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| author | Ryan OShea <Ryan.OShea2@arm.com> | 2020-08-25 12:35:58 +0100 |
|---|---|---|
| committer | Ryan OShea <Ryan.OShea2@arm.com> | 2020-08-25 12:35:58 +0100 |
| commit | 4840dfb7543d66652dc11c5ff39c8f5c1e2f9370 (patch) | |
| tree | e4fe9fc2d0f003ac939fdb085de2c21b64dd66fc /20.08/classarmnn_1_1_tensor_info.xhtml | |
| parent | a983e4699082a0b1ef685bab7354f2ad9cd37a44 (diff) | |
| download | armnn-4840dfb7543d66652dc11c5ff39c8f5c1e2f9370.tar.gz | |
Updating Doxygen Documentation for 20.08 release
Signed-off-by: Ryan OShea <Ryan.OShea2@arm.com>
Change-Id: I605409f8720de5353feceb161b39f8a5f0598180
Diffstat (limited to '20.08/classarmnn_1_1_tensor_info.xhtml')
| -rw-r--r-- | 20.08/classarmnn_1_1_tensor_info.xhtml | 1005 |
1 files changed, 1005 insertions, 0 deletions
diff --git a/20.08/classarmnn_1_1_tensor_info.xhtml b/20.08/classarmnn_1_1_tensor_info.xhtml new file mode 100644 index 0000000000..af7c66e0fe --- /dev/null +++ b/20.08/classarmnn_1_1_tensor_info.xhtml @@ -0,0 +1,1005 @@ +<!-- 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: TensorInfo Class Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> 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remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">20.08</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_info.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="#nested-classes">Classes</a> | +<a href="#pub-methods">Public Member Functions</a> | +<a href="classarmnn_1_1_tensor_info-members.xhtml">List of all members</a> </div> + <div class="headertitle"> +<div class="title">TensorInfo 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:a21c2ae9fa438faf42669dadda628080c"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a> ()</td></tr> +<tr class="memdesc:a21c2ae9fa438faf42669dadda628080c"><td class="mdescLeft"> </td><td class="mdescRight">Empty (invalid) constructor. <a href="#a21c2ae9fa438faf42669dadda628080c">More...</a><br /></td></tr> +<tr class="separator:a21c2ae9fa438faf42669dadda628080c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae0f1e7addec3daacb5e656e3031e84b2"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#ae0f1e7addec3daacb5e656e3031e84b2">TensorInfo</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &shape, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType, float quantizationScale=0.0f, int32_t quantizationOffset=0)</td></tr> +<tr class="separator:ae0f1e7addec3daacb5e656e3031e84b2"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac478f429b6f31e62bc72bdfc9c9ad242"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#ac478f429b6f31e62bc72bdfc9c9ad242">TensorInfo</a> (unsigned int numDimensions, const unsigned int *dimensionSizes, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType, float quantizationScale=0.0f, int32_t quantizationOffset=0)</td></tr> +<tr class="separator:ac478f429b6f31e62bc72bdfc9c9ad242"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac58c3467c7a7998120249cd0b940d221"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#ac58c3467c7a7998120249cd0b940d221">TensorInfo</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &shape, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType, const std::vector< float > &quantizationScales, unsigned int quantizationDim)</td></tr> +<tr class="separator:ac58c3467c7a7998120249cd0b940d221"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1e546b0233ac93ef3ef0e9ee96117c76"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#a1e546b0233ac93ef3ef0e9ee96117c76">TensorInfo</a> (unsigned int numDimensions, const unsigned int *dimensionSizes, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType, const std::vector< float > &quantizationScales, unsigned int quantizationDim)</td></tr> +<tr class="separator:a1e546b0233ac93ef3ef0e9ee96117c76"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aef0989e23ab5fc862df9981d3b371f63"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#aef0989e23ab5fc862df9981d3b371f63">TensorInfo</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &other)</td></tr> +<tr class="separator:aef0989e23ab5fc862df9981d3b371f63"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac45c8c0052476cd66ef732de76dd9bc8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#ac45c8c0052476cd66ef732de76dd9bc8">operator=</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &other)</td></tr> +<tr class="separator:ac45c8c0052476cd66ef732de76dd9bc8"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a586e1eec08e847abfeb3de3a4038c5ce"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#a586e1eec08e847abfeb3de3a4038c5ce">operator==</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &other) const</td></tr> +<tr class="separator:a586e1eec08e847abfeb3de3a4038c5ce"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2a944e616dc6fdde5287b17f2265307d"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#a2a944e616dc6fdde5287b17f2265307d">operator!=</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &other) const</td></tr> +<tr class="separator:a2a944e616dc6fdde5287b17f2265307d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8b5d0f8a24e9d9238f412260a552acf8"><td class="memItemLeft" align="right" valign="top">const <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_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a> () const</td></tr> +<tr class="separator:a8b5d0f8a24e9d9238f412260a552acf8"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a350bcc7d86f7d9333340a0a04be078f6"><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_info.xhtml#a350bcc7d86f7d9333340a0a04be078f6">GetShape</a> ()</td></tr> +<tr class="separator:a350bcc7d86f7d9333340a0a04be078f6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abe8889e8150beef5fd204b2d87b49298"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &newShape)</td></tr> +<tr class="separator:abe8889e8150beef5fd204b2d87b49298"><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_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a> () const</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_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a> () const</td></tr> +<tr class="separator:a8846406ac37fbd2204f0be16ee05d5b7"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aea909c7327109228ef618d459015def3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a> () const</td></tr> +<tr class="separator:aea909c7327109228ef618d459015def3"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a71975fcec1464d639f1a78f73164d1bd"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a> (<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> type)</td></tr> +<tr class="separator:a71975fcec1464d639f1a78f73164d1bd"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af672d1c9e2a120a18926cb645981fbb7"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#af672d1c9e2a120a18926cb645981fbb7">HasMultipleQuantizationScales</a> () const</td></tr> +<tr class="separator:af672d1c9e2a120a18926cb645981fbb7"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab85cd8cc10c96a7c99c14042c251fc48"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#ab85cd8cc10c96a7c99c14042c251fc48">HasPerAxisQuantization</a> () const</td></tr> +<tr class="separator:ab85cd8cc10c96a7c99c14042c251fc48"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8bc11f1fa23ef42532f9fdd04d355270"><td class="memItemLeft" align="right" valign="top">std::vector< float > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#a8bc11f1fa23ef42532f9fdd04d355270">GetQuantizationScales</a> () const</td></tr> +<tr class="separator:a8bc11f1fa23ef42532f9fdd04d355270"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1a8675f9d64c3fb59e6af15362bb6332"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#a1a8675f9d64c3fb59e6af15362bb6332">SetQuantizationScales</a> (const std::vector< float > &scales)</td></tr> +<tr class="separator:a1a8675f9d64c3fb59e6af15362bb6332"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a047ca888c43bd7fb5702853bf72410d0"><td class="memItemLeft" align="right" valign="top">float </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a> () const</td></tr> +<tr class="separator:a047ca888c43bd7fb5702853bf72410d0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a685739c4eb65a580e075282cfe6787d6"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a> (float scale)</td></tr> +<tr class="separator:a685739c4eb65a580e075282cfe6787d6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a770b51078da02f44a819e9f95d8058b5"><td class="memItemLeft" align="right" valign="top">int32_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a> () const</td></tr> +<tr class="separator:a770b51078da02f44a819e9f95d8058b5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a63cbc581012c957f9d68d224ddc3e43c"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a> (int32_t offset)</td></tr> +<tr class="separator:a63cbc581012c957f9d68d224ddc3e43c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8b8fc85ce966c035d789cf22db5088a1"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< unsigned int > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#a8b8fc85ce966c035d789cf22db5088a1">GetQuantizationDim</a> () const</td></tr> +<tr class="separator:a8b8fc85ce966c035d789cf22db5088a1"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a519efe8ff6dc3aacdfe8a999415e3e4e"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#a519efe8ff6dc3aacdfe8a999415e3e4e">SetQuantizationDim</a> (const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< unsigned int > &quantizationDim)</td></tr> +<tr class="separator:a519efe8ff6dc3aacdfe8a999415e3e4e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7c00efeb540198b33b8558c76e5cc2dd"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#a7c00efeb540198b33b8558c76e5cc2dd">IsQuantized</a> () const</td></tr> +<tr class="separator:a7c00efeb540198b33b8558c76e5cc2dd"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a22f377fc4e10dc1773a3f979061e85f1"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#a22f377fc4e10dc1773a3f979061e85f1">IsTypeSpaceMatch</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &other) const</td></tr> +<tr class="memdesc:a22f377fc4e10dc1773a3f979061e85f1"><td class="mdescLeft"> </td><td class="mdescRight">Check that the types are the same and, if quantize, that the quantization parameters are the same. <a href="#a22f377fc4e10dc1773a3f979061e85f1">More...</a><br /></td></tr> +<tr class="separator:a22f377fc4e10dc1773a3f979061e85f1"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abcbdfb544ece4c31d0b37715ad0f3be0"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_info.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a> () const</td></tr> +<tr class="separator:abcbdfb544ece4c31d0b37715ad0f3be0"><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#l00152">152</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="a21c2ae9fa438faf42669dadda628080c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a21c2ae9fa438faf42669dadda628080c">◆ </a></span>TensorInfo() <span class="overload">[1/6]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</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#l00342">342</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> : m_DataType(<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ae0f1e7addec3daacb5e656e3031e84b2"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae0f1e7addec3daacb5e656e3031e84b2">◆ </a></span>TensorInfo() <span class="overload">[2/6]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</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>shape</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> + <td class="paramname"><em>dataType</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>quantizationScale</em> = <code>0.0f</code>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>quantizationOffset</em> = <code>0</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="_tensor_8cpp_source.xhtml#l00347">347</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#l00481">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00465">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  : m_Shape(shape)</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  , m_DataType(dataType)</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> {</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(quantizationScale);</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(quantizationOffset);</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> }</div><div class="ttc" id="classarmnn_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#l00465">Tensor.cpp:465</a></div></div> +<div class="ttc" id="classarmnn_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#l00481">Tensor.cpp:481</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ac478f429b6f31e62bc72bdfc9c9ad242"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac478f429b6f31e62bc72bdfc9c9ad242">◆ </a></span>TensorInfo() <span class="overload">[3/6]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</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"><a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> + <td class="paramname"><em>dataType</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>quantizationScale</em> = <code>0.0f</code>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>quantizationOffset</em> = <code>0</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="_tensor_8cpp_source.xhtml#l00358">358</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#l00481">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00465">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  : m_Shape(numDimensions, dimensionSizes)</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  , m_DataType(dataType)</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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(quantizationScale);</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(quantizationOffset);</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span> }</div><div class="ttc" id="classarmnn_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#l00465">Tensor.cpp:465</a></div></div> +<div class="ttc" id="classarmnn_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#l00481">Tensor.cpp:481</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ac58c3467c7a7998120249cd0b940d221"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac58c3467c7a7998120249cd0b940d221">◆ </a></span>TensorInfo() <span class="overload">[4/6]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</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>shape</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> + <td class="paramname"><em>dataType</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< float > & </td> + <td class="paramname"><em>quantizationScales</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>quantizationDim</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="_tensor_8cpp_source.xhtml#l00370">370</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#l00491">TensorInfo::SetQuantizationDim()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00448">TensorInfo::SetQuantizationScales()</a>.</p> +<div class="fragment"><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  : m_Shape(shape)</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  , m_DataType(dataType)</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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml#a1a8675f9d64c3fb59e6af15362bb6332">SetQuantizationScales</a>(quantizationScales);</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml#a519efe8ff6dc3aacdfe8a999415e3e4e">SetQuantizationDim</a>(MakeOptional<unsigned int>(quantizationDim));</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> }</div><div class="ttc" id="classarmnn_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#l00491">Tensor.cpp:491</a></div></div> +<div class="ttc" id="classarmnn_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#l00448">Tensor.cpp:448</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a1e546b0233ac93ef3ef0e9ee96117c76"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1e546b0233ac93ef3ef0e9ee96117c76">◆ </a></span>TensorInfo() <span class="overload">[5/6]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</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"><a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> + <td class="paramname"><em>dataType</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< float > & </td> + <td class="paramname"><em>quantizationScales</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>quantizationDim</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="_tensor_8cpp_source.xhtml#l00381">381</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#l00491">TensorInfo::SetQuantizationDim()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00448">TensorInfo::SetQuantizationScales()</a>.</p> +<div class="fragment"><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  : m_Shape(numDimensions, dimensionSizes)</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  , m_DataType(dataType)</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_1_1_tensor_info.xhtml#a1a8675f9d64c3fb59e6af15362bb6332">SetQuantizationScales</a>(quantizationScales);</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml#a519efe8ff6dc3aacdfe8a999415e3e4e">SetQuantizationDim</a>(MakeOptional<unsigned int>(quantizationDim));</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> }</div><div class="ttc" id="classarmnn_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#l00491">Tensor.cpp:491</a></div></div> +<div class="ttc" id="classarmnn_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#l00448">Tensor.cpp:448</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aef0989e23ab5fc862df9981d3b371f63"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aef0989e23ab5fc862df9981d3b371f63">◆ </a></span>TensorInfo() <span class="overload">[6/6]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>other</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00393">393</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> : m_Shape(other.m_Shape)</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> , m_DataType(other.m_DataType)</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> , m_Quantization(other.m_Quantization)</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> {}</div></div><!-- fragment --> +</div> +</div> +<h2 class="groupheader">Member Function Documentation</h2> +<a id="aea909c7327109228ef618d459015def3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aea909c7327109228ef618d459015def3">◆ </a></span>GetDataType()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> GetDataType </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </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="_tensor_8hpp_source.xhtml#l00194">194</a> of file <a class="el" href="_tensor_8hpp_source.xhtml">Tensor.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00130">BiasAndWeightsTypesCompatible::BiasAndWeightsTypesCompatible()</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00121">BiasAndWeightsTypesMatch::BiasAndWeightsTypesMatch()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00346">armnn::BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_network_tests_8cpp_source.xhtml#l00374">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_parser_helper_8cpp_source.xhtml#l00054">armnnUtils::CalculateReducedOutputTensoInfo()</a>, <a class="el" href="_parser_helper_8cpp_source.xhtml#l00105">armnnUtils::CalculateStridedSliceOutputTensorInfo()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00115">armnn::CheckScaleSetOnQuantizedType()</a>, <a class="el" href="_layer_support_8cpp_source.xhtml#l00064">armnn::CheckTensorDataTypesEqual()</a>, <a class="el" href="_cl_convert_fp16_to_fp32_workload_8cpp_source.xhtml#l00035">armnn::ClConvertFp16ToFp32WorkloadValidate()</a>, <a class="el" href="_cl_convert_fp32_to_fp16_workload_8cpp_source.xhtml#l00035">armnn::ClConvertFp32ToFp16WorkloadValidate()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00151">armnn::ConvertBf16ToFp32Weight()</a>, <a class="el" href="_convert_fp32_network_to_bf16_8hpp_source.xhtml#l00018">armnn::optimizations::ConvertWeight()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00683">TfLiteParser::CreateNetworkFromBinary()</a>, <a class="el" href="_network_quantizer_utils_8cpp_source.xhtml#l00015">armnn::CreateQuantizedConst()</a>, <a class="el" href="_ref_depth_to_space_workload_8cpp_source.xhtml#l00014">RefDepthToSpaceWorkload::Execute()</a>, <a class="el" href="_ref_strided_slice_workload_8cpp_source.xhtml#l00020">RefStridedSliceWorkload::Execute()</a>, <a class="el" href="_ref_slice_workload_8cpp_source.xhtml#l00016">RefSliceWorkload::Execute()</a>, <a class="el" href="_ref_lstm_workload_8cpp_source.xhtml#l00041">RefLstmWorkload::Execute()</a>, <a class="el" href="_convert_constants_8hpp_source.xhtml#l00026">BFloat16ToFloat32::Func()</a>, <a class="el" href="_convert_constants_8hpp_source.xhtml#l00047">Float16ToFloat32::Func()</a>, <a class="el" href="_convert_constants_8hpp_source.xhtml#l00068">Float32ToBFloat16::Func()</a>, <a class="el" href="_convert_constants_8hpp_source.xhtml#l00089">Float32ToFloat16::Func()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l00025">armnn::GetBiasDataType()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l03303">TfLiteParser::GetBuffer()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00279">Layer::GetDataType()</a>, <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00152">armnnUtils::GetPerAxisParams()</a>, <a class="el" href="_cpu_tensor_handle_8cpp_source.xhtml#l00015">armnn::GetUnpaddedTensorStrides()</a>, <a class="el" href="_neon_workload_utils_8hpp_source.xhtml#l00035">armnn::InitializeArmComputeTensorData()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00051">armnn::InsertConvertBf16ToFp32LayersBefore()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00129">armnn::InsertConvertFp16ToFp32LayersBefore()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00168">armnn::InsertConvertFp32ToBf16LayersAfter()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00090">armnn::InsertConvertFp32ToBf16LayersBefore()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00201">armnn::InsertConvertFp32ToFp16LayersAfter()</a>, <a class="el" href="_sample_dynamic_layer_support_8cpp_source.xhtml#l00027">SampleDynamicLayerSupport::IsAdditionSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00402">RefLayerSupport::IsConvertFp16ToFp32Supported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00437">RefLayerSupport::IsConvertFp32ToFp16Supported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00457">RefLayerSupport::IsConvolution2dSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00602">RefLayerSupport::IsDepthwiseConvolutionSupported()</a>, <a class="el" href="_neon_layer_support_8cpp_source.xhtml#l00421">NeonLayerSupport::IsFloorSupported()</a>, <a class="el" href="_layer_support_8cpp_source.xhtml#l00282">armnn::IsFloorSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00908">RefLayerSupport::IsFullyConnectedSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.xhtml#l00666">ClLayerSupport::IsQLstmSupported()</a>, <a class="el" href="_neon_layer_support_8cpp_source.xhtml#l00655">NeonLayerSupport::IsQLstmSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.xhtml#l00808">ClLayerSupport::IsSplitterSupported()</a>, <a class="el" href="_neon_layer_support_8cpp_source.xhtml#l00809">NeonLayerSupport::IsSplitterSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02066">RefLayerSupport::IsTransposeConvolution2dSupported()</a>, <a class="el" href="_model_accuracy_tool-_armnn_8cpp_source.xhtml#l00048">main()</a>, <a class="el" href="_decoders_8hpp_source.xhtml#l00070">armnn::MakeDecoder()</a>, <a class="el" href="_encoders_8hpp_source.xhtml#l00021">armnn::MakeEncoder()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l01467">armnnTfParser::OutputShapeOfExpandDims()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02151">TfLiteParser::OutputShapeOfReshape()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02464">armnnTfParser::OutputShapeOfSqueeze()</a>, <a class="el" href="_workload_utils_8cpp_source.xhtml#l00015">armnn::PermuteTensor()</a>, <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.xhtml#l00018">ConvertFp32NetworkToFp16Impl::Run()</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00094">TypeAnyOf::TypeAnyOf()</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00105">TypeIs::TypeIs()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l00616">ArgMinMaxQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l00992">FullyConnectedQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l01202">Convolution2dQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l01268">DepthwiseConvolution2dQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l02339">QuantizeQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l02491">EqualQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l02079">ConvertBf16ToFp32QueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l02102">ConvertFp32ToBf16QueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l02148">ConvertFp16ToFp32QueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l02125">ConvertFp32ToFp16QueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l02515">GreaterQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l02565">GatherQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l02668">DequantizeQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l02794">TransposeConvolution2dQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l03467">ComparisonQueueDescriptor::Validate()</a>, <a class="el" href="_types_utils_8hpp_source.xhtml#l00296">armnn::VerifyTensorInfoDataType()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00322">QuantizerVisitor::VisitInputLayer()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00384">QuantizerVisitor::VisitOutputLayer()</a>, and <a class="el" href="_serializer_8cpp_source.xhtml#l01497">SerializerVisitor::VisitQuantizedLstmLayer()</a>.</p> +<div class="fragment"><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> { <span class="keywordflow">return</span> m_DataType; }</div></div><!-- fragment --> +</div> +</div> +<a id="abcbdfb544ece4c31d0b37715ad0f3be0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abcbdfb544ece4c31d0b37715ad0f3be0">◆ </a></span>GetNumBytes()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">unsigned int GetNumBytes </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00419">419</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_types_utils_8hpp_source.xhtml#l00115">armnn::GetDataTypeSize()</a>, and <a class="el" href="_tensor_8hpp_source.xhtml#l00192">TensorInfo::GetNumElements()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_tensor_handle_8cpp_source.xhtml#l00057">RefTensorHandle::Allocate()</a>, <a class="el" href="_sample_tensor_handle_8cpp_source.xhtml#l00052">SampleTensorHandle::Allocate()</a>, <a class="el" href="_cpu_tensor_handle_8cpp_source.xhtml#l00091">ScopedCpuTensorHandle::Allocate()</a>, <a class="el" href="_cl_depthwise_convolution_workload_8cpp_source.xhtml#l00070">ClDepthwiseConvolutionWorkload::ClDepthwiseConvolutionWorkload()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02831">armnnTfLiteParser::ComputeWrappedIndex()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00314">ConstTensor::ConstTensor()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00683">TfLiteParser::CreateNetworkFromBinary()</a>, <a class="el" href="_ref_reshape_workload_8cpp_source.xhtml#l00015">RefReshapeWorkload::Execute()</a>, <a class="el" href="_sample_tensor_handle_8cpp_source.xhtml#l00091">SampleTensorHandle::Import()</a>, <a class="el" href="_sample_tensor_handle_8cpp_source.xhtml#l00047">SampleTensorHandle::Manage()</a>, <a class="el" href="_ref_tensor_handle_8cpp_source.xhtml#l00046">RefTensorHandle::Manage()</a>, <a class="el" href="_ref_tensor_handle_8cpp_source.xhtml#l00083">RefTensorHandle::Map()</a>, <a class="el" href="_neon_depthwise_convolution_workload_8cpp_source.xhtml#l00072">NeonDepthwiseConvolutionWorkload::NeonDepthwiseConvolutionWorkload()</a>, <a class="el" href="_onnx_parser_8cpp_source.xhtml#l00449">OnnxParser::OnnxParser()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02151">TfLiteParser::OutputShapeOfReshape()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01625">TfLiteParser::OutputShapeOfSqueeze()</a>, <a class="el" href="_workload_utils_8cpp_source.xhtml#l00015">armnn::PermuteTensor()</a>, <a class="el" href="_ref_constant_workload_8cpp_source.xhtml#l00023">RefConstantWorkload::PostAllocationConfigure()</a>, <a class="el" href="_workload_utils_8cpp_source.xhtml#l00064">armnn::ReorderWeightChannelsForAcl()</a>, and <a class="el" href="_cpu_tensor_handle_8cpp_source.xhtml#l00066">ScopedCpuTensorHandle::ScopedCpuTensorHandle()</a>.</p> +<div class="fragment"><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> {</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aa02b9e06fb20fa3c13da0427e6ee5ab2">GetDataTypeSize</a>(m_DataType) * <a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00192">Tensor.hpp:192</a></div></div> +<div class="ttc" id="namespacearmnn_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#l00115">TypesUtils.hpp:115</a></div></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="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">unsigned int GetNumDimensions </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8hpp_source.xhtml#l00191">191</a> of file <a class="el" href="_tensor_8hpp_source.xhtml">Tensor.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_arg_min_max_8cpp_source.xhtml#l00015">armnn::ArgMinMax()</a>, <a class="el" href="_parser_helper_test_8cpp_source.xhtml#l00019">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml#l00027">BOOST_FIXTURE_TEST_CASE()</a>, <a class="el" href="_tensor_test_8cpp_source.xhtml#l00014">armnn::boost_test_print_type()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02139">armnnTfParser::CalculatePaddedOutputTensorInfo()</a>, <a class="el" href="_parser_helper_8cpp_source.xhtml#l00054">armnnUtils::CalculateReducedOutputTensoInfo()</a>, <a class="el" href="_parser_helper_8cpp_source.xhtml#l00105">armnnUtils::CalculateStridedSliceOutputTensorInfo()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02107">armnnTfParser::CheckPaddingTensor()</a>, <a class="el" href="_arm_compute_utils_8hpp_source.xhtml#l00193">armnn::ComputeAclAxis()</a>, <a class="el" href="_arm_compute_utils_8hpp_source.xhtml#l00209">armnn::ComputePositiveAxis()</a>, <a class="el" href="_arm_compute_utils_8hpp_source.xhtml#l00154">armnn::ComputeSoftmaxAclAxis()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02831">armnnTfLiteParser::ComputeWrappedIndex()</a>, <a class="el" href="_concatenate_8cpp_source.xhtml#l00014">armnn::Concatenate()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00683">TfLiteParser::CreateNetworkFromBinary()</a>, <a class="el" href="_debug_8cpp_source.xhtml#l00020">armnn::Debug()</a>, <a class="el" href="_ref_rank_workload_8hpp_source.xhtml#l00020">RefRankWorkload::Execute()</a>, <a class="el" href="backends_2reference_2workloads_2_gather_8cpp_source.xhtml#l00018">armnn::Gather()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l00025">armnn::GetBiasDataType()</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00016">GetTensorShapeAsArray()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00253">RefLayerSupport::IsBatchToSpaceNdSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01287">RefLayerSupport::IsMeanSupported()</a>, <a class="el" href="_log_softmax_8cpp_source.xhtml#l00030">armnn::LogSoftmax()</a>, <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00199">MakeTensor()</a>, <a class="el" href="backends_2reference_2workloads_2_mean_8cpp_source.xhtml#l00071">armnn::Mean()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l01467">armnnTfParser::OutputShapeOfExpandDims()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02151">TfLiteParser::OutputShapeOfReshape()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01625">TfLiteParser::OutputShapeOfSqueeze()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02464">armnnTfParser::OutputShapeOfSqueeze()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01278">CaffeParserBase::ParseConcatLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01135">CaffeParserBase::ParseInnerProductLayer()</a>, <a class="el" href="_ref_fully_connected_workload_8cpp_source.xhtml#l00032">RefFullyConnectedWorkload::PostAllocationConfigure()</a>, <a class="el" href="_parser_helper_8cpp_source.xhtml#l00019">armnnUtils::ProcessConcatInputTensorInfo()</a>, <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.xhtml#l00021">PermuteAndBatchToSpaceAsDepthToSpaceImpl< PermuteType >::Run()</a>, <a class="el" href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00251">ParserFlatbuffersFixture::RunTest()</a>, <a class="el" href="backends_2reference_2workloads_2_softmax_8cpp_source.xhtml#l00017">armnn::Softmax()</a>, <a class="el" href="_splitter_8cpp_source.xhtml#l00021">armnn::Split()</a>, <a class="el" href="_splitter_8hpp_source.xhtml#l00017">armnn::Splitter()</a>, <a class="el" href="backends_2reference_2workloads_2_stack_8cpp_source.xhtml#l00012">armnn::Stack()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00326">armnnCaffeParser::TensorDescToBlobShape()</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00184">TensorNumDimensionsAreCorrect::TensorNumDimensionsAreCorrect()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00555">TfLiteParser::TfLiteParser()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00514">TfParser::TfParser()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l00992">FullyConnectedQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l02273">MeanQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l02317">PadQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l01518">InstanceNormalizationQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l01547">L2NormalizationQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l02392">StridedSliceQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l02565">GatherQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l03359">SliceQueueDescriptor::Validate()</a>, <a class="el" href="_fill_layer_8cpp_source.xhtml#l00032">FillLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mean_layer_8cpp_source.xhtml#l00041">MeanLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_gather_layer_8cpp_source.xhtml#l00032">GatherLayer::ValidateTensorShapesFromInputs()</a>.</p> +<div class="fragment"><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> { <span class="keywordflow">return</span> m_Shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); }</div><div class="ttc" id="classarmnn_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#l00175">Tensor.cpp:175</a></div></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="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">unsigned int GetNumElements </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8hpp_source.xhtml#l00192">192</a> of file <a class="el" href="_tensor_8hpp_source.xhtml">Tensor.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_activation_8cpp_source.xhtml#l00095">armnn::Activation()</a>, <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml#l00027">BOOST_FIXTURE_TEST_CASE()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02831">armnnTfLiteParser::ComputeWrappedIndex()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00455">Concat2dTestImpl()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00720">Concat3dTestImpl()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l01404">Concat4dTestImpl()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00151">armnn::ConvertBf16ToFp32Weight()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00932">armnnTfParser::ConvertTfTensorDataType()</a>, <a class="el" href="_convert_fp32_network_to_bf16_8hpp_source.xhtml#l00018">armnn::optimizations::ConvertWeight()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00683">TfLiteParser::CreateNetworkFromBinary()</a>, <a class="el" href="_network_quantizer_utils_8cpp_source.xhtml#l00015">armnn::CreateQuantizedConst()</a>, <a class="el" href="_debug_8cpp_source.xhtml#l00020">armnn::Debug()</a>, <a class="el" href="backends_2reference_2workloads_2_dequantize_8cpp_source.xhtml#l00013">armnn::Dequantize()</a>, <a class="el" href="backends_2reference_2workloads_2_detection_post_process_8cpp_source.xhtml#l00141">armnn::DetectionPostProcess()</a>, <a class="el" href="_ref_convert_bf16_to_fp32_workload_8cpp_source.xhtml#l00016">RefConvertBf16ToFp32Workload::Execute()</a>, <a class="el" href="_ref_convert_fp16_to_fp32_workload_8cpp_source.xhtml#l00016">RefConvertFp16ToFp32Workload::Execute()</a>, <a class="el" href="_ref_convert_fp32_to_bf16_workload_8cpp_source.xhtml#l00016">RefConvertFp32ToBf16Workload::Execute()</a>, <a class="el" href="_ref_fake_quantization_float32_workload_8cpp_source.xhtml#l00029">RefFakeQuantizationFloat32Workload::Execute()</a>, <a class="el" href="_ref_floor_workload_8cpp_source.xhtml#l00016">RefFloorWorkload::Execute()</a>, <a class="el" href="_sample_dynamic_addition_workload_8cpp_source.xhtml#l00039">SampleDynamicAdditionWorkload::Execute()</a>, <a class="el" href="_ref_convert_fp32_to_fp16_workload_8cpp_source.xhtml#l00017">RefConvertFp32ToFp16Workload::Execute()</a>, <a class="el" href="_ref_stack_workload_8cpp_source.xhtml#l00021">RefStackWorkload::Execute()</a>, <a class="el" href="_ref_debug_workload_8cpp_source.xhtml#l00018">RefDebugWorkload< DataType >::Execute()</a>, <a class="el" href="_convert_constants_8hpp_source.xhtml#l00026">BFloat16ToFloat32::Func()</a>, <a class="el" href="_convert_constants_8hpp_source.xhtml#l00047">Float16ToFloat32::Func()</a>, <a class="el" href="_convert_constants_8hpp_source.xhtml#l00068">Float32ToBFloat16::Func()</a>, <a class="el" href="_convert_constants_8hpp_source.xhtml#l00089">Float32ToFloat16::Func()</a>, <a class="el" href="backends_2reference_2workloads_2_gather_8cpp_source.xhtml#l00018">armnn::Gather()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l00025">armnn::GetBiasDataType()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00419">TensorInfo::GetNumBytes()</a>, <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00233">MakeRandomTensor()</a>, <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00199">MakeTensor()</a>, <a class="el" href="_onnx_parser_8cpp_source.xhtml#l00449">OnnxParser::OnnxParser()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l01994">Deserializer::OutputShapeOfReshape()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02151">TfLiteParser::OutputShapeOfReshape()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01625">TfLiteParser::OutputShapeOfSqueeze()</a>, <a class="el" href="backends_2reference_2workloads_2_pad_8cpp_source.xhtml#l00039">armnn::Pad()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00240">PermuteOutputForConcat()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00121">PermuteTensorData()</a>, <a class="el" href="_ref_workload_utils_8hpp_source.xhtml#l00108">armnn::Quantize()</a>, <a class="el" href="_detection_post_process_test_impl_8hpp_source.xhtml#l00235">QuantizeData()</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00149">ShapesAreSameTotalSize::ShapesAreSameTotalSize()</a>, <a class="el" href="_splitter_8hpp_source.xhtml#l00017">armnn::Splitter()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00514">TfParser::TfParser()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l00593">armnnDeserializer::ToConstTensor()</a>, and <a class="el" href="_workload_data_8cpp_source.xhtml#l01661">SpaceToBatchNdQueueDescriptor::Validate()</a>.</p> +<div class="fragment"><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> { <span class="keywordflow">return</span> m_Shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); }</div><div class="ttc" id="classarmnn_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#l00182">Tensor.cpp:182</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a8b8fc85ce966c035d789cf22db5088a1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8b8fc85ce966c035d789cf22db5088a1">◆ </a></span>GetQuantizationDim()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< unsigned int > GetQuantizationDim </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00486">486</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_workload_data_8cpp_source.xhtml#l00025">armnn::GetBiasDataType()</a>, <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00152">armnnUtils::GetPerAxisParams()</a>, <a class="el" href="_permute_8cpp_source.xhtml#l00115">armnnUtils::Permuted()</a>, and <a class="el" href="_serializer_8cpp_source.xhtml#l01497">SerializerVisitor::VisitQuantizedLstmLayer()</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">return</span> m_Quantization.m_QuantizationDim;</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a770b51078da02f44a819e9f95d8058b5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a770b51078da02f44a819e9f95d8058b5">◆ </a></span>GetQuantizationOffset()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">int32_t GetQuantizationOffset </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00470">470</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#l00125">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00346">armnn::BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00115">armnn::CheckScaleSetOnQuantizedType()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01599">DepthwiseConvolution2dAsymmetricTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01736">DepthwiseConvolution2dDepthMul1TestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01889">DepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_ref_workload_utils_8hpp_source.xhtml#l00089">armnn::Dequantize()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l00025">armnn::GetBiasDataType()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00424">TensorInfo::IsTypeSpaceMatch()</a>, <a class="el" href="_decoders_8hpp_source.xhtml#l00070">armnn::MakeDecoder()</a>, <a class="el" href="_encoders_8hpp_source.xhtml#l00021">armnn::MakeEncoder()</a>, <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00233">MakeRandomTensor()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02151">TfLiteParser::OutputShapeOfReshape()</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00084">QuantizationParametersAreEqual::QuantizationParametersAreEqual()</a>, <a class="el" href="_ref_workload_utils_8hpp_source.xhtml#l00108">armnn::Quantize()</a>, <a class="el" href="_detection_post_process_test_impl_8hpp_source.xhtml#l00235">QuantizeData()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00201">SimpleConvolution2dTestImpl()</a>, and <a class="el" href="_serializer_8cpp_source.xhtml#l01497">SerializerVisitor::VisitQuantizedLstmLayer()</a>.</p> +<div class="fragment"><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> {</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keywordflow">if</span> (!m_Quantization.m_Offset.has_value())</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>  <span class="comment">// NOTE: old default for backward compatibility</span></div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  }</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>  <span class="keywordflow">return</span> m_Quantization.m_Offset.value();</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a047ca888c43bd7fb5702853bf72410d0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a047ca888c43bd7fb5702853bf72410d0">◆ </a></span>GetQuantizationScale()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">float GetQuantizationScale </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00453">453</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>, and <a class="el" href="_tensor_8hpp_source.xhtml#l00197">TensorInfo::HasMultipleQuantizationScales()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_tensor_test_8cpp_source.xhtml#l00125">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00346">armnn::BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00115">armnn::CheckScaleSetOnQuantizedType()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01599">DepthwiseConvolution2dAsymmetricTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01736">DepthwiseConvolution2dDepthMul1TestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01889">DepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_ref_workload_utils_8hpp_source.xhtml#l00089">armnn::Dequantize()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l00025">armnn::GetBiasDataType()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00424">TensorInfo::IsTypeSpaceMatch()</a>, <a class="el" href="_decoders_8hpp_source.xhtml#l00070">armnn::MakeDecoder()</a>, <a class="el" href="_encoders_8hpp_source.xhtml#l00021">armnn::MakeEncoder()</a>, <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00233">MakeRandomTensor()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02151">TfLiteParser::OutputShapeOfReshape()</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00084">QuantizationParametersAreEqual::QuantizationParametersAreEqual()</a>, <a class="el" href="_ref_workload_utils_8hpp_source.xhtml#l00108">armnn::Quantize()</a>, <a class="el" href="_detection_post_process_test_impl_8hpp_source.xhtml#l00235">QuantizeData()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00016">QuantizerVisitor::QuantizerVisitor()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00201">SimpleConvolution2dTestImpl()</a>, and <a class="el" href="_serializer_8cpp_source.xhtml#l01497">SerializerVisitor::VisitQuantizedLstmLayer()</a>.</p> +<div class="fragment"><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> {</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keywordflow">if</span> (m_Quantization.m_Scales.empty())</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>  <span class="comment">// NOTE: old default for backward compatibility</span></div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">return</span> 1.0f;</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>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(!<a class="code" href="classarmnn_1_1_tensor_info.xhtml#af672d1c9e2a120a18926cb645981fbb7">HasMultipleQuantizationScales</a>());</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="keywordflow">return</span> m_Quantization.m_Scales[0];</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_af672d1c9e2a120a18926cb645981fbb7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#af672d1c9e2a120a18926cb645981fbb7">armnn::TensorInfo::HasMultipleQuantizationScales</a></div><div class="ttdeci">bool HasMultipleQuantizationScales() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00197">Tensor.hpp:197</a></div></div> +<div class="ttc" id="_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><!-- fragment --> +</div> +</div> +<a id="a8bc11f1fa23ef42532f9fdd04d355270"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8bc11f1fa23ef42532f9fdd04d355270">◆ </a></span>GetQuantizationScales()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">std::vector< float > GetQuantizationScales </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00443">443</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_workload_data_8cpp_source.xhtml#l00025">armnn::GetBiasDataType()</a>, <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00152">armnnUtils::GetPerAxisParams()</a>, and <a class="el" href="_serializer_8cpp_source.xhtml#l01497">SerializerVisitor::VisitQuantizedLstmLayer()</a>.</p> +<div class="fragment"><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> m_Quantization.m_Scales;</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a8b5d0f8a24e9d9238f412260a552acf8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8b5d0f8a24e9d9238f412260a552acf8">◆ </a></span>GetShape() <span class="overload">[1/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& GetShape </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8hpp_source.xhtml#l00187">187</a> of file <a class="el" href="_tensor_8hpp_source.xhtml">Tensor.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_arg_min_max_8cpp_source.xhtml#l00015">armnn::ArgMinMax()</a>, <a class="el" href="_batch_norm_impl_8cpp_source.xhtml#l00018">armnn::BatchNormImpl()</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#l00125">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l02548">armnn::BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml#l00027">BOOST_FIXTURE_TEST_CASE()</a>, <a class="el" href="_tensor_test_8cpp_source.xhtml#l00014">armnn::boost_test_print_type()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02139">armnnTfParser::CalculatePaddedOutputTensorInfo()</a>, <a class="el" href="_parser_helper_8cpp_source.xhtml#l00054">armnnUtils::CalculateReducedOutputTensoInfo()</a>, <a class="el" href="_parser_helper_8cpp_source.xhtml#l00105">armnnUtils::CalculateStridedSliceOutputTensorInfo()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02831">armnnTfLiteParser::ComputeWrappedIndex()</a>, <a class="el" href="_concatenate_8cpp_source.xhtml#l00014">armnn::Concatenate()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00273">Concatenate()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00151">armnn::ConvertBf16ToFp32Weight()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00932">armnnTfParser::ConvertTfTensorDataType()</a>, <a class="el" href="_convert_fp32_network_to_bf16_8hpp_source.xhtml#l00018">armnn::optimizations::ConvertWeight()</a>, <a class="el" href="_workload_utils_8cpp_source.xhtml#l00134">armnn::ConvertWeightTensorFromArmnnToAcl()</a>, <a class="el" href="_arm_compute_utils_8hpp_source.xhtml#l00017">armnn::CreateAclNormalizationLayerInfoForL2Normalization()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00683">TfLiteParser::CreateNetworkFromBinary()</a>, <a class="el" href="_onnx_parser_8cpp_source.xhtml#l00599">OnnxParser::CreateNetworkFromString()</a>, <a class="el" href="_network_quantizer_utils_8cpp_source.xhtml#l00015">armnn::CreateQuantizedConst()</a>, <a class="el" href="_concat_layer_8cpp_source.xhtml#l00023">ConcatLayer::CreateWorkload()</a>, <a class="el" href="_splitter_layer_8cpp_source.xhtml#l00021">SplitterLayer::CreateWorkload()</a>, <a class="el" href="_debug_8cpp_source.xhtml#l00020">armnn::Debug()</a>, <a class="el" href="_depth_to_space_8cpp_source.xhtml#l00018">armnn::DepthToSpace()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01599">DepthwiseConvolution2dAsymmetricTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01736">DepthwiseConvolution2dDepthMul1TestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01889">DepthwiseConvolution2dTestImpl()</a>, <a class="el" href="backends_2reference_2workloads_2_detection_post_process_8cpp_source.xhtml#l00141">armnn::DetectionPostProcess()</a>, <a class="el" href="_ref_lstm_workload_8cpp_source.xhtml#l00041">RefLstmWorkload::Execute()</a>, <a class="el" href="_ref_q_lstm_workload_8cpp_source.xhtml#l00046">RefQLstmWorkload::Execute()</a>, <a class="el" href="_ref_comparison_workload_8cpp_source.xhtml#l00039">RefComparisonWorkload::Execute()</a>, <a class="el" href="_ref_elementwise_unary_workload_8cpp_source.xhtml#l00041">RefElementwiseUnaryWorkload::Execute()</a>, <a class="el" href="_ref_elementwise_workload_8cpp_source.xhtml#l00041">RefElementwiseWorkload< Functor, ParentDescriptor, DebugString >::Execute()</a>, <a class="el" href="_convert_constants_8hpp_source.xhtml#l00026">BFloat16ToFloat32::Func()</a>, <a class="el" href="_convert_constants_8hpp_source.xhtml#l00047">Float16ToFloat32::Func()</a>, <a class="el" href="_convert_constants_8hpp_source.xhtml#l00068">Float32ToBFloat16::Func()</a>, <a class="el" href="_convert_constants_8hpp_source.xhtml#l00089">Float32ToFloat16::Func()</a>, <a class="el" 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href="_caffe_parser_8cpp_source.xhtml#l00884">CaffeParserBase::ParsePoolingLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01405">CaffeParserBase::ParseScaleLayer()</a>, <a class="el" href="_permute_8cpp_source.xhtml#l00115">armnnUtils::Permuted()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00172">PermuteInputsForConcat()</a>, <a class="el" href="_workload_utils_8cpp_source.xhtml#l00015">armnn::PermuteTensor()</a>, <a class="el" href="_data_layout_utils_8hpp_source.xhtml#l00014">PermuteTensorNchwToNhwc()</a>, <a class="el" href="_data_layout_utils_8hpp_source.xhtml#l00026">PermuteTensorNhwcToNchw()</a>, <a class="el" href="_pooling2d_8cpp_source.xhtml#l00143">armnn::Pooling2d()</a>, <a class="el" href="_ref_depthwise_convolution2d_workload_8cpp_source.xhtml#l00035">RefDepthwiseConvolution2dWorkload::PostAllocationConfigure()</a>, <a class="el" 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href="_workload_data_8cpp_source.xhtml#l01268">DepthwiseConvolution2dQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l02600">DetectionPostProcessQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l01399">ResizeBilinearQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l01448">ResizeQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l01661">SpaceToBatchNdQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l01728">SpaceToDepthQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l02846">TransposeQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l03359">SliceQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l03414">DepthToSpaceQueueDescriptor::Validate()</a>, <a class="el" href="_elementwise_base_layer_8cpp_source.xhtml#l00050">ElementwiseBaseLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_rank_layer_8cpp_source.xhtml#l00032">RankLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_quantize_layer_8cpp_source.xhtml#l00032">QuantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_activation_layer_8cpp_source.xhtml#l00031">ActivationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp32_to_fp16_layer_8cpp_source.xhtml#l00032">ConvertFp32ToFp16Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fill_layer_8cpp_source.xhtml#l00032">FillLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_abs_layer_8cpp_source.xhtml#l00033">AbsLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_copy_layer_8cpp_source.xhtml#l00036">MemCopyLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_instance_normalization_layer_8cpp_source.xhtml#l00032">InstanceNormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_floor_layer_8cpp_source.xhtml#l00032">FloorLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_import_layer_8cpp_source.xhtml#l00036">MemImportLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_slice_layer_8cpp_source.xhtml#l00036">SliceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_l2_normalization_layer_8cpp_source.xhtml#l00032">L2NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_normalization_layer_8cpp_source.xhtml#l00032">NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.xhtml#l00103">Pooling2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_debug_layer_8cpp_source.xhtml#l00037">DebugLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_bf16_to_fp32_layer_8cpp_source.xhtml#l00033">ConvertBf16ToFp32Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_rsqrt_layer_8cpp_source.xhtml#l00033">RsqrtLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_merge_layer_8cpp_source.xhtml#l00030">MergeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_softmax_layer_8cpp_source.xhtml#l00032">SoftmaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_switch_layer_8cpp_source.xhtml#l00030">SwitchLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp16_to_fp32_layer_8cpp_source.xhtml#l00033">ConvertFp16ToFp32Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_dequantize_layer_8cpp_source.xhtml#l00032">DequantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp32_to_bf16_layer_8cpp_source.xhtml#l00033">ConvertFp32ToBf16Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_stack_layer_8cpp_source.xhtml#l00061">StackLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fake_quantization_layer_8cpp_source.xhtml#l00032">FakeQuantizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_resize_layer_8cpp_source.xhtml#l00061">ResizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_batch_to_space_nd_layer_8cpp_source.xhtml#l00044">BatchToSpaceNdLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_transpose_layer_8cpp_source.xhtml#l00043">TransposeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_pad_layer_8cpp_source.xhtml#l00059">PadLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_gather_layer_8cpp_source.xhtml#l00032">GatherLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mean_layer_8cpp_source.xhtml#l00041">MeanLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_log_softmax_layer_8cpp_source.xhtml#l00032">LogSoftmaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_reshape_layer_8cpp_source.xhtml#l00039">ReshapeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_constant_layer_8cpp_source.xhtml#l00043">ConstantLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_permute_layer_8cpp_source.xhtml#l00043">PermuteLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_detection_post_process_layer_8cpp_source.xhtml#l00037">DetectionPostProcessLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.xhtml#l00072">ArgMinMaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_strided_slice_layer_8cpp_source.xhtml#l00097">StridedSliceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_elementwise_unary_layer_8cpp_source.xhtml#l00043">ElementwiseUnaryLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.xhtml#l00060">DepthToSpaceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_space_to_depth_layer_8cpp_source.xhtml#l00062">SpaceToDepthLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.xhtml#l00104">TransposeConvolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00122">DepthwiseConvolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fully_connected_layer_8cpp_source.xhtml#l00064">FullyConnectedLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_space_to_batch_nd_layer_8cpp_source.xhtml#l00069">SpaceToBatchNdLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_comparison_layer_8cpp_source.xhtml#l00058">ComparisonLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00097">PreluLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.xhtml#l00115">Convolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_concat_layer_8cpp_source.xhtml#l00285">ConcatLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_splitter_layer_8cpp_source.xhtml#l00214">SplitterLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_batch_normalization_layer_8cpp_source.xhtml#l00051">BatchNormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.xhtml#l00094">QuantizedLstmLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00166">LstmLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.xhtml#l00168">QLstmLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_types_utils_8hpp_source.xhtml#l00296">armnn::VerifyTensorInfoDataType()</a>, and <a class="el" href="_serializer_8cpp_source.xhtml#l01497">SerializerVisitor::VisitQuantizedLstmLayer()</a>.</p> +<div class="fragment"><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> { <span class="keywordflow">return</span> m_Shape; }</div></div><!-- fragment --> +</div> +</div> +<a id="a350bcc7d86f7d9333340a0a04be078f6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a350bcc7d86f7d9333340a0a04be078f6">◆ </a></span>GetShape() <span class="overload">[2/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& GetShape </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8hpp_source.xhtml#l00188">188</a> of file <a class="el" href="_tensor_8hpp_source.xhtml">Tensor.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> { <span class="keywordflow">return</span> m_Shape; }</div></div><!-- fragment --> +</div> +</div> +<a id="af672d1c9e2a120a18926cb645981fbb7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af672d1c9e2a120a18926cb645981fbb7">◆ </a></span>HasMultipleQuantizationScales()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool HasMultipleQuantizationScales </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8hpp_source.xhtml#l00197">197</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#l00161">TensorShape::operator==()</a>, <a class="el" href="_neon_end_to_end_tests_8cpp.xhtml#aec48a5a5ab6ecf86c8db0f6d0859fe2f">SetQuantizationOffset()</a>, and <a class="el" href="_neon_end_to_end_tests_8cpp.xhtml#a522a440dc1e26bed45fd3f68be8484e9">SetQuantizationScale()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_workload_data_8cpp_source.xhtml#l00025">armnn::GetBiasDataType()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00453">TensorInfo::GetQuantizationScale()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00438">TensorInfo::HasPerAxisQuantization()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00424">TensorInfo::IsTypeSpaceMatch()</a>.</p> +<div class="fragment"><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> { <span class="keywordflow">return</span> m_Quantization.m_Scales.size() > 1; }</div></div><!-- fragment --> +</div> +</div> +<a id="ab85cd8cc10c96a7c99c14042c251fc48"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab85cd8cc10c96a7c99c14042c251fc48">◆ </a></span>HasPerAxisQuantization()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool HasPerAxisQuantization </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00438">438</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_8hpp_source.xhtml#l00197">TensorInfo::HasMultipleQuantizationScales()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_workload_data_8cpp_source.xhtml#l00025">armnn::GetBiasDataType()</a>, <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00152">armnnUtils::GetPerAxisParams()</a>, <a class="el" href="_decoders_8hpp_source.xhtml#l00070">armnn::MakeDecoder()</a>, <a class="el" href="_encoders_8hpp_source.xhtml#l00021">armnn::MakeEncoder()</a>, <a class="el" href="_permute_8cpp_source.xhtml#l00115">armnnUtils::Permuted()</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00113">TypeNotPerAxisQuantized::TypeNotPerAxisQuantized()</a>, and <a class="el" href="_serializer_8cpp_source.xhtml#l01497">SerializerVisitor::VisitQuantizedLstmLayer()</a>.</p> +<div class="fragment"><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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml#af672d1c9e2a120a18926cb645981fbb7">HasMultipleQuantizationScales</a>() || m_Quantization.m_QuantizationDim.has_value();</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_af672d1c9e2a120a18926cb645981fbb7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#af672d1c9e2a120a18926cb645981fbb7">armnn::TensorInfo::HasMultipleQuantizationScales</a></div><div class="ttdeci">bool HasMultipleQuantizationScales() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00197">Tensor.hpp:197</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a7c00efeb540198b33b8558c76e5cc2dd"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7c00efeb540198b33b8558c76e5cc2dd">◆ </a></span>IsQuantized()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsQuantized </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00496">496</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_types_utils_8hpp_source.xhtml#l00236">armnn::IsQuantizedType()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_workload_data_8cpp_source.xhtml#l00025">armnn::GetBiasDataType()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00424">TensorInfo::IsTypeSpaceMatch()</a>, and <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00113">TypeNotPerAxisQuantized::TypeNotPerAxisQuantized()</a>.</p> +<div class="fragment"><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> {</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ad44c007f21af2d0375e3ef9400a1b275">IsQuantizedType</a>(m_DataType);</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad44c007f21af2d0375e3ef9400a1b275"><div class="ttname"><a href="namespacearmnn.xhtml#ad44c007f21af2d0375e3ef9400a1b275">armnn::IsQuantizedType</a></div><div class="ttdeci">constexpr bool IsQuantizedType()</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.xhtml#l00236">TypesUtils.hpp:236</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a22f377fc4e10dc1773a3f979061e85f1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a22f377fc4e10dc1773a3f979061e85f1">◆ </a></span>IsTypeSpaceMatch()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsTypeSpaceMatch </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>other</em></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Check that the types are the same and, if quantize, that the quantization parameters are the same. </p> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00424">424</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#l00470">TensorInfo::GetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00453">TensorInfo::GetQuantizationScale()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00197">TensorInfo::HasMultipleQuantizationScales()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00496">TensorInfo::IsQuantized()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_concat_layer_8cpp_source.xhtml#l00023">ConcatLayer::CreateWorkload()</a>, <a class="el" href="_splitter_layer_8cpp_source.xhtml#l00021">SplitterLayer::CreateWorkload()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l00025">armnn::GetBiasDataType()</a>, <a class="el" href="_cl_layer_support_8cpp_source.xhtml#l00249">ClLayerSupport::IsConcatSupported()</a>, <a class="el" href="_neon_layer_support_8cpp_source.xhtml#l00220">NeonLayerSupport::IsConcatSupported()</a>, <a class="el" href="_cl_layer_support_8cpp_source.xhtml#l00819">ClLayerSupport::IsSplitterSupported()</a>, and <a class="el" href="_neon_layer_support_8cpp_source.xhtml#l00820">NeonLayerSupport::IsSplitterSupported()</a>.</p> +<div class="fragment"><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="keywordtype">bool</span> match = <span class="keyword">true</span>;</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>  match &= m_DataType == other.m_DataType;</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span> </div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a7c00efeb540198b33b8558c76e5cc2dd">IsQuantized</a>() && !<a class="code" href="classarmnn_1_1_tensor_info.xhtml#af672d1c9e2a120a18926cb645981fbb7">HasMultipleQuantizationScales</a>())</div><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>  match &= <a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() == other.GetQuantizationScale() &&</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() == other.GetQuantizationOffset();</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  }</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keywordflow">return</span> match;</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_af672d1c9e2a120a18926cb645981fbb7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#af672d1c9e2a120a18926cb645981fbb7">armnn::TensorInfo::HasMultipleQuantizationScales</a></div><div class="ttdeci">bool HasMultipleQuantizationScales() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00197">Tensor.hpp:197</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">armnn::TensorInfo::GetQuantizationOffset</a></div><div class="ttdeci">int32_t GetQuantizationOffset() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00470">Tensor.cpp:470</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a047ca888c43bd7fb5702853bf72410d0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">armnn::TensorInfo::GetQuantizationScale</a></div><div class="ttdeci">float GetQuantizationScale() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00453">Tensor.cpp:453</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a7c00efeb540198b33b8558c76e5cc2dd"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a7c00efeb540198b33b8558c76e5cc2dd">armnn::TensorInfo::IsQuantized</a></div><div class="ttdeci">bool IsQuantized() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00496">Tensor.cpp:496</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a2a944e616dc6fdde5287b17f2265307d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a2a944e616dc6fdde5287b17f2265307d">◆ </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_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>other</em></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00414">414</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> +<div class="fragment"><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>  <span class="keywordflow">return</span> !(*<span class="keyword">this</span> == other);</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ac45c8c0052476cd66ef732de76dd9bc8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac45c8c0052476cd66ef732de76dd9bc8">◆ </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_info.xhtml">TensorInfo</a> & operator= </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>other</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00399">399</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> +<div class="fragment"><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>  m_Shape = other.m_Shape;</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  m_DataType = other.m_DataType;</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  m_Quantization = other.m_Quantization;</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a586e1eec08e847abfeb3de3a4038c5ce"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a586e1eec08e847abfeb3de3a4038c5ce">◆ </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_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>other</em></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00407">407</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> +<div class="fragment"><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>  <span class="keywordflow">return</span> ((m_Shape == other.m_Shape) &&</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  (m_DataType == other.m_DataType) &&</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  (m_Quantization == other.m_Quantization));</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a71975fcec1464d639f1a78f73164d1bd"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a71975fcec1464d639f1a78f73164d1bd">◆ </a></span>SetDataType()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void SetDataType </td> + <td>(</td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> + <td class="paramname"><em>type</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="_tensor_8hpp_source.xhtml#l00195">195</a> of file <a class="el" href="_tensor_8hpp_source.xhtml">Tensor.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_tensor_test_8cpp_source.xhtml#l00125">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_data_type_utils_8hpp_source.xhtml#l00017">ConvertToDataType()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00051">armnn::InsertConvertBf16ToFp32LayersBefore()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00129">armnn::InsertConvertFp16ToFp32LayersBefore()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00168">armnn::InsertConvertFp32ToBf16LayersAfter()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00090">armnn::InsertConvertFp32ToBf16LayersBefore()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00201">armnn::InsertConvertFp32ToFp16LayersAfter()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l01467">armnnTfParser::OutputShapeOfExpandDims()</a>, and <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.xhtml#l00018">ConvertFp32NetworkToFp16Impl::Run()</a>.</p> +<div class="fragment"><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> { m_DataType = type; }</div></div><!-- fragment --> +</div> +</div> +<a id="a519efe8ff6dc3aacdfe8a999415e3e4e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a519efe8ff6dc3aacdfe8a999415e3e4e">◆ </a></span>SetQuantizationDim()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void SetQuantizationDim </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< unsigned int > & </td> + <td class="paramname"><em>quantizationDim</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00491">491</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_permute_8cpp_source.xhtml#l00115">armnnUtils::Permuted()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00370">TensorInfo::TensorInfo()</a>.</p> +<div class="fragment"><div class="line"><a name="l00492"></a><span class="lineno"> 492</span> {</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  m_Quantization.m_QuantizationDim = quantizationDim;</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a63cbc581012c957f9d68d224ddc3e43c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a63cbc581012c957f9d68d224ddc3e43c">◆ </a></span>SetQuantizationOffset()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void SetQuantizationOffset </td> + <td>(</td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>offset</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00481">481</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00247">AdditionBroadcast1ElementTestImpl()</a>, <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00162">AdditionBroadcastTestImpl()</a>, <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00155">ArgMaxChannelTest()</a>, <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00190">ArgMaxHeightTest()</a>, <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00066">ArgMaxSimpleTest()</a>, <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00120">ArgMinChannelTest()</a>, <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00093">ArgMinSimpleTest()</a>, <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00225">ArgMinWidthTest()</a>, <a class="el" href="_tensor_test_8cpp_source.xhtml#l00125">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00115">armnn::CheckScaleSetOnQuantizedType()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01151">CompareActivationTestImpl()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00311">ConstantLinearActivationTestCommon()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00996">Convolution2d3x3DilationTestCommon()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l02506">DepthwiseConvolution2d3x3DilationTestCommon()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01599">DepthwiseConvolution2dAsymmetricTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01736">DepthwiseConvolution2dDepthMul1TestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01889">DepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_detection_post_process_test_impl_8hpp_source.xhtml#l00328">DetectionPostProcessFastNmsQuantizedTest()</a>, <a class="el" href="_detection_post_process_test_impl_8hpp_source.xhtml#l00264">DetectionPostProcessRegularNmsQuantizedTest()</a>, <a class="el" href="_fully_connected_test_impl_8cpp_source.xhtml#l00150">FullyConnectedLargeTestCommon()</a>, <a class="el" href="_json_printer_test_impl_8cpp_source.xhtml#l00119">GetSoftmaxProfilerJson()</a>, <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00109">PermuteValueSet1Test()</a>, <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00159">PermuteValueSet2Test()</a>, <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00209">PermuteValueSet3Test()</a>, <a class="el" href="_neon_end_to_end_tests_8cpp_source.xhtml#l00600">QuantizeData()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00201">SimpleConvolution2dTestImpl()</a>, <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00060">SimplePermuteTest()</a>, <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00059">SimpleTransposeTest()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00347">TensorInfo::TensorInfo()</a>, <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00108">TransposeValueSet1Test()</a>, <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00158">TransposeValueSet2Test()</a>, and <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00208">TransposeValueSet3Test()</a>.</p> +<div class="fragment"><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>  m_Quantization.m_Offset = MakeOptional<int32_t>(offset);</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a685739c4eb65a580e075282cfe6787d6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a685739c4eb65a580e075282cfe6787d6">◆ </a></span>SetQuantizationScale()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void SetQuantizationScale </td> + <td>(</td> + <td class="paramtype">float </td> + <td class="paramname"><em>scale</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00465">465</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00247">AdditionBroadcast1ElementTestImpl()</a>, <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00162">AdditionBroadcastTestImpl()</a>, <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00155">ArgMaxChannelTest()</a>, <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00190">ArgMaxHeightTest()</a>, <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00066">ArgMaxSimpleTest()</a>, <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00120">ArgMinChannelTest()</a>, <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00093">ArgMinSimpleTest()</a>, <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00225">ArgMinWidthTest()</a>, <a class="el" href="_tensor_test_8cpp_source.xhtml#l00125">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00023">BoundedReLuTestCommon()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00115">armnn::CheckScaleSetOnQuantizedType()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01151">CompareActivationTestImpl()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02640">ConcatUint16Test()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02502">ConcatUint8Test()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00311">ConstantLinearActivationTestCommon()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00461">Convolution1dTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00996">Convolution2d3x3DilationTestCommon()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l02506">DepthwiseConvolution2d3x3DilationTestCommon()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01599">DepthwiseConvolution2dAsymmetricTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01736">DepthwiseConvolution2dDepthMul1TestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01889">DepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_detection_post_process_test_impl_8hpp_source.xhtml#l00328">DetectionPostProcessFastNmsQuantizedTest()</a>, <a class="el" href="_detection_post_process_test_impl_8hpp_source.xhtml#l00264">DetectionPostProcessRegularNmsQuantizedTest()</a>, <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml#l00041">ElementwiseTestHelper()</a>, <a class="el" href="_elementwise_unary_test_impl_8hpp_source.xhtml#l00035">ElementwiseUnaryTestHelper()</a>, <a class="el" href="_fully_connected_test_impl_8cpp_source.xhtml#l00150">FullyConnectedLargeTestCommon()</a>, <a class="el" href="_fully_connected_test_impl_8cpp_source.xhtml#l00073">FullyConnectedTest()</a>, <a class="el" href="_json_printer_test_impl_8cpp_source.xhtml#l00119">GetSoftmaxProfilerJson()</a>, <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00109">PermuteValueSet1Test()</a>, <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00159">PermuteValueSet2Test()</a>, <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00209">PermuteValueSet3Test()</a>, <a class="el" href="_prelu_test_impl_8hpp_source.xhtml#l00024">PreluTest()</a>, <a class="el" href="_neon_end_to_end_tests_8cpp_source.xhtml#l00600">QuantizeData()</a>, <a class="el" href="_reshape_test_impl_8cpp_source.xhtml#l00111">Reshape5dTest()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l02908">armnn::SetupQuantize()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00397">SimpleActivationTest()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00201">SimpleConvolution2dTestImpl()</a>, <a class="el" href="_floor_test_impl_8cpp_source.xhtml#l00015">SimpleFloorTest()</a>, <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00060">SimplePermuteTest()</a>, <a class="el" href="_reshape_test_impl_8cpp_source.xhtml#l00059">SimpleReshapeTest()</a>, <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00059">SimpleTransposeTest()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00347">TensorInfo::TensorInfo()</a>, <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00108">TransposeValueSet1Test()</a>, <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00158">TransposeValueSet2Test()</a>, and <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00208">TransposeValueSet3Test()</a>.</p> +<div class="fragment"><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>  m_Quantization.m_Scales = { scale };</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a1a8675f9d64c3fb59e6af15362bb6332"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1a8675f9d64c3fb59e6af15362bb6332">◆ </a></span>SetQuantizationScales()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void SetQuantizationScales </td> + <td>(</td> + <td class="paramtype">const std::vector< float > & </td> + <td class="paramname"><em>scales</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00448">448</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#l00152">BOOST_AUTO_TEST_CASE()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00370">TensorInfo::TensorInfo()</a>.</p> +<div class="fragment"><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>  m_Quantization.m_Scales = scales;</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="abe8889e8150beef5fd204b2d87b49298"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abe8889e8150beef5fd204b2d87b49298">◆ </a></span>SetShape()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void SetShape </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> & </td> + <td class="paramname"><em>newShape</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="_tensor_8hpp_source.xhtml#l00189">189</a> of file <a class="el" href="_tensor_8hpp_source.xhtml">Tensor.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_tensor_test_8cpp_source.xhtml#l00125">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02139">armnnTfParser::CalculatePaddedOutputTensorInfo()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00683">TfLiteParser::CreateNetworkFromBinary()</a>, <a class="el" href="_onnx_parser_8cpp_source.xhtml#l00599">OnnxParser::CreateNetworkFromString()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l01467">armnnTfParser::OutputShapeOfExpandDims()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l01994">Deserializer::OutputShapeOfReshape()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02151">TfLiteParser::OutputShapeOfReshape()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01625">TfLiteParser::OutputShapeOfSqueeze()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02464">armnnTfParser::OutputShapeOfSqueeze()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00365">CaffeParserBase::ParseInputLayer()</a>, <a class="el" href="_permute_8cpp_source.xhtml#l00115">armnnUtils::Permuted()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00172">PermuteInputsForConcat()</a>, <a class="el" href="_workload_utils_8cpp_source.xhtml#l00038">armnn::ReshapeWeightsForAcl()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00555">TfLiteParser::TfLiteParser()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00514">TfParser::TfParser()</a>, and <a class="el" href="armnn_utils_2_transpose_8cpp_source.xhtml#l00113">armnnUtils::TransposeTensorShape()</a>.</p> +<div class="fragment"><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> { m_Shape = newShape; }</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_info.xhtml">TensorInfo</a></li> + <li class="footer">Generated on Tue Aug 25 2020 12:29:51 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> |