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diff --git a/20.02/_cl_layer_support_8cpp_source.xhtml b/20.02/_cl_layer_support_8cpp_source.xhtml new file mode 100644 index 0000000000..23a2b89caa --- /dev/null +++ b/20.02/_cl_layer_support_8cpp_source.xhtml @@ -0,0 +1,322 @@ +<!-- 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/cl/ClLayerSupport.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"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">20.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(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('_cl_layer_support_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">ClLayerSupport.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_cl_layer_support_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 © 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">#include "<a class="code" href="_cl_layer_support_8hpp.xhtml">ClLayerSupport.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_cl_backend_id_8hpp.xhtml">ClBackendId.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> <span class="preprocessor">#include <<a class="code" href="_ignore_unused_8hpp.xhtml">armnn/utility/IgnoreUnused.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_descriptors_8hpp.xhtml">armnn/Descriptors.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_backend_registry_8hpp.xhtml">armnn/BackendRegistry.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="_internal_types_8hpp.xhtml">InternalTypes.hpp</a>></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_layer_support_common_8hpp.xhtml">LayerSupportCommon.hpp</a>></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_utils_8hpp.xhtml">aclCommon/ArmComputeUtils.hpp</a>></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_tensor_utils_8hpp.xhtml">aclCommon/ArmComputeTensorUtils.hpp</a>></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include "<a class="code" href="_cl_abs_workload_8hpp.xhtml">workloads/ClAbsWorkload.hpp</a>"</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include "<a class="code" href="_cl_addition_workload_8hpp.xhtml">workloads/ClAdditionWorkload.hpp</a>"</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include "<a class="code" href="_cl_activation_workload_8hpp.xhtml">workloads/ClActivationWorkload.hpp</a>"</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include "<a class="code" href="_cl_arg_min_max_workload_8hpp.xhtml">workloads/ClArgMinMaxWorkload.hpp</a>"</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include "<a class="code" href="_cl_batch_normalization_float_workload_8hpp.xhtml">workloads/ClBatchNormalizationFloatWorkload.hpp</a>"</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="_cl_batch_to_space_nd_workload_8hpp.xhtml">workloads/ClBatchToSpaceNdWorkload.hpp</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="_cl_convert_fp16_to_fp32_workload_8hpp.xhtml">workloads/ClConvertFp16ToFp32Workload.hpp</a>"</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="_cl_convert_fp32_to_fp16_workload_8hpp.xhtml">workloads/ClConvertFp32ToFp16Workload.hpp</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_cl_convolution2d_workload_8hpp.xhtml">workloads/ClConvolution2dWorkload.hpp</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_cl_depth_to_space_workload_8hpp.xhtml">workloads/ClDepthToSpaceWorkload.hpp</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_cl_depthwise_convolution_workload_8hpp.xhtml">workloads/ClDepthwiseConvolutionWorkload.hpp</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_cl_dequantize_workload_8hpp.xhtml">workloads/ClDequantizeWorkload.hpp</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_cl_division_float_workload_8hpp.xhtml">workloads/ClDivisionFloatWorkload.hpp</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_cl_floor_float_workload_8hpp.xhtml">workloads/ClFloorFloatWorkload.hpp</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="_cl_fully_connected_workload_8hpp.xhtml">workloads/ClFullyConnectedWorkload.hpp</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="_cl_greater_workload_8hpp.xhtml">workloads/ClGreaterWorkload.hpp</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="_cl_instance_normalization_workload_8hpp.xhtml">workloads/ClInstanceNormalizationWorkload.hpp</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="_cl_l2_normalization_float_workload_8hpp.xhtml">workloads/ClL2NormalizationFloatWorkload.hpp</a>"</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="_cl_lstm_float_workload_8hpp.xhtml">workloads/ClLstmFloatWorkload.hpp</a>"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include "<a class="code" href="_cl_maximum_workload_8hpp.xhtml">workloads/ClMaximumWorkload.hpp</a>"</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include "<a class="code" href="_cl_mean_workload_8hpp.xhtml">workloads/ClMeanWorkload.hpp</a>"</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include "<a class="code" href="_cl_concat_workload_8hpp.xhtml">workloads/ClConcatWorkload.hpp</a>"</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include "<a class="code" href="_cl_minimum_workload_8hpp.xhtml">workloads/ClMinimumWorkload.hpp</a>"</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include "<a class="code" href="_cl_multiplication_workload_8hpp.xhtml">workloads/ClMultiplicationWorkload.hpp</a>"</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#include "<a class="code" href="_cl_normalization_float_workload_8hpp.xhtml">workloads/ClNormalizationFloatWorkload.hpp</a>"</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="preprocessor">#include "<a class="code" href="_cl_pad_workload_8hpp.xhtml">workloads/ClPadWorkload.hpp</a>"</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="preprocessor">#include "<a class="code" href="_cl_permute_workload_8hpp.xhtml">workloads/ClPermuteWorkload.hpp</a>"</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="preprocessor">#include "<a class="code" href="_cl_pooling2d_workload_8hpp.xhtml">workloads/ClPooling2dWorkload.hpp</a>"</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor">#include "<a class="code" href="_cl_prelu_workload_8hpp.xhtml">workloads/ClPreluWorkload.hpp</a>"</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="preprocessor">#include "<a class="code" href="_cl_reshape_workload_8hpp.xhtml">workloads/ClReshapeWorkload.hpp</a>"</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="preprocessor">#include "<a class="code" href="_cl_resize_workload_8hpp.xhtml">workloads/ClResizeWorkload.hpp</a>"</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor">#include "<a class="code" href="_cl_rsqrt_workload_8hpp.xhtml">workloads/ClRsqrtWorkload.hpp</a>"</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor">#include "<a class="code" href="_cl_quantized_lstm_workload_8hpp.xhtml">workloads/ClQuantizedLstmWorkload.hpp</a>"</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="preprocessor">#include "<a class="code" href="_cl_quantize_workload_8hpp.xhtml">workloads/ClQuantizeWorkload.hpp</a>"</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="preprocessor">#include "<a class="code" href="_cl_slice_workload_8hpp.xhtml">workloads/ClSliceWorkload.hpp</a>"</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="preprocessor">#include "<a class="code" href="_cl_softmax_base_workload_8hpp.xhtml">workloads/ClSoftmaxBaseWorkload.hpp</a>"</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="preprocessor">#include "<a class="code" href="_cl_space_to_batch_nd_workload_8hpp.xhtml">workloads/ClSpaceToBatchNdWorkload.hpp</a>"</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="preprocessor">#include "<a class="code" href="_cl_space_to_depth_workload_8hpp.xhtml">workloads/ClSpaceToDepthWorkload.hpp</a>"</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="preprocessor">#include "<a class="code" href="_cl_splitter_workload_8hpp.xhtml">workloads/ClSplitterWorkload.hpp</a>"</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="preprocessor">#include "<a class="code" href="_cl_stack_workload_8hpp.xhtml">workloads/ClStackWorkload.hpp</a>"</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor">#include "<a class="code" href="_cl_strided_slice_workload_8hpp.xhtml">workloads/ClStridedSliceWorkload.hpp</a>"</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="preprocessor">#include "<a class="code" href="_cl_subtraction_workload_8hpp.xhtml">workloads/ClSubtractionWorkload.hpp</a>"</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="preprocessor">#include "<a class="code" href="_cl_transpose_convolution2d_workload_8hpp.xhtml">workloads/ClTransposeConvolution2dWorkload.hpp</a>"</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="preprocessor">#include "<a class="code" href="_cl_transpose_workload_8hpp.xhtml">workloads/ClTransposeWorkload.hpp</a>"</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="preprocessor">#endif</span></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> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="keyword">template</span><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> FilterSize></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="keywordtype">bool</span> IsMatchingSize2d(<span class="keyword">const</span> TensorInfo& weightInfo)</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="comment">// Width & Height must match.</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">return</span> (weightInfo.GetShape()[3] == FilterSize) && (weightInfo.GetShape()[2] == FilterSize);</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> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="keyword">template</span><u<span class="keywordtype">int</span>32_t Val<span class="keywordtype">id</span>Str<span class="keywordtype">id</span>e></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="keywordtype">bool</span> IsMatchingStride(uint32_t actualStride)</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span> ValidStride == actualStride;</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> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="keyword">template</span><uint32_t FirstStride, uint32_t SecondStride, uint32_t... ValidStrides></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="keywordtype">bool</span> IsMatchingStride(uint32_t actualStride)</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">return</span> IsMatchingStride<FirstStride>(actualStride) || IsMatchingStride<SecondStride, ValidStrides...>(actualStride);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> }</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="keyword">template</span><<span class="keyword">typename</span> ... Args></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="keywordtype">bool</span> IsClBackendSupported(Optional<std::string&> reasonIfUnsupported, Args... args)</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> {</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(reasonIfUnsupported, (args)...);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">if</span> (reasonIfUnsupported)</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  reasonIfUnsupported.value() = <span class="stringliteral">"The armnn library has been built without CL support"</span>;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  }</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="_cl_layer_support_8cpp.xhtml#a5cced62cc843be3b7f0614fc73d2c93b"> 107</a></span> <span class="preprocessor">#define FORWARD_CL_LAYER_SUPPORT_FUNC(expr) (expr)</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="preprocessor">#define FORWARD_CL_LAYER_SUPPORT_FUNC(expr) IsClBackendSupported(reasonIfUnsupported)</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="keyword">template</span><<span class="keyword">class </span>FuncType, <span class="keyword">class</span>... Args></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="keyword">inline</span> <span class="keywordtype">bool</span> IsWorkloadSupported(FuncType&& func, Optional<std::string&> reasonIfUnsupported, Args&&... args)</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>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> aclStatus = func(std::forward<Args>(args)...);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a> = (aclStatus.error_code() == arm_compute::ErrorCode::OK);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">if</span> (!supported && reasonIfUnsupported)</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  reasonIfUnsupported.value() = aclStatus.error_description();</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  }</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</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="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9"> 125</a></span> <span class="preprocessor">#define FORWARD_WORKLOAD_VALIDATE_FUNC(func, reasonIfUnsupported, ...) \</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="preprocessor"> return IsWorkloadSupported(func, reasonIfUnsupported, __VA_ARGS__);</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="preprocessor">#define FORWARD_WORKLOAD_VALIDATE_FUNC(func, reasonIfUnsupported, ...) \</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="preprocessor"> return IsClBackendSupported(reasonIfUnsupported, __VA_ARGS__);</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="keyword">template</span><<span class="keyword">typename</span> FloatFunc, <span class="keyword">typename</span> Uint8Func, <span class="keyword">typename</span> ... Params></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="keywordtype">bool</span> IsSupportedForDataTypeCl(Optional<std::string&> reasonIfUnsupported,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  FloatFunc floatFuncPtr,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  Uint8Func uint8FuncPtr,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  Params&&... params)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">return</span> IsClBackendSupported(reasonIfUnsupported) &&</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="namespacearmnn.xhtml#af6dbe371ec651a8e0063624fdf32afc0">IsSupportedForDataTypeGeneric</a>(reasonIfUnsupported,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  dataType,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  floatFuncPtr,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  floatFuncPtr,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  uint8FuncPtr,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  &FalseFunc<>,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  &FalseFunc<>,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  std::forward<Params>(params)...);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> }</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> } <span class="comment">// anonymous namespace</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="classarmnn_1_1_cl_layer_support.xhtml#abd7fa8c2233f8a653e30ae2f3b839d92"> 151</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#abd7fa8c2233f8a653e30ae2f3b839d92">ClLayerSupport::IsAbsSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</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_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="keyword"></span>{</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a> descriptor(<a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">UnaryOperation::Abs</a>);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a5d99bdae7b6b2d5d1243f21cd59befb8">IsElementwiseUnarySupported</a>(input, output, descriptor, reasonIfUnsupported);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> }</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#ab3adb3a28736529682e4ff0ea976dcd3"> 159</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#ab3adb3a28736529682e4ff0ea976dcd3">ClLayerSupport::IsActivationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>& descriptor,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="keyword"></span>{</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a42ef3cee193102dc7755193579209cca">ClActivationWorkloadValidate</a>,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  reasonIfUnsupported,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  input,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  output,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  descriptor);</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"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a48177e22e47448adb3d83e145dadf735"> 171</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a48177e22e47448adb3d83e145dadf735">ClLayerSupport::IsAdditionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="keyword"></span>{</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#aefc82adf365ff14b0095dafdd2df6afc">ClAdditionValidate</a>,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  reasonIfUnsupported,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  input0,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  input1,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  output);</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> </div><div class="line"><a name="l00183"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a0f4841f89f21fd794786b4c03c2425fd"> 183</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a0f4841f89f21fd794786b4c03c2425fd">ClLayerSupport::IsArgMinMaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a>& descriptor,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="keyword"></span>{</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#ab80423b306d8e0436b9a316922911d4d">ClArgMinMaxWorkloadValidate</a>,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  reasonIfUnsupported,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  input,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  output,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  descriptor);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> }</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a67c970dd054b991e14369de523ca3a5a"> 196</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a67c970dd054b991e14369de523ca3a5a">ClLayerSupport::IsBatchNormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& mean,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& var,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& beta,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& gamma,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="keyword"></span>{</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#ad6cb42ca5150bb96c151e4a4e6557d70">ClBatchNormalizationValidate</a>,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  reasonIfUnsupported,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  input,</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  output,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  mean,</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  var,</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  beta,</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  gamma,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  descriptor);</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> }</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00216"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#adc5695cc25f4055c7ed54bdc8604a098"> 216</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#adc5695cc25f4055c7ed54bdc8604a098">ClLayerSupport::IsBatchToSpaceNdSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">BatchToSpaceNdDescriptor</a>& descriptor,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="keyword"></span>{</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a67957983877fb2c720a2ad7f88c45a3c">ClBatchToSpaceNdWorkloadValidate</a>,</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  reasonIfUnsupported,</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  input,</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  output,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  descriptor);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> }</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> </div><div class="line"><a name="l00228"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#ad16b29b7f1c73187775e7b1d044d7bc0"> 228</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#ad16b29b7f1c73187775e7b1d044d7bc0">ClLayerSupport::IsComparisonSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a>& descriptor,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> <span class="keyword"></span>{</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">m_Operation</a> == <a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58ca8768a6821cd735aea4f5b0df88c1fc6a">ComparisonOperation::Greater</a>)</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  {</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#acf69869c2242e5e3741c4f9252099393">ClGreaterWorkloadValidate</a>,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  reasonIfUnsupported,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  input0,</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  input1,</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  output);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  }</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> }</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00246"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a3dca8ffbcb5f3afa1799aa7d354a3016"> 246</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a3dca8ffbcb5f3afa1799aa7d354a3016">ClLayerSupport::IsConcatSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*> inputs,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">ConcatDescriptor</a>& descriptor,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> <span class="keyword"></span>{</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>() <= descriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a379929e3b277f1ef94f3ce645870589d">GetConcatAxis</a>())</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <a class="code" href="namespacearmnn.xhtml#a13c7d751e4d37f65a6d40c3c6e50d2b8">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">"Cl Concat: Concat axis > Number of dimensions."</span>);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  }</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> concatInnerAxis = (descriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>() - descriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a379929e3b277f1ef94f3ce645870589d">GetConcatAxis</a>()) - 1;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">if</span>(concatInnerAxis < 3) <span class="comment">// Width, height, or channels</span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  {</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a7782f0809076f14363eacb4a38964b9f">ClConcatWorkloadValidate</a>,</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  reasonIfUnsupported,</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  inputs,</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  output,</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  descriptor);</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  }</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (concatInnerAxis == 3)</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  {</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="comment">// We rely on the sub-tensor optimization to handle the batch dimension for 4D tensors. If we can't use</span></div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="comment">// sub-tensors for this then we can't support it. Here is where we check that the sub-tensors will work.</span></div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& input : inputs)</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  {</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordflow">if</span> (input && !output.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a22f377fc4e10dc1773a3f979061e85f1">IsTypeSpaceMatch</a>(*input)) <span class="comment">// Cannot use sub-tensors if the types are not same space</span></div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  {</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <a class="code" href="namespacearmnn.xhtml#a13c7d751e4d37f65a6d40c3c6e50d2b8">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">"Cl Concat: Types and quantization parameters must match."</span>);</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  }</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  }</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>; <span class="comment">// Sub-tensors support concat along batch</span></div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  }</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">else</span> <span class="comment">// > 4 dimensions not supported.</span></div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  {</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <a class="code" href="namespacearmnn.xhtml#a13c7d751e4d37f65a6d40c3c6e50d2b8">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">"Cl Concat: Maximum of 4 dimensions supported."</span>);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  }</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> }</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#adf18c4fa8fc9e0cdae1967990aa90fe8"> 287</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#adf18c4fa8fc9e0cdae1967990aa90fe8">ClLayerSupport::IsConstantSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> <span class="keyword"></span>{</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">return</span> IsSupportedForDataTypeCl(reasonIfUnsupported,</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  output.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>(),</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  &TrueFunc<>,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  &TrueFunc<>);</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> }</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> </div><div class="line"><a name="l00296"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a1efcaf6f02892442fefca09f49ea3d7c"> 296</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a1efcaf6f02892442fefca09f49ea3d7c">ClLayerSupport::IsConvertFp16ToFp32Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> <span class="keyword"></span>{</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a46efae0191388fd33db4e95c5d79e2be">ClConvertFp16ToFp32WorkloadValidate</a>,</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  reasonIfUnsupported,</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  input,</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  output);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span> }</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> </div><div class="line"><a name="l00306"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a91fb5f44d8b9427dc45443aa9ebfe13e"> 306</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a91fb5f44d8b9427dc45443aa9ebfe13e">ClLayerSupport::IsConvertFp32ToFp16Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> <span class="keyword"></span>{</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a37f6946bfb7a9c7d64881b7a2e13945f">ClConvertFp32ToFp16WorkloadValidate</a>,</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  reasonIfUnsupported,</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  input,</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  output);</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> }</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span> </div><div class="line"><a name="l00316"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#af7ff06bd8115a6a9cc6d41e5c762798e"> 316</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#af7ff06bd8115a6a9cc6d41e5c762798e">ClLayerSupport::IsConvolution2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span> <span class="keyword"></span>{</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#acd1146eb56f1473a0bf4561bcc1d1529">ClConvolution2dWorkloadValidate</a>,</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  reasonIfUnsupported,</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  input,</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  output,</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  descriptor,</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  weights,</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  biases);</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> }</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> </div><div class="line"><a name="l00332"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a2e89c72cf60df7c2d2d7e5d98822b672"> 332</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a2e89c72cf60df7c2d2d7e5d98822b672">ClLayerSupport::IsDequantizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> <span class="keyword"></span>{</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a75045734c29d7d6635342c05adbc151b">ClDequantizeWorkloadValidate</a>,</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  reasonIfUnsupported,</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  input,</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  output);</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> }</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div><div class="line"><a name="l00342"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a128fb9890897e08251a3f621e570cd23"> 342</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a128fb9890897e08251a3f621e570cd23">ClLayerSupport::IsDepthToSpaceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">DepthToSpaceDescriptor</a>& descriptor,</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> <span class="keyword"></span>{</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a5634af98b603236c6748adb5ac92e766">ClDepthToSpaceWorkloadValidate</a>,</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  reasonIfUnsupported,</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  input,</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  output,</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  descriptor);</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> }</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> </div><div class="line"><a name="l00354"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#adc84390751f227fe03a115b5fa10b0fc"> 354</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#adc84390751f227fe03a115b5fa10b0fc">ClLayerSupport::IsDepthwiseConvolutionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> <span class="keyword"></span>{</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a4ec5dfcb3e419ddce1fcb3b799f312e1">ClDepthwiseConvolutionWorkloadValidate</a>,</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  reasonIfUnsupported,</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  input,</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  output,</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  descriptor,</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  weights,</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  biases);</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span> }</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> </div><div class="line"><a name="l00370"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a16c8cd49a7fa487b904b5c9cc83673e7"> 370</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a16c8cd49a7fa487b904b5c9cc83673e7">ClLayerSupport::IsDilatedDepthwiseConvolutionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> <span class="keyword"></span>{</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a4ec5dfcb3e419ddce1fcb3b799f312e1">ClDepthwiseConvolutionWorkloadValidate</a>,</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  reasonIfUnsupported,</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  input,</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  output,</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  descriptor,</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  weights,</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  biases);</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span> }</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> </div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> </div><div class="line"><a name="l00387"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a08f55136b1f0907e7083d70d719f697f"> 387</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a08f55136b1f0907e7083d70d719f697f">ClLayerSupport::IsDivisionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> <span class="keyword"></span>{</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a6a0edac987d58b405636df2eb2ee525d">ClDivisionWorkloadValidate</a>,</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  reasonIfUnsupported,</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  input0,</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  input1,</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  output);</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> }</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div><div class="line"><a name="l00399"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a5d99bdae7b6b2d5d1243f21cd59befb8"> 399</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a5d99bdae7b6b2d5d1243f21cd59befb8">ClLayerSupport::IsElementwiseUnarySupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a>& descriptor,</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span> <span class="keyword"></span>{</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">m_Operation</a> == <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">UnaryOperation::Abs</a>)</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  {</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a1391582cd6e145b67c98f3410667968e">ClAbsWorkloadValidate</a>,</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  reasonIfUnsupported,</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  input,</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  output);</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  }</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">m_Operation</a> == <a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4">UnaryOperation::Rsqrt</a>)</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  {</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a3f6f9f0d3567ae04b49ea88727845900">ClRsqrtWorkloadValidate</a>,</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  reasonIfUnsupported,</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  input,</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  output);</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  }</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> </div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> }</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> </div><div class="line"><a name="l00422"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a53c7593d1aa26207eac5d5814a9d56dc"> 422</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a53c7593d1aa26207eac5d5814a9d56dc">ClLayerSupport::IsFloorSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> <span class="keyword"></span>{</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a8874961260f35da85229554f92e16ca9">ClFloorWorkloadValidate</a>,</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  reasonIfUnsupported,</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  input,</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  output);</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span> }</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div><div class="line"><a name="l00432"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#aeaf971dd9dffd6f6bc7e5a1ae6b6af5c"> 432</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#aeaf971dd9dffd6f6bc7e5a1ae6b6af5c">ClLayerSupport::IsFullyConnectedSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& biases,</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a>& descriptor,</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span> <span class="keyword"></span>{</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a00ef2c55913f952924a3e23556655285">ClFullyConnectedWorkloadValidate</a>,</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  reasonIfUnsupported,</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  input,</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  output,</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  weights,</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  biases,</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  descriptor);</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span> }</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span> </div><div class="line"><a name="l00448"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a7303c2656e267e10252a171e8bbc1d94"> 448</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a7303c2656e267e10252a171e8bbc1d94">ClLayerSupport::IsGreaterSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span> <span class="keyword"></span>{</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a> descriptor(<a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58ca8768a6821cd735aea4f5b0df88c1fc6a">ComparisonOperation::Greater</a>);</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#ad16b29b7f1c73187775e7b1d044d7bc0">IsComparisonSupported</a>(input0, input1, output, descriptor, reasonIfUnsupported);</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> }</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span> </div><div class="line"><a name="l00457"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#ad29d99ecd719c640ed22dcf5c688c6a5"> 457</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#ad29d99ecd719c640ed22dcf5c688c6a5">ClLayerSupport::IsInputSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> <span class="keyword"></span>{</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keywordflow">return</span> IsClBackendSupported(reasonIfUnsupported, input);</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span> }</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> </div><div class="line"><a name="l00463"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a0813546a09bf2caba6794014d1960624"> 463</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a0813546a09bf2caba6794014d1960624">ClLayerSupport::IsInstanceNormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">InstanceNormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> <span class="keyword"></span>{</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a79d362f0c6e04d51807e0d81b5b05f3a">ClInstanceNormalizationWorkloadValidate</a>,</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  reasonIfUnsupported,</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  input,</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  output,</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  descriptor);</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> }</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span> </div><div class="line"><a name="l00475"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#aca4acda7ab553edfda828658d8f3882b"> 475</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#aca4acda7ab553edfda828658d8f3882b">ClLayerSupport::IsL2NormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span> <span class="keyword"></span>{</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#aef334cdb24000c330f4d2e5f1b384784">ClL2NormalizationWorkloadValidate</a>,</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  reasonIfUnsupported,</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  input,</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  output,</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  descriptor);</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span> }</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span> </div><div class="line"><a name="l00487"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a862535721737220f62a49f14ff494dd5"> 487</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a862535721737220f62a49f14ff494dd5">ClLayerSupport::IsLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateIn,</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateIn,</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& scratchBuffer,</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateOut,</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateOut,</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a>& descriptor,</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a>& paramsInfo,</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> <span class="keyword"></span>{</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a90ab88fe4c7aa9466c4653404a6b2213">ClLstmFloatWorkloadValidate</a>,</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  reasonIfUnsupported,</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  input,</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  outputStateIn,</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  cellStateIn,</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  scratchBuffer,</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  outputStateOut,</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  cellStateOut,</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  output,</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  descriptor,</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  paramsInfo);</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span> }</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span> </div><div class="line"><a name="l00511"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#afef9436c86b37b973471f2ae546ac00a"> 511</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#afef9436c86b37b973471f2ae546ac00a">ClLayerSupport::IsMaximumSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span> <span class="keyword"></span>{</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a553706c6338ffc52b0d916859f642587">ClMaximumWorkloadValidate</a>,</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  reasonIfUnsupported,</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  input0,</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  input1,</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  output);</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span> }</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span> </div><div class="line"><a name="l00523"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#ab268618580d4f53bf5e9b5a47dee3f6a"> 523</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#ab268618580d4f53bf5e9b5a47dee3f6a">ClLayerSupport::IsMeanSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a>& descriptor,</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span> <span class="keyword"></span>{</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#aa1fff3c5bdebee27ad33aacc6d110d32">ClMeanValidate</a>,</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  reasonIfUnsupported,</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  input,</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  output,</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  descriptor);</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span> }</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span> </div><div class="line"><a name="l00535"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#aa9309ea64f9f7447efe3567f77417d29"> 535</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#aa9309ea64f9f7447efe3567f77417d29">ClLayerSupport::IsMergerSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*> inputs,</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">MergerDescriptor</a>& descriptor,</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span> <span class="keyword"></span>{</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a3dca8ffbcb5f3afa1799aa7d354a3016">IsConcatSupported</a>(inputs, output, descriptor, reasonIfUnsupported);</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> }</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span> </div><div class="line"><a name="l00543"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a3d0eafb3de560b3482f857b56b2b2116"> 543</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a3d0eafb3de560b3482f857b56b2b2116">ClLayerSupport::IsMinimumSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> <span class="keyword"></span>{</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a8c04c8e796a4fbec706df42ed9c27e4e">ClMinimumWorkloadValidate</a>,</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  reasonIfUnsupported,</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  input0,</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  input1,</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  output);</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span> }</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span> </div><div class="line"><a name="l00555"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a421e1f3865d99d52613003048342c49a"> 555</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a421e1f3865d99d52613003048342c49a">ClLayerSupport::IsMultiplicationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span> <span class="keyword"></span>{</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a674a280a55c3760374a05ee24e9e3e74">ClMultiplicationWorkloadValidate</a>,</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  reasonIfUnsupported,</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  input0,</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  input1,</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  output);</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span> }</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span> </div><div class="line"><a name="l00567"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a994c2065561141bf37fcd2ff7bb4af4d"> 567</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a994c2065561141bf37fcd2ff7bb4af4d">ClLayerSupport::IsNormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span> <span class="keyword"></span>{</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a144c2e243a255715f309999077ed1792">ClNormalizationWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span> }</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> </div><div class="line"><a name="l00575"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#aef3244c0ef64c8f2f352d21ce0c06985"> 575</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#aef3244c0ef64c8f2f352d21ce0c06985">ClLayerSupport::IsOutputSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span> <span class="keyword"></span>{</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keywordflow">return</span> IsClBackendSupported(reasonIfUnsupported, output);</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span> }</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span> </div><div class="line"><a name="l00581"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a0534291adf9f3436ba331552eba29a43"> 581</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a0534291adf9f3436ba331552eba29a43">ClLayerSupport::IsPadSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a>& descriptor,</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span> <span class="keyword"></span>{</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#adcf7b7d939bac1cfaeb333c7b3175bb8">ClPadValidate</a>,</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  reasonIfUnsupported,</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  input,</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  output,</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  descriptor);</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span> }</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span> </div><div class="line"><a name="l00593"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a9d553495d9a94fa55588ae159d8bda30"> 593</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a9d553495d9a94fa55588ae159d8bda30">ClLayerSupport::IsPermuteSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a>& descriptor,</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span> <span class="keyword"></span>{</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a26c25df9e2271333ab4d4ef71db41dca">ClPermuteWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span> }</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span> </div><div class="line"><a name="l00601"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#aa955675303d67b1d1fb51fb7f09d8c21"> 601</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#aa955675303d67b1d1fb51fb7f09d8c21">ClLayerSupport::IsPooling2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span> <span class="keyword"></span>{</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a8a21bb33f7f054ce7b48a8c7df9e6d4a">ClPooling2dWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span> }</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span> </div><div class="line"><a name="l00609"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a4b36dcedd5edbd5142b3548967aadc2f"> 609</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a4b36dcedd5edbd5142b3548967aadc2f">ClLayerSupport::IsPreluSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &input,</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &alpha,</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &output,</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<std::string &></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span> <span class="keyword"></span>{</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#ae58d1f4437a779274037bc86efac9e26">ClPreluWorkloadValidate</a>, reasonIfUnsupported, input, alpha, output);</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span> }</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span> </div><div class="line"><a name="l00617"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#af1be52d9f968bfab069344756bf232c4"> 617</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#af1be52d9f968bfab069344756bf232c4">ClLayerSupport::IsQuantizedLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& previousCellStateIn,</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& previousOutputIn,</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateOut,</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">QuantizedLstmInputParamsInfo</a>& paramsInfo,</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span> <span class="keyword"></span>{</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a5fb7fe07abfb2373103d842b47a24726">ClQuantizedLstmWorkloadValidate</a>,</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  reasonIfUnsupported,</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  input,</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  previousCellStateIn,</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  previousOutputIn,</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  cellStateOut,</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  output,</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  paramsInfo);</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span> }</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span> </div><div class="line"><a name="l00635"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#ad2c7be6b84b04444e514f52f593b3df7"> 635</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#ad2c7be6b84b04444e514f52f593b3df7">ClLayerSupport::IsQuantizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span> <span class="keyword"></span>{</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a9c1b478e30a1e8a4ecac874cf15f13d4">ClQuantizeWorkloadValidate</a>,</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  reasonIfUnsupported,</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  input,</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  output);</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span> }</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span> </div><div class="line"><a name="l00645"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#aa02f01bbcb48c67f5b2efc4132ec5e86"> 645</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#aa02f01bbcb48c67f5b2efc4132ec5e86">ClLayerSupport::IsReshapeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a>& descriptor,</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span> <span class="keyword"></span>{</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#af5bb7a834a74983cbbc249785d0c392b">ClReshapeWorkloadValidate</a>, reasonIfUnsupported, input, output);</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span> }</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span> </div><div class="line"><a name="l00654"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a3d27a3fc6a7df0b68d80cb113aff8b6c"> 654</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a3d27a3fc6a7df0b68d80cb113aff8b6c">ClLayerSupport::IsResizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a>& descriptor,</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span> <span class="keyword"></span>{</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a95b187d3c6b7b46f4fbdc60be69fc02c">ClResizeWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span> }</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span> </div><div class="line"><a name="l00662"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a0f29f31e1ba46a52eedcdecd34f4cc24"> 662</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a0f29f31e1ba46a52eedcdecd34f4cc24">ClLayerSupport::IsResizeBilinearSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span> <span class="keyword"></span>{</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a> descriptor;</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  descriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b">m_Method</a> = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">ResizeMethod::Bilinear</a>;</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  descriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>;</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span> </div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& outputShape = output.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  descriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a> = outputShape[2];</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  descriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a> = outputShape[3];</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span> </div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a3d27a3fc6a7df0b68d80cb113aff8b6c">IsResizeSupported</a>(input, output, descriptor, reasonIfUnsupported);</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span> }</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span> </div><div class="line"><a name="l00677"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a10ae4d84b0d31580f6fcd5107322ebcf"> 677</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a10ae4d84b0d31580f6fcd5107322ebcf">ClLayerSupport::IsRsqrtSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> <span class="keyword"></span>{</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a> descriptor(<a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4">UnaryOperation::Rsqrt</a>);</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a5d99bdae7b6b2d5d1243f21cd59befb8">IsElementwiseUnarySupported</a>(input, output, descriptor, reasonIfUnsupported);</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span> }</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span> </div><div class="line"><a name="l00685"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a0e14dafa85cfcd4a6b6b752284b51e63"> 685</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a0e14dafa85cfcd4a6b6b752284b51e63">ClLayerSupport::IsSliceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a>& descriptor,</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span> <span class="keyword"></span>{</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a6d85d2806d0a90140832ad8113c1d350">ClSliceWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span> }</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span> </div><div class="line"><a name="l00693"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a8385cf8227907904a6a86fac318fc099"> 693</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a8385cf8227907904a6a86fac318fc099">ClLayerSupport::IsSoftmaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a>& descriptor,</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span> <span class="keyword"></span>{</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#abc6f7e5fe77e5aed3f7842755dd34073">ClSoftmaxWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span> }</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span> </div><div class="line"><a name="l00701"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a3adfc31e079a970e028e537ec05fabf5"> 701</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a3adfc31e079a970e028e537ec05fabf5">ClLayerSupport::IsSpaceToBatchNdSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a>& descriptor,</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span> <span class="keyword"></span>{</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a534b28fd4b345bbc938d055ff5b8970f">ClSpaceToBatchNdWorkloadValidate</a>,</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  reasonIfUnsupported,</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  input,</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  output,</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  descriptor);</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span> }</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span> </div><div class="line"><a name="l00713"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#ab2af1e7da9490d29e569d271e16b0d5c"> 713</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#ab2af1e7da9490d29e569d271e16b0d5c">ClLayerSupport::IsSpaceToDepthSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a>& descriptor,</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span> <span class="keyword"></span>{</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a5f81bc4e5533cfe99932865bd102735c">ClSpaceToDepthWorkloadValidate</a>,</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  reasonIfUnsupported,</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  input,</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  output,</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  descriptor);</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span> }</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span> </div><div class="line"><a name="l00725"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a17dd12822d49a23d24198f425a6fb9c4"> 725</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a17dd12822d49a23d24198f425a6fb9c4">ClLayerSupport::IsSplitterSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>& descriptor,</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span> <span class="keyword"></span>{</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <span class="keywordflow">return</span> IsSupportedForDataTypeCl(reasonIfUnsupported,</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>(),</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  &TrueFunc<>,</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  &TrueFunc<>);</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span> }</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span> </div><div class="line"><a name="l00736"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#aa746e752ce8874669ea549f8e50896da"> 736</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a17dd12822d49a23d24198f425a6fb9c4">ClLayerSupport::IsSplitterSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  <span class="keyword">const</span> std::vector<std::reference_wrapper<TensorInfo>>& outputs,</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>& descriptor,</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span> <span class="keyword"></span>{</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span> <span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <span class="comment">// Split along the last dimension, cannot use sub-tensors</span></div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  <span class="comment">// as width and height of the sub-tensors do not match</span></div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <span class="comment">// the width and height of the parent tensor</span></div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <span class="comment">// in case of input with more than 2D.</span></div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  std::set<unsigned int> splitAxis = <a class="code" href="namespacearmnn.xhtml#a8cbabc875597b3bed0ccdc0adb289fde">ComputeSplitAxis</a>(descriptor, input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>() > 2 && splitAxis.size() == 1 &&</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  *splitAxis.begin() == descriptor.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>() - 1 )</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  {</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a3ac8a60f837b19b20987e4fd238ce0cd">ClSplitterWorkloadValidate</a>,</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  reasonIfUnsupported,</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  input,</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  outputs,</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  *splitAxis.begin());</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  }</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> output : outputs)</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  {</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  <span class="keywordflow">if</span> (!input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a22f377fc4e10dc1773a3f979061e85f1">IsTypeSpaceMatch</a>(output)) <span class="comment">// Cannot use sub-tensors if the types are not same space</span></div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  {</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  <a class="code" href="namespacearmnn.xhtml#a13c7d751e4d37f65a6d40c3c6e50d2b8">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">"Cl Splitter: Types and quantization parameters must match."</span>);</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  }</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  }</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span> }</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span> </div><div class="line"><a name="l00769"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#ab4609f1baf5fcd295951f3c8abdffd90"> 769</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#ab4609f1baf5fcd295951f3c8abdffd90">ClLayerSupport::IsStackSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*>& inputs,</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml">StackDescriptor</a>& descriptor,</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span> <span class="keyword"></span>{</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a8c9fec997dbb5db4cdb433c36d075782">ClStackWorkloadValidate</a>,</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  reasonIfUnsupported,</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  inputs,</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  output,</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  descriptor);</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span> }</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span> </div><div class="line"><a name="l00781"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#ac054cb25099005eac854afb1511340f0"> 781</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#ac054cb25099005eac854afb1511340f0">ClLayerSupport::IsStridedSliceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a>& descriptor,</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span> <span class="keyword"></span>{</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a157e0508f6d6d08e3ca4cf6c661242e6">ClStridedSliceWorkloadValidate</a>,</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  reasonIfUnsupported,</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  input,</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  output,</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  descriptor);</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span> }</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span> </div><div class="line"><a name="l00793"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#af6c947e4d4b25bc49d92d18d4ff26736"> 793</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#af6c947e4d4b25bc49d92d18d4ff26736">ClLayerSupport::IsSubtractionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span> <span class="keyword"></span>{</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a3bbbf958387c788549b0d8481232875f">ClSubtractionValidate</a>,</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  reasonIfUnsupported,</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  input0,</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  input1,</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  output);</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span> }</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span> </div><div class="line"><a name="l00805"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a0c69484f19ed650ad48b716719114e51"> 805</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a0c69484f19ed650ad48b716719114e51">ClLayerSupport::IsTransposeConvolution2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span> <span class="keyword"></span>{</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a719ea81939d6a25f8636b52c59165d66">ClTransposeConvolution2dWorkloadValidate</a>,</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  reasonIfUnsupported,</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  input,</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  output,</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  descriptor,</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  weights,</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  biases);</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span> }</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span> </div><div class="line"><a name="l00821"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_layer_support.xhtml#a0189645f33641b280877a1b2f6ba9fee"> 821</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_layer_support.xhtml#a0189645f33641b280877a1b2f6ba9fee">ClLayerSupport::IsTransposeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml">TransposeDescriptor</a>& descriptor,</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span> <span class="keyword"></span>{</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  <a class="code" href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a1c3a39fbecb45be0bb15dd665c9be61d">ClTransposeWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span> }</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span> </div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a3d0eafb3de560b3482f857b56b2b2116"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a3d0eafb3de560b3482f857b56b2b2116">armnn::ClLayerSupport::IsMinimumSupported</a></div><div class="ttdeci">bool IsMinimumSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00543">ClLayerSupport.cpp:543</a></div></div> +<div class="ttc" id="_cl_batch_normalization_float_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_batch_normalization_float_workload_8hpp.xhtml">ClBatchNormalizationFloatWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a5f81bc4e5533cfe99932865bd102735c"><div class="ttname"><a href="namespacearmnn.xhtml#a5f81bc4e5533cfe99932865bd102735c">armnn::ClSpaceToDepthWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClSpaceToDepthWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &desc)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_space_to_depth_workload_8cpp_source.xhtml#l00044">ClSpaceToDepthWorkload.cpp:44</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_aef3244c0ef64c8f2f352d21ce0c06985"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#aef3244c0ef64c8f2f352d21ce0c06985">armnn::ClLayerSupport::IsOutputSupported</a></div><div class="ttdeci">bool IsOutputSupported(const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00575">ClLayerSupport.cpp:575</a></div></div> +<div class="ttc" id="_cl_pooling2d_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_pooling2d_workload_8hpp.xhtml">ClPooling2dWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a0189645f33641b280877a1b2f6ba9fee"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a0189645f33641b280877a1b2f6ba9fee">armnn::ClLayerSupport::IsTransposeSupported</a></div><div class="ttdeci">bool IsTransposeSupported(const TensorInfo &input, const TensorInfo &output, const TransposeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00821">ClLayerSupport.cpp:821</a></div></div> +<div class="ttc" id="_ignore_unused_8hpp_xhtml"><div class="ttname"><a href="_ignore_unused_8hpp.xhtml">IgnoreUnused.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58ca8768a6821cd735aea4f5b0df88c1fc6a"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58ca8768a6821cd735aea4f5b0df88c1fc6a">armnn::ComparisonOperation::Greater</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a3bbbf958387c788549b0d8481232875f"><div class="ttname"><a href="namespacearmnn.xhtml#a3bbbf958387c788549b0d8481232875f">armnn::ClSubtractionValidate</a></div><div class="ttdeci">arm_compute::Status ClSubtractionValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_subtraction_workload_8cpp_source.xhtml#l00038">ClSubtractionWorkload.cpp:38</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a75045734c29d7d6635342c05adbc151b"><div class="ttname"><a href="namespacearmnn.xhtml#a75045734c29d7d6635342c05adbc151b">armnn::ClDequantizeWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClDequantizeWorkloadValidate(const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_dequantize_workload_8cpp_source.xhtml#l00023">ClDequantizeWorkload.cpp:23</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a53c7593d1aa26207eac5d5814a9d56dc"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a53c7593d1aa26207eac5d5814a9d56dc">armnn::ClLayerSupport::IsFloorSupported</a></div><div class="ttdeci">bool IsFloorSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00422">ClLayerSupport.cpp:422</a></div></div> +<div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_xhtml_afe768be66897eb3d73284424e3239b23"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">armnn::ElementwiseUnaryDescriptor::m_Operation</a></div><div class="ttdeci">UnaryOperation m_Operation</div><div class="ttdoc">Specifies the elementwiseUnary operation to execute. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00098">Descriptors.hpp:98</a></div></div> +<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00190">Descriptors.hpp:190</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aef334cdb24000c330f4d2e5f1b384784"><div class="ttname"><a href="namespacearmnn.xhtml#aef334cdb24000c330f4d2e5f1b384784">armnn::ClL2NormalizationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClL2NormalizationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_l2_normalization_float_workload_8cpp_source.xhtml#l00017">ClL2NormalizationFloatWorkload.cpp:17</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a37f6946bfb7a9c7d64881b7a2e13945f"><div class="ttname"><a href="namespacearmnn.xhtml#a37f6946bfb7a9c7d64881b7a2e13945f">armnn::ClConvertFp32ToFp16WorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClConvertFp32ToFp16WorkloadValidate(const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_convert_fp32_to_fp16_workload_8cpp_source.xhtml#l00035">ClConvertFp32ToFp16Workload.cpp:35</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a22f377fc4e10dc1773a3f979061e85f1"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a22f377fc4e10dc1773a3f979061e85f1">armnn::TensorInfo::IsTypeSpaceMatch</a></div><div class="ttdeci">bool IsTypeSpaceMatch(const TensorInfo &other) const</div><div class="ttdoc">Check that the types are the same and, if quantize, that the quantization parameters are the same...</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00218">Tensor.cpp:218</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad6cb42ca5150bb96c151e4a4e6557d70"><div class="ttname"><a href="namespacearmnn.xhtml#ad6cb42ca5150bb96c151e4a4e6557d70">armnn::ClBatchNormalizationValidate</a></div><div class="ttdeci">arm_compute::Status ClBatchNormalizationValidate(const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &desc)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_batch_normalization_float_workload_8cpp_source.xhtml#l00018">ClBatchNormalizationFloatWorkload.cpp:18</a></div></div> +<div class="ttc" id="_cl_batch_to_space_nd_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_batch_to_space_nd_workload_8hpp.xhtml">ClBatchToSpaceNdWorkload.hpp</a></div></div> +<div class="ttc" id="_cl_concat_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_concat_workload_8hpp.xhtml">ClConcatWorkload.hpp</a></div></div> +<div class="ttc" id="_cl_reshape_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_reshape_workload_8hpp.xhtml">ClReshapeWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a0f4841f89f21fd794786b4c03c2425fd"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a0f4841f89f21fd794786b4c03c2425fd">armnn::ClLayerSupport::IsArgMinMaxSupported</a></div><div class="ttdeci">bool IsArgMinMaxSupported(const TensorInfo &input, const TensorInfo &output, const ArgMinMaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00183">ClLayerSupport.cpp:183</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">armnn::TransposeConvolution2dDescriptor</a></div><div class="ttdoc">A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01079">Descriptors.hpp:1079</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div> +<div class="ttc" id="_cl_transpose_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_transpose_workload_8hpp.xhtml">ClTransposeWorkload.hpp</a></div></div> +<div class="ttc" id="_cl_instance_normalization_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_instance_normalization_workload_8hpp.xhtml">ClInstanceNormalizationWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a79d362f0c6e04d51807e0d81b5b05f3a"><div class="ttname"><a href="namespacearmnn.xhtml#a79d362f0c6e04d51807e0d81b5b05f3a">armnn::ClInstanceNormalizationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClInstanceNormalizationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const InstanceNormalizationDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_instance_normalization_workload_8cpp_source.xhtml#l00018">ClInstanceNormalizationWorkload.cpp:18</a></div></div> +<div class="ttc" id="_cl_pad_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_pad_workload_8hpp.xhtml">ClPadWorkload.hpp</a></div></div> +<div class="ttc" id="_arm_compute_utils_8hpp_xhtml"><div class="ttname"><a href="_arm_compute_utils_8hpp.xhtml">ArmComputeUtils.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_reshape_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml">armnn::ReshapeDescriptor</a></div><div class="ttdoc">A ReshapeDescriptor for the ReshapeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00758">Descriptors.hpp:758</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a67957983877fb2c720a2ad7f88c45a3c"><div class="ttname"><a href="namespacearmnn.xhtml#a67957983877fb2c720a2ad7f88c45a3c">armnn::ClBatchToSpaceNdWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClBatchToSpaceNdWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &desc)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_batch_to_space_nd_workload_8cpp_source.xhtml#l00045">ClBatchToSpaceNdWorkload.cpp:45</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_af6c947e4d4b25bc49d92d18d4ff26736"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#af6c947e4d4b25bc49d92d18d4ff26736">armnn::ClLayerSupport::IsSubtractionSupported</a></div><div class="ttdeci">bool IsSubtractionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00793">ClLayerSupport.cpp:793</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a4b36dcedd5edbd5142b3548967aadc2f"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a4b36dcedd5edbd5142b3548967aadc2f">armnn::ClLayerSupport::IsPreluSupported</a></div><div class="ttdeci">bool IsPreluSupported(const TensorInfo &input, const TensorInfo &alpha, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00609">ClLayerSupport.cpp:609</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="namespacearmnn_xhtml_a3ac8a60f837b19b20987e4fd238ce0cd"><div class="ttname"><a href="namespacearmnn.xhtml#a3ac8a60f837b19b20987e4fd238ce0cd">armnn::ClSplitterWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClSplitterWorkloadValidate(const TensorInfo &input, const std::vector< std::reference_wrapper< TensorInfo >> &outputs, unsigned int splitAxis)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_splitter_workload_8cpp_source.xhtml#l00031">ClSplitterWorkload.cpp:31</a></div></div> +<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">armnn::ViewsDescriptor::GetNumDimensions</a></div><div class="ttdeci">uint32_t GetNumDimensions() const</div><div class="ttdoc">Get the number of dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00292">Descriptors.cpp:292</a></div></div> +<div class="ttc" id="structarmnn_1_1_comparison_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml">armnn::ComparisonDescriptor</a></div><div class="ttdoc">A ComparisonDescriptor for the ComparisonLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00062">Descriptors.hpp:62</a></div></div> +<div class="ttc" id="_cl_activation_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_activation_workload_8hpp.xhtml">ClActivationWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a0e14dafa85cfcd4a6b6b752284b51e63"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a0e14dafa85cfcd4a6b6b752284b51e63">armnn::ClLayerSupport::IsSliceSupported</a></div><div class="ttdeci">bool IsSliceSupported(const TensorInfo &input, const TensorInfo &output, const SliceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00685">ClLayerSupport.cpp:685</a></div></div> +<div class="ttc" id="_cl_resize_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_resize_workload_8hpp.xhtml">ClResizeWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a00ef2c55913f952924a3e23556655285"><div class="ttname"><a href="namespacearmnn.xhtml#a00ef2c55913f952924a3e23556655285">armnn::ClFullyConnectedWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClFullyConnectedWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const TensorInfo &biases, const FullyConnectedDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_fully_connected_workload_8cpp_source.xhtml#l00019">ClFullyConnectedWorkload.cpp:19</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a6d85d2806d0a90140832ad8113c1d350"><div class="ttname"><a href="namespacearmnn.xhtml#a6d85d2806d0a90140832ad8113c1d350">armnn::ClSliceWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClSliceWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const SliceDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_slice_workload_8cpp_source.xhtml#l00019">ClSliceWorkload.cpp:19</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a02847c99a2acae3b267615479f93ab55"><div class="ttname"><a href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">armnn::supported</a></div><div class="ttdeci">ISubgraphViewConverter supported</div><div class="ttdef"><b>Definition:</b> <a href="_i_subgraph_view_converter_8hpp_source.xhtml#l00031">ISubgraphViewConverter.hpp:31</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00392">Descriptors.hpp:392</a></div></div> +<div class="ttc" id="_cl_slice_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_slice_workload_8hpp.xhtml">ClSliceWorkload.hpp</a></div></div> +<div class="ttc" id="_cl_maximum_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_maximum_workload_8hpp.xhtml">ClMaximumWorkload.hpp</a></div></div> +<div class="ttc" id="_cl_l2_normalization_float_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_l2_normalization_float_workload_8hpp.xhtml">ClL2NormalizationFloatWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_ad2c7be6b84b04444e514f52f593b3df7"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#ad2c7be6b84b04444e514f52f593b3df7">armnn::ClLayerSupport::IsQuantizeSupported</a></div><div class="ttdeci">bool IsQuantizeSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00635">ClLayerSupport.cpp:635</a></div></div> +<div class="ttc" id="_cl_strided_slice_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_strided_slice_workload_8hpp.xhtml">ClStridedSliceWorkload.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a869254cb56968986a78a79e1d6d4a86b"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b">armnn::ResizeDescriptor::m_Method</a></div><div class="ttdeci">ResizeMethod m_Method</div><div class="ttdoc">The Interpolation method to use (Bilinear, NearestNeighbor). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00749">Descriptors.hpp:749</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a90ab88fe4c7aa9466c4653404a6b2213"><div class="ttname"><a href="namespacearmnn.xhtml#a90ab88fe4c7aa9466c4653404a6b2213">armnn::ClLstmFloatWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClLstmFloatWorkloadValidate(const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &scratchBuffer, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const LstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_lstm_float_workload_8cpp_source.xhtml#l00256">ClLstmFloatWorkload.cpp:256</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a0534291adf9f3436ba331552eba29a43"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a0534291adf9f3436ba331552eba29a43">armnn::ClLayerSupport::IsPadSupported</a></div><div class="ttdeci">bool IsPadSupported(const TensorInfo &input, const TensorInfo &output, const PadDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00581">ClLayerSupport.cpp:581</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a26c25df9e2271333ab4d4ef71db41dca"><div class="ttname"><a href="namespacearmnn.xhtml#a26c25df9e2271333ab4d4ef71db41dca">armnn::ClPermuteWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClPermuteWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const PermuteDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_permute_workload_8cpp_source.xhtml#l00017">ClPermuteWorkload.cpp:17</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a7303c2656e267e10252a171e8bbc1d94"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a7303c2656e267e10252a171e8bbc1d94">armnn::ClLayerSupport::IsGreaterSupported</a></div><div class="ttdeci">bool IsGreaterSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &ouput, Optional< std::string &> reasonIfUnsupported) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00448">ClLayerSupport.cpp:448</a></div></div> +<div class="ttc" id="_cl_division_float_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_division_float_workload_8hpp.xhtml">ClDivisionFloatWorkload.hpp</a></div></div> +<div class="ttc" id="_cl_transpose_convolution2d_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_transpose_convolution2d_workload_8hpp.xhtml">ClTransposeConvolution2dWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a862535721737220f62a49f14ff494dd5"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a862535721737220f62a49f14ff494dd5">armnn::ClLayerSupport::IsLstmSupported</a></div><div class="ttdeci">bool IsLstmSupported(const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &scratchBuffer, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const LstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00487">ClLayerSupport.cpp:487</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a1c3a39fbecb45be0bb15dd665c9be61d"><div class="ttname"><a href="namespacearmnn.xhtml#a1c3a39fbecb45be0bb15dd665c9be61d">armnn::ClTransposeWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClTransposeWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const TransposeDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_transpose_workload_8cpp_source.xhtml#l00017">ClTransposeWorkload.cpp:17</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_af5bb7a834a74983cbbc249785d0c392b"><div class="ttname"><a href="namespacearmnn.xhtml#af5bb7a834a74983cbbc249785d0c392b">armnn::ClReshapeWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClReshapeWorkloadValidate(const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_reshape_workload_8cpp_source.xhtml#l00015">ClReshapeWorkload.cpp:15</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_ac054cb25099005eac854afb1511340f0"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#ac054cb25099005eac854afb1511340f0">armnn::ClLayerSupport::IsStridedSliceSupported</a></div><div class="ttdeci">bool IsStridedSliceSupported(const TensorInfo &input, const TensorInfo &output, const StridedSliceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00781">ClLayerSupport.cpp:781</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a></div></div> +<div class="ttc" id="_cl_fully_connected_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_fully_connected_workload_8hpp.xhtml">ClFullyConnectedWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acd1146eb56f1473a0bf4561bcc1d1529"><div class="ttname"><a href="namespacearmnn.xhtml#acd1146eb56f1473a0bf4561bcc1d1529">armnn::ClConvolution2dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClConvolution2dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_convolution2d_workload_8cpp_source.xhtml#l00023">ClConvolution2dWorkload.cpp:23</a></div></div> +<div class="ttc" id="_cl_lstm_float_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_lstm_float_workload_8hpp.xhtml">ClLstmFloatWorkload.hpp</a></div></div> +<div class="ttc" id="_arm_compute_tensor_utils_8hpp_xhtml"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.xhtml">ArmComputeTensorUtils.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_aa9309ea64f9f7447efe3567f77417d29"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#aa9309ea64f9f7447efe3567f77417d29">armnn::ClLayerSupport::IsMergerSupported</a></div><div class="ttdeci">bool IsMergerSupported(const std::vector< const TensorInfo *> inputs, const TensorInfo &output, const MergerDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00535">ClLayerSupport.cpp:535</a></div></div> +<div class="ttc" id="_cl_normalization_float_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_normalization_float_workload_8hpp.xhtml">ClNormalizationFloatWorkload.hpp</a></div></div> +<div class="ttc" id="_cl_layer_support_8cpp_xhtml_af0383f6bb43d6d5df6f3265367b6ebf9"><div class="ttname"><a href="_cl_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a></div><div class="ttdeci">#define FORWARD_WORKLOAD_VALIDATE_FUNC(func, reasonIfUnsupported,...)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00125">ClLayerSupport.cpp:125</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aefc82adf365ff14b0095dafdd2df6afc"><div class="ttname"><a href="namespacearmnn.xhtml#aefc82adf365ff14b0095dafdd2df6afc">armnn::ClAdditionValidate</a></div><div class="ttdeci">arm_compute::Status ClAdditionValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_addition_workload_8cpp_source.xhtml#l00038">ClAdditionWorkload.cpp:38</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</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="namespacearmnn_xhtml_a8cbabc875597b3bed0ccdc0adb289fde"><div class="ttname"><a href="namespacearmnn.xhtml#a8cbabc875597b3bed0ccdc0adb289fde">armnn::ComputeSplitAxis</a></div><div class="ttdeci">std::set< unsigned int > ComputeSplitAxis(const armnn::SplitterDescriptor &desc, const TensorShape &input)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00155">ArmComputeUtils.hpp:155</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a9d553495d9a94fa55588ae159d8bda30"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a9d553495d9a94fa55588ae159d8bda30">armnn::ClLayerSupport::IsPermuteSupported</a></div><div class="ttdeci">bool IsPermuteSupported(const TensorInfo &input, const TensorInfo &output, const PermuteDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00593">ClLayerSupport.cpp:593</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="_cl_depthwise_convolution_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_depthwise_convolution_workload_8hpp.xhtml">ClDepthwiseConvolutionWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_ad16b29b7f1c73187775e7b1d044d7bc0"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#ad16b29b7f1c73187775e7b1d044d7bc0">armnn::ClLayerSupport::IsComparisonSupported</a></div><div class="ttdeci">bool IsComparisonSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &ouput, const ComparisonDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00228">ClLayerSupport.cpp:228</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00810">Descriptors.hpp:810</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a994c2065561141bf37fcd2ff7bb4af4d"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a994c2065561141bf37fcd2ff7bb4af4d">armnn::ClLayerSupport::IsNormalizationSupported</a></div><div class="ttdeci">bool IsNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const NormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00567">ClLayerSupport.cpp:567</a></div></div> +<div class="ttc" id="_internal_types_8hpp_xhtml"><div class="ttname"><a href="_internal_types_8hpp.xhtml">InternalTypes.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00657">Descriptors.hpp:657</a></div></div> +<div class="ttc" id="_cl_prelu_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_prelu_workload_8hpp.xhtml">ClPreluWorkload.hpp</a></div></div> +<div class="ttc" id="_backend_registry_8hpp_xhtml"><div class="ttname"><a href="_backend_registry_8hpp.xhtml">BackendRegistry.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_abd7fa8c2233f8a653e30ae2f3b839d92"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#abd7fa8c2233f8a653e30ae2f3b839d92">armnn::ClLayerSupport::IsAbsSupported</a></div><div class="ttdeci">bool IsAbsSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00151">ClLayerSupport.cpp:151</a></div></div> +<div class="ttc" id="_cl_convolution2d_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_convolution2d_workload_8hpp.xhtml">ClConvolution2dWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_af7ff06bd8115a6a9cc6d41e5c762798e"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#af7ff06bd8115a6a9cc6d41e5c762798e">armnn::ClLayerSupport::IsConvolution2dSupported</a></div><div class="ttdeci">bool IsConvolution2dSupported(const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00316">ClLayerSupport.cpp:316</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acf69869c2242e5e3741c4f9252099393"><div class="ttname"><a href="namespacearmnn.xhtml#acf69869c2242e5e3741c4f9252099393">armnn::ClGreaterWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClGreaterWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_greater_workload_8cpp_source.xhtml#l00024">ClGreaterWorkload.cpp:24</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml">armnn::ResizeDescriptor</a></div><div class="ttdoc">A ResizeDescriptor for the ResizeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00724">Descriptors.hpp:724</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abc6f7e5fe77e5aed3f7842755dd34073"><div class="ttname"><a href="namespacearmnn.xhtml#abc6f7e5fe77e5aed3f7842755dd34073">armnn::ClSoftmaxWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClSoftmaxWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_softmax_base_workload_8cpp_source.xhtml#l00016">ClSoftmaxBaseWorkload.cpp:16</a></div></div> +<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml">armnn::StackDescriptor</a></div><div class="ttdoc">A StackDescriptor for the StackLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00950">Descriptors.hpp:950</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_af1be52d9f968bfab069344756bf232c4"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#af1be52d9f968bfab069344756bf232c4">armnn::ClLayerSupport::IsQuantizedLstmSupported</a></div><div class="ttdeci">bool IsQuantizedLstmSupported(const TensorInfo &input, const TensorInfo &previousCellStateIn, const TensorInfo &previousOutputIn, const TensorInfo &cellStateOut, const TensorInfo &output, const QuantizedLstmInputParamsInfo &paramsInfo, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00617">ClLayerSupport.cpp:617</a></div></div> +<div class="ttc" id="_layer_support_common_8hpp_xhtml"><div class="ttname"><a href="_layer_support_common_8hpp.xhtml">LayerSupportCommon.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a144c2e243a255715f309999077ed1792"><div class="ttname"><a href="namespacearmnn.xhtml#a144c2e243a255715f309999077ed1792">armnn::ClNormalizationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClNormalizationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const NormalizationDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_normalization_float_workload_8cpp_source.xhtml#l00019">ClNormalizationFloatWorkload.cpp:19</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8a21bb33f7f054ce7b48a8c7df9e6d4a"><div class="ttname"><a href="namespacearmnn.xhtml#a8a21bb33f7f054ce7b48a8c7df9e6d4a">armnn::ClPooling2dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClPooling2dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_pooling2d_workload_8cpp_source.xhtml#l00018">ClPooling2dWorkload.cpp:18</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml">armnn::PadDescriptor</a></div><div class="ttdoc">A PadDescriptor for the PadLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00901">Descriptors.hpp:901</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a5d99bdae7b6b2d5d1243f21cd59befb8"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a5d99bdae7b6b2d5d1243f21cd59befb8">armnn::ClLayerSupport::IsElementwiseUnarySupported</a></div><div class="ttdeci">bool IsElementwiseUnarySupported(const TensorInfo &input, const TensorInfo &ouput, const ElementwiseUnaryDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00399">ClLayerSupport.cpp:399</a></div></div> +<div class="ttc" id="_cl_subtraction_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_subtraction_workload_8hpp.xhtml">ClSubtractionWorkload.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml">armnn::LstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00063">LstmParams.hpp:63</a></div></div> +<div class="ttc" id="_cl_convert_fp16_to_fp32_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_convert_fp16_to_fp32_workload_8hpp.xhtml">ClConvertFp16ToFp32Workload.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="classarmnn_1_1_cl_layer_support_xhtml_a67c970dd054b991e14369de523ca3a5a"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a67c970dd054b991e14369de523ca3a5a">armnn::ClLayerSupport::IsBatchNormalizationSupported</a></div><div class="ttdeci">bool IsBatchNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00196">ClLayerSupport.cpp:196</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00837">Descriptors.hpp:837</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a1efcaf6f02892442fefca09f49ea3d7c"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a1efcaf6f02892442fefca09f49ea3d7c">armnn::ClLayerSupport::IsConvertFp16ToFp32Supported</a></div><div class="ttdeci">bool IsConvertFp16ToFp32Supported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00296">ClLayerSupport.cpp:296</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a128fb9890897e08251a3f621e570cd23"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a128fb9890897e08251a3f621e570cd23">armnn::ClLayerSupport::IsDepthToSpaceSupported</a></div><div class="ttdeci">bool IsDepthToSpaceSupported(const TensorInfo &input, const TensorInfo &output, const DepthToSpaceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00342">ClLayerSupport.cpp:342</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8c9fec997dbb5db4cdb433c36d075782"><div class="ttname"><a href="namespacearmnn.xhtml#a8c9fec997dbb5db4cdb433c36d075782">armnn::ClStackWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClStackWorkloadValidate(const std::vector< const TensorInfo *> &inputs, const TensorInfo &output, const StackDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_stack_workload_8cpp_source.xhtml#l00030">ClStackWorkload.cpp:30</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a3adfc31e079a970e028e537ec05fabf5"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a3adfc31e079a970e028e537ec05fabf5">armnn::ClLayerSupport::IsSpaceToBatchNdSupported</a></div><div class="ttdeci">bool IsSpaceToBatchNdSupported(const TensorInfo &input, const TensorInfo &output, const SpaceToBatchNdDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00701">ClLayerSupport.cpp:701</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a3d27a3fc6a7df0b68d80cb113aff8b6c"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a3d27a3fc6a7df0b68d80cb113aff8b6c">armnn::ClLayerSupport::IsResizeSupported</a></div><div class="ttdeci">bool IsResizeSupported(const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00654">ClLayerSupport.cpp:654</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">armnn::QuantizedLstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00119">QuantizedLstmParams.hpp:119</a></div></div> +<div class="ttc" id="_cl_abs_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_abs_workload_8hpp.xhtml">ClAbsWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_adcf7b7d939bac1cfaeb333c7b3175bb8"><div class="ttname"><a href="namespacearmnn.xhtml#adcf7b7d939bac1cfaeb333c7b3175bb8">armnn::ClPadValidate</a></div><div class="ttdeci">arm_compute::Status ClPadValidate(const TensorInfo &input, const TensorInfo &output, const PadDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_pad_workload_8cpp_source.xhtml#l00045">ClPadWorkload.cpp:45</a></div></div> +<div class="ttc" id="structarmnn_1_1_l2_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml">armnn::L2NormalizationDescriptor</a></div><div class="ttdoc">A L2NormalizationDescriptor for the L2NormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00591">Descriptors.hpp:591</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a534b28fd4b345bbc938d055ff5b8970f"><div class="ttname"><a href="namespacearmnn.xhtml#a534b28fd4b345bbc938d055ff5b8970f">armnn::ClSpaceToBatchNdWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClSpaceToBatchNdWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const SpaceToBatchNdDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_space_to_batch_nd_workload_8cpp_source.xhtml#l00023">ClSpaceToBatchNdWorkload.cpp:23</a></div></div> +<div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml">armnn::ArgMinMaxDescriptor</a></div><div class="ttdoc">An ArgMinMaxDescriptor for ArgMinMaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00043">Descriptors.hpp:43</a></div></div> +<div class="ttc" id="_cl_mean_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_mean_workload_8hpp.xhtml">ClMeanWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00095">Tensor.hpp:95</a></div></div> +<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00147">Descriptors.hpp:147</a></div></div> +<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00373">Descriptors.hpp:373</a></div></div> +<div class="ttc" id="_cl_stack_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_stack_workload_8hpp.xhtml">ClStackWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a157e0508f6d6d08e3ca4cf6c661242e6"><div class="ttname"><a href="namespacearmnn.xhtml#a157e0508f6d6d08e3ca4cf6c661242e6">armnn::ClStridedSliceWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClStridedSliceWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const StridedSliceDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_strided_slice_workload_8cpp_source.xhtml#l00026">ClStridedSliceWorkload.cpp:26</a></div></div> +<div class="ttc" id="_cl_arg_min_max_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_arg_min_max_workload_8hpp.xhtml">ClArgMinMaxWorkload.hpp</a></div></div> +<div class="ttc" id="_cl_space_to_batch_nd_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_space_to_batch_nd_workload_8hpp.xhtml">ClSpaceToBatchNdWorkload.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_adcf5037208faac36c0788239a073f75c"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">armnn::ResizeDescriptor::m_TargetWidth</a></div><div class="ttdeci">uint32_t m_TargetWidth</div><div class="ttdoc">Target width value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00744">Descriptors.hpp:744</a></div></div> +<div class="ttc" id="_cl_addition_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_addition_workload_8hpp.xhtml">ClAdditionWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a46efae0191388fd33db4e95c5d79e2be"><div class="ttname"><a href="namespacearmnn.xhtml#a46efae0191388fd33db4e95c5d79e2be">armnn::ClConvertFp16ToFp32WorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClConvertFp16ToFp32WorkloadValidate(const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_convert_fp16_to_fp32_workload_8cpp_source.xhtml#l00035">ClConvertFp16ToFp32Workload.cpp:35</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00026">Types.hpp:26</a></div></div> +<div class="ttc" id="_cl_rsqrt_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_rsqrt_workload_8hpp.xhtml">ClRsqrtWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_ab4609f1baf5fcd295951f3c8abdffd90"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#ab4609f1baf5fcd295951f3c8abdffd90">armnn::ClLayerSupport::IsStackSupported</a></div><div class="ttdeci">bool IsStackSupported(const std::vector< const TensorInfo *> &inputs, const TensorInfo &output, const StackDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00769">ClLayerSupport.cpp:769</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_aa02f01bbcb48c67f5b2efc4132ec5e86"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#aa02f01bbcb48c67f5b2efc4132ec5e86">armnn::ClLayerSupport::IsReshapeSupported</a></div><div class="ttdeci">bool IsReshapeSupported(const TensorInfo &input, const TensorInfo &output, const ReshapeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00645">ClLayerSupport.cpp:645</a></div></div> +<div class="ttc" id="_cl_splitter_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_splitter_workload_8hpp.xhtml">ClSplitterWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a16c8cd49a7fa487b904b5c9cc83673e7"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a16c8cd49a7fa487b904b5c9cc83673e7">armnn::ClLayerSupport::IsDilatedDepthwiseConvolutionSupported</a></div><div class="ttdeci">bool IsDilatedDepthwiseConvolutionSupported(const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reason=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00370">ClLayerSupport.cpp:370</a></div></div> +<div class="ttc" id="_cl_space_to_depth_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_space_to_depth_workload_8hpp.xhtml">ClSpaceToDepthWorkload.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00020">Descriptors.hpp:20</a></div></div> +<div class="ttc" id="_cl_convert_fp32_to_fp16_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_convert_fp32_to_fp16_workload_8hpp.xhtml">ClConvertFp32ToFp16Workload.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a46c3fa15c46fb0d1dcdc24d0ea5cb5cd"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">armnn::ResizeDescriptor::m_TargetHeight</a></div><div class="ttdeci">uint32_t m_TargetHeight</div><div class="ttdoc">Target height value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00746">Descriptors.hpp:746</a></div></div> +<div class="ttc" id="structarmnn_1_1_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml">armnn::SliceDescriptor</a></div><div class="ttdoc">A SliceDescriptor for the SliceLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00927">Descriptors.hpp:927</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a08f55136b1f0907e7083d70d719f697f"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a08f55136b1f0907e7083d70d719f697f">armnn::ClLayerSupport::IsDivisionSupported</a></div><div class="ttdeci">bool IsDivisionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00387">ClLayerSupport.cpp:387</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a674a280a55c3760374a05ee24e9e3e74"><div class="ttname"><a href="namespacearmnn.xhtml#a674a280a55c3760374a05ee24e9e3e74">armnn::ClMultiplicationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClMultiplicationWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_multiplication_workload_8cpp_source.xhtml#l00014">ClMultiplicationWorkload.cpp:14</a></div></div> +<div class="ttc" id="_cl_multiplication_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_multiplication_workload_8hpp.xhtml">ClMultiplicationWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a421e1f3865d99d52613003048342c49a"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a421e1f3865d99d52613003048342c49a">armnn::ClLayerSupport::IsMultiplicationSupported</a></div><div class="ttdeci">bool IsMultiplicationSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00555">ClLayerSupport.cpp:555</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a95b187d3c6b7b46f4fbdc60be69fc02c"><div class="ttname"><a href="namespacearmnn.xhtml#a95b187d3c6b7b46f4fbdc60be69fc02c">armnn::ClResizeWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClResizeWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_resize_workload_8cpp_source.xhtml#l00022">ClResizeWorkload.cpp:22</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_aeaf971dd9dffd6f6bc7e5a1ae6b6af5c"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#aeaf971dd9dffd6f6bc7e5a1ae6b6af5c">armnn::ClLayerSupport::IsFullyConnectedSupported</a></div><div class="ttdeci">bool IsFullyConnectedSupported(const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const TensorInfo &biases, const FullyConnectedDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00432">ClLayerSupport.cpp:432</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a13c7d751e4d37f65a6d40c3c6e50d2b8"><div class="ttname"><a href="namespacearmnn.xhtml#a13c7d751e4d37f65a6d40c3c6e50d2b8">armnn::SetValueChecked</a></div><div class="ttdeci">void SetValueChecked(Optional< T &> optionalRef, V &&val)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_common_8hpp_source.xhtml#l00017">LayerSupportCommon.hpp:17</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a2e89c72cf60df7c2d2d7e5d98822b672"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a2e89c72cf60df7c2d2d7e5d98822b672">armnn::ClLayerSupport::IsDequantizeSupported</a></div><div class="ttdeci">bool IsDequantizeSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00332">ClLayerSupport.cpp:332</a></div></div> +<div class="ttc" id="structarmnn_1_1_comparison_descriptor_xhtml_a865dc4f43cb0ff01a1dcf78036912fd1"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">armnn::ComparisonDescriptor::m_Operation</a></div><div class="ttdeci">ComparisonOperation m_Operation</div><div class="ttdoc">Specifies the comparison operation to execute. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00078">Descriptors.hpp:78</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">armnn::SpaceToBatchNdDescriptor</a></div><div class="ttdoc">A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00778">Descriptors.hpp:778</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aa1fff3c5bdebee27ad33aacc6d110d32"><div class="ttname"><a href="namespacearmnn.xhtml#aa1fff3c5bdebee27ad33aacc6d110d32">armnn::ClMeanValidate</a></div><div class="ttdeci">arm_compute::Status ClMeanValidate(const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &desc)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_mean_workload_8cpp_source.xhtml#l00017">ClMeanWorkload.cpp:17</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a0f29f31e1ba46a52eedcdecd34f4cc24"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a0f29f31e1ba46a52eedcdecd34f4cc24">armnn::ClLayerSupport::IsResizeBilinearSupported</a></div><div class="ttdeci">bool IsResizeBilinearSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00662">ClLayerSupport.cpp:662</a></div></div> +<div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">armnn::ElementwiseUnaryDescriptor</a></div><div class="ttdoc">A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00082">Descriptors.hpp:82</a></div></div> +<div class="ttc" id="_cl_quantize_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_quantize_workload_8hpp.xhtml">ClQuantizeWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a48177e22e47448adb3d83e145dadf735"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a48177e22e47448adb3d83e145dadf735">armnn::ClLayerSupport::IsAdditionSupported</a></div><div class="ttdeci">bool IsAdditionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00171">ClLayerSupport.cpp:171</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_afef9436c86b37b973471f2ae546ac00a"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#afef9436c86b37b973471f2ae546ac00a">armnn::ClLayerSupport::IsMaximumSupported</a></div><div class="ttdeci">bool IsMaximumSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00511">ClLayerSupport.cpp:511</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae58d1f4437a779274037bc86efac9e26"><div class="ttname"><a href="namespacearmnn.xhtml#ae58d1f4437a779274037bc86efac9e26">armnn::ClPreluWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClPreluWorkloadValidate(const TensorInfo &input, const TensorInfo &alpha, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_prelu_workload_8cpp_source.xhtml#l00016">ClPreluWorkload.cpp:16</a></div></div> +<div class="ttc" id="_cl_softmax_base_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_softmax_base_workload_8hpp.xhtml">ClSoftmaxBaseWorkload.hpp</a></div></div> +<div class="ttc" id="_descriptors_8hpp_xhtml"><div class="ttname"><a href="_descriptors_8hpp.xhtml">Descriptors.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a></div></div> +<div class="ttc" id="_cl_dequantize_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_dequantize_workload_8hpp.xhtml">ClDequantizeWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a1391582cd6e145b67c98f3410667968e"><div class="ttname"><a href="namespacearmnn.xhtml#a1391582cd6e145b67c98f3410667968e">armnn::ClAbsWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClAbsWorkloadValidate(const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_abs_workload_8cpp_source.xhtml#l00019">ClAbsWorkload.cpp:19</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_ab268618580d4f53bf5e9b5a47dee3f6a"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#ab268618580d4f53bf5e9b5a47dee3f6a">armnn::ClLayerSupport::IsMeanSupported</a></div><div class="ttdeci">bool IsMeanSupported(const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00523">ClLayerSupport.cpp:523</a></div></div> +<div class="ttc" id="_cl_depth_to_space_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_depth_to_space_workload_8hpp.xhtml">ClDepthToSpaceWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8c04c8e796a4fbec706df42ed9c27e4e"><div class="ttname"><a href="namespacearmnn.xhtml#a8c04c8e796a4fbec706df42ed9c27e4e">armnn::ClMinimumWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClMinimumWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_minimum_workload_8cpp_source.xhtml#l00024">ClMinimumWorkload.cpp:24</a></div></div> +<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">armnn::OriginsDescriptor::GetNumDimensions</a></div><div class="ttdeci">uint32_t GetNumDimensions() const</div><div class="ttdoc">Get the number of dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00184">Descriptors.cpp:184</a></div></div> +<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml">armnn::MeanDescriptor</a></div><div class="ttdoc">A MeanDescriptor for the MeanLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00877">Descriptors.hpp:877</a></div></div> +<div class="ttc" id="_cl_backend_id_8hpp_xhtml"><div class="ttname"><a href="_cl_backend_id_8hpp.xhtml">ClBackendId.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_ad29d99ecd719c640ed22dcf5c688c6a5"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#ad29d99ecd719c640ed22dcf5c688c6a5">armnn::ClLayerSupport::IsInputSupported</a></div><div class="ttdeci">bool IsInputSupported(const TensorInfo &input, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00457">ClLayerSupport.cpp:457</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ab80423b306d8e0436b9a316922911d4d"><div class="ttname"><a href="namespacearmnn.xhtml#ab80423b306d8e0436b9a316922911d4d">armnn::ClArgMinMaxWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClArgMinMaxWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const ArgMinMaxDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_arg_min_max_workload_8cpp_source.xhtml#l00030">ClArgMinMaxWorkload.cpp:30</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4ec5dfcb3e419ddce1fcb3b799f312e1"><div class="ttname"><a href="namespacearmnn.xhtml#a4ec5dfcb3e419ddce1fcb3b799f312e1">armnn::ClDepthwiseConvolutionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClDepthwiseConvolutionWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_depthwise_convolution_workload_8cpp_source.xhtml#l00024">ClDepthwiseConvolutionWorkload.cpp:24</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a></div><div class="ttdoc">A TransposeDescriptor for the TransposeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01123">Descriptors.hpp:1123</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml">armnn::StridedSliceDescriptor</a></div><div class="ttdoc">A StridedSliceDescriptor for the StridedSliceLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01002">Descriptors.hpp:1002</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a7782f0809076f14363eacb4a38964b9f"><div class="ttname"><a href="namespacearmnn.xhtml#a7782f0809076f14363eacb4a38964b9f">armnn::ClConcatWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClConcatWorkloadValidate(const std::vector< const TensorInfo *> &inputs, const TensorInfo &output, const OriginsDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_concat_workload_8cpp_source.xhtml#l00029">ClConcatWorkload.cpp:29</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a8385cf8227907904a6a86fac318fc099"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a8385cf8227907904a6a86fac318fc099">armnn::ClLayerSupport::IsSoftmaxSupported</a></div><div class="ttdeci">bool IsSoftmaxSupported(const TensorInfo &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00693">ClLayerSupport.cpp:693</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a3dca8ffbcb5f3afa1799aa7d354a3016"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a3dca8ffbcb5f3afa1799aa7d354a3016">armnn::ClLayerSupport::IsConcatSupported</a></div><div class="ttdeci">bool IsConcatSupported(const std::vector< const TensorInfo *> inputs, const TensorInfo &output, const ConcatDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00246">ClLayerSupport.cpp:246</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a6a0edac987d58b405636df2eb2ee525d"><div class="ttname"><a href="namespacearmnn.xhtml#a6a0edac987d58b405636df2eb2ee525d">armnn::ClDivisionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClDivisionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_division_float_workload_8cpp_source.xhtml#l00015">ClDivisionFloatWorkload.cpp:15</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a719ea81939d6a25f8636b52c59165d66"><div class="ttname"><a href="namespacearmnn.xhtml#a719ea81939d6a25f8636b52c59165d66">armnn::ClTransposeConvolution2dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClTransposeConvolution2dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const TransposeConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_transpose_convolution2d_workload_8cpp_source.xhtml#l00026">ClTransposeConvolution2dWorkload.cpp:26</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_aca4acda7ab553edfda828658d8f3882b"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#aca4acda7ab553edfda828658d8f3882b">armnn::ClLayerSupport::IsL2NormalizationSupported</a></div><div class="ttdeci">bool IsL2NormalizationSupported(const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00475">ClLayerSupport.cpp:475</a></div></div> +<div class="ttc" id="_cl_greater_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_greater_workload_8hpp.xhtml">ClGreaterWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a5634af98b603236c6748adb5ac92e766"><div class="ttname"><a href="namespacearmnn.xhtml#a5634af98b603236c6748adb5ac92e766">armnn::ClDepthToSpaceWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClDepthToSpaceWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const DepthToSpaceDescriptor &desc)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_depth_to_space_workload_8cpp_source.xhtml#l00022">ClDepthToSpaceWorkload.cpp:22</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a42ef3cee193102dc7755193579209cca"><div class="ttname"><a href="namespacearmnn.xhtml#a42ef3cee193102dc7755193579209cca">armnn::ClActivationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClActivationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const ActivationDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_activation_workload_8cpp_source.xhtml#l00017">ClActivationWorkload.cpp:17</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_adc84390751f227fe03a115b5fa10b0fc"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#adc84390751f227fe03a115b5fa10b0fc">armnn::ClLayerSupport::IsDepthwiseConvolutionSupported</a></div><div class="ttdeci">bool IsDepthwiseConvolutionSupported(const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00354">ClLayerSupport.cpp:354</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00313">Descriptors.hpp:313</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4"><div class="ttname"><a href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4">armnn::UnaryOperation::Rsqrt</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00551">Descriptors.hpp:551</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a17dd12822d49a23d24198f425a6fb9c4"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a17dd12822d49a23d24198f425a6fb9c4">armnn::ClLayerSupport::IsSplitterSupported</a></div><div class="ttdeci">bool IsSplitterSupported(const TensorInfo &input, const ViewsDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00725">ClLayerSupport.cpp:725</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::ResizeDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00751">Descriptors.hpp:751</a></div></div> +<div class="ttc" id="_cl_minimum_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_minimum_workload_8hpp.xhtml">ClMinimumWorkload.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml">armnn::InstanceNormalizationDescriptor</a></div><div class="ttdoc">An InstanceNormalizationDescriptor for InstanceNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00629">Descriptors.hpp:629</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a91fb5f44d8b9427dc45443aa9ebfe13e"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a91fb5f44d8b9427dc45443aa9ebfe13e">armnn::ClLayerSupport::IsConvertFp32ToFp16Supported</a></div><div class="ttdeci">bool IsConvertFp32ToFp16Supported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00306">ClLayerSupport.cpp:306</a></div></div> +<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml_a379929e3b277f1ef94f3ce645870589d"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a379929e3b277f1ef94f3ce645870589d">armnn::OriginsDescriptor::GetConcatAxis</a></div><div class="ttdeci">unsigned int GetConcatAxis() const</div><div class="ttdoc">Get the concatenation axis value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00154">Descriptors.cpp:154</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a0813546a09bf2caba6794014d1960624"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a0813546a09bf2caba6794014d1960624">armnn::ClLayerSupport::IsInstanceNormalizationSupported</a></div><div class="ttdeci">bool IsInstanceNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const InstanceNormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00463">ClLayerSupport.cpp:463</a></div></div> +<div class="ttc" id="_cl_permute_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_permute_workload_8hpp.xhtml">ClPermuteWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_aa955675303d67b1d1fb51fb7f09d8c21"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#aa955675303d67b1d1fb51fb7f09d8c21">armnn::ClLayerSupport::IsPooling2dSupported</a></div><div class="ttdeci">bool IsPooling2dSupported(const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00601">ClLayerSupport.cpp:601</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a10ae4d84b0d31580f6fcd5107322ebcf"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a10ae4d84b0d31580f6fcd5107322ebcf">armnn::ClLayerSupport::IsRsqrtSupported</a></div><div class="ttdeci">bool IsRsqrtSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00677">ClLayerSupport.cpp:677</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a553706c6338ffc52b0d916859f642587"><div class="ttname"><a href="namespacearmnn.xhtml#a553706c6338ffc52b0d916859f642587">armnn::ClMaximumWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClMaximumWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_maximum_workload_8cpp_source.xhtml#l00024">ClMaximumWorkload.cpp:24</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_ab3adb3a28736529682e4ff0ea976dcd3"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#ab3adb3a28736529682e4ff0ea976dcd3">armnn::ClLayerSupport::IsActivationSupported</a></div><div class="ttdeci">bool IsActivationSupported(const TensorInfo &input, const TensorInfo &output, const ActivationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00159">ClLayerSupport.cpp:159</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_af6dbe371ec651a8e0063624fdf32afc0"><div class="ttname"><a href="namespacearmnn.xhtml#af6dbe371ec651a8e0063624fdf32afc0">armnn::IsSupportedForDataTypeGeneric</a></div><div class="ttdeci">bool IsSupportedForDataTypeGeneric(Optional< std::string &> reasonIfUnsupported, DataType dataType, Float16Func float16FuncPtr, Float32Func float32FuncPtr, Uint8Func uint8FuncPtr, Int32Func int32FuncPtr, BooleanFunc booleanFuncPtr, Params &&... params)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_common_8hpp_source.xhtml#l00027">LayerSupportCommon.hpp:27</a></div></div> +<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00123">Descriptors.hpp:123</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a5fb7fe07abfb2373103d842b47a24726"><div class="ttname"><a href="namespacearmnn.xhtml#a5fb7fe07abfb2373103d842b47a24726">armnn::ClQuantizedLstmWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClQuantizedLstmWorkloadValidate(const TensorInfo &input, const TensorInfo &previousCellStateIn, const TensorInfo &previousOutputIn, const TensorInfo &cellStateOut, const TensorInfo &output, const QuantizedLstmInputParamsInfo &paramsInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_quantized_lstm_workload_8cpp_source.xhtml#l00018">ClQuantizedLstmWorkload.cpp:18</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8874961260f35da85229554f92e16ca9"><div class="ttname"><a href="namespacearmnn.xhtml#a8874961260f35da85229554f92e16ca9">armnn::ClFloorWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClFloorWorkloadValidate(const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_floor_float_workload_8cpp_source.xhtml#l00014">ClFloorFloatWorkload.cpp:14</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a3f6f9f0d3567ae04b49ea88727845900"><div class="ttname"><a href="namespacearmnn.xhtml#a3f6f9f0d3567ae04b49ea88727845900">armnn::ClRsqrtWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClRsqrtWorkloadValidate(const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_rsqrt_workload_8cpp_source.xhtml#l00019">ClRsqrtWorkload.cpp:19</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_ab2af1e7da9490d29e569d271e16b0d5c"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#ab2af1e7da9490d29e569d271e16b0d5c">armnn::ClLayerSupport::IsSpaceToDepthSupported</a></div><div class="ttdeci">bool IsSpaceToDepthSupported(const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00713">ClLayerSupport.cpp:713</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00444">Descriptors.hpp:444</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00610">Descriptors.hpp:610</a></div></div> +<div class="ttc" id="_cl_quantized_lstm_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_quantized_lstm_workload_8hpp.xhtml">ClQuantizedLstmWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a9c1b478e30a1e8a4ecac874cf15f13d4"><div class="ttname"><a href="namespacearmnn.xhtml#a9c1b478e30a1e8a4ecac874cf15f13d4">armnn::ClQuantizeWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClQuantizeWorkloadValidate(const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_quantize_workload_8cpp_source.xhtml#l00022">ClQuantizeWorkload.cpp:22</a></div></div> +<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00102">Descriptors.hpp:102</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_adc5695cc25f4055c7ed54bdc8604a098"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#adc5695cc25f4055c7ed54bdc8604a098">armnn::ClLayerSupport::IsBatchToSpaceNdSupported</a></div><div class="ttdeci">bool IsBatchToSpaceNdSupported(const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00216">ClLayerSupport.cpp:216</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_adf18c4fa8fc9e0cdae1967990aa90fe8"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#adf18c4fa8fc9e0cdae1967990aa90fe8">armnn::ClLayerSupport::IsConstantSupported</a></div><div class="ttdeci">bool IsConstantSupported(const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00287">ClLayerSupport.cpp:287</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_layer_support_xhtml_a0c69484f19ed650ad48b716719114e51"><div class="ttname"><a href="classarmnn_1_1_cl_layer_support.xhtml#a0c69484f19ed650ad48b716719114e51">armnn::ClLayerSupport::IsTransposeConvolution2dSupported</a></div><div class="ttdeci">bool IsTransposeConvolution2dSupported(const TensorInfo &input, const TensorInfo &output, const TransposeConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_support_8cpp_source.xhtml#l00805">ClLayerSupport.cpp:805</a></div></div> +<div class="ttc" id="_cl_layer_support_8hpp_xhtml"><div class="ttname"><a href="_cl_layer_support_8hpp.xhtml">ClLayerSupport.hpp</a></div></div> +<div class="ttc" id="_cl_floor_float_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_floor_float_workload_8hpp.xhtml">ClFloorFloatWorkload.hpp</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_1ad86c6d39ab715a831555571b9e98a5.xhtml">cl</a></li><li class="navelem"><a class="el" href="_cl_layer_support_8cpp.xhtml">ClLayerSupport.cpp</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:11 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |