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author | Nikhil Raj <nikhil.raj@arm.com> | 2022-06-17 13:24:58 +0100 |
---|---|---|
committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-06-17 13:24:58 +0100 |
commit | d5d43d82c0137e08553e44345c609cdd1a7931c7 (patch) | |
tree | f1509f7fa94db0373a2c127682dd3d0ccc1915bd /22.05.01/armnn_onnx_parser_2test_2_gather_8cpp.xhtml | |
parent | 549b9600a6eaf0727fa084465a75f173edf8f381 (diff) | |
download | armnn-d5d43d82c0137e08553e44345c609cdd1a7931c7.tar.gz |
Update Doxygen for 22.05 patch release
* Pooling3D added to tfLite delegate
* Available in tag 22.05.01
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I8d605bba4e87d30baa2c6d7b338c78a4400dc021
Diffstat (limited to '22.05.01/armnn_onnx_parser_2test_2_gather_8cpp.xhtml')
-rw-r--r-- | 22.05.01/armnn_onnx_parser_2test_2_gather_8cpp.xhtml | 152 |
1 files changed, 152 insertions, 0 deletions
diff --git a/22.05.01/armnn_onnx_parser_2test_2_gather_8cpp.xhtml b/22.05.01/armnn_onnx_parser_2test_2_gather_8cpp.xhtml new file mode 100644 index 0000000000..ee4a96a5f9 --- /dev/null +++ b/22.05.01/armnn_onnx_parser_2test_2_gather_8cpp.xhtml @@ -0,0 +1,152 @@ +<!-- 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/armnnOnnxParser/test/Gather.cpp File Reference</title> +<link href="tabs.css" rel="stylesheet" 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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_onnx_parser_2test_2_gather_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">Gather.cpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_i_onnx_parser_8hpp_source.xhtml">armnnOnnxParser/IOnnxParser.hpp</a>"</code><br /> +<code>#include "<a class="el" href="_parser_prototxt_fixture_8hpp_source.xhtml">ParserPrototxtFixture.hpp</a>"</code><br /> +<code>#include "<a class="el" href="_onnx_parser_test_utils_8hpp_source.xhtml">OnnxParserTestUtils.hpp</a>"</code><br /> +</div> +<p><a href="armnn_onnx_parser_2test_2_gather_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:a4e38eda0a4aa06843309586ef735d97d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="armnn_onnx_parser_2test_2_gather_8cpp.xhtml#a4e38eda0a4aa06843309586ef735d97d">TEST_SUITE</a> ("OnnxParser_Gather")</td></tr> +<tr class="separator:a4e38eda0a4aa06843309586ef735d97d"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a4e38eda0a4aa06843309586ef735d97d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4e38eda0a4aa06843309586ef735d97d">◆ </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">"OnnxParser_Gather" </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_onnx_parser_2test_2_gather_8cpp_source.xhtml#l00010">10</a> of file <a class="el" href="armnn_onnx_parser_2test_2_gather_8cpp_source.xhtml">Gather.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_onnx_parser_test_utils_8cpp_source.xhtml#l00013">armnnUtils::ConstructTensorShapeString()</a>, and <a class="el" href="_mem_copy_tests_8cpp_source.xhtml#l00089">TEST_CASE_FIXTURE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> {</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">struct </span>GatherMainFixture : <span class="keyword">public</span> <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml">armnnUtils::ParserPrototxtFixture</a><armnnOnnxParser::IOnnxParser></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> {</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  GatherMainFixture(<span class="keyword">const</span> std::vector<int>& indicesShape,</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <span class="keyword">const</span> std::vector<int>& indices,</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="keyword">const</span> std::vector<int>& inputShape,</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">const</span> std::vector<int>& outputShape)</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  m_Prototext = R<span class="stringliteral">"(</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="stringliteral"> ir_version: 8</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="stringliteral"> producer_name: "onnx-example"</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="stringliteral"> graph {</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="stringliteral"> node {</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="stringliteral"> output: "indices"</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="stringliteral"> op_type: "Constant"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="stringliteral"> attribute {</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="stringliteral"> name: "value"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="stringliteral"> t {</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="stringliteral"> data_type: 7</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="stringliteral"> )" + ConstructIndicesString(indicesShape, indices) + R</span><span class="stringliteral">"(</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="stringliteral"> name: "value"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="stringliteral"> type: TENSOR</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"> node {</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="stringliteral"> input: "input"</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="stringliteral"> input: "indices"</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="stringliteral"> output: "output"</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="stringliteral"> op_type: "Gather"</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="stringliteral"> attribute {</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="stringliteral"> name: "axis"</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="stringliteral"> i: 0</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="stringliteral"> type: INT</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"> name: "gather-model"</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="stringliteral"> input {</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="stringliteral"> name: "input"</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="stringliteral"> type {</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="stringliteral"> tensor_type {</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="stringliteral"> elem_type: 1</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="stringliteral"> shape {</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="stringliteral"> )" + <a class="code" href="namespacearmnn_utils.xhtml#a98d44e19d84d59e129721628a46de7ae">armnnUtils::ConstructTensorShapeString</a>(inputShape) + R</span><span class="stringliteral">"(</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="stringliteral"> }</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"> output {</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="stringliteral"> name: "output"</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="stringliteral"> type {</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="stringliteral"> tensor_type {</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="stringliteral"> elem_type: 1</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="stringliteral"> shape {</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="stringliteral"> )" + <a class="code" href="namespacearmnn_utils.xhtml#a98d44e19d84d59e129721628a46de7ae">armnnUtils::ConstructTensorShapeString</a>(outputShape) + R</span><span class="stringliteral">"(</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="stringliteral"> }</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"> std::string ConstructIndicesString(</span><span class="keyword">const</span> std::vector<int>& indicesShape, <span class="keyword">const</span> std::vector<int>& indices)</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  std::string shapeStr;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i : indicesShape)</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  shapeStr = fmt::format(<span class="stringliteral">" {} dims: {}"</span>, shapeStr, i);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i : indices)</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  shapeStr = fmt::format(<span class="stringliteral">" {} int64_data: {}"</span>, shapeStr, i);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  }</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">return</span> shapeStr;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> };</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="keyword">struct </span>GatherScalarFixture : GatherMainFixture</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> {</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  GatherScalarFixture() : GatherMainFixture({ }, { 0 }, { 8 }, { })</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>  Setup();</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> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="keyword">struct </span>Gather1dFixture : GatherMainFixture</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>  Gather1dFixture() : GatherMainFixture({ 4 }, { 0, 2, 1, 5 }, { 8 }, { 4 })</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  Setup();</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> };</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> <span class="keyword">struct </span>Gather2dFixture : GatherMainFixture</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>  Gather2dFixture() : GatherMainFixture({ 3 }, { 1, 3, 4 }, { 5, 2 }, { 3, 2 })</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>  Setup();</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  }</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> </div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="keyword">struct </span>Gather3dMultiIndicesFixture : GatherMainFixture</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>  Gather3dMultiIndicesFixture() : GatherMainFixture({ 2, 3 }, { 1, 2, 1, 2, 1, 0 }, { 3, 2, 3 }, { 2, 3, 2, 3 })</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>  Setup();</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> };</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> <span class="keyword">struct </span>Gather4dFixture : GatherMainFixture</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>  Gather4dFixture() : GatherMainFixture({ 3 }, { 0, 1, 3 }, { 5, 4, 3, 2 }, { 3, 4, 3, 2 })</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  {</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  Setup();</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> };</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> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(GatherScalarFixture, <span class="stringliteral">"GatherScalarTest"</span>)</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>  RunTest<1, float>({{<span class="stringliteral">"input"</span>, { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f }}},</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  {{<span class="stringliteral">"output"</span>, { 1.0f }}});</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> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(Gather1dFixture, <span class="stringliteral">"Gather1dTest"</span>)</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> {</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  RunTest<1, float>({{<span class="stringliteral">"input"</span>, { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f }}},</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  {{<span class="stringliteral">"output"</span>, { 1.0f, 3.0f, 2.0f, 6.0f }}});</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</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> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(Gather2dFixture, <span class="stringliteral">"Gather2dTest"</span>)</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> {</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  RunTest<2, float>({{<span class="stringliteral">"input"</span>, { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f }}},</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  {{<span class="stringliteral">"output"</span>, { 3.0f, 4.0f, 7.0f, 8.0f, 9.0f, 10.0f }}});</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> }</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> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(Gather3dMultiIndicesFixture, <span class="stringliteral">"Gather3dMultiIndicesTest"</span>)</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> {</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  RunTest<3, float>({{<span class="stringliteral">"input"</span>, { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f }}},</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  {{<span class="stringliteral">"output"</span>, { 7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  13.0f, 14.0f, 15.0f,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  16.0f, 17.0f, 18.0f,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  13.0f, 14.0f, 15.0f,</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  16.0f, 17.0f, 18.0f,</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  1.0f, 2.0f, 3.0f,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  4.0f, 5.0f, 6.0f }}});</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"> 165</span> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(Gather4dFixture, <span class="stringliteral">"Gather4dTest"</span>)</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>  RunTest<4, float>({{<span class="stringliteral">"input"</span>, { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  6.0f, 7.0f, 8.0f, 9.0f, 10.0f,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  11.0f, 12.0f, 13.0f, 14.0f, 15.0f,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  16.0f, 17.0f, 18.0f, 19.0f, 20.0f,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  21.0f, 22.0f, 23.0f, 24.0f, 25.0f,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  26.0f, 27.0f, 28.0f, 29.0f, 30.0f,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  31.0f, 32.0f, 33.0f, 34.0f, 35.0f,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  36.0f, 37.0f, 38.0f, 39.0f, 40.0f,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  41.0f, 42.0f, 43.0f, 44.0f, 45.0f,</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  46.0f, 47.0f, 48.0f, 49.0f, 50.0f,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  51.0f, 52.0f, 53.0f, 54.0f, 55.0f,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  56.0f, 57.0f, 58.0f, 59.0f, 60.0f,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  61.0f, 62.0f, 63.0f, 64.0f, 65.0f,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  66.0f, 67.0f, 68.0f, 69.0f, 70.0f,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  71.0f, 72.0f, 73.0f, 74.0f, 75.0f,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  76.0f, 77.0f, 78.0f, 79.0f, 80.0f,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  81.0f, 82.0f, 83.0f, 84.0f, 85.0f,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  86.0f, 87.0f, 88.0f, 89.0f, 90.0f,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  91.0f, 92.0f, 93.0f, 94.0f, 95.0f,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  96.0f, 97.0f, 98.0f, 99.0f, 100.0f,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  101.0f, 102.0f, 103.0f, 104.0f, 105.0f,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  106.0f, 107.0f, 108.0f, 109.0f, 110.0f,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  111.0f, 112.0f, 113.0f, 114.0f, 115.0f,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  116.0f, 117.0f, 118.0f, 119.0f, 120.0f }}},</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  {{<span class="stringliteral">"output"</span>, { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f }}});</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> }</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> </div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> <span class="keyword">struct </span>GatherRawDataFixture : <span class="keyword">public</span> <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml">armnnUtils::ParserPrototxtFixture</a><armnnOnnxParser::IOnnxParser></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>  GatherRawDataFixture()</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>  m_Prototext = R<span class="stringliteral">"(</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> <span class="stringliteral"> ir_version: 8</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="stringliteral"> producer_name: "onnx-example"</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="stringliteral"> graph {</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> <span class="stringliteral"> node {</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <span class="stringliteral"> output: "indices"</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> <span class="stringliteral"> op_type: "Constant"</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="stringliteral"> attribute {</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> <span class="stringliteral"> name: "value"</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> <span class="stringliteral"> t {</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> <span class="stringliteral"> dims: 3</span></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="stringliteral"> data_type: 7</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="stringliteral"> raw_data:</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="stringliteral"> "\000\000\000\000\000\000\000\000\001\000\000\000\000\000\000\000\003\000\000\000\000\000\000\000"</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <span class="stringliteral"> name: "value"</span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> <span class="stringliteral"> type: TENSOR</span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> <span class="stringliteral"> node {</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> <span class="stringliteral"> input: "input"</span></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="stringliteral"> input: "indices"</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <span class="stringliteral"> output: "output"</span></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> <span class="stringliteral"> op_type: "Gather"</span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> <span class="stringliteral"> attribute {</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> <span class="stringliteral"> name: "axis"</span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <span class="stringliteral"> i: 0</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="stringliteral"> type: INT</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> <span class="stringliteral"> name: "gather-model"</span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> <span class="stringliteral"> input {</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> <span class="stringliteral"> name: "input"</span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> <span class="stringliteral"> type {</span></div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> <span class="stringliteral"> tensor_type {</span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> <span class="stringliteral"> elem_type: 1</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> <span class="stringliteral"> shape {</span></div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> <span class="stringliteral"> dim_value: 5</span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> <span class="stringliteral"> dim_value: 4</span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> <span class="stringliteral"> dim_value: 3</span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="stringliteral"> dim_value: 2</span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> <span class="stringliteral"> output {</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> <span class="stringliteral"> name: "output"</span></div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> <span class="stringliteral"> type {</span></div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> <span class="stringliteral"> tensor_type {</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> <span class="stringliteral"> elem_type: 1</span></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> <span class="stringliteral"> shape {</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="stringliteral"> dim_value: 3</span></div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> <span class="stringliteral"> dim_value: 4</span></div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> <span class="stringliteral"> dim_value: 3</span></div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="stringliteral"> dim_value: 2</span></div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> <span class="stringliteral"> })";</span></div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> <span class="stringliteral"> Setup();</span></div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> <span class="stringliteral">};</span></div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> <span class="stringliteral"></span></div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> <span class="stringliteral"><a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(GatherRawDataFixture, </span><span class="stringliteral">"GatherRawDataTest"</span>)</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>  RunTest<4, float>({{<span class="stringliteral">"input"</span>, { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  6.0f, 7.0f, 8.0f, 9.0f, 10.0f,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  11.0f, 12.0f, 13.0f, 14.0f, 15.0f,</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  16.0f, 17.0f, 18.0f, 19.0f, 20.0f,</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  21.0f, 22.0f, 23.0f, 24.0f, 25.0f,</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  26.0f, 27.0f, 28.0f, 29.0f, 30.0f,</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  31.0f, 32.0f, 33.0f, 34.0f, 35.0f,</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  36.0f, 37.0f, 38.0f, 39.0f, 40.0f,</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  41.0f, 42.0f, 43.0f, 44.0f, 45.0f,</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  46.0f, 47.0f, 48.0f, 49.0f, 50.0f,</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  51.0f, 52.0f, 53.0f, 54.0f, 55.0f,</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  56.0f, 57.0f, 58.0f, 59.0f, 60.0f,</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  61.0f, 62.0f, 63.0f, 64.0f, 65.0f,</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  66.0f, 67.0f, 68.0f, 69.0f, 70.0f,</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  71.0f, 72.0f, 73.0f, 74.0f, 75.0f,</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  76.0f, 77.0f, 78.0f, 79.0f, 80.0f,</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  81.0f, 82.0f, 83.0f, 84.0f, 85.0f,</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  86.0f, 87.0f, 88.0f, 89.0f, 90.0f,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  91.0f, 92.0f, 93.0f, 94.0f, 95.0f,</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  96.0f, 97.0f, 98.0f, 99.0f, 100.0f,</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  101.0f, 102.0f, 103.0f, 104.0f, 105.0f,</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  106.0f, 107.0f, 108.0f, 109.0f, 110.0f,</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  111.0f, 112.0f, 113.0f, 114.0f, 115.0f,</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  116.0f, 117.0f, 118.0f, 119.0f, 120.0f }}},</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  {{<span class="stringliteral">"output"</span>, { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f,</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f,</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f,</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f,</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f,</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f,</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f,</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f,</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f,</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f }}});</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> </div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> }</div><div class="ttc" id="namespacearmnn_utils_xhtml_a98d44e19d84d59e129721628a46de7ae"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a98d44e19d84d59e129721628a46de7ae">armnnUtils::ConstructTensorShapeString</a></div><div class="ttdeci">std::string ConstructTensorShapeString(const std::vector< int > &shape)</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_test_utils_8cpp_source.xhtml#l00013">OnnxParserTestUtils.cpp:13</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#l00089">MemCopyTests.cpp:89</a></div></div> +<div class="ttc" id="structarmnn_utils_1_1_parser_prototxt_fixture_xhtml"><div class="ttname"><a href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml">armnnUtils::ParserPrototxtFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_parser_prototxt_fixture_8hpp_source.xhtml#l00024">ParserPrototxtFixture.hpp:24</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_29e3193d5087607956cb928081b12830.xhtml">armnnOnnxParser</a></li><li class="navelem"><a class="el" href="dir_14b0222e5488316bb30ce89add6c280e.xhtml">test</a></li><li class="navelem"><a class="el" href="armnn_onnx_parser_2test_2_gather_8cpp.xhtml">Gather.cpp</a></li> + <li class="footer">Generated on Fri Jun 17 2022 13:20:25 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> |