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diff --git a/20.02/_elementwise_test_impl_8hpp_source.xhtml b/20.02/_elementwise_test_impl_8hpp_source.xhtml new file mode 100644 index 0000000000..ce687f6d24 --- /dev/null +++ b/20.02/_elementwise_test_impl_8hpp_source.xhtml @@ -0,0 +1,140 @@ +<!-- 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/backends/backendsCommon/test/layerTests/ElementwiseTestImpl.hpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">20.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('_elementwise_test_impl_8hpp_source.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="headertitle"> +<div class="title">ElementwiseTestImpl.hpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_elementwise_test_impl_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_layer_test_result_8hpp.xhtml">LayerTestResult.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a>></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="preprocessor">#include <<a class="code" href="include_2armnn_2backends_2_i_backend_internal_8hpp.xhtml">armnn/backends/IBackendInternal.hpp</a>></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_workload_8hpp.xhtml">backendsCommon/Workload.hpp</a>></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_8hpp.xhtml">backendsCommon/WorkloadData.hpp</a>></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <<a class="code" href="_workload_factory_8hpp.xhtml">backendsCommon/WorkloadFactory.hpp</a>></span></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> <span class="preprocessor">#include <<a class="code" href="_data_type_utils_8hpp.xhtml">backendsCommon/test/DataTypeUtils.hpp</a>></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <<a class="code" href="_tensor_copy_utils_8hpp.xhtml">backendsCommon/test/TensorCopyUtils.hpp</a>></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include <<a class="code" href="_workload_test_utils_8hpp.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>></span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include <<a class="code" href="_tensor_helpers_8hpp.xhtml">test/TensorHelpers.hpp</a>></span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include <memory></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="keyword">template</span><<span class="keyword">typename</span> DescriptorType></div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9"> 27</a></span> std::unique_ptr<armnn::IWorkload> <a class="code" href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a>(</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a>& info,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">const</span> DescriptorType& descriptor)</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="keywordflow">return</span> <a class="code" href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a>(workloadFactory, info, descriptor);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> }</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">template</span> <std::size_t NumDims,</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">typename</span> Descriptor,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnTypeInput,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnTypeOutput,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">typename</span> TInput = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType<ArmnnTypeInput></a>,</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">typename</span> TOutput = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType<ArmnnTypeOutput></a>></div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="_elementwise_test_impl_8hpp.xhtml#af2a138d3236f0fa3382d2380203c7422"> 41</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<TOutput, NumDims></a> <a class="code" href="_elementwise_test_impl_8hpp.xhtml#af2a138d3236f0fa3382d2380203c7422">ElementwiseTestHelper</a>(</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & workloadFactory,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & memoryManager,</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[NumDims],</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  std::vector<TInput> values0,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordtype">float</span> quantScale0,</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordtype">int</span> quantOffset0,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[NumDims],</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  std::vector<TInput> values1,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordtype">float</span> quantScale1,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordtype">int</span> quantOffset1,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outShape[NumDims],</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  std::vector<TOutput> outValues,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordtype">float</span> outQuantScale,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordtype">int</span> outQuantOffset)</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo0{NumDims, shape0, ArmnnTypeInput};</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo1{NumDims, shape1, ArmnnTypeInput};</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo{NumDims, outShape, ArmnnTypeOutput};</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="keyword">auto</span> input0 = MakeTensor<TInput, NumDims>(inputTensorInfo0, values0);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">auto</span> input1 = MakeTensor<TInput, NumDims>(inputTensorInfo1, values1);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  inputTensorInfo0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(quantScale0);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  inputTensorInfo0.SetQuantizationOffset(quantOffset0);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  inputTensorInfo1.SetQuantizationScale(quantScale1);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  inputTensorInfo1.SetQuantizationOffset(quantOffset1);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  outputTensorInfo.SetQuantizationScale(outQuantScale);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  outputTensorInfo.SetQuantizationOffset(outQuantOffset);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<TOutput, NumDims></a> ret(outputTensorInfo);</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>  <span class="keywordflow">if</span>(ArmnnTypeOutput == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>)</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  {</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  ret.<a class="code" href="struct_layer_test_result.xhtml#acf486f22af9761356425ade095f8a7fe">compareBoolean</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  }</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo0);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</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>  Descriptor data;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> info;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get());</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">auto</span> workload = CreateWorkload<Descriptor>(workloadFactory, info, data);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  inputHandle0->Allocate();</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  inputHandle1->Allocate();</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  outputHandle->Allocate();</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>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle0.get(), input0.origin());</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), input1.origin());</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>  workload->PostAllocationConfigure();</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  ExecuteWorkload(*workload, memoryManager);</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>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(ret.<a class="code" href="struct_layer_test_result.xhtml#ac9d44d346bb7c89f7a7aa31d2bee947f">output</a>.origin(), outputHandle.get());</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>  ret.<a class="code" href="struct_layer_test_result.xhtml#a73610ea6c776cc66e5a78dd842a39b8b">outputExpected</a> = MakeTensor<TOutput, NumDims>(outputTensorInfo, outValues);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">return</span> ret;</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> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="keyword">template</span> <std::size_t NumDims,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keyword">typename</span> Descriptor,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnType,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keyword">typename</span> T = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType<ArmnnType></a>></div><div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="_elementwise_test_impl_8hpp.xhtml#a65833679c4ddda377d1f2c95389808a4"> 111</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, NumDims></a> <a class="code" href="_elementwise_test_impl_8hpp.xhtml#af2a138d3236f0fa3382d2380203c7422">ElementwiseTestHelper</a>(</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & workloadFactory,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & memoryManager,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[NumDims],</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  std::vector<T> values0,</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordtype">float</span> quantScale0,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordtype">int</span> quantOffset0,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[NumDims],</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  std::vector<T> values1,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordtype">float</span> quantScale1,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordtype">int</span> quantOffset1,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outShape[NumDims],</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  std::vector<T> outValues,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordtype">float</span> outQuantScale,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordtype">int</span> outQuantOffset)</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>  <span class="keywordflow">return</span> ElementwiseTestHelper<NumDims, Descriptor, ArmnnType, ArmnnType>(</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  workloadFactory,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  memoryManager,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  shape0,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  values0,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  quantScale0,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  quantOffset0,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  shape1,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  values1,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  quantScale1,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  quantOffset1,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  outShape,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  outValues,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  outQuantScale,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  outQuantOffset);</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> <span class="keyword">template</span> <std::size_t NumDims,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">typename</span> Descriptor,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnTypeInput,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnTypeOutput,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keyword">typename</span> TInput = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType<ArmnnTypeInput></a>,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">typename</span> TOutput = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType<ArmnnTypeOutput></a>></div><div class="line"><a name="l00150"></a><span class="lineno"><a class="line" href="_elementwise_test_impl_8hpp.xhtml#acc683a96d637d00c3a28119fcc7ed3f0"> 150</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<TOutput, NumDims></a> <a class="code" href="_elementwise_test_impl_8hpp.xhtml#af2a138d3236f0fa3382d2380203c7422">ElementwiseTestHelper</a>(</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & workloadFactory,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & memoryManager,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[NumDims],</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  std::vector<TInput> values0,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[NumDims],</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  std::vector<TInput> values1,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outShape[NumDims],</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  std::vector<TOutput> outValues,</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordtype">float</span> quantScale = 1.0f,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordtype">int</span> quantOffset = 0)</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> {</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<NumDims, Descriptor, ArmnnTypeInput, ArmnnTypeOutput>(</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  workloadFactory,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  memoryManager,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  shape0,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  values0,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  quantScale,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  quantOffset,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  shape1,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  values1,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  quantScale,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  quantOffset,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  outShape,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  outValues,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  quantScale,</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  quantOffset);</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> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="keyword">template</span> <std::size_t NumDims,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">typename</span> Descriptor,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnType,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keyword">typename</span> T = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType<ArmnnType></a>></div><div class="line"><a name="l00183"></a><span class="lineno"><a class="line" href="_elementwise_test_impl_8hpp.xhtml#ae3e9f3ec2911d5199086c488b6627578"> 183</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, NumDims></a> <a class="code" href="_elementwise_test_impl_8hpp.xhtml#af2a138d3236f0fa3382d2380203c7422">ElementwiseTestHelper</a>(</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & workloadFactory,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & memoryManager,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[NumDims],</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  std::vector<T> values0,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[NumDims],</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  std::vector<T> values1,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outShape[NumDims],</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  std::vector<T> outValues,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordtype">float</span> quantScale = 1.0f,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordtype">int</span> quantOffset = 0)</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">return</span> ElementwiseTestHelper<NumDims, Descriptor, ArmnnType, ArmnnType>(</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  workloadFactory,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  memoryManager,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  shape0,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  values0,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  shape1,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  values1,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  outShape,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  outValues,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  quantScale,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  quantOffset);</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> }</div><div class="ttc" id="_workload_data_8hpp_xhtml"><div class="ttname"><a href="_workload_data_8hpp.xhtml">WorkloadData.hpp</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8hpp_xhtml"><div class="ttname"><a href="_tensor_copy_utils_8hpp.xhtml">TensorCopyUtils.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml_acf486f22af9761356425ade095f8a7fe"><div class="ttname"><a href="struct_layer_test_result.xhtml#acf486f22af9761356425ade095f8a7fe">LayerTestResult::compareBoolean</a></div><div class="ttdeci">bool compareBoolean</div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00043">LayerTestResult.hpp:43</a></div></div> +<div class="ttc" id="_elementwise_test_impl_8hpp_xhtml_ab6921db5d86507f5b126af1cc516adb9"><div class="ttname"><a href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a></div><div class="ttdeci">std::unique_ptr< armnn::IWorkload > CreateWorkload(const armnn::IWorkloadFactory &workloadFactory, const armnn::WorkloadInfo &info, const DescriptorType &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_test_impl_8hpp_source.xhtml#l00027">ElementwiseTestImpl.hpp:27</a></div></div> +<div class="ttc" id="_workload_factory_8hpp_xhtml"><div class="ttname"><a href="_workload_factory_8hpp.xhtml">WorkloadFactory.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00021">WorkloadFactory.hpp:21</a></div></div> +<div class="ttc" id="_workload_test_utils_8hpp_xhtml"><div class="ttname"><a href="_workload_test_utils_8hpp.xhtml">WorkloadTestUtils.hpp</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml_a73610ea6c776cc66e5a78dd842a39b8b"><div class="ttname"><a href="struct_layer_test_result.xhtml#a73610ea6c776cc66e5a78dd842a39b8b">LayerTestResult::outputExpected</a></div><div class="ttdeci">boost::multi_array< T, n > outputExpected</div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a0743ed5e860c316a20b68ca96301b411"><div class="ttname"><a href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a></div><div class="ttdeci">typename ResolveTypeImpl< DT >::Type ResolveType</div><div class="ttdef"><b>Definition:</b> <a href="_resolve_type_8hpp_source.xhtml#l00073">ResolveType.hpp:73</a></div></div> +<div class="ttc" id="_resolve_type_8hpp_xhtml"><div class="ttname"><a href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a></div></div> +<div class="ttc" id="_layer_test_result_8hpp_xhtml"><div class="ttname"><a href="_layer_test_result_8hpp.xhtml">LayerTestResult.hpp</a></div></div> +<div class="ttc" id="_tensor_helpers_8hpp_xhtml"><div class="ttname"><a href="_tensor_helpers_8hpp.xhtml">TensorHelpers.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div> +<div class="ttc" id="include_2armnn_2backends_2_i_backend_internal_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_i_backend_internal_8hpp.xhtml">IBackendInternal.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a693b40e6b94e958836aeb0410ca186bd"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a></div><div class="ttdeci">std::shared_ptr< IMemoryManager > IMemoryManagerSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml#l00090">IBackendInternal.hpp:90</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00259">Tensor.cpp:259</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div> +<div class="ttc" id="struct_layer_test_result_xhtml_ac9d44d346bb7c89f7a7aa31d2bee947f"><div class="ttname"><a href="struct_layer_test_result.xhtml#ac9d44d346bb7c89f7a7aa31d2bee947f">LayerTestResult::output</a></div><div class="ttdeci">boost::multi_array< T, n > output</div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult.hpp:40</a></div></div> +<div class="ttc" id="_workload_8hpp_xhtml"><div class="ttname"><a href="_workload_8hpp.xhtml">Workload.hpp</a></div></div> +<div class="ttc" id="_elementwise_test_impl_8hpp_xhtml_af2a138d3236f0fa3382d2380203c7422"><div class="ttname"><a href="_elementwise_test_impl_8hpp.xhtml#af2a138d3236f0fa3382d2380203c7422">ElementwiseTestHelper</a></div><div class="ttdeci">LayerTestResult< TOutput, NumDims > ElementwiseTestHelper(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const unsigned int shape0[NumDims], std::vector< TInput > values0, float quantScale0, int quantOffset0, const unsigned int shape1[NumDims], std::vector< TInput > values1, float quantScale1, int quantOffset1, const unsigned int outShape[NumDims], std::vector< TOutput > outValues, float outQuantScale, int outQuantOffset)</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_test_impl_8hpp_source.xhtml#l00041">ElementwiseTestImpl.hpp:41</a></div></div> +<div class="ttc" id="_data_type_utils_8hpp_xhtml"><div class="ttname"><a href="_data_type_utils_8hpp.xhtml">DataTypeUtils.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.xhtml">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.xhtml">layerTests</a></li><li class="navelem"><a class="el" href="_elementwise_test_impl_8hpp.xhtml">ElementwiseTestImpl.hpp</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:11 for ArmNN by + <a 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