diff options
| author | Nikhil Raj <nikhil.raj@arm.com> | 2021-11-17 13:16:45 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2021-11-17 13:16:45 +0000 |
| commit | 9aed8fb43441228343b925b42464a55042c47ca0 (patch) | |
| tree | 4c34534eea1c8e82655ac1f60e3633b9618cc40d /21.11/armnn_tf_lite_parser_2test_2_batch_to_space_n_d_8cpp.xhtml | |
| parent | f86be93b7492b381370cae7bf71eca8572a0cbae (diff) | |
| download | armnn-9aed8fb43441228343b925b42464a55042c47ca0.tar.gz | |
IVGCVSW-6040 Update 21.11 Doxygen Documents
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ia36ec98c4bebc27a69103911ea3409cd7db587a5
Diffstat (limited to '21.11/armnn_tf_lite_parser_2test_2_batch_to_space_n_d_8cpp.xhtml')
| -rw-r--r-- | 21.11/armnn_tf_lite_parser_2test_2_batch_to_space_n_d_8cpp.xhtml | 150 |
1 files changed, 150 insertions, 0 deletions
diff --git a/21.11/armnn_tf_lite_parser_2test_2_batch_to_space_n_d_8cpp.xhtml b/21.11/armnn_tf_lite_parser_2test_2_batch_to_space_n_d_8cpp.xhtml new file mode 100644 index 0000000000..79a60f01a9 --- /dev/null +++ b/21.11/armnn_tf_lite_parser_2test_2_batch_to_space_n_d_8cpp.xhtml @@ -0,0 +1,150 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/armnnTfLiteParser/test/BatchToSpaceND.cpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">21.11</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('armnn_tf_lite_parser_2test_2_batch_to_space_n_d_8cpp.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="summary"> +<a href="#func-members">Functions</a> </div> + <div class="headertitle"> +<div class="title">BatchToSpaceND.cpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_parser_flatbuffers_fixture_8hpp_source.xhtml">ParserFlatbuffersFixture.hpp</a>"</code><br /> +</div> +<p><a href="armnn_tf_lite_parser_2test_2_batch_to_space_n_d_8cpp_source.xhtml">Go to the source code of this file.</a></p> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> +Functions</h2></td></tr> +<tr class="memitem:a17558b62c1146f289ca1a2436bdc2920"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="armnn_tf_lite_parser_2test_2_batch_to_space_n_d_8cpp.xhtml#a17558b62c1146f289ca1a2436bdc2920">TEST_SUITE</a> ("TensorflowLiteParser_BatchToSpaceND")</td></tr> +<tr class="separator:a17558b62c1146f289ca1a2436bdc2920"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a17558b62c1146f289ca1a2436bdc2920"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a17558b62c1146f289ca1a2436bdc2920">◆ </a></span>TEST_SUITE()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">TEST_SUITE </td> + <td>(</td> + <td class="paramtype">"TensorflowLiteParser_BatchToSpaceND" </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="armnn_tf_lite_parser_2test_2_batch_to_space_n_d_8cpp_source.xhtml#l00009">9</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_batch_to_space_n_d_8cpp_source.xhtml">BatchToSpaceND.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00064">ParserFlatbuffersFixture::Setup()</a>, and <a class="el" href="_mem_copy_tests_8cpp_source.xhtml#l00045">TEST_CASE_FIXTURE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> {</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="keyword">struct </span>BatchToSpaceNDFixture : <span class="keyword">public</span> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml">ParserFlatbuffersFixture</a></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> {</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  <span class="keyword">explicit</span> BatchToSpaceNDFixture(<span class="keyword">const</span> std::string & inputShape,</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  <span class="keyword">const</span> std::string & outputShape,</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  <span class="keyword">const</span> std::string & blockShapeData,</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <span class="keyword">const</span> std::string & cropsData)</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  {</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  m_JsonString = R<span class="stringliteral">"(</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="stringliteral"> "version": 3,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="stringliteral"> "operator_codes": [ { "builtin_code": "BATCH_TO_SPACE_ND" } ],</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="stringliteral"> "subgraphs": [ {</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="stringliteral"> "tensors": [</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="stringliteral"> "shape": )" + inputShape + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="stringliteral"> "type": "FLOAT32",</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="stringliteral"> "buffer": 0,</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="stringliteral"> "name": "inputTensor",</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="stringliteral"> "shape": )" + outputShape + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="stringliteral"> "type": "FLOAT32",</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="stringliteral"> "buffer": 1,</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="stringliteral"> "name": "outputTensor",</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="stringliteral"> "shape": [ 2 ],</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="stringliteral"> "type": "INT32",</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="stringliteral"> "buffer": 2,</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="stringliteral"> "name": "blockShapeTensor",</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="stringliteral"> "shape": [ 2, 2 ],</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="stringliteral"> "type": "INT32",</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="stringliteral"> "buffer": 3,</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="stringliteral"> "name": "cropsTensor",</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="stringliteral"> "inputs": [ 0 ],</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="stringliteral"> "outputs": [ 1 ],</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="stringliteral"> "operators": [</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="stringliteral"> "opcode_index": 0,</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="stringliteral"> "inputs": [ 0, 2, 3 ],</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="stringliteral"> "outputs": [ 1 ],</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="stringliteral"> "custom_options_format": "FLEXBUFFERS"</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="stringliteral"> } ],</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="stringliteral"> "buffers" : [</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="stringliteral"> { },</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="stringliteral"> { },</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="stringliteral"> { "data": )" + blockShapeData + R</span><span class="stringliteral">"(, },</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="stringliteral"> { "data": )" + cropsData + R</span><span class="stringliteral">"(, },</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="stringliteral"> ]</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="stringliteral"> )";</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="stringliteral"> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a30fe33b872259560a868fc9b94195ec0">Setup</a>();</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="stringliteral">};</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="stringliteral"></span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="stringliteral"></span><span class="keyword">struct </span>BatchToSpaceNDFixtureTest1 : <span class="keyword">public</span> BatchToSpaceNDFixture</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>  BatchToSpaceNDFixtureTest1() : BatchToSpaceNDFixture(<span class="stringliteral">"[ 4, 2, 2, 1 ]"</span>,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="stringliteral">"[ 1, 4, 4, 1 ]"</span>,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="stringliteral">"[ 2,0,0,0, 2,0,0,0 ]"</span>,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="stringliteral">"[ 0,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]"</span>) {}</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> };</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(BatchToSpaceNDFixtureTest1, <span class="stringliteral">"BatchToSpaceNDTest1"</span>)</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  RunTest<4, armnn::DataType::Float32></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  (0,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  {{ <span class="stringliteral">"inputTensor"</span>, { <span class="comment">// Batch 0, Height 0, Width (2) x Channel (1)</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  1.0f, 3.0f,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// Batch 0, Height 1, Width (2) x Channel (1)</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  9.0f, 11.0f,</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>  <span class="comment">// Batch 1, Height 0, Width (2) x Channel (1)</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  2.0f, 4.0f,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="comment">// Batch 1, Height 1, Width (2) x Channel (1)</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  10.0f, 12.0f,</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="comment">// Batch 2, Height 0, Width (2) x Channel (1)</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  5.0f, 7.0f,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// Batch 2, Height 1, Width (2) x Channel (1)</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  13.0f, 15.0f,</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="comment">// Batch 3, Height 0, Width (2) x Channel (3)</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  6.0f, 8.0f,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="comment">// Batch 3, Height 1, Width (2) x Channel (1)</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  14.0f, 16.0f }}},</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  {{ <span class="stringliteral">"outputTensor"</span>, { 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  9.0f, 10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  13.0f, 14.0f, 15.0f, 16.0f }}});</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> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="keyword">struct </span>BatchToSpaceNDFixtureTest2 : <span class="keyword">public</span> BatchToSpaceNDFixture</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>  BatchToSpaceNDFixtureTest2() : BatchToSpaceNDFixture(<span class="stringliteral">"[ 4, 1, 1, 1 ]"</span>,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="stringliteral">"[ 1, 2, 2, 1 ]"</span>,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="stringliteral">"[ 2,0,0,0, 2,0,0,0 ]"</span>,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="stringliteral">"[ 0,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]"</span>) {}</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> };</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(BatchToSpaceNDFixtureTest2, <span class="stringliteral">"ParseBatchToSpaceNDTest2"</span>)</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>  RunTest<4, armnn::DataType::Float32></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  (0,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  {{ <span class="stringliteral">"inputTensor"</span>, { 1.0f, 2.0f, 3.0f, 4.0f }}},</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  {{ <span class="stringliteral">"outputTensor"</span>, { <span class="comment">// Batch 0, Height 0, Width (2) x Channel (1)</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  1.0f, 2.0f, 3.0f, 4.0f }}});</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> }</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="keyword">struct </span>BatchToSpaceNDFixtureTest3 : <span class="keyword">public</span> BatchToSpaceNDFixture</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>  BatchToSpaceNDFixtureTest3() : BatchToSpaceNDFixture(<span class="stringliteral">"[ 4, 1, 1, 3 ]"</span>,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="stringliteral">"[ 1, 2, 2, 3 ]"</span>,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="stringliteral">"[ 2,0,0,0, 2,0,0,0 ]"</span>,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="stringliteral">"[ 0,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]"</span>) {}</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> };</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(BatchToSpaceNDFixtureTest3, <span class="stringliteral">"ParseBatchToSpaceNDTest3"</span>)</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>  RunTest<4, armnn::DataType::Float32></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  (0,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  {{ <span class="stringliteral">"inputTensor"</span>, { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f }}},</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  {{ <span class="stringliteral">"outputTensor"</span>, { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f }}});</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> }</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> }</div><div class="ttc" id="struct_parser_flatbuffers_fixture_xhtml"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.xhtml">ParserFlatbuffersFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00036">ParserFlatbuffersFixture.hpp:36</a></div></div> +<div class="ttc" id="_mem_copy_tests_8cpp_xhtml_a3df1acc0ccc35bce0bd6c027e23e2c45"><div class="ttname"><a href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a></div><div class="ttdeci">TEST_CASE_FIXTURE(ClContextControlFixture, "CopyBetweenNeonAndGpu")</div><div class="ttdef"><b>Definition:</b> <a href="_mem_copy_tests_8cpp_source.xhtml#l00045">MemCopyTests.cpp:45</a></div></div> +<div class="ttc" id="struct_parser_flatbuffers_fixture_xhtml_a30fe33b872259560a868fc9b94195ec0"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.xhtml#a30fe33b872259560a868fc9b94195ec0">ParserFlatbuffersFixture::Setup</a></div><div class="ttdeci">void Setup(bool testDynamic=true)</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00064">ParserFlatbuffersFixture.hpp:64</a></div></div> +</div><!-- fragment --> +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_510324e450b9df55f9aac2d01fae83d8.xhtml">armnnTfLiteParser</a></li><li class="navelem"><a class="el" href="dir_6d8d07609c57029a35488d2120e28fbd.xhtml">test</a></li><li class="navelem"><a class="el" href="armnn_tf_lite_parser_2test_2_batch_to_space_n_d_8cpp.xhtml">BatchToSpaceND.cpp</a></li> + <li class="footer">Generated on Wed Nov 17 2021 12:59:37 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |