arm_compute v17.09
Change-Id: I4bf8f4e6e5f84ce0d5b6f5ba570d276879f42a81
diff --git a/documentation/_validation_8cpp_source.xhtml b/documentation/_validation_8cpp_source.xhtml
index f4c2573..b0b45c8 100644
--- a/documentation/_validation_8cpp_source.xhtml
+++ b/documentation/_validation_8cpp_source.xhtml
@@ -4,7 +4,7 @@
<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 1.8.11"/>
+<meta name="generator" content="Doxygen 1.8.6"/>
<meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines -->
<title>Compute Library: tests/validation/Validation.cpp Source File</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
@@ -12,24 +12,22 @@
<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);
$(window).load(resizeHeight);
</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/javascript">
- $(document).ready(function() { init_search(); });
+ $(document).ready(function() { searchBox.OnSelectItem(0); });
</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>
+</script><script src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
</head>
<body>
@@ -40,7 +38,7 @@
<tr style="height: 56px;">
<td style="padding-left: 0.5em;">
<div id="projectname">Compute Library
-  <span id="projectnumber">v17.06</span>
+  <span id="projectnumber">17.09</span>
</div>
</td>
</tr>
@@ -48,7 +46,7 @@
</table>
</div>
<!-- end header part -->
-<!-- Generated by Doxygen 1.8.11 -->
+<!-- Generated by Doxygen 1.8.6 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
@@ -103,7 +101,7 @@
onmouseover="return searchBox.OnSearchSelectShow()"
onmouseout="return searchBox.OnSearchSelectHide()"
onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
+<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark"> </span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark"> </span>Data Structures</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark"> </span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark"> </span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark"> </span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark"> </span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark"> </span>Typedefs</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark"> </span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark"> </span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark"> </span>Friends</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark"> </span>Macros</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(11)"><span class="SelectionMark"> </span>Pages</a></div>
<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
@@ -117,46 +115,357 @@
<div class="title">Validation.cpp</div> </div>
</div><!--header-->
<div class="contents">
-<a href="_validation_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 (c) 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="_validation_8h.xhtml">Validation.h</a>"</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"> 26</span> <span class="preprocessor">#include "<a class="code" href="_i_accessor_8h.xhtml">IAccessor.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_raw_tensor_8h.xhtml">RawTensor.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_type_printer_8h.xhtml">TypePrinter.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "Utils.h"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_coordinates_8h.xhtml">arm_compute/core/Coordinates.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_error_8h.xhtml">arm_compute/core/Error.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_fixed_point_8h.xhtml">arm_compute/core/FixedPoint.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>"</span></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> <span class="preprocessor">#include <array></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include <cmath></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include <cstddef></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include <cstdint></span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include <iomanip></span></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">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">namespace </span>test</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="keyword">namespace </span>validation</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="keywordtype">double</span> get_double_data(<span class="keyword">const</span> <span class="keywordtype">void</span> *ptr, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type)</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>  <span class="keywordflow">switch</span>(data_type)</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>:</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>uint8_t *<span class="keyword">></span>(ptr);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">DataType::S8</a>:</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>int8_t *<span class="keyword">></span>(ptr);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>:</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><a class="code" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *<span class="keyword">></span>(ptr);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">DataType::U16</a>:</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>uint16_t *<span class="keyword">></span>(ptr);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>:</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>int16_t *<span class="keyword">></span>(ptr);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>:</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>uint32_t *<span class="keyword">></span>(ptr);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>:</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>int32_t *<span class="keyword">></span>(ptr);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">DataType::U64</a>:</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>uint64_t *<span class="keyword">></span>(ptr);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">DataType::S64</a>:</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>int64_t *<span class="keyword">></span>(ptr);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="preprocessor">#if ENABLE_FP16</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>float16_t *<span class="keyword">></span>(ptr);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><span class="keywordtype">float</span> *<span class="keyword">></span>(ptr);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">DataType::F64</a>:</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><span class="keywordtype">double</span> *<span class="keyword">></span>(ptr);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">DataType::SIZET</a>:</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><span class="keywordtype">size_t</span> *<span class="keyword">></span>(ptr);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"NOT SUPPORTED!"</span>);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> }</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="keywordtype">void</span> check_border_element(<span class="keyword">const</span> IAccessor &tensor, <span class="keyword">const</span> Coordinates &<span class="keywordtype">id</span>,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> &border_mode, <span class="keyword">const</span> <span class="keywordtype">void</span> *border_value,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  int64_t &num_elements, int64_t &num_mismatches)</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> {</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> channel_size = <a class="code" href="namespacearm__compute.xhtml#a34b06c0cd94808a77b697e79880b84b0">element_size_from_data_type</a>(tensor.data_type());</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keyword">const</span> <span class="keyword">auto</span> ptr = <span class="keyword">static_cast<</span><span class="keyword">const </span>uint8_t *<span class="keyword">></span>(tensor(<span class="keywordtype">id</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"> 102</span>  <span class="keywordflow">if</span>(border_mode == <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a4ef59320fbe90fe47d40f1f71e4c5daa">BorderMode::REPLICATE</a>)</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>  Coordinates border_id{ <span class="keywordtype">id</span> };</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  border_id.set(1, 0);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  border_value = tensor(border_id);</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> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="comment">// Iterate over all channels within one element</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> channel = 0; channel < tensor.num_channels(); ++channel)</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> channel_offset = channel * channel_size;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> target = get_double_data(ptr + channel_offset, tensor.data_type());</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> ref = get_double_data(static_cast<const uint8_t *>(border_value) + channel_offset, tensor.data_type());</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> difference = target - ref;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  BOOST_TEST_INFO(<span class="stringliteral">"id = "</span> << <span class="keywordtype">id</span>);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  BOOST_TEST_INFO(<span class="stringliteral">"channel = "</span> << channel);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  BOOST_TEST_INFO(<span class="stringliteral">"reference = "</span> << std::setprecision(5) << ref);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  BOOST_TEST_INFO(<span class="stringliteral">"target = "</span> << std::setprecision(5) << target);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  BOOST_TEST_WARN(difference == 0);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">if</span>(difference != 0.f)</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>  ++num_mismatches;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  }</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  ++num_elements;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</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"> 132</span> <span class="keywordtype">void</span> check_single_element(<span class="keyword">const</span> Coordinates &<span class="keywordtype">id</span>, <span class="keyword">const</span> IAccessor &tensor, <span class="keyword">const</span> RawTensor &reference, <span class="keywordtype">float</span> tolerance_value,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  uint64_t wrap_range, <span class="keywordtype">int</span> min_channels, <span class="keywordtype">size_t</span> channel_size, int64_t &num_mismatches, int64_t &num_elements)</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> {</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">const</span> <span class="keyword">auto</span> ptr = <span class="keyword">static_cast<</span><span class="keyword">const </span>uint8_t *<span class="keyword">></span>(tensor(<span class="keywordtype">id</span>));</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keyword">const</span> <span class="keyword">auto</span> ref_ptr = <span class="keyword">static_cast<</span><span class="keyword">const </span>uint8_t *<span class="keyword">></span>(reference(<span class="keywordtype">id</span>));</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="comment">// Iterate over all channels within one element</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> channel = 0; channel < min_channels; ++channel)</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> channel_offset = channel * channel_size;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> target = get_double_data(ptr + channel_offset, reference.data_type());</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> ref = get_double_data(ref_ptr + channel_offset, reference.data_type());</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> difference = target - ref;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  BOOST_TEST_INFO(<span class="stringliteral">"id = "</span> << <span class="keywordtype">id</span>);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  BOOST_TEST_INFO(<span class="stringliteral">"channel = "</span> << channel);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  BOOST_TEST_INFO(<span class="stringliteral">"reference = "</span> << std::setprecision(5) << ref);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  BOOST_TEST_INFO(<span class="stringliteral">"target = "</span> << std::setprecision(5) << target);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  BOOST_TEST_WARN(difference == 0);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ae115fc750a92fb6a5e094998b56fcc56">std::abs</a>(difference) > tolerance_value)</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>  <span class="comment">// If no special cases for tolerating wrappping cases</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// or the special case of wrapping exceeds tolerance_value</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">if</span>(wrap_range == 0 || (wrap_range - <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ae115fc750a92fb6a5e094998b56fcc56">std::abs</a>(difference)) > tolerance_value)</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>  ++num_mismatches;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  }</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  }</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  ++num_elements;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  }</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> }</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> } <span class="comment">// namespace</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f"> 166</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a> &region, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a> &reference)</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> {</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  BOOST_TEST(region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>() == reference.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>());</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  BOOST_TEST(region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>() == reference.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>());</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d < region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(); ++d)</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  {</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  BOOST_TEST(region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>[d] == reference.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>[d]);</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> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d < region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(); ++d)</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>  BOOST_TEST(region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>[d] == reference.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>[d]);</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> }</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00182"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#adf9a1249c175fca84f5bd15907291305"> 182</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">arm_compute::PaddingSize</a> &padding, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">arm_compute::PaddingSize</a> &reference)</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> {</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  BOOST_TEST(padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">top</a> == reference.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">top</a>);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  BOOST_TEST(padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">right</a> == reference.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">right</a>);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  BOOST_TEST(padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a802ffcf1b49237efe5be8a314d3f3869">bottom</a> == reference.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a802ffcf1b49237efe5be8a314d3f3869">bottom</a>);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  BOOST_TEST(padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a> == reference.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a>);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> }</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> </div><div class="line"><a name="l00190"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a30a106bd01550a45b186beda2abccb9c"> 190</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml">IAccessor</a> &tensor, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &reference, <span class="keywordtype">float</span> tolerance_value, <span class="keywordtype">float</span> tolerance_number, uint64_t wrap_range)</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> {</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="comment">// Validate with valid region covering the entire shape</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(tensor, reference, <a class="code" href="namespacearm__compute_1_1test.xhtml#a670cba074b4be0bf9af03e48250bd616">shape_to_valid_region</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()), tolerance_value, tolerance_number, wrap_range);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> }</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9869b9fc8ba5ff877ab8a45fc947b7f9"> 196</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml">IAccessor</a> &tensor, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &reference, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &valid_region, <span class="keywordtype">float</span> tolerance_value, <span class="keywordtype">float</span> tolerance_number, uint64_t wrap_range)</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> {</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  int64_t num_mismatches = 0;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  int64_t num_elements = 0;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  BOOST_TEST(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#aa459796b5489eca8a9160cb5dcf1a103">element_size</a>() == reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a448f57f9d6aec61b3d85b898affe4a2e">element_size</a>());</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  BOOST_TEST(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a57360dd9ca408834c0ea1a8ef70a11f4">format</a>() == reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a0c875a3203d902e2ad6bc3045355e69e">format</a>());</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  BOOST_TEST(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a45cc7b9a37aa9f0e7d479248a27e1f58">data_type</a>());</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  BOOST_TEST(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#ac492280ef2d7889f1226d34743b74459">num_channels</a>() == reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#abd107d6e8ccfc38f781be8683d8141c2">num_channels</a>());</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  BOOST_TEST(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa5930677af602cee147919968acaca59">compare_dimensions</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>(), reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a13761831550669f43f4edee978181c46">shape</a>()));</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> min_elements = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e">num_elements</a>(), reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#ab5fe769d05a0f7dfee63972bdbd54261">num_elements</a>());</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> min_channels = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#ac492280ef2d7889f1226d34743b74459">num_channels</a>(), reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#abd107d6e8ccfc38f781be8683d8141c2">num_channels</a>());</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> channel_size = <a class="code" href="namespacearm__compute.xhtml#a34b06c0cd94808a77b697e79880b84b0">element_size_from_data_type</a>(reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a45cc7b9a37aa9f0e7d479248a27e1f58">data_type</a>());</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">// Iterate over all elements within valid region, e.g. U8, S16, RGB888, ...</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> element_idx = 0; element_idx < min_elements; ++element_idx)</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>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> <span class="keywordtype">id</span> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(reference.<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a13761831550669f43f4edee978181c46">shape</a>(), element_idx);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test.xhtml#a58ee979a599b3b6a2587964106b1910c">is_in_valid_region</a>(valid_region, <span class="keywordtype">id</span>))</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>  check_single_element(<span class="keywordtype">id</span>, tensor, reference, tolerance_value, wrap_range, min_channels, channel_size, num_mismatches, num_elements);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  }</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  }</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keyword">const</span> int64_t absolute_tolerance_number = tolerance_number * num_elements;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> percent_mismatches = <span class="keyword">static_cast<</span><span class="keywordtype">float</span><span class="keyword">></span>(num_mismatches) / num_elements * 100.f;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  BOOST_TEST(num_mismatches <= absolute_tolerance_number,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  num_mismatches << <span class="stringliteral">" values ("</span> << std::setprecision(2) << percent_mismatches</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  << <span class="stringliteral">"%) mismatched (maximum tolerated "</span> << std::setprecision(2) << tolerance_number << <span class="stringliteral">"%)"</span>);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> }</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1e8ca0b3d47827b9574e21e9d73cab6a"> 229</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml">IAccessor</a> &tensor, <span class="keyword">const</span> <span class="keywordtype">void</span> *reference_value)</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>  BOOST_TEST_REQUIRE((reference_value != <span class="keyword">nullptr</span>));</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  int64_t num_mismatches = 0;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  int64_t num_elements = 0;</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> channel_size = <a class="code" href="namespacearm__compute.xhtml#a34b06c0cd94808a77b697e79880b84b0">element_size_from_data_type</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>());</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="comment">// Iterate over all elements, e.g. U8, S16, RGB888, ...</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> element_idx = 0; element_idx < tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e">num_elements</a>(); ++element_idx)</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="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> <span class="keywordtype">id</span> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>(), element_idx);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keyword">const</span> <span class="keyword">auto</span> ptr = <span class="keyword">static_cast<</span><span class="keyword">const </span>uint8_t *<span class="keyword">></span>(tensor(<span class="keywordtype">id</span>));</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="comment">// Iterate over all channels within one element</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> channel = 0; channel < tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#ac492280ef2d7889f1226d34743b74459">num_channels</a>(); ++channel)</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  {</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> channel_offset = channel * channel_size;</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> target = get_double_data(ptr + channel_offset, tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>());</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> ref = get_double_data(reference_value, tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>());</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> difference = target - ref;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  BOOST_TEST_INFO(<span class="stringliteral">"id = "</span> << <span class="keywordtype">id</span>);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  BOOST_TEST_INFO(<span class="stringliteral">"channel = "</span> << channel);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  BOOST_TEST_INFO(<span class="stringliteral">"reference = "</span> << std::setprecision(5) << ref);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  BOOST_TEST_INFO(<span class="stringliteral">"target = "</span> << std::setprecision(5) << target);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  BOOST_TEST_WARN(difference == 0);</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> </div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">if</span>(difference != 0.f)</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  {</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  ++num_mismatches;</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  }</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> </div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  ++num_elements;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  }</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  }</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> </div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> percent_mismatches = <span class="keyword">static_cast<</span><span class="keywordtype">float</span><span class="keyword">></span>(num_mismatches) / num_elements * 100.f;</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  BOOST_TEST(num_mismatches == 0,</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  num_mismatches << <span class="stringliteral">" values ("</span> << std::setprecision(2) << percent_mismatches << <span class="stringliteral">"%) mismatched"</span>);</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> </div><div class="line"><a name="l00273"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a47bc8966b6ed3446daaf27aa413047c1"> 273</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml">IAccessor</a> &tensor, <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> &border_mode, <span class="keyword">const</span> <span class="keywordtype">void</span> *border_value)</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> {</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">if</span>(border_mode == <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a0db45d2a4141101bdfe48e3314cfbca3">BorderMode::UNDEFINED</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="keywordflow">return</span>;</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  }</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(border_mode == <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a8d6b5cada83510220f59e00ce86d4d92">BorderMode::CONSTANT</a>)</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  {</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  BOOST_TEST((border_value != <span class="keyword">nullptr</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"> 283</span> </div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  int64_t num_mismatches = 0;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  int64_t num_elements = 0;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> slice_size = tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[0] * tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[1];</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> element_idx = 0; element_idx < tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e">num_elements</a>(); element_idx += slice_size)</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  {</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> <span class="keywordtype">id</span> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>(), element_idx);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="comment">// Top border</span></div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = -border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">top</a>; y < 0; ++y)</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  {</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordtype">id</span>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">set</a>(1, y);</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = -border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a>; x < static_cast<int>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[0]) + static_cast<int>(border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">right</a>); ++x)</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  {</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordtype">id</span>.set(0, x);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  check_border_element(tensor, <span class="keywordtype">id</span>, border_mode, border_value, num_elements, num_mismatches);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  }</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  }</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="comment">// Bottom border</span></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[1]; y < static_cast<int>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[1]) + static_cast<int>(border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a802ffcf1b49237efe5be8a314d3f3869">bottom</a>); ++y)</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  {</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordtype">id</span>.set(1, y);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> </div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = -border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a>; x < static_cast<int>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[0]) + static_cast<int>(border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">right</a>); ++x)</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  {</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordtype">id</span>.set(0, x);</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> </div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  check_border_element(tensor, <span class="keywordtype">id</span>, border_mode, border_value, num_elements, num_mismatches);</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  }</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  }</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span> </div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="comment">// Left/right border</span></div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = 0; y < static_cast<int>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[1]); ++y)</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  {</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keywordtype">id</span>.set(1, y);</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span> </div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="comment">// Left border</span></div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = -border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a>; x < 0; ++x)</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>  <span class="keywordtype">id</span>.set(0, x);</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> </div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  check_border_element(tensor, <span class="keywordtype">id</span>, border_mode, border_value, num_elements, num_mismatches);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  }</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> </div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="comment">// Right border</span></div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[0]; x < static_cast<int>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[0]) + static_cast<int>(border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">right</a>); ++x)</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  {</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordtype">id</span>.set(0, x);</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>  check_border_element(tensor, <span class="keywordtype">id</span>, border_mode, border_value, num_elements, num_mismatches);</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  }</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  }</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  }</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> </div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> percent_mismatches = <span class="keyword">static_cast<</span><span class="keywordtype">float</span><span class="keyword">></span>(num_mismatches) / num_elements * 100.f;</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> </div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  BOOST_TEST(num_mismatches == 0,</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  num_mismatches << <span class="stringliteral">" values ("</span> << std::setprecision(2) << percent_mismatches << <span class="stringliteral">"%) mismatched"</span>);</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> }</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> </div><div class="line"><a name="l00347"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6c4e463dd04d06dc641fe48308e13334"> 347</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(std::vector<unsigned int> classified_labels, std::vector<unsigned int> expected_labels)</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(expected_labels.size() != 0);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  BOOST_TEST(classified_labels.size() == expected_labels.size());</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> </div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < expected_labels.size(); ++i)</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(classified_labels[i] == expected_labels[i]);</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  }</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> }</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> } <span class="comment">// namespace validation</span></div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span> } <span class="comment">// namespace test</span></div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> } <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="namespacearm__compute_xhtml_a15a05537a472ee742404821851529327"><div class="ttname"><a href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">arm_compute::BorderMode</a></div><div class="ttdeci">BorderMode</div><div class="ttdoc">Methods available to handle borders. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00123">Types.h:123</a></div></div>
-<div class="ttc" id="_i_accessor_8h_xhtml"><div class="ttname"><a href="_i_accessor_8h.xhtml">IAccessor.h</a></div></div>
+<a href="_validation_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 (c) 2017 ARM Limited.</span></div>
+<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div>
+<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div>
+<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div>
+<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div>
+<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div>
+<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div>
+<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div>
+<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div>
+<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div>
+<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div>
+<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div>
+<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div>
+<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div>
+<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div>
+<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div>
+<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div>
+<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="_validation_8h.xhtml">Validation.h</a>"</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"> 26</span> <span class="preprocessor">#include "<a class="code" href="_coordinates_8h.xhtml">arm_compute/core/Coordinates.h</a>"</span></div>
+<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_error_8h.xhtml">arm_compute/core/Error.h</a>"</span></div>
+<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>"</span></div>
+<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div>
+<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>"</span></div>
+<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div>
+<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <array></span></div>
+<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <cmath></span></div>
+<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include <cstddef></span></div>
+<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include <cstdint></span></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> <span class="keyword">namespace </span>arm_compute</div>
+<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div>
+<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">namespace </span>test</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> <span class="keyword">namespace </span>validation</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">namespace</span></div>
+<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div>
+<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="keywordtype">double</span> get_double_data(<span class="keyword">const</span> <span class="keywordtype">void</span> *ptr, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>)</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>  <span class="keywordflow">if</span>(ptr == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  {</div>
+<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Can't dereference a null pointer!"</span>);</div>
+<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  }</div>
+<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div>
+<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">switch</span>(data_type)</div>
+<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div>
+<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>:</div>
+<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>uint8_t *<span class="keyword">></span>(ptr);</div>
+<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">DataType::S8</a>:</div>
+<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>int8_t *<span class="keyword">></span>(ptr);</div>
+<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>:</div>
+<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><a class="code" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *<span class="keyword">></span>(ptr);</div>
+<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">DataType::U16</a>:</div>
+<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>uint16_t *<span class="keyword">></span>(ptr);</div>
+<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>:</div>
+<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>int16_t *<span class="keyword">></span>(ptr);</div>
+<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">DataType::QS16</a>:</div>
+<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><a class="code" href="namespacearm__compute.xhtml#a1521eea74b97de8f2df9304e44179400">qint16_t</a> *<span class="keyword">></span>(ptr);</div>
+<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>:</div>
+<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>uint32_t *<span class="keyword">></span>(ptr);</div>
+<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>:</div>
+<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>int32_t *<span class="keyword">></span>(ptr);</div>
+<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">DataType::U64</a>:</div>
+<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>uint64_t *<span class="keyword">></span>(ptr);</div>
+<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">DataType::S64</a>:</div>
+<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>int64_t *<span class="keyword">></span>(ptr);</div>
+<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div>
+<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *<span class="keyword">></span>(ptr);</div>
+<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div>
+<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><span class="keywordtype">float</span> *<span class="keyword">></span>(ptr);</div>
+<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">DataType::F64</a>:</div>
+<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><span class="keywordtype">double</span> *<span class="keyword">></span>(ptr);</div>
+<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">DataType::SIZET</a>:</div>
+<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><span class="keywordtype">size_t</span> *<span class="keyword">></span>(ptr);</div>
+<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">default</span>:</div>
+<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"NOT SUPPORTED!"</span>);</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> }</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> <span class="keywordtype">void</span> check_border_element(<span class="keyword">const</span> IAccessor &tensor, <span class="keyword">const</span> Coordinates &<span class="keywordtype">id</span>,</div>
+<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> &border_mode, <span class="keyword">const</span> <span class="keywordtype">void</span> *border_value,</div>
+<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  int64_t &num_elements, int64_t &num_mismatches)</div>
+<div class="line"><a name="l00097"></a><span class="lineno"> 97</span> {</div>
+<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> channel_size = <a class="code" href="namespacearm__compute.xhtml#a34b06c0cd94808a77b697e79880b84b0">element_size_from_data_type</a>(tensor.data_type());</div>
+<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keyword">const</span> <span class="keyword">auto</span> ptr = <span class="keyword">static_cast<</span><span class="keyword">const </span>uint8_t *<span class="keyword">></span>(tensor(<span class="keywordtype">id</span>));</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>  <span class="keywordflow">if</span>(border_mode == <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a4ef59320fbe90fe47d40f1f71e4c5daa">BorderMode::REPLICATE</a>)</div>
+<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  {</div>
+<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  Coordinates border_id{ <span class="keywordtype">id</span> };</div>
+<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div>
+<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">if</span>(<span class="keywordtype">id</span>.x() < 0)</div>
+<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {</div>
+<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  border_id.set(0, 0);</div>
+<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div>
+<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(static_cast<size_t>(<span class="keywordtype">id</span>.x()) >= tensor.shape().x())</div>
+<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  {</div>
+<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  border_id.set(0, tensor.shape().x() - 1);</div>
+<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  }</div>
+<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div>
+<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">if</span>(<span class="keywordtype">id</span>.y() < 0)</div>
+<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  {</div>
+<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  border_id.set(1, 0);</div>
+<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  }</div>
+<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(static_cast<size_t>(<span class="keywordtype">id</span>.y()) >= tensor.shape().y())</div>
+<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {</div>
+<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  border_id.set(1, tensor.shape().y() - 1);</div>
+<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  }</div>
+<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div>
+<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  border_value = tensor(border_id);</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> </div>
+<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="comment">// Iterate over all channels within one element</span></div>
+<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> channel = 0; channel < tensor.num_channels(); ++channel)</div>
+<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  {</div>
+<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> channel_offset = channel * channel_size;</div>
+<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> target = get_double_data(ptr + channel_offset, tensor.data_type());</div>
+<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> reference = get_double_data(static_cast<const uint8_t *>(border_value) + channel_offset, tensor.data_type());</div>
+<div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div>
+<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">if</span>(!compare<AbsoluteTolerance<double>>(target, reference))</div>
+<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  {</div>
+<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="_asserts_8h.xhtml#ac498e3dc31f8819519a9497b2d5789c1">ARM_COMPUTE_TEST_INFO</a>(<span class="stringliteral">"id = "</span> << <span class="keywordtype">id</span>);</div>
+<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="_asserts_8h.xhtml#ac498e3dc31f8819519a9497b2d5789c1">ARM_COMPUTE_TEST_INFO</a>(<span class="stringliteral">"channel = "</span> << channel);</div>
+<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="_asserts_8h.xhtml#ac498e3dc31f8819519a9497b2d5789c1">ARM_COMPUTE_TEST_INFO</a>(<span class="stringliteral">"target = "</span> << std::setprecision(5) << target);</div>
+<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="_asserts_8h.xhtml#ac498e3dc31f8819519a9497b2d5789c1">ARM_COMPUTE_TEST_INFO</a>(<span class="stringliteral">"reference = "</span> << std::setprecision(5) << reference);</div>
+<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4">ARM_COMPUTE_EXPECT_EQUAL</a>(target, reference, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9adc30ec20708ef7b0f641ef78b7880a15">framework::LogLevel::DEBUG</a>);</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>  ++num_mismatches;</div>
+<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  }</div>
+<div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div>
+<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  ++num_elements;</div>
+<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  }</div>
+<div class="line"><a name="l00146"></a><span class="lineno"> 146</span> }</div>
+<div class="line"><a name="l00147"></a><span class="lineno"> 147</span> } <span class="comment">// namespace</span></div>
+<div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div>
+<div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f"> 149</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a> &region, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a> &reference)</div>
+<div class="line"><a name="l00150"></a><span class="lineno"> 150</span> {</div>
+<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4">ARM_COMPUTE_EXPECT_EQUAL</a>(region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(), reference.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div>
+<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4">ARM_COMPUTE_EXPECT_EQUAL</a>(region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(), reference.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</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>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d < region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(); ++d)</div>
+<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  {</div>
+<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4">ARM_COMPUTE_EXPECT_EQUAL</a>(region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>[d], reference.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>[d], <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</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> </div>
+<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d < region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(); ++d)</div>
+<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  {</div>
+<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4">ARM_COMPUTE_EXPECT_EQUAL</a>(region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>[d], reference.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>[d], <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div>
+<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  }</div>
+<div class="line"><a name="l00163"></a><span class="lineno"> 163</span> }</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="namespacearm__compute_1_1test_1_1validation.xhtml#adf9a1249c175fca84f5bd15907291305"> 165</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">arm_compute::PaddingSize</a> &<a class="code" href="hwc_8hpp.xhtml#ad487ce76e40f524a7f5e350763b91ae5">padding</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">arm_compute::PaddingSize</a> &reference)</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>  <a class="code" href="_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4">ARM_COMPUTE_EXPECT_EQUAL</a>(padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">top</a>, reference.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">top</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div>
+<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4">ARM_COMPUTE_EXPECT_EQUAL</a>(padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">right</a>, reference.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">right</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div>
+<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <a class="code" href="_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4">ARM_COMPUTE_EXPECT_EQUAL</a>(padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a802ffcf1b49237efe5be8a314d3f3869">bottom</a>, reference.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a802ffcf1b49237efe5be8a314d3f3869">bottom</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div>
+<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4">ARM_COMPUTE_EXPECT_EQUAL</a>(padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a>, reference.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div>
+<div class="line"><a name="l00171"></a><span class="lineno"> 171</span> }</div>
+<div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div>
+<div class="line"><a name="l00173"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1e8ca0b3d47827b9574e21e9d73cab6a"> 173</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml">IAccessor</a> &tensor, <span class="keyword">const</span> <span class="keywordtype">void</span> *reference_value)</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="_asserts_8h.xhtml#a83bf33add9b97f6897b7b3db2766dd27">ARM_COMPUTE_ASSERT</a>(reference_value != <span class="keyword">nullptr</span>);</div>
+<div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div>
+<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  int64_t num_mismatches = 0;</div>
+<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  int64_t num_elements = 0;</div>
+<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> channel_size = <a class="code" href="namespacearm__compute.xhtml#a34b06c0cd94808a77b697e79880b84b0">element_size_from_data_type</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>());</div>
+<div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div>
+<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="comment">// Iterate over all elements, e.g. U8, S16, RGB888, ...</span></div>
+<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> element_idx = 0; element_idx < tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e">num_elements</a>(); ++element_idx)</div>
+<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  {</div>
+<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> <span class="keywordtype">id</span> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>(), element_idx);</div>
+<div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div>
+<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keyword">const</span> <span class="keyword">auto</span> ptr = <span class="keyword">static_cast<</span><span class="keyword">const </span>uint8_t *<span class="keyword">></span>(tensor(<span class="keywordtype">id</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"> 188</span>  <span class="comment">// Iterate over all channels within one element</span></div>
+<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> channel = 0; channel < tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#ac492280ef2d7889f1226d34743b74459">num_channels</a>(); ++channel)</div>
+<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  {</div>
+<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> channel_offset = channel * channel_size;</div>
+<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> target = get_double_data(ptr + channel_offset, tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>());</div>
+<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> reference = get_double_data(reference_value, tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>());</div>
+<div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div>
+<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">if</span>(!<a class="code" href="structarm__compute_1_1test_1_1validation_1_1compare.xhtml">compare</a><<a class="code" href="classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance.xhtml">AbsoluteTolerance<double></a>>(target, reference))</div>
+<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  {</div>
+<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <a class="code" href="_asserts_8h.xhtml#ac498e3dc31f8819519a9497b2d5789c1">ARM_COMPUTE_TEST_INFO</a>(<span class="stringliteral">"id = "</span> << <span class="keywordtype">id</span>);</div>
+<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <a class="code" href="_asserts_8h.xhtml#ac498e3dc31f8819519a9497b2d5789c1">ARM_COMPUTE_TEST_INFO</a>(<span class="stringliteral">"channel = "</span> << channel);</div>
+<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="_asserts_8h.xhtml#ac498e3dc31f8819519a9497b2d5789c1">ARM_COMPUTE_TEST_INFO</a>(<span class="stringliteral">"target = "</span> << std::setprecision(5) << target);</div>
+<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="_asserts_8h.xhtml#ac498e3dc31f8819519a9497b2d5789c1">ARM_COMPUTE_TEST_INFO</a>(<span class="stringliteral">"reference = "</span> << std::setprecision(5) << reference);</div>
+<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4">ARM_COMPUTE_EXPECT_EQUAL</a>(target, reference, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9adc30ec20708ef7b0f641ef78b7880a15">framework::LogLevel::DEBUG</a>);</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>  ++num_mismatches;</div>
+<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  }</div>
+<div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div>
+<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  ++num_elements;</div>
+<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  }</div>
+<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  }</div>
+<div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div>
+<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordflow">if</span>(num_elements > 0)</div>
+<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  {</div>
+<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> percent_mismatches = <span class="keyword">static_cast<</span><span class="keywordtype">float</span><span class="keyword">></span>(num_mismatches) / num_elements * 100.f;</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>  <a class="code" href="_asserts_8h.xhtml#ac498e3dc31f8819519a9497b2d5789c1">ARM_COMPUTE_TEST_INFO</a>(num_mismatches << <span class="stringliteral">" values ("</span> << std::fixed << std::setprecision(2) << percent_mismatches << <span class="stringliteral">"%) mismatched"</span>);</div>
+<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4">ARM_COMPUTE_EXPECT_EQUAL</a>(num_mismatches, 0, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</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> }</div>
+<div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div>
+<div class="line"><a name="l00219"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a47bc8966b6ed3446daaf27aa413047c1"> 219</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml">IAccessor</a> &tensor, <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> &border_mode, <span class="keyword">const</span> <span class="keywordtype">void</span> *border_value)</div>
+<div class="line"><a name="l00220"></a><span class="lineno"> 220</span> {</div>
+<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">if</span>(border_mode == <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a0db45d2a4141101bdfe48e3314cfbca3">BorderMode::UNDEFINED</a>)</div>
+<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  {</div>
+<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordflow">return</span>;</div>
+<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  }</div>
+<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(border_mode == <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a8d6b5cada83510220f59e00ce86d4d92">BorderMode::CONSTANT</a>)</div>
+<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  {</div>
+<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="_asserts_8h.xhtml#a83bf33add9b97f6897b7b3db2766dd27">ARM_COMPUTE_ASSERT</a>(border_value != <span class="keyword">nullptr</span>);</div>
+<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  }</div>
+<div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div>
+<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  int64_t num_mismatches = 0;</div>
+<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  int64_t num_elements = 0;</div>
+<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> slice_size = tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[0] * tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[1];</div>
+<div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div>
+<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> element_idx = 0; element_idx < tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e">num_elements</a>(); element_idx += slice_size)</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>  <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> <span class="keywordtype">id</span> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>(), element_idx);</div>
+<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div>
+<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="comment">// Top border</span></div>
+<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = -border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">top</a>; y < 0; ++y)</div>
+<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  {</div>
+<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordtype">id</span>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">set</a>(1, y);</div>
+<div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div>
+<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = -border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a>; x < static_cast<int>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[0]) + static_cast<int>(border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">right</a>); ++x)</div>
+<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  {</div>
+<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordtype">id</span>.set(0, x);</div>
+<div class="line"><a name="l00246"></a><span class="lineno"> 246</span> </div>
+<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  check_border_element(tensor, <span class="keywordtype">id</span>, border_mode, border_value, num_elements, num_mismatches);</div>
+<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  }</div>
+<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  }</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="comment">// Bottom border</span></div>
+<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[1]; y < static_cast<int>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[1]) + static_cast<int>(border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a802ffcf1b49237efe5be8a314d3f3869">bottom</a>); ++y)</div>
+<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  {</div>
+<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordtype">id</span>.set(1, y);</div>
+<div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div>
+<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = -border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a>; x < static_cast<int>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[0]) + static_cast<int>(border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">right</a>); ++x)</div>
+<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  {</div>
+<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordtype">id</span>.set(0, x);</div>
+<div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div>
+<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  check_border_element(tensor, <span class="keywordtype">id</span>, border_mode, border_value, num_elements, num_mismatches);</div>
+<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  }</div>
+<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  }</div>
+<div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div>
+<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="comment">// Left/right border</span></div>
+<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = 0; y < static_cast<int>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[1]); ++y)</div>
+<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  {</div>
+<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordtype">id</span>.set(1, y);</div>
+<div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div>
+<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="comment">// Left border</span></div>
+<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = -border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a>; x < 0; ++x)</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>  <span class="keywordtype">id</span>.set(0, x);</div>
+<div class="line"><a name="l00273"></a><span class="lineno"> 273</span> </div>
+<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  check_border_element(tensor, <span class="keywordtype">id</span>, border_mode, border_value, num_elements, num_mismatches);</div>
+<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  }</div>
+<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div>
+<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="comment">// Right border</span></div>
+<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[0]; x < static_cast<int>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">shape</a>()[0]) + static_cast<int>(border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">right</a>); ++x)</div>
+<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  {</div>
+<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordtype">id</span>.set(0, x);</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>  check_border_element(tensor, <span class="keywordtype">id</span>, border_mode, border_value, num_elements, num_mismatches);</div>
+<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  }</div>
+<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  }</div>
+<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  }</div>
+<div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div>
+<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">if</span>(num_elements > 0)</div>
+<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  {</div>
+<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> percent_mismatches = <span class="keyword">static_cast<</span><span class="keywordtype">float</span><span class="keyword">></span>(num_mismatches) / num_elements * 100.f;</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>  <a class="code" href="_asserts_8h.xhtml#ac498e3dc31f8819519a9497b2d5789c1">ARM_COMPUTE_TEST_INFO</a>(num_mismatches << <span class="stringliteral">" values ("</span> << std::fixed << std::setprecision(2) << percent_mismatches << <span class="stringliteral">"%) mismatched"</span>);</div>
+<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <a class="code" href="_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4">ARM_COMPUTE_EXPECT_EQUAL</a>(num_mismatches, 0, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div>
+<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  }</div>
+<div class="line"><a name="l00294"></a><span class="lineno"> 294</span> }</div>
+<div class="line"><a name="l00295"></a><span class="lineno"> 295</span> </div>
+<div class="line"><a name="l00296"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6c4e463dd04d06dc641fe48308e13334"> 296</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">validate</a>(std::vector<unsigned int> classified_labels, std::vector<unsigned int> expected_labels)</div>
+<div class="line"><a name="l00297"></a><span class="lineno"> 297</span> {</div>
+<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <a class="code" href="_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4">ARM_COMPUTE_EXPECT_EQUAL</a>(classified_labels.size(), expected_labels.size(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div>
+<div class="line"><a name="l00299"></a><span class="lineno"> 299</span> </div>
+<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  int64_t num_mismatches = 0;</div>
+<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> num_elements = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(classified_labels.size(), expected_labels.size());</div>
+<div class="line"><a name="l00302"></a><span class="lineno"> 302</span> </div>
+<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i < num_elements; ++i)</div>
+<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  {</div>
+<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordflow">if</span>(classified_labels[i] != expected_labels[i])</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>  ++num_mismatches;</div>
+<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <a class="code" href="_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4">ARM_COMPUTE_EXPECT_EQUAL</a>(classified_labels[i], expected_labels[i], <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9adc30ec20708ef7b0f641ef78b7880a15">framework::LogLevel::DEBUG</a>);</div>
+<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  }</div>
+<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  }</div>
+<div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div>
+<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordflow">if</span>(num_elements > 0)</div>
+<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  {</div>
+<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> percent_mismatches = <span class="keyword">static_cast<</span><span class="keywordtype">float</span><span class="keyword">></span>(num_mismatches) / num_elements * 100.f;</div>
+<div class="line"><a name="l00315"></a><span class="lineno"> 315</span> </div>
+<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <a class="code" href="_asserts_8h.xhtml#ac498e3dc31f8819519a9497b2d5789c1">ARM_COMPUTE_TEST_INFO</a>(num_mismatches << <span class="stringliteral">" values ("</span> << std::fixed << std::setprecision(2) << percent_mismatches << <span class="stringliteral">"%) mismatched"</span>);</div>
+<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4">ARM_COMPUTE_EXPECT_EQUAL</a>(num_mismatches, 0, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div>
+<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  }</div>
+<div class="line"><a name="l00319"></a><span class="lineno"> 319</span> }</div>
+<div class="line"><a name="l00320"></a><span class="lineno"> 320</span> } <span class="comment">// namespace validation</span></div>
+<div class="line"><a name="l00321"></a><span class="lineno"> 321</span> } <span class="comment">// namespace test</span></div>
+<div class="line"><a name="l00322"></a><span class="lineno"> 322</span> } <span class="comment">// namespace arm_compute</span></div>
+<div class="ttc" id="namespacearm__compute_xhtml_a15a05537a472ee742404821851529327"><div class="ttname"><a href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">arm_compute::BorderMode</a></div><div class="ttdeci">BorderMode</div><div class="ttdoc">Methods available to handle borders. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00128">Types.h:128</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00031">Error.h:31</a></div></div>
-<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_a3fdd42ea34070a54e696b3adc28c4be3"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">arm_compute::BorderSize::top</a></div><div class="ttdeci">unsigned int top</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00195">Types.h:195</a></div></div>
-<div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml_abd107d6e8ccfc38f781be8683d8141c2"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#abd107d6e8ccfc38f781be8683d8141c2">arm_compute::test::RawTensor::num_channels</a></div><div class="ttdeci">int num_channels() const </div><div class="ttdoc">Number of channels of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8cpp_source.xhtml#l00124">RawTensor.cpp:124</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point< T > min(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00875">FixedPoint.h:875</a></div></div>
-<div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">arm_compute::test::RawTensor</a></div><div class="ttdoc">Simple tensor object that stores elements in a consecutive chunk of memory. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8h_source.xhtml#l00047">RawTensor.h:47</a></div></div>
-<div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml_a448f57f9d6aec61b3d85b898affe4a2e"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a448f57f9d6aec61b3d85b898affe4a2e">arm_compute::test::RawTensor::element_size</a></div><div class="ttdeci">size_t element_size() const </div><div class="ttdoc">Size of each element in the tensor in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8cpp_source.xhtml#l00091">RawTensor.cpp:91</a></div></div>
-<div class="ttc" id="arm__compute_2runtime_2_tensor_8h_xhtml"><div class="ttname"><a href="arm__compute_2runtime_2_tensor_8h.xhtml">Tensor.h</a></div></div>
+<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_a3fdd42ea34070a54e696b3adc28c4be3"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">arm_compute::BorderSize::top</a></div><div class="ttdeci">unsigned int top</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00200">Types.h:200</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">arm_compute::DataType::QS16</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point< T > min(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00884">FixedPoint.h:884</a></div></div>
+<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance.xhtml">arm_compute::test::validation::AbsoluteTolerance</a></div><div class="ttdoc">Class reprensenting an absolute tolerance value. </div><div class="ttdef"><b>Definition:</b> <a href="_validation_8h_source.xhtml#l00050">Validation.h:50</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">arm_compute::DataType::QS8</a></div></div>
-<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml_a1fcd64682b37ed3c2098d0094ce788d8"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">arm_compute::ValidRegion::shape</a></div><div class="ttdeci">TensorShape shape</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00119">Types.h:119</a></div></div>
-<div class="ttc" id="classarm__compute_1_1test_1_1_i_accessor_xhtml_a57360dd9ca408834c0ea1a8ef70a11f4"><div class="ttname"><a href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a57360dd9ca408834c0ea1a8ef70a11f4">arm_compute::test::IAccessor::format</a></div><div class="ttdeci">virtual Format format() const =0</div><div class="ttdoc">Image format of the tensor. </div></div>
-<div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00131">Types.h:131</a></div></div>
+<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml_a1fcd64682b37ed3c2098d0094ce788d8"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">arm_compute::ValidRegion::shape</a></div><div class="ttdeci">TensorShape shape</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00124">Types.h:124</a></div></div>
+<div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00136">Types.h:136</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">Unknown image format. </div></div>
-<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a58ee979a599b3b6a2587964106b1910c"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a58ee979a599b3b6a2587964106b1910c">arm_compute::test::is_in_valid_region</a></div><div class="ttdeci">bool is_in_valid_region(const ValidRegion &valid_region, const Coordinates &coord)</div><div class="ttdoc">Check if a coordinate is within a valid region. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00658">Utils.h:658</a></div></div>
-<div class="ttc" id="namespacearm__compute_xhtml_a34b06c0cd94808a77b697e79880b84b0"><div class="ttname"><a href="namespacearm__compute.xhtml#a34b06c0cd94808a77b697e79880b84b0">arm_compute::element_size_from_data_type</a></div><div class="ttdeci">size_t element_size_from_data_type(DataType dt)</div><div class="ttdoc">The size in bytes of the data type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00172">Utils.h:172</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_a34b06c0cd94808a77b697e79880b84b0"><div class="ttname"><a href="namespacearm__compute.xhtml#a34b06c0cd94808a77b697e79880b84b0">arm_compute::element_size_from_data_type</a></div><div class="ttdeci">size_t element_size_from_data_type(DataType dt)</div><div class="ttdoc">The size in bytes of the data type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00161">Utils.h:161</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_a73e2825fd61d349c5ca2f5313e3c8ea1"><div class="ttname"><a href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">arm_compute::half</a></div><div class="ttdeci">half_float::half half</div><div class="ttdoc">16-bit floating point type </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00039">Types.h:39</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F16 per channel </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::Format::U16</a></div><div class="ttdoc">1 channel, 1 S16 per channel </div></div>
-<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_a802ffcf1b49237efe5be8a314d3f3869"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#a802ffcf1b49237efe5be8a314d3f3869">arm_compute::BorderSize::bottom</a></div><div class="ttdeci">unsigned int bottom</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00197">Types.h:197</a></div></div>
-<div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml_a13761831550669f43f4edee978181c46"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a13761831550669f43f4edee978181c46">arm_compute::test::RawTensor::shape</a></div><div class="ttdeci">TensorShape shape() const </div><div class="ttdoc">Shape of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8cpp_source.xhtml#l00086">RawTensor.cpp:86</a></div></div>
+<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_a802ffcf1b49237efe5be8a314d3f3869"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#a802ffcf1b49237efe5be8a314d3f3869">arm_compute::BorderSize::bottom</a></div><div class="ttdeci">unsigned int bottom</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00202">Types.h:202</a></div></div>
+<div class="ttc" id="structarm__compute_1_1test_1_1validation_1_1compare_xhtml"><div class="ttname"><a href="structarm__compute_1_1test_1_1validation_1_1compare.xhtml">arm_compute::test::validation::compare</a></div><div class="ttdef"><b>Definition:</b> <a href="_validation_8h_source.xhtml#l00236">Validation.h:236</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a982730e6f0da5f9490f59bc5f6bb3f27"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">arm_compute::Dimensions::set</a></div><div class="ttdeci">void set(size_t dimension, T value)</div><div class="ttdoc">Accessor to set the value of one of the dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00074">Dimensions.h:74</a></div></div>
+<div class="ttc" id="_asserts_8h_xhtml_ac057d80e0c27881ee453299d98a878f4"><div class="ttname"><a href="_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4">ARM_COMPUTE_EXPECT_EQUAL</a></div><div class="ttdeci">#define ARM_COMPUTE_EXPECT_EQUAL(X, Y, LEVEL)</div><div class="ttdef"><b>Definition:</b> <a href="_asserts_8h_source.xhtml#l00104">Asserts.h:104</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_i_accessor_xhtml_a1c5e120ea2712b21296aa8f62421d3c1"><div class="ttname"><a href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1">arm_compute::test::IAccessor::shape</a></div><div class="ttdeci">virtual TensorShape shape() const =0</div><div class="ttdoc">Shape of the tensor. </div></div>
-<div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml_a0c875a3203d902e2ad6bc3045355e69e"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a0c875a3203d902e2ad6bc3045355e69e">arm_compute::test::RawTensor::format</a></div><div class="ttdeci">Format format() const </div><div class="ttdoc">Image format of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8cpp_source.xhtml#l00107">RawTensor.cpp:107</a></div></div>
-<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdef"><b>Definition:</b> <a href="01__library_8dox_source.xhtml#l00001">01_library.dox:1</a></div></div>
+<div class="ttc" id="_asserts_8h_xhtml_ac498e3dc31f8819519a9497b2d5789c1"><div class="ttname"><a href="_asserts_8h.xhtml#ac498e3dc31f8819519a9497b2d5789c1">ARM_COMPUTE_TEST_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_TEST_INFO(INFO)</div><div class="ttdef"><b>Definition:</b> <a href="_asserts_8h_source.xhtml#l00065">Asserts.h:65</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 U32 per channel </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::Format::S32</a></div><div class="ttdoc">1 channel, 1 U16 per channel </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">arm_compute::DataType::S64</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00090">MinMaxLocation.cpp:90</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">arm_compute::DataType::SIZET</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::Format::U32</a></div><div class="ttdoc">1 channel, 1 S32 per channel </div></div>
-<div class="ttc" id="_type_printer_8h_xhtml"><div class="ttname"><a href="_type_printer_8h.xhtml">TypePrinter.h</a></div></div>
-<div class="ttc" id="arm__compute_2core_2_fixed_point_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_fixed_point_8h.xhtml">FixedPoint.h</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa5930677af602cee147919968acaca59"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa5930677af602cee147919968acaca59">arm_compute::test::validation::compare_dimensions</a></div><div class="ttdeci">boost::test_tools::predicate_result compare_dimensions(const Dimensions< T > &dimensions1, const Dimensions< T > &dimensions2)</div><div class="ttdef"><b>Definition:</b> <a href="_validation_8h_source.xhtml#l00045">Validation.h:45</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a670cba074b4be0bf9af03e48250bd616"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a670cba074b4be0bf9af03e48250bd616">arm_compute::test::shape_to_valid_region</a></div><div class="ttdeci">ValidRegion shape_to_valid_region(TensorShape shape)</div><div class="ttdoc">Create a valid region covering the enitre tensor shape. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00452">Utils.h:452</a></div></div>
<div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item. </div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_a1521eea74b97de8f2df9304e44179400"><div class="ttname"><a href="namespacearm__compute.xhtml#a1521eea74b97de8f2df9304e44179400">arm_compute::qint16_t</a></div><div class="ttdeci">int16_t qint16_t</div><div class="ttdoc">16 bit fixed point scalar value </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_fixed_point_8h_source.xhtml#l00030">FixedPoint.h:30</a></div></div>
<div class="ttc" id="_error_8h_xhtml"><div class="ttname"><a href="_error_8h.xhtml">Error.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_i_accessor_xhtml_a7596bc2928432a0ac2271bc9184d692e"><div class="ttname"><a href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e">arm_compute::test::IAccessor::num_elements</a></div><div class="ttdeci">virtual int num_elements() const =0</div><div class="ttdoc">Number of elements of the tensor. </div></div>
-<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a24d8c0391cfa38e78969b6ad97c0ff09"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">arm_compute::test::index2coord</a></div><div class="ttdeci">Coordinates index2coord(const TensorShape &shape, int index)</div><div class="ttdoc">Convert a linear index into n-dimensional coordinates. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00611">Utils.h:611</a></div></div>
-<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_a05374b750b0fc472c34ee61e6f028bba"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">arm_compute::BorderSize::left</a></div><div class="ttdeci">unsigned int left</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00198">Types.h:198</a></div></div>
-<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_a78b0fed184c642b78f32fd34b228a5f9"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">arm_compute::BorderSize::right</a></div><div class="ttdeci">unsigned int right</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00196">Types.h:196</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a24d8c0391cfa38e78969b6ad97c0ff09"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">arm_compute::test::index2coord</a></div><div class="ttdeci">Coordinates index2coord(const TensorShape &shape, int index)</div><div class="ttdoc">Convert a linear index into n-dimensional coordinates. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00308">Utils.h:308</a></div></div>
+<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_a05374b750b0fc472c34ee61e6f028bba"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">arm_compute::BorderSize::left</a></div><div class="ttdeci">unsigned int left</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00203">Types.h:203</a></div></div>
+<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_a78b0fed184c642b78f32fd34b228a5f9"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">arm_compute::BorderSize::right</a></div><div class="ttdeci">unsigned int right</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00201">Types.h:201</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::Format::S16</a></div><div class="ttdoc">1 channel, 1 U8 per channel </div></div>
+<div class="ttc" id="_asserts_8h_xhtml_a83bf33add9b97f6897b7b3db2766dd27"><div class="ttname"><a href="_asserts_8h.xhtml#a83bf33add9b97f6897b7b3db2766dd27">ARM_COMPUTE_ASSERT</a></div><div class="ttdeci">#define ARM_COMPUTE_ASSERT(X)</div><div class="ttdef"><b>Definition:</b> <a href="_asserts_8h_source.xhtml#l00110">Asserts.h:110</a></div></div>
+<div class="ttc" id="hwc_8hpp_xhtml_ad487ce76e40f524a7f5e350763b91ae5"><div class="ttname"><a href="hwc_8hpp.xhtml#ad487ce76e40f524a7f5e350763b91ae5">padding</a></div><div class="ttdeci">uint8_t padding[4]</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00265">hwc.hpp:265</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a4c3f681c30c9398c45bc3cd5dc4f038a"><div class="ttname"><a href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">arm_compute::qint8_t</a></div><div class="ttdeci">int8_t qint8_t</div><div class="ttdoc">8 bit fixed point scalar value </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_fixed_point_8h_source.xhtml#l00029">FixedPoint.h:29</a></div></div>
<div class="ttc" id="_coordinates_8h_xhtml"><div class="ttname"><a href="_coordinates_8h.xhtml">Coordinates.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a0f59f175e7682c7ed5f4ea30ef687834"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">arm_compute::Dimensions::num_dimensions</a></div><div class="ttdeci">unsigned int num_dimensions() const </div><div class="ttdoc">Returns the effective dimensionality of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00109">Dimensions.h:109</a></div></div>
@@ -164,31 +473,30 @@
<div class="ttc" id="namespacearm__compute_xhtml_a15a05537a472ee742404821851529327a0db45d2a4141101bdfe48e3314cfbca3"><div class="ttname"><a href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a0db45d2a4141101bdfe48e3314cfbca3">arm_compute::BorderMode::UNDEFINED</a></div><div class="ttdoc">Borders are left undefined. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a15a05537a472ee742404821851529327a4ef59320fbe90fe47d40f1f71e4c5daa"><div class="ttname"><a href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a4ef59320fbe90fe47d40f1f71e4c5daa">arm_compute::BorderMode::REPLICATE</a></div><div class="ttdoc">Pixels outside the image are assumed to have the same value as the closest image pixel. </div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_i_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_i_accessor.xhtml">arm_compute::test::IAccessor</a></div><div class="ttdoc">Common interface to provide information and access to tensor like structures. </div><div class="ttdef"><b>Definition:</b> <a href="_i_accessor_8h_source.xhtml#l00037">IAccessor.h:37</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7730e17dc901bdffefcf45b08bab135f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">arm_compute::test::validation::validate</a></div><div class="ttdeci">void validate(const arm_compute::ValidRegion &region, const arm_compute::ValidRegion &reference)</div><div class="ttdoc">Validate valid regions. </div><div class="ttdef"><b>Definition:</b> <a href="_validation_8cpp_source.xhtml#l00166">Validation.cpp:166</a></div></div>
-<div class="ttc" id="classarm__compute_1_1test_1_1_i_accessor_xhtml_aa459796b5489eca8a9160cb5dcf1a103"><div class="ttname"><a href="classarm__compute_1_1test_1_1_i_accessor.xhtml#aa459796b5489eca8a9160cb5dcf1a103">arm_compute::test::IAccessor::element_size</a></div><div class="ttdeci">virtual size_t element_size() const =0</div><div class="ttdoc">Size of each element in the tensor in bytes. </div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_aca1fd1d8935433e6ba2e3918214e07f9adc30ec20708ef7b0f641ef78b7880a15"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9adc30ec20708ef7b0f641ef78b7880a15">arm_compute::test::framework::LogLevel::DEBUG</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7730e17dc901bdffefcf45b08bab135f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f">arm_compute::test::validation::validate</a></div><div class="ttdeci">void validate(const arm_compute::ValidRegion &region, const arm_compute::ValidRegion &reference)</div><div class="ttdoc">Validate valid regions. </div><div class="ttdef"><b>Definition:</b> <a href="_validation_8cpp_source.xhtml#l00149">Validation.cpp:149</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a15a05537a472ee742404821851529327a8d6b5cada83510220f59e00ce86d4d92"><div class="ttname"><a href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a8d6b5cada83510220f59e00ce86d4d92">arm_compute::BorderMode::CONSTANT</a></div><div class="ttdoc">Pixels outside the image are assumed to have a constant value. </div></div>
<div class="ttc" id="_validation_8h_xhtml"><div class="ttname"><a href="_validation_8h.xhtml">Validation.h</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">arm_compute::test::framework::LogLevel::ERRORS</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">arm_compute::DataType::F64</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ae115fc750a92fb6a5e094998b56fcc56"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ae115fc750a92fb6a5e094998b56fcc56">arm_compute::test::fixed_point_arithmetic::detail::abs</a></div><div class="ttdeci">fixed_point< T > abs(fixed_point< T > x)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00905">FixedPoint.h:905</a></div></div>
-<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a></div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00088">Types.h:88</a></div></div>
-<div class="ttc" id="_raw_tensor_8h_xhtml"><div class="ttname"><a href="_raw_tensor_8h.xhtml">RawTensor.h</a></div></div>
+<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a></div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00093">Types.h:93</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_i_accessor_xhtml_ac492280ef2d7889f1226d34743b74459"><div class="ttname"><a href="classarm__compute_1_1test_1_1_i_accessor.xhtml#ac492280ef2d7889f1226d34743b74459">arm_compute::test::IAccessor::num_channels</a></div><div class="ttdeci">virtual int num_channels() const =0</div><div class="ttdoc">Number of channels of the tensor. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">arm_compute::DataType::U64</a></div></div>
-<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00060">Types.h:60</a></div></div>
-<div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml_ab5fe769d05a0f7dfee63972bdbd54261"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#ab5fe769d05a0f7dfee63972bdbd54261">arm_compute::test::RawTensor::num_elements</a></div><div class="ttdeci">int num_elements() const </div><div class="ttdoc">Number of elements of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8cpp_source.xhtml#l00143">RawTensor.cpp:143</a></div></div>
+<div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
+<div class="ttc" id="runtime_2_tensor_8h_xhtml"><div class="ttname"><a href="runtime_2_tensor_8h.xhtml">Tensor.h</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00064">Types.h:64</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">arm_compute::DataType::S8</a></div></div>
-<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml_a55a69b397082accd94221dd10b722cf7"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">arm_compute::ValidRegion::anchor</a></div><div class="ttdeci">Coordinates anchor</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00118">Types.h:118</a></div></div>
+<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml_a55a69b397082accd94221dd10b722cf7"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">arm_compute::ValidRegion::anchor</a></div><div class="ttdeci">Coordinates anchor</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00123">Types.h:123</a></div></div>
<div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div>
-<div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml_a45cc7b9a37aa9f0e7d479248a27e1f58"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a45cc7b9a37aa9f0e7d479248a27e1f58">arm_compute::test::RawTensor::data_type</a></div><div class="ttdeci">DataType data_type() const </div><div class="ttdoc">Data type of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8cpp_source.xhtml#l00112">RawTensor.cpp:112</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_59425e443f801f1f2fd8bbe4959a3ccf.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_e7c7b16542faa38cb4655ff1750d3604.xhtml">validation</a></li><li class="navelem"><a class="el" href="_validation_8cpp.xhtml">Validation.cpp</a></li>
- <li class="footer">Generated on Fri Jun 23 2017 15:44:34 for Compute Library by
+ <li class="navelem"><a class="el" href="dir_3b4cc335dce0408d77b688e575522aa5.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_a54a3db5b521d39f12dbe18362fe1216.xhtml">validation</a></li><li class="navelem"><a class="el" href="_validation_8cpp.xhtml">Validation.cpp</a></li>
+ <li class="footer">Generated on Thu Sep 28 2017 14:37:52 for Compute Library by
<a href="http://www.doxygen.org/index.html">
- <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6 </li>
</ul>
</div>
</body>