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diff --git a/21.02/_tensor_test_8cpp_source.xhtml b/21.02/_tensor_test_8cpp_source.xhtml new file mode 100644 index 0000000000..7beb077850 --- /dev/null +++ b/21.02/_tensor_test_8cpp_source.xhtml @@ -0,0 +1,159 @@ +<!-- 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: src/armnn/test/TensorTest.cpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">21.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('_tensor_test_8cpp_source.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="headertitle"> +<div class="title">TensorTest.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_tensor_test_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#include <boost/test/unit_test.hpp></span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include <<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>></span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_ignore_unused_8hpp.xhtml">armnn/utility/IgnoreUnused.hpp</a>></span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> {</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment">// Adds unit test framework for interpreting TensorInfo type.</span></div><div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#abe311824d11bad4e6f93c8f94a721052"> 14</a></span> std::ostream& <a class="code" href="namespacearmnn.xhtml#abe311824d11bad4e6f93c8f94a721052">boost_test_print_type</a>(std::ostream& ostr, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& right)</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  ostr << <span class="stringliteral">"TensorInfo[ "</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  << right.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() << <span class="stringliteral">","</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  << right.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] << <span class="stringliteral">","</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  << right.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1] << <span class="stringliteral">","</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  << right.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2] << <span class="stringliteral">","</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  << right.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[3]</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  << <span class="stringliteral">" ]"</span> << std::endl;</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keywordflow">return</span> ostr;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> }</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#af676ec7e9534bd6e6ac3072a2c0403f4"> 26</a></span> std::ostream& <a class="code" href="namespacearmnn.xhtml#abe311824d11bad4e6f93c8f94a721052">boost_test_print_type</a>(std::ostream& ostr, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& shape)</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> {</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  ostr << <span class="stringliteral">"TensorShape[ "</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  << shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() << <span class="stringliteral">","</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  << shape[0] << <span class="stringliteral">","</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  << shape[1] << <span class="stringliteral">","</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  << shape[2] << <span class="stringliteral">","</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  << shape[3]</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  << <span class="stringliteral">" ]"</span> << std::endl;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordflow">return</span> ostr;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> }</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> } <span class="comment">//namespace armnn</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a>;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <a class="code" href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(<a class="code" href="classarmnn_1_1_tensor.xhtml">Tensor</a>)</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">struct </span>TensorInfoFixture</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  TensorInfoFixture()</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> sizes[] = {6,7,8,9};</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  m_TensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>(4, sizes, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  }</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  ~TensorInfoFixture() {};</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> m_TensorInfo;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> };</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#ab7e46ed88187c63506b21f45abbabb13"> 55</a></span> <a class="code" href="_tensor_test_8cpp.xhtml#ab7e46ed88187c63506b21f45abbabb13">BOOST_FIXTURE_TEST_CASE</a>(ConstructShapeUsingListInitialization, TensorInfoFixture)</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> listInitializedShape{ 6, 7, 8, 9 };</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  BOOST_TEST(listInitializedShape == m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> }</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#a37f7ffb280c544fe70e212e24fc5c2a7"> 61</a></span> <a class="code" href="_tensor_test_8cpp.xhtml#ab7e46ed88187c63506b21f45abbabb13">BOOST_FIXTURE_TEST_CASE</a>(ConstructTensorInfo, TensorInfoFixture)</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  BOOST_TEST(m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  BOOST_TEST(m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] == 6); <span class="comment">// <= Outer most</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  BOOST_TEST(m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1] == 7);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  BOOST_TEST(m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2] == 8);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  BOOST_TEST(m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[3] == 9); <span class="comment">// <= Inner most</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> }</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#a3370241e4a543440e79a3d1842fe6f9f"> 70</a></span> <a class="code" href="_tensor_test_8cpp.xhtml#ab7e46ed88187c63506b21f45abbabb13">BOOST_FIXTURE_TEST_CASE</a>(CopyConstructTensorInfo, TensorInfoFixture)</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> copyConstructed(m_TensorInfo);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  BOOST_TEST(copyConstructed.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  BOOST_TEST(copyConstructed.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] == 6);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  BOOST_TEST(copyConstructed.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1] == 7);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  BOOST_TEST(copyConstructed.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2] == 8);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  BOOST_TEST(copyConstructed.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[3] == 9);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> }</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#a8ff9749fd66d314c3c2bbef1eca00f09"> 80</a></span> <a class="code" href="_tensor_test_8cpp.xhtml#ab7e46ed88187c63506b21f45abbabb13">BOOST_FIXTURE_TEST_CASE</a>(TensorInfoEquality, TensorInfoFixture)</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> copyConstructed(m_TensorInfo);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  BOOST_TEST(copyConstructed == m_TensorInfo);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> }</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#aa2d0d8c3d827fec2b96ff3ae2389550e"> 86</a></span> <a class="code" href="_tensor_test_8cpp.xhtml#ab7e46ed88187c63506b21f45abbabb13">BOOST_FIXTURE_TEST_CASE</a>(TensorInfoInequality, TensorInfoFixture)</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> other;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> sizes[] = {2,3,4,5};</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  other = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>(4, sizes, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  BOOST_TEST(other != m_TensorInfo);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> }</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#a0c4119e76379387b984dbbbf998f2925"> 95</a></span> <a class="code" href="_tensor_test_8cpp.xhtml#ab7e46ed88187c63506b21f45abbabb13">BOOST_FIXTURE_TEST_CASE</a>(TensorInfoAssignmentOperator, TensorInfoFixture)</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> {</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> copy;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  copy = m_TensorInfo;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  BOOST_TEST(copy == m_TensorInfo);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> }</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#aa5af4372af8c798c442f8f5567ed782b"> 102</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(CopyNoQuantizationTensorInfo)</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> infoA;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ 5, 6, 7, 8 });</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> infoB;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ 5, 6, 7, 8 });</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(10.0f);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(5);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a519efe8ff6dc3aacdfe8a999415e3e4e">SetQuantizationDim</a>(<a class="code" href="classarmnn_1_1_optional.xhtml">Optional<unsigned int></a>(1));</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  BOOST_TEST((infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>({ 5, 6, 7, 8 })));</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  BOOST_TEST((infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>));</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  BOOST_TEST(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() == 1);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  BOOST_TEST(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() == 0);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  BOOST_CHECK(!infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b8fc85ce966c035d789cf22db5088a1">GetQuantizationDim</a>().<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>());</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  BOOST_TEST(infoA != infoB);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  infoA = infoB;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  BOOST_TEST(infoA == infoB);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  BOOST_TEST((infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>({ 5, 6, 7, 8 })));</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  BOOST_TEST((infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>));</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  BOOST_TEST(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() == 10.0f);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  BOOST_TEST(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() == 5);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  BOOST_CHECK(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b8fc85ce966c035d789cf22db5088a1">GetQuantizationDim</a>().<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() == 1);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> }</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#aeabdb03c1ec8401f55985e8075df506c"> 132</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(CopyDifferentQuantizationTensorInfo)</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> {</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> infoA;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ 5, 6, 7, 8 });</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(10.0f);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(5);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a519efe8ff6dc3aacdfe8a999415e3e4e">SetQuantizationDim</a>(<a class="code" href="classarmnn_1_1_optional.xhtml">Optional<unsigned int></a>(1));</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> infoB;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ 5, 6, 7, 8 });</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(11.0f);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(6);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  infoB.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a519efe8ff6dc3aacdfe8a999415e3e4e">SetQuantizationDim</a>(<a class="code" href="classarmnn_1_1_optional.xhtml">Optional<unsigned int></a>(2));</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  BOOST_TEST((infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>({ 5, 6, 7, 8 })));</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  BOOST_TEST((infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>));</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  BOOST_TEST(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() == 10.0f);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  BOOST_TEST(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() == 5);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  BOOST_CHECK(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b8fc85ce966c035d789cf22db5088a1">GetQuantizationDim</a>().<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() == 1);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  BOOST_TEST(infoA != infoB);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  infoA = infoB;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  BOOST_TEST(infoA == infoB);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  BOOST_TEST((infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>({ 5, 6, 7, 8 })));</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  BOOST_TEST((infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>));</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  BOOST_TEST(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() == 11.0f);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  BOOST_TEST(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() == 6);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  BOOST_CHECK(infoA.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b8fc85ce966c035d789cf22db5088a1">GetQuantizationDim</a>().<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() == 2);</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> }</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div><div class="line"><a name="l00165"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#ad80e179ec400af9d2547f172f3ca05f3"> 165</a></span> <span class="keywordtype">void</span> <a class="code" href="_tensor_test_8cpp.xhtml#ad80e179ec400af9d2547f172f3ca05f3">CheckTensor</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& t)</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> {</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  t.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>();</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> }</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#aa08fb9adf6eaf05fd4a3698880c1c292"> 170</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(TensorVsConstTensor)</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> {</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordtype">int</span> mutableDatum = 2;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> immutableDatum = 3;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> uninitializedTensor;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> uninitializedTensor2;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  uninitializedTensor2 = uninitializedTensor;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> t(<a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>(), &mutableDatum);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> ct(<a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>(), &immutableDatum);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="comment">// Checks that both Tensor and ConstTensor can be passed as a ConstTensor.</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="_tensor_test_8cpp.xhtml#ad80e179ec400af9d2547f172f3ca05f3">CheckTensor</a>(t);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <a class="code" href="_tensor_test_8cpp.xhtml#ad80e179ec400af9d2547f172f3ca05f3">CheckTensor</a>(ct);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> }</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div><div class="line"><a name="l00188"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#a67f451b173e1cea17e907085cb967184"> 188</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(ModifyTensorInfo)</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> {</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ 5, 6, 7, 8 });</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  BOOST_TEST((info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>({ 5, 6, 7, 8 })));</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  BOOST_TEST((info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>));</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(10.0f);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  BOOST_TEST(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() == 10.0f);</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(5);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  BOOST_TEST(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() == 5);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> }</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div><div class="line"><a name="l00201"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#a60cf24873ff60e391417efc873e9c55e"> 201</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(TensorShapeOperatorBrackets)</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> {</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> constShape({0,1,2,3});</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> shape({0,1,2,3});</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="comment">// Checks version of operator[] which returns an unsigned int.</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  BOOST_TEST(shape[2] == 2);</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  shape[2] = 20;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  BOOST_TEST(shape[2] == 20);</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="comment">// Checks the version of operator[] which returns a reference.</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  BOOST_TEST(constShape[2] == 2);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> }</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div><div class="line"><a name="l00215"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#ad842127d839c39ea39e3c0f3ac219728"> 215</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(TensorInfoPerAxisQuantization)</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> {</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="comment">// Old constructor</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> tensorInfo0({ 1, 1 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>, 2.0f, 1);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  BOOST_CHECK(!tensorInfo0.HasMultipleQuantizationScales());</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  BOOST_CHECK(tensorInfo0.GetQuantizationScale() == 2.0f);</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  BOOST_CHECK(tensorInfo0.GetQuantizationOffset() == 1);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  BOOST_CHECK(tensorInfo0.GetQuantizationScales()[0] == 2.0f);</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  BOOST_CHECK(!tensorInfo0.GetQuantizationDim().has_value());</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="comment">// Set per-axis quantization scales</span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  std::vector<float> perAxisScales{ 3.0f, 4.0f };</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  tensorInfo0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a1a8675f9d64c3fb59e6af15362bb6332">SetQuantizationScales</a>(perAxisScales);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  BOOST_CHECK(tensorInfo0.HasMultipleQuantizationScales());</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  BOOST_CHECK(tensorInfo0.GetQuantizationScales() == perAxisScales);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="comment">// Set per-tensor quantization scale</span></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  tensorInfo0.SetQuantizationScale(5.0f);</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  BOOST_CHECK(!tensorInfo0.HasMultipleQuantizationScales());</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  BOOST_CHECK(tensorInfo0.GetQuantizationScales()[0] == 5.0f);</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="comment">// Set quantization offset</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  tensorInfo0.SetQuantizationDim(<a class="code" href="classarmnn_1_1_optional.xhtml">Optional<unsigned int></a>(1));</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  BOOST_CHECK(tensorInfo0.GetQuantizationDim().value() == 1);</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="comment">// New constructor</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  perAxisScales = { 6.0f, 7.0f };</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> tensorInfo1({ 1, 1 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>, perAxisScales, 1);</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  BOOST_CHECK(tensorInfo1.HasMultipleQuantizationScales());</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  BOOST_CHECK(tensorInfo1.GetQuantizationOffset() == 0);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  BOOST_CHECK(tensorInfo1.GetQuantizationScales() == perAxisScales);</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  BOOST_CHECK(tensorInfo1.GetQuantizationDim().value() == 1);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> }</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div><div class="line"><a name="l00249"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#a10b8d1e008aac7e5c7149d176588a7ef"> 249</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(TensorShape_scalar)</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> {</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordtype">float</span> mutableDatum = 3.1416f;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape (<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a> );</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> ( shape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a> );</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> tensor ( info, &mutableDatum );</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  BOOST_CHECK(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>());</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordtype">float</span> scalarValue = *<span class="keyword">reinterpret_cast<</span><span class="keywordtype">float</span>*<span class="keyword">></span>(tensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>());</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  BOOST_CHECK_MESSAGE(mutableDatum == scalarValue, <span class="stringliteral">"Scalar value is "</span> << scalarValue);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_equal;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_different;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  shape_equal = shape;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  BOOST_TEST(shape_equal == shape);</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  BOOST_TEST(shape_different != shape);</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  BOOST_CHECK_MESSAGE(1 == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(), <span class="stringliteral">"Number of elements is "</span> << shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  BOOST_CHECK_MESSAGE(1 == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(), <span class="stringliteral">"Number of dimensions is "</span> << shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  BOOST_CHECK(<span class="keyword">true</span> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(0));</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  BOOST_CHECK(shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a>());</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  BOOST_CHECK(shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a34e12ab75d9073354565c2039f92112b">IsAtLeastOneDimensionSpecified</a>());</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  BOOST_TEST(1 == shape[0]);</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  BOOST_TEST(1 == tensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0]);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  BOOST_TEST(1 == tensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0]);</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  BOOST_CHECK_THROW( shape[1], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a> );</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordtype">float</span> newMutableDatum = 42.f;</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  std::memcpy(tensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>(), &newMutableDatum, <span class="keyword">sizeof</span>(float));</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  scalarValue = *<span class="keyword">reinterpret_cast<</span><span class="keywordtype">float</span>*<span class="keyword">></span>(tensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>());</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  BOOST_CHECK_MESSAGE(newMutableDatum == scalarValue, <span class="stringliteral">"Scalar value is "</span> << scalarValue);</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> }</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> </div><div class="line"><a name="l00283"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#aadc6aa359687bce9a29d89ae3f9a4f6e"> 283</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(TensorShape_DynamicTensorType1_unknownNumberDimensions)</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> {</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keywordtype">float</span> mutableDatum = 3.1416f;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape (<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a> );</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> ( shape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a> );</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> tensor ( info, &mutableDatum );</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span> </div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  BOOST_CHECK(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>());</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  BOOST_CHECK_THROW( shape[0], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a> );</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  BOOST_CHECK_THROW( shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(), <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a> );</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  BOOST_CHECK_THROW( shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(), <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a> );</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> </div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_equal;</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_different;</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  shape_equal = shape;</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  BOOST_TEST(shape_equal == shape);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  BOOST_TEST(shape_different != shape);</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> }</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> </div><div class="line"><a name="l00303"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#ade6b73848d2fda6968b35f0664b853fa"> 303</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(TensorShape_DynamicTensorType1_unknownAllDimensionsSizes)</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span> {</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordtype">float</span> mutableDatum = 3.1416f;</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> </div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape ( 3, <span class="keyword">false</span> );</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> ( shape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a> );</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> tensor ( info, &mutableDatum );</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  BOOST_CHECK(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>());</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  BOOST_CHECK_MESSAGE(0 == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(), <span class="stringliteral">"Number of elements is "</span> << shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  BOOST_CHECK_MESSAGE(3 == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(), <span class="stringliteral">"Number of dimensions is "</span> << shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  BOOST_CHECK(<span class="keyword">false</span> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(0));</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  BOOST_CHECK(<span class="keyword">false</span> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(1));</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  BOOST_CHECK(<span class="keyword">false</span> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(2));</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  BOOST_CHECK(!shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a>());</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  BOOST_CHECK(!shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a34e12ab75d9073354565c2039f92112b">IsAtLeastOneDimensionSpecified</a>());</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span> </div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_equal;</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_different;</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  shape_equal = shape;</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  BOOST_TEST(shape_equal == shape);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  BOOST_TEST(shape_different != shape);</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> }</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> </div><div class="line"><a name="l00327"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#aabd918ac2f9b9bbe213b96a090f64fd8"> 327</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(TensorShape_DynamicTensorType1_unknownSomeDimensionsSizes)</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span> {</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  std::vector<float> mutableDatum { 42.f, 42.f, 42.f,</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  0.0f, 0.1f, 0.2f };</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> </div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape ( {2, 0, 3}, {<span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">true</span>} );</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> ( shape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a> );</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> tensor ( info, &mutableDatum );</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> </div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  BOOST_CHECK(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a> == shape.GetDimensionality());</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  BOOST_CHECK_MESSAGE(6 == shape.GetNumElements(), <span class="stringliteral">"Number of elements is "</span> << shape.GetNumElements());</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  BOOST_CHECK_MESSAGE(3 == shape.GetNumDimensions(), <span class="stringliteral">"Number of dimensions is "</span> << shape.GetNumDimensions());</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  BOOST_CHECK(<span class="keyword">true</span> == shape.GetDimensionSpecificity(0));</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  BOOST_CHECK(<span class="keyword">false</span> == shape.GetDimensionSpecificity(1));</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  BOOST_CHECK(<span class="keyword">true</span> == shape.GetDimensionSpecificity(2));</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  BOOST_CHECK(!shape.AreAllDimensionsSpecified());</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  BOOST_CHECK(shape.IsAtLeastOneDimensionSpecified());</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>  BOOST_CHECK_THROW(shape[1], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>);</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  BOOST_CHECK_THROW(tensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  BOOST_CHECK_THROW(tensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span> </div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  BOOST_TEST(2 == shape[0]);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  BOOST_TEST(2 == tensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0]);</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  BOOST_TEST(2 == tensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0]);</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  BOOST_CHECK_THROW( shape[1], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a> );</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>  BOOST_TEST(3 == shape[2]);</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  BOOST_TEST(3 == tensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2]);</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  BOOST_TEST(3 == tensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2]);</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> </div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_equal;</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_different;</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  shape_equal = shape;</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  BOOST_TEST(shape_equal == shape);</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  BOOST_TEST(shape_different != shape);</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> }</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> </div><div class="line"><a name="l00365"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#ab28cb670e30f05b46d9e45c9a450db52"> 365</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(TensorShape_DynamicTensorType1_transitionFromUnknownToKnownDimensionsSizes)</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span> {</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  std::vector<float> mutableDatum { 42.f, 42.f, 42.f,</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  0.0f, 0.1f, 0.2f };</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> </div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape (<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a> );</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> ( shape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a> );</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> tensor ( info, &mutableDatum );</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> </div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="comment">// Specify the number of dimensions</span></div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a82c7d5a6e675b1a876daa9983cd125d2">SetNumDimensions</a>(3);</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  BOOST_CHECK(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>());</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  BOOST_CHECK_MESSAGE(3 == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(), <span class="stringliteral">"Number of dimensions is "</span> << shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  BOOST_CHECK(<span class="keyword">false</span> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(0));</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  BOOST_CHECK(<span class="keyword">false</span> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(1));</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  BOOST_CHECK(<span class="keyword">false</span> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(2));</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  BOOST_CHECK(!shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a>());</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  BOOST_CHECK(!shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a34e12ab75d9073354565c2039f92112b">IsAtLeastOneDimensionSpecified</a>());</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span> </div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="comment">// Specify dimension 0 and 2.</span></div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#ad82b782a8e1a05b6a3756e73c66d5f90">SetDimensionSize</a>(0, 2);</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#ad82b782a8e1a05b6a3756e73c66d5f90">SetDimensionSize</a>(2, 3);</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  BOOST_CHECK_MESSAGE(3 == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(), <span class="stringliteral">"Number of dimensions is "</span> << shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  BOOST_CHECK_MESSAGE(6 == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(), <span class="stringliteral">"Number of elements is "</span> << shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  BOOST_CHECK(<span class="keyword">true</span> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(0));</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  BOOST_CHECK(<span class="keyword">false</span> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(1));</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  BOOST_CHECK(<span class="keyword">true</span> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(2));</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  BOOST_CHECK(!shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a>());</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  BOOST_CHECK(shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a34e12ab75d9073354565c2039f92112b">IsAtLeastOneDimensionSpecified</a>());</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> </div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>(shape);</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> tensor2( info, &mutableDatum );</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  BOOST_TEST(2 == shape[0]);</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  BOOST_TEST(2 == tensor2.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0]);</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  BOOST_TEST(2 == tensor2.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0]);</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> </div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  BOOST_CHECK_THROW(shape[1], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>);</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  BOOST_CHECK_THROW(tensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>);</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  BOOST_CHECK_THROW(tensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>);</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  BOOST_TEST(3 == shape[2]);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  BOOST_TEST(3 == tensor2.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2]);</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  BOOST_TEST(3 == tensor2.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2]);</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span> </div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_equal;</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape_different;</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  shape_equal = shape;</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  BOOST_TEST(shape_equal == shape);</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  BOOST_TEST(shape_different != shape);</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> </div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="comment">// Specify dimension 1.</span></div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#ad82b782a8e1a05b6a3756e73c66d5f90">SetDimensionSize</a>(1, 5);</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  BOOST_CHECK_MESSAGE(3 == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(), <span class="stringliteral">"Number of dimensions is "</span> << shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  BOOST_CHECK_MESSAGE(30 == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(), <span class="stringliteral">"Number of elements is "</span> << shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  BOOST_CHECK(<span class="keyword">true</span> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(0));</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  BOOST_CHECK(<span class="keyword">true</span> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(1));</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  BOOST_CHECK(<span class="keyword">true</span> == shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(2));</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  BOOST_CHECK(shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a>());</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  BOOST_CHECK(shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a34e12ab75d9073354565c2039f92112b">IsAtLeastOneDimensionSpecified</a>());</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> }</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> </div><div class="line"><a name="l00426"></a><span class="lineno"><a class="line" href="_tensor_test_8cpp.xhtml#a3cc2ab0c007d7845ad8d3ecb468e7685"> 426</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(Tensor_emptyConstructors)</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>  <span class="keyword">auto</span> shape = <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>();</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  BOOST_CHECK_MESSAGE( 0 == shape.GetNumDimensions(), <span class="stringliteral">"Number of dimensions is "</span> << shape.GetNumDimensions());</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  BOOST_CHECK_MESSAGE( 0 == shape.GetNumElements(), <span class="stringliteral">"Number of elements is "</span> << shape.GetNumElements());</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  BOOST_CHECK( <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a> == shape.GetDimensionality());</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  BOOST_CHECK( shape.AreAllDimensionsSpecified());</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  BOOST_CHECK_THROW( shape[0], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a> );</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="keyword">auto</span> tensor = <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a>();</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  BOOST_CHECK_MESSAGE( 0 == tensor.GetNumDimensions(), <span class="stringliteral">"Number of dimensions is "</span> << tensor.GetNumDimensions());</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  BOOST_CHECK_MESSAGE( 0 == tensor.GetNumElements(), <span class="stringliteral">"Number of elements is "</span> << tensor.GetNumElements());</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  BOOST_CHECK_MESSAGE( 0 == tensor.GetShape().GetNumDimensions(), <span class="stringliteral">"Number of dimensions is "</span> <<</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  tensor.GetShape().GetNumDimensions());</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  BOOST_CHECK_MESSAGE( 0 == tensor.GetShape().GetNumElements(), <span class="stringliteral">"Number of dimensions is "</span> <<</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  tensor.GetShape().GetNumElements());</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  BOOST_CHECK( <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a> == tensor.GetShape().GetDimensionality());</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  BOOST_CHECK( tensor.GetShape().AreAllDimensionsSpecified());</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  BOOST_CHECK_THROW( tensor.GetShape()[0], <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a> );</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> }</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span> <a class="code" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</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#l00181">Tensor.cpp:181</a></div></div> +<div class="ttc" id="_output_shape_of_squeeze_8cpp_xhtml_ae3a6cb217a792718f2bd0e8f45e3ca9e"><div class="ttname"><a href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)</div></div> +<div class="ttc" id="_ignore_unused_8hpp_xhtml"><div class="ttname"><a href="_ignore_unused_8hpp.xhtml">IgnoreUnused.hpp</a></div></div> +<div class="ttc" id="_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a></div></div> +<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional< unsigned int ></a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_acccb75bd1d68a81f6ddd61687f51c5a1"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#acccb75bd1d68a81f6ddd61687f51c5a1">armnn::TensorShape::AreAllDimensionsSpecified</a></div><div class="ttdeci">bool AreAllDimensionsSpecified() const</div><div class="ttdoc">Checks if there is at least one dimension not specified. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00241">Tensor.cpp:241</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a5a212540c00931bd2a4b4041beda33ae"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a5a212540c00931bd2a4b4041beda33ae">armnn::TensorShape::GetDimensionality</a></div><div class="ttdeci">Dimensionality GetDimensionality() const</div><div class="ttdoc">Function that returns the tensor type. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00092">Tensor.hpp:92</a></div></div> +<div class="ttc" id="_tensor_test_8cpp_xhtml_ab7e46ed88187c63506b21f45abbabb13"><div class="ttname"><a href="_tensor_test_8cpp.xhtml#ab7e46ed88187c63506b21f45abbabb13">BOOST_FIXTURE_TEST_CASE</a></div><div class="ttdeci">BOOST_FIXTURE_TEST_CASE(ConstructShapeUsingListInitialization, TensorInfoFixture)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_test_8cpp_source.xhtml#l00055">TensorTest.cpp:55</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b8fc85ce966c035d789cf22db5088a1"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b8fc85ce966c035d789cf22db5088a1">armnn::TensorInfo::GetQuantizationDim</a></div><div class="ttdeci">Optional< unsigned int > GetQuantizationDim() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00485">Tensor.cpp:485</a></div></div> +<div class="ttc" id="classarmnn_1_1_base_tensor_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_base_tensor.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::BaseTensor::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00284">Tensor.hpp:284</a></div></div> +<div class="ttc" id="classarmnn_1_1_base_tensor_xhtml_aa81f67ac64f0c249e26499600c45d996"><div class="ttname"><a href="classarmnn_1_1_base_tensor.xhtml#aa81f67ac64f0c249e26499600c45d996">armnn::BaseTensor::GetMemoryArea</a></div><div class="ttdeci">MemoryType GetMemoryArea() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00292">Tensor.hpp:292</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.dox:6</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="classarmnn_1_1_optional_reference_switch_xhtml_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch::value</a></div><div class="ttdeci">const T & value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00146">Optional.hpp:146</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a3919600d4aa8d5cd801a0e0740f62308"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">armnn::TensorShape::GetDimensionSpecificity</a></div><div class="ttdeci">bool GetDimensionSpecificity(unsigned int i) const</div><div class="ttdoc">Gets information about if the dimension size has been specified or not. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00211">Tensor.cpp:211</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_abe8889e8150beef5fd204b2d87b49298"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">armnn::TensorInfo::SetShape</a></div><div class="ttdeci">void SetShape(const TensorShape &newShape)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00189">Tensor.hpp:189</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00306">Tensor.hpp:306</a></div></div> +<div class="ttc" id="_tensor_test_8cpp_xhtml_ad80e179ec400af9d2547f172f3ca05f3"><div class="ttname"><a href="_tensor_test_8cpp.xhtml#ad80e179ec400af9d2547f172f3ca05f3">CheckTensor</a></div><div class="ttdeci">void CheckTensor(const ConstTensor &t)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_test_8cpp_source.xhtml#l00165">TensorTest.cpp:165</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#l00469">Tensor.cpp:469</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#l00452">Tensor.cpp:452</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00194">Tensor.hpp:194</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="classarmnn_1_1_optional_base_xhtml_a86b749ce2c4bc627fa8a1fcfaf0e314f"><div class="ttname"><a href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">armnn::OptionalBase::has_value</a></div><div class="ttdeci">bool has_value() const noexcept</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00053">Optional.hpp:53</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00314">Tensor.hpp:314</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a82c7d5a6e675b1a876daa9983cd125d2"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a82c7d5a6e675b1a876daa9983cd125d2">armnn::TensorShape::SetNumDimensions</a></div><div class="ttdeci">void SetNumDimensions(unsigned int numDimensions, bool initDimensionsSpecificity=false)</div><div class="ttdoc">Sets the tensor rank and therefore the Dimensionality is set to Specified if it was not...</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00219">Tensor.cpp:219</a></div></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#l00464">Tensor.cpp:464</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a10d15f3df1ab52b3b915a4be1dbf386b"><div class="ttname"><a href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">armnn::BOOST_AUTO_TEST_CASE</a></div><div class="ttdeci">BOOST_AUTO_TEST_CASE(CheckConvolution2dLayer)</div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8cpp_source.xhtml#l00268">ConstTensorLayerVisitor.cpp:268</a></div></div> +<div class="ttc" id="classarmnn_1_1_base_tensor_xhtml_a8aeddebdcf02e1832b22203c08a6b678"><div class="ttname"><a href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">armnn::BaseTensor::GetInfo</a></div><div class="ttdeci">const TensorInfo & GetInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00282">Tensor.hpp:282</a></div></div> +<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a71975fcec1464d639f1a78f73164d1bd"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">armnn::TensorInfo::SetDataType</a></div><div class="ttdeci">void SetDataType(DataType type)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00195">Tensor.hpp:195</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abe311824d11bad4e6f93c8f94a721052"><div class="ttname"><a href="namespacearmnn.xhtml#abe311824d11bad4e6f93c8f94a721052">armnn::boost_test_print_type</a></div><div class="ttdeci">std::ostream & boost_test_print_type(std::ostream &ostr, const TensorInfo &right)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_test_8cpp_source.xhtml#l00014">TensorTest.cpp:14</a></div></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#l00490">Tensor.cpp:490</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a></div></div> +<div class="ttc" id="_profiler_tests_8cpp_xhtml_af7f71af5c6c124222dd1c42c5df892f4"><div class="ttname"><a href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE_END()</div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></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#l00174">Tensor.cpp:174</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_ad82b782a8e1a05b6a3756e73c66d5f90"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#ad82b782a8e1a05b6a3756e73c66d5f90">armnn::TensorShape::SetDimensionSize</a></div><div class="ttdeci">void SetDimensionSize(unsigned int i, unsigned int dimensionSize)</div><div class="ttdoc">Sets the size of the indicated dimension and Specificity for that dimension is set to true...</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00232">Tensor.cpp:232</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</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#l00480">Tensor.cpp:480</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#l00447">Tensor.cpp:447</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a34e12ab75d9073354565c2039f92112b"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a34e12ab75d9073354565c2039f92112b">armnn::TensorShape::IsAtLeastOneDimensionSpecified</a></div><div class="ttdeci">bool IsAtLeastOneDimensionSpecified() const</div><div class="ttdoc">Checks if there is at least one dimension specified. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00257">Tensor.cpp:257</a></div></div> +</div><!-- fragment --></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="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_e0a84d05c80a2ef4231141dcbbeac5c8.xhtml">armnn</a></li><li class="navelem"><a class="el" href="dir_9d86fd1fbecbedf5bdb69c7e7235fe5f.xhtml">test</a></li><li class="navelem"><a class="el" href="_tensor_test_8cpp.xhtml">TensorTest.cpp</a></li> + <li class="footer">Generated on Thu Feb 25 2021 17:27:29 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> |