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| 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/_cast_test_impl_8cpp_source.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/_cast_test_impl_8cpp_source.xhtml')
| -rw-r--r-- | 21.11/_cast_test_impl_8cpp_source.xhtml | 141 |
1 files changed, 141 insertions, 0 deletions
diff --git a/21.11/_cast_test_impl_8cpp_source.xhtml b/21.11/_cast_test_impl_8cpp_source.xhtml new file mode 100644 index 0000000000..e20036ef97 --- /dev/null +++ b/21.11/_cast_test_impl_8cpp_source.xhtml @@ -0,0 +1,141 @@ +<!-- 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/CastTestImpl.cpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">21.11</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(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('_cast_test_impl_8cpp_source.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="headertitle"> +<div class="title">CastTestImpl.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_cast_test_impl_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2021 Arm Ltd and Contributors. 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">#include "<a class="code" href="_cast_test_impl_8hpp.xhtml">CastTestImpl.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_elementwise_unary_test_impl_8hpp.xhtml">ElementwiseUnaryTestImpl.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="keyword">template</span><armnn::DataType inputDataType, armnn::DataType outputDataType, <span class="keyword">typename</span> TInput, <span class="keyword">typename</span> TOutput></div><div class="line"><a name="l00011"></a><span class="lineno"><a class="line" href="_cast_test_impl_8hpp.xhtml#aaddea76bf14f5d6794b7ab449d2921c7"> 11</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<TOutput, 4></a> <a class="code" href="_cast_test_impl_8cpp.xhtml#a318dca7a4745365f4922d3f47ef6bd11">CastTest</a>(<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</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="l00013"></a><span class="lineno"> 13</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  <span class="keyword">const</span> std::vector<TInput>& inputValues,</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  <span class="keyword">const</span> std::vector<TOutput>& outputValues)</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo({1, 3, 2, 3}, inputDataType);</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({1, 3, 2, 3}, outputDataType);</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keywordtype">float</span> quantizationScale = 1.0f;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  int32_t quantizationOffset = 0;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keywordflow">if</span>(armnn::IsQuantizedType<TInput>())</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  {</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(quantizationScale);</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  inputTensorInfo.SetQuantizationOffset(quantizationOffset);</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  }</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordflow">if</span>(armnn::IsQuantizedType<TOutput>())</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  {</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  outputTensorInfo.SetQuantizationScale(quantizationScale);</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  outputTensorInfo.SetQuantizationOffset(quantizationOffset);</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  }</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>  std::vector<TOutput> actualOutput(outputTensorInfo.GetNumElements());</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <a class="code" href="structarmnn_1_1_cast_queue_descriptor.xhtml">armnn::CastQueueDescriptor</a> data;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> info;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a89d2e69fd045ebe42e4a7bc17585d47e">CreateCast</a>(data, info);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  inputHandle->Allocate();</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  outputHandle->Allocate();</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), inputValues.data());</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  workload->Execute();</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(actualOutput.data(), outputHandle.get());</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">return</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<TOutput, 4></a>(actualOutput,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  outputValues,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  outputHandle->GetShape(),</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  outputTensorInfo.GetShape());</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> }</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="_cast_test_impl_8hpp.xhtml#a691dd2304549c836d178e9b5d4a55aa6"> 61</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_cast_test_impl_8cpp.xhtml#a691dd2304549c836d178e9b5d4a55aa6">CastInt32ToFloat2dTest</a>(<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</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="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> {</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  std::vector<int32_t> inputValues = { -1, -3, -1, -3, -1, -3, -1, -3, 1,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  std::vector<float> outputValues = { -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  3.0f, 1.0f, 3.0f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::Signed32, armnn::DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  outputValues);</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> </div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="_cast_test_impl_8hpp.xhtml#a840625ec1da2ef60821e3eb6953a984b"> 74</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_cast_test_impl_8cpp.xhtml#a840625ec1da2ef60821e3eb6953a984b">CastInt16ToFloat2dTest</a>(<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</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="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</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>  std::vector<int16_t> inputValues = { -1, -3, -1, -3, -1, -3, -1, -3, 1,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  std::vector<float> outputValues = { -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  3.0f, 1.0f, 3.0f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::QSymmS16, armnn::DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  outputValues);</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"><a class="line" href="_cast_test_impl_8hpp.xhtml#a1128795c9ffd454dfd8027d3a520eb29"> 87</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_cast_test_impl_8cpp.xhtml#a1128795c9ffd454dfd8027d3a520eb29">CastInt8ToFloat2dTest</a>(<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</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="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</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>  std::vector<int8_t> inputValues = { -1, -3, -1, -3, -1, -3, -1, -3, 1,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  std::vector<float> outputValues = { -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  3.0f, 1.0f, 3.0f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::QSymmS8, armnn::DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  outputValues);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="_cast_test_impl_8hpp.xhtml#a3e3dc07649eeeac0f021236865f96779"> 100</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_cast_test_impl_8cpp.xhtml#a3e3dc07649eeeac0f021236865f96779">CastInt8AsymmToFloat2dTest</a>(<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</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="l00102"></a><span class="lineno"> 102</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</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>  std::vector<int8_t> inputValues = { -1, -3, -1, -3, -1, -3, -1, -3, 1,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  std::vector<float> outputValues = { -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  3.0f, 1.0f, 3.0f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::QAsymmS8, armnn::DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  tensorHandleFactory, inputValues, outputValues);</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"><a class="line" href="_cast_test_impl_8hpp.xhtml#ac5e6424c44f13abf965e2f374d689eee"> 112</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_cast_test_impl_8cpp.xhtml#ac5e6424c44f13abf965e2f374d689eee">CastUInt8ToFloat2dTest</a>(<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> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</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>  std::vector<uint8_t> inputValues = { 1, 3, 1, 3, 1, 3, 1, 3, 1,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  std::vector<float> outputValues = { 1.0f, 3.0f, 1.0f, 3.0f, 1.0f, 3.0f, 1.0f, 3.0f, 1.0f,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  3.0f, 1.0f, 3.0f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::QAsymmU8, armnn::DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  outputValues);</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> </div><div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="_cast_test_impl_8hpp.xhtml#a8ad5f6969a59c8a6c8439b42ce674d80"> 125</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_cast_test_impl_8cpp.xhtml#a8ad5f6969a59c8a6c8439b42ce674d80">CastInt8ToUInt82dTest</a>(<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</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="l00127"></a><span class="lineno"> 127</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  std::vector<int8_t> inputValues = { -1, -3, -1, -3, -1, -3, -1, -3, -1,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  std::vector<uint8_t> outputValues = { 0, 0, 0, 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::QSymmS8, armnn::DataType::QAsymmU8>(workloadFactory, memoryManager,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  outputValues);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> }</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="_cast_test_impl_8hpp.xhtml#a5255b2881c2007b022bd410b83436422"> 138</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_cast_test_impl_8cpp.xhtml#a5255b2881c2007b022bd410b83436422">CastInt8AsymmToUInt82dTest</a>(<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</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="l00140"></a><span class="lineno"> 140</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</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>  std::vector<int8_t> inputValues = { -1, -3, -1, -3, -1, -3, -1, -3, -1,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  std::vector<uint8_t> outputValues = { 0, 0, 0, 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::QAsymmS8, armnn::DataType::QAsymmU8>(workloadFactory, memoryManager,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  outputValues);</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> </div><div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="_cast_test_impl_8hpp.xhtml#af50afce22a8d9eb696d6126eb90a2db7"> 151</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_cast_test_impl_8cpp.xhtml#af50afce22a8d9eb696d6126eb90a2db7">CastFloat16ToFloat322dTest</a>(<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> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> {</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keyword">using namespace </span>half_float::literal;</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>  std::vector<armnn::Half> inputValues = { -1.10_h, -3._h, -1.30_h, -3._h, -1._h, -3._h, -1._h, -3._h, 1._h,</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  3.10_h, 1._h, 3.30_h, 1._h, 2._h, 1._h, 3._h, 1._h, 3._h };</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  std::vector<float> outputValues = { -1.1f, -3.0f, -1.3f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  3.1f, 1.0f, 3.3f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::Float16, armnn::DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  outputValues);</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"><a class="line" href="_cast_test_impl_8hpp.xhtml#afa3e5ba80cf8692ecf2812ce6b3761e4"> 166</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_cast_test_impl_8cpp.xhtml#afa3e5ba80cf8692ecf2812ce6b3761e4">CastBFloat16ToFloat322dTest</a>(<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</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="l00168"></a><span class="lineno"> 168</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> {</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  std::vector<armnn::BFloat16> inputValues = armnnUtils::QuantizedVector<armnn::BFloat16>(</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  {</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  },</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  1.0f, 0);</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>  std::vector<float> outputValues = { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f };</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::BFloat16, armnn::DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  tensorHandleFactory, inputValues, outputValues);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> }</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00186"></a><span class="lineno"><a class="line" href="_cast_test_impl_8hpp.xhtml#a090e2c60689b6dd2d2146fff35d378a3"> 186</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::Half, 4></a> <a class="code" href="_cast_test_impl_8cpp.xhtml#a090e2c60689b6dd2d2146fff35d378a3">CastFloat32ToFloat162dTest</a>(</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</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="l00189"></a><span class="lineno"> 189</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> {</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keyword">using namespace </span>half_float::literal;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  std::vector<float> inputValues = { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  0.00000004f, 3.4E38f, 300.0f, 0.5f, 1.3f, 1.5f, 2.1E4f, 8.76f, 15.2f, 37.5f };</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  std::vector<armnn::Half> outputValues = {-37.50_h, -15.20_h, -8.76_h, -2._h, -1.50_h, -1.30_h, -0.50_h, -0.40_h,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  0._h, 6.55E4_h, 300._h, 0.50_h, 1.30_h, 1.50_h, 2.1E4_h, 8.76_h, 15.20_h, 37.50_h};</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::Float32, armnn::DataType::Float16>(workloadFactory, memoryManager,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  outputValues);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> }</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div><div class="line"><a name="l00203"></a><span class="lineno"><a class="line" href="_cast_test_impl_8hpp.xhtml#a6157c7e979f65ccf17bf5e6ff9d93a33"> 203</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<int8_t , 4></a> <a class="code" href="_cast_test_impl_8cpp.xhtml#a6157c7e979f65ccf17bf5e6ff9d93a33">CastFloat32ToInt82dTest</a>(</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</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="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> {</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  std::vector<float> inputValues = { -1.0f, -3.5f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  3.1f, 1.5f, 3.9f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  std::vector<int8_t> outputValues = { -1, -3, -1, -3, -1, -3, -1, -3, 1,</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::Float32, armnn::DataType::QAsymmS8>(workloadFactory, memoryManager,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  outputValues);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> }</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> </div><div class="line"><a name="l00217"></a><span class="lineno"><a class="line" href="_cast_test_impl_8hpp.xhtml#a27ecf1a3c70a4a5c8a19759864ba0e83"> 217</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t , 4></a> <a class="code" href="_cast_test_impl_8cpp.xhtml#a27ecf1a3c70a4a5c8a19759864ba0e83">CastFloat32ToUInt82dTest</a>(</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</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="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  std::vector<float> inputValues = { -1.0f, -3.5f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  3.1f, 1.5f, 3.9f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  std::vector<uint8_t> outputValues = { 0, 0, 0, 0, 0, 0, 0, 0, 1,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::Float32, armnn::DataType::QAsymmU8>(workloadFactory, memoryManager,</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  outputValues);</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> }</div><div class="ttc" id="structarmnn_1_1_cast_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_cast_queue_descriptor.xhtml">armnn::CastQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00158">WorkloadData.hpp:158</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="classarmnn_1_1_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#l00022">WorkloadFactory.hpp:22</a></div></div> +<div class="ttc" id="_cast_test_impl_8cpp_xhtml_a691dd2304549c836d178e9b5d4a55aa6"><div class="ttname"><a href="_cast_test_impl_8cpp.xhtml#a691dd2304549c836d178e9b5d4a55aa6">CastInt32ToFloat2dTest</a></div><div class="ttdeci">LayerTestResult< float, 4 > CastInt32ToFloat2dTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_cast_test_impl_8cpp_source.xhtml#l00061">CastTestImpl.cpp:61</a></div></div> +<div class="ttc" id="_cast_test_impl_8hpp_xhtml"><div class="ttname"><a href="_cast_test_impl_8hpp.xhtml">CastTestImpl.hpp</a></div></div> +<div class="ttc" id="_cast_test_impl_8cpp_xhtml_ac5e6424c44f13abf965e2f374d689eee"><div class="ttname"><a href="_cast_test_impl_8cpp.xhtml#ac5e6424c44f13abf965e2f374d689eee">CastUInt8ToFloat2dTest</a></div><div class="ttdeci">LayerTestResult< float, 4 > CastUInt8ToFloat2dTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_cast_test_impl_8cpp_source.xhtml#l00112">CastTestImpl.cpp:112</a></div></div> +<div class="ttc" id="_cast_test_impl_8cpp_xhtml_a6157c7e979f65ccf17bf5e6ff9d93a33"><div class="ttname"><a href="_cast_test_impl_8cpp.xhtml#a6157c7e979f65ccf17bf5e6ff9d93a33">CastFloat32ToInt82dTest</a></div><div class="ttdeci">LayerTestResult< int8_t, 4 > CastFloat32ToInt82dTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_cast_test_impl_8cpp_source.xhtml#l00203">CastTestImpl.cpp:203</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a89d2e69fd045ebe42e4a7bc17585d47e"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a89d2e69fd045ebe42e4a7bc17585d47e">armnn::IWorkloadFactory::CreateCast</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateCast(const CastQueueDescriptor &descriptor, const WorkloadInfo &Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01537">WorkloadFactory.cpp:1537</a></div></div> +<div class="ttc" id="_cast_test_impl_8cpp_xhtml_a1128795c9ffd454dfd8027d3a520eb29"><div class="ttname"><a href="_cast_test_impl_8cpp.xhtml#a1128795c9ffd454dfd8027d3a520eb29">CastInt8ToFloat2dTest</a></div><div class="ttdeci">LayerTestResult< float, 4 > CastInt8ToFloat2dTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_cast_test_impl_8cpp_source.xhtml#l00087">CastTestImpl.cpp:87</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="_i_backend_internal_8hpp_source.xhtml#l00099">IBackendInternal.hpp:99</a></div></div> +<div class="ttc" id="_cast_test_impl_8cpp_xhtml_af50afce22a8d9eb696d6126eb90a2db7"><div class="ttname"><a href="_cast_test_impl_8cpp.xhtml#af50afce22a8d9eb696d6126eb90a2db7">CastFloat16ToFloat322dTest</a></div><div class="ttdeci">LayerTestResult< float, 4 > CastFloat16ToFloat322dTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_cast_test_impl_8cpp_source.xhtml#l00151">CastTestImpl.cpp:151</a></div></div> +<div class="ttc" id="_cast_test_impl_8cpp_xhtml_a8ad5f6969a59c8a6c8439b42ce674d80"><div class="ttname"><a href="_cast_test_impl_8cpp.xhtml#a8ad5f6969a59c8a6c8439b42ce674d80">CastInt8ToUInt82dTest</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > CastInt8ToUInt82dTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_cast_test_impl_8cpp_source.xhtml#l00125">CastTestImpl.cpp:125</a></div></div> +<div class="ttc" id="_elementwise_unary_test_impl_8hpp_xhtml"><div class="ttname"><a href="_elementwise_unary_test_impl_8hpp.xhtml">ElementwiseUnaryTestImpl.hpp</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#l00475">Tensor.cpp:475</a></div></div> +<div class="ttc" id="_cast_test_impl_8cpp_xhtml_a5255b2881c2007b022bd410b83436422"><div class="ttname"><a href="_cast_test_impl_8cpp.xhtml#a5255b2881c2007b022bd410b83436422">CastInt8AsymmToUInt82dTest</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > CastInt8AsymmToUInt82dTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_cast_test_impl_8cpp_source.xhtml#l00138">CastTestImpl.cpp:138</a></div></div> +<div class="ttc" id="_cast_test_impl_8cpp_xhtml_a840625ec1da2ef60821e3eb6953a984b"><div class="ttname"><a href="_cast_test_impl_8cpp.xhtml#a840625ec1da2ef60821e3eb6953a984b">CastInt16ToFloat2dTest</a></div><div class="ttdeci">LayerTestResult< float, 4 > CastInt16ToFloat2dTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_cast_test_impl_8cpp_source.xhtml#l00074">CastTestImpl.cpp:74</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="_cast_test_impl_8cpp_xhtml_a27ecf1a3c70a4a5c8a19759864ba0e83"><div class="ttname"><a href="_cast_test_impl_8cpp.xhtml#a27ecf1a3c70a4a5c8a19759864ba0e83">CastFloat32ToUInt82dTest</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > CastFloat32ToUInt82dTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_cast_test_impl_8cpp_source.xhtml#l00217">CastTestImpl.cpp:217</a></div></div> +<div class="ttc" id="_cast_test_impl_8cpp_xhtml_a318dca7a4745365f4922d3f47ef6bd11"><div class="ttname"><a href="_cast_test_impl_8cpp.xhtml#a318dca7a4745365f4922d3f47ef6bd11">CastTest</a></div><div class="ttdeci">LayerTestResult< TOutput, 4 > CastTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory, const std::vector< TInput > &inputValues, const std::vector< TOutput > &outputValues)</div><div class="ttdef"><b>Definition:</b> <a href="_cast_test_impl_8cpp_source.xhtml#l00011">CastTestImpl.cpp:11</a></div></div> +<div class="ttc" id="_cast_test_impl_8cpp_xhtml_a3e3dc07649eeeac0f021236865f96779"><div class="ttname"><a href="_cast_test_impl_8cpp.xhtml#a3e3dc07649eeeac0f021236865f96779">CastInt8AsymmToFloat2dTest</a></div><div class="ttdeci">LayerTestResult< float, 4 > CastInt8AsymmToFloat2dTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_cast_test_impl_8cpp_source.xhtml#l00100">CastTestImpl.cpp:100</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00042">ITensorHandleFactory.hpp:42</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 TensorInfos of 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#l00015">LayerTestResult.hpp:15</a></div></div> +<div class="ttc" id="_cast_test_impl_8cpp_xhtml_a090e2c60689b6dd2d2146fff35d378a3"><div class="ttname"><a href="_cast_test_impl_8cpp.xhtml#a090e2c60689b6dd2d2146fff35d378a3">CastFloat32ToFloat162dTest</a></div><div class="ttdeci">LayerTestResult< armnn::Half, 4 > CastFloat32ToFloat162dTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_cast_test_impl_8cpp_source.xhtml#l00186">CastTestImpl.cpp:186</a></div></div> +<div class="ttc" id="_cast_test_impl_8cpp_xhtml_afa3e5ba80cf8692ecf2812ce6b3761e4"><div class="ttname"><a href="_cast_test_impl_8cpp.xhtml#afa3e5ba80cf8692ecf2812ce6b3761e4">CastBFloat16ToFloat322dTest</a></div><div class="ttdeci">LayerTestResult< float, 4 > CastBFloat16ToFloat322dTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_cast_test_impl_8cpp_source.xhtml#l00166">CastTestImpl.cpp:166</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0</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><!-- 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