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diff --git a/20.02/_neon_layer_support_8cpp_source.xhtml b/20.02/_neon_layer_support_8cpp_source.xhtml new file mode 100644 index 0000000000..7a87cd4a95 --- /dev/null +++ b/20.02/_neon_layer_support_8cpp_source.xhtml @@ -0,0 +1,318 @@ +<!-- 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/neon/NeonLayerSupport.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('_neon_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">NeonLayerSupport.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_neon_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="_neon_layer_support_8hpp.xhtml">NeonLayerSupport.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_neon_backend_id_8hpp.xhtml">NeonBackendId.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="_descriptors_8hpp.xhtml">armnn/Descriptors.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_types_8hpp.xhtml">armnn/Types.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_backend_registry_8hpp.xhtml">armnn/BackendRegistry.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_internal_types_8hpp.xhtml">InternalTypes.hpp</a>></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_layer_support_common_8hpp.xhtml">LayerSupportCommon.hpp</a>></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</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="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#if defined(ARMCOMPUTENEON_ENABLED)</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</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="l00020"></a><span class="lineno"> 20</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="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include "<a class="code" href="_neon_abs_workload_8hpp.xhtml">workloads/NeonAbsWorkload.hpp</a>"</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include "<a class="code" href="_neon_addition_workload_8hpp.xhtml">workloads/NeonAdditionWorkload.hpp</a>"</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include "<a class="code" href="_neon_activation_workload_8hpp.xhtml">workloads/NeonActivationWorkload.hpp</a>"</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="_neon_arg_min_max_workload_8hpp.xhtml">workloads/NeonArgMinMaxWorkload.hpp</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="_neon_batch_normalization_workload_8hpp.xhtml">workloads/NeonBatchNormalizationWorkload.hpp</a>"</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="_neon_batch_to_space_nd_workload_8hpp.xhtml">workloads/NeonBatchToSpaceNdWorkload.hpp</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_neon_convolution2d_workload_8hpp.xhtml">workloads/NeonConvolution2dWorkload.hpp</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_neon_depth_to_space_workload_8hpp.xhtml">workloads/NeonDepthToSpaceWorkload.hpp</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_neon_depthwise_convolution_workload_8hpp.xhtml">workloads/NeonDepthwiseConvolutionWorkload.hpp</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_neon_dequantize_workload_8hpp.xhtml">workloads/NeonDequantizeWorkload.hpp</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_neon_greater_workload_8hpp.xhtml">workloads/NeonGreaterWorkload.hpp</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_neon_instance_normalization_workload_8hpp.xhtml">workloads/NeonInstanceNormalizationWorkload.hpp</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="_neon_l2_normalization_float_workload_8hpp.xhtml">workloads/NeonL2NormalizationFloatWorkload.hpp</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="_neon_lstm_float_workload_8hpp.xhtml">workloads/NeonLstmFloatWorkload.hpp</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="_neon_maximum_workload_8hpp.xhtml">workloads/NeonMaximumWorkload.hpp</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="_neon_mean_workload_8hpp.xhtml">workloads/NeonMeanWorkload.hpp</a>"</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="_neon_concat_workload_8hpp.xhtml">workloads/NeonConcatWorkload.hpp</a>"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include "<a class="code" href="_neon_minimum_workload_8hpp.xhtml">workloads/NeonMinimumWorkload.hpp</a>"</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include "<a class="code" href="_neon_multiplication_workload_8hpp.xhtml">workloads/NeonMultiplicationWorkload.hpp</a>"</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include "<a class="code" href="_neon_division_workload_8hpp.xhtml">workloads/NeonDivisionWorkload.hpp</a>"</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include "<a class="code" href="_neon_normalization_float_workload_8hpp.xhtml">workloads/NeonNormalizationFloatWorkload.hpp</a>"</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include "<a class="code" href="_neon_fully_connected_workload_8hpp.xhtml">workloads/NeonFullyConnectedWorkload.hpp</a>"</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#include "<a class="code" href="_neon_pad_workload_8hpp.xhtml">workloads/NeonPadWorkload.hpp</a>"</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="preprocessor">#include "<a class="code" href="_neon_permute_workload_8hpp.xhtml">workloads/NeonPermuteWorkload.hpp</a>"</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="preprocessor">#include "<a class="code" href="_neon_pooling2d_workload_8hpp.xhtml">workloads/NeonPooling2dWorkload.hpp</a>"</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="preprocessor">#include "<a class="code" href="_neon_prelu_workload_8hpp.xhtml">workloads/NeonPreluWorkload.hpp</a>"</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor">#include "<a class="code" href="_neon_quantize_workload_8hpp.xhtml">workloads/NeonQuantizeWorkload.hpp</a>"</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="preprocessor">#include "<a class="code" href="_neon_quantized_lstm_workload_8hpp.xhtml">workloads/NeonQuantizedLstmWorkload.hpp</a>"</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="preprocessor">#include "<a class="code" href="_neon_reshape_workload_8hpp.xhtml">workloads/NeonReshapeWorkload.hpp</a>"</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor">#include "<a class="code" href="_neon_resize_workload_8hpp.xhtml">workloads/NeonResizeWorkload.hpp</a>"</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor">#include "<a class="code" href="_neon_rsqrt_workload_8hpp.xhtml">workloads/NeonRsqrtWorkload.hpp</a>"</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="preprocessor">#include "<a class="code" href="_neon_slice_workload_8hpp.xhtml">workloads/NeonSliceWorkload.hpp</a>"</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="preprocessor">#include "<a class="code" href="_neon_softmax_base_workload_8hpp.xhtml">workloads/NeonSoftmaxBaseWorkload.hpp</a>"</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="preprocessor">#include "<a class="code" href="_neon_space_to_batch_nd_workload_8hpp.xhtml">workloads/NeonSpaceToBatchNdWorkload.hpp</a>"</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="preprocessor">#include "<a class="code" href="_neon_space_to_depth_workload_8hpp.xhtml">workloads/NeonSpaceToDepthWorkload.hpp</a>"</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="preprocessor">#include "<a class="code" href="_neon_splitter_workload_8hpp.xhtml">workloads/NeonSplitterWorkload.hpp</a>"</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="preprocessor">#include "<a class="code" href="_neon_stack_workload_8hpp.xhtml">workloads/NeonStackWorkload.hpp</a>"</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="preprocessor">#include "<a class="code" href="_neon_strided_slice_workload_8hpp.xhtml">workloads/NeonStridedSliceWorkload.hpp</a>"</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor">#include "<a class="code" href="_neon_subtraction_workload_8hpp.xhtml">workloads/NeonSubtractionWorkload.hpp</a>"</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="preprocessor">#include "<a class="code" href="_neon_transpose_convolution2d_workload_8hpp.xhtml">workloads/NeonTransposeConvolution2dWorkload.hpp</a>"</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="preprocessor">#include "<a class="code" href="_neon_transpose_workload_8hpp.xhtml">workloads/NeonTransposeWorkload.hpp</a>"</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="keyword">namespace</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> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="keyword">template</span>< <span class="keyword">typename</span> ... Args></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="keywordtype">bool</span> IsNeonBackendSupported(Optional<std::string&> reasonIfUnsupported, Args... args)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(reasonIfUnsupported, (args)...);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="preprocessor">#if defined(ARMCOMPUTENEON_ENABLED)</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="namespacearmnn.xhtml#a13c7d751e4d37f65a6d40c3c6e50d2b8">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">"The armnn library has been built without NEON support"</span>);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> }</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="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="l00083"></a><span class="lineno"> 83</span> <span class="keywordtype">bool</span> IsSupportedForDataTypeNeon(Optional<std::string&> reasonIfUnsupported,</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  FloatFunc floatFuncPtr,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  Uint8Func uint8FuncPtr,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  Params&&... params)</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> {</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">return</span> IsNeonBackendSupported(reasonIfUnsupported) &&</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="namespacearmnn.xhtml#af6dbe371ec651a8e0063624fdf32afc0">IsSupportedForDataTypeGeneric</a>(reasonIfUnsupported,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  dataType,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  floatFuncPtr,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  floatFuncPtr,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  uint8FuncPtr,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  &FalseFunc<>,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  &FalseFunc<>,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  std::forward<Params>(params)...);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="preprocessor">#if defined(ARMCOMPUTENEON_ENABLED)</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="keyword">template</span><<span class="keyword">class </span>FuncType, <span class="keyword">class</span>... Args></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</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="l00103"></a><span class="lineno"> 103</span> {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> aclStatus = func(std::forward<Args>(args)...);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</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="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">if</span> (!supported && reasonIfUnsupported)</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  {</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  reasonIfUnsupported.value() = aclStatus.error_description();</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</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> </div><div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9"> 113</a></span> <span class="preprocessor">#define FORWARD_WORKLOAD_VALIDATE_FUNC(func, reasonIfUnsupported, ...) \</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="preprocessor"> return IsWorkloadSupported(func, reasonIfUnsupported, __VA_ARGS__);</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="preprocessor">#define FORWARD_WORKLOAD_VALIDATE_FUNC(func, reasonIfUnsupported, ...) \</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="preprocessor"> return IsNeonBackendSupported(reasonIfUnsupported, __VA_ARGS__);</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> } <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#abd7fa8c2233f8a653e30ae2f3b839d92"> 121</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#abd7fa8c2233f8a653e30ae2f3b839d92">NeonLayerSupport::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="l00122"></a><span class="lineno"> 122</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="l00123"></a><span class="lineno"> 123</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="l00124"></a><span class="lineno"> 124</span> <span class="keyword"></span>{</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</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="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a61c5b4e5dc224ef0c876e43353b34030">IsElementwiseUnarySupported</a>(input, output, descriptor, reasonIfUnsupported);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#ab3adb3a28736529682e4ff0ea976dcd3"> 129</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#ab3adb3a28736529682e4ff0ea976dcd3">NeonLayerSupport::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="l00130"></a><span class="lineno"> 130</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="l00131"></a><span class="lineno"> 131</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="l00132"></a><span class="lineno"> 132</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="l00133"></a><span class="lineno"> 133</span> <span class="keyword"></span>{</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a46495807633a01d826851e1cb498f071">NeonActivationWorkloadValidate</a>,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  reasonIfUnsupported,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  input,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  output,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  descriptor);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> }</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a48177e22e47448adb3d83e145dadf735"> 142</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a48177e22e47448adb3d83e145dadf735">NeonLayerSupport::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="l00143"></a><span class="lineno"> 143</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="l00144"></a><span class="lineno"> 144</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="l00145"></a><span class="lineno"> 145</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="l00146"></a><span class="lineno"> 146</span> <span class="keyword"></span>{</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#afc541536011ccfb06853c45bfaba2dfd">NeonAdditionWorkloadValidate</a>,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  reasonIfUnsupported,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  input0,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  input1,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  output);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> }</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a0f4841f89f21fd794786b4c03c2425fd"> 154</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a0f4841f89f21fd794786b4c03c2425fd">NeonLayerSupport::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="l00155"></a><span class="lineno"> 155</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="l00156"></a><span class="lineno"> 156</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="l00157"></a><span class="lineno"> 157</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="l00158"></a><span class="lineno"> 158</span> <span class="keyword"></span>{</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a61d1f39297fec6e3062e4047dc5f236e">NeonArgMinMaxWorkloadValidate</a>,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  reasonIfUnsupported,</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  input,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  output,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  descriptor);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> }</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a67c970dd054b991e14369de523ca3a5a"> 166</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a67c970dd054b991e14369de523ca3a5a">NeonLayerSupport::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="l00167"></a><span class="lineno"> 167</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="l00168"></a><span class="lineno"> 168</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="l00169"></a><span class="lineno"> 169</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="l00170"></a><span class="lineno"> 170</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="l00171"></a><span class="lineno"> 171</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="l00172"></a><span class="lineno"> 172</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="l00173"></a><span class="lineno"> 173</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="l00174"></a><span class="lineno"> 174</span> <span class="keyword"></span>{</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a6c856ceba1828fe201b2b6c032d70371">NeonBatchNormalizationValidate</a>,</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  reasonIfUnsupported,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  input,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  output,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  mean,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  var,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  beta,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  gamma,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  descriptor);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> }</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00186"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#adc5695cc25f4055c7ed54bdc8604a098"> 186</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#adc5695cc25f4055c7ed54bdc8604a098">NeonLayerSupport::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="l00187"></a><span class="lineno"> 187</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="l00188"></a><span class="lineno"> 188</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="l00189"></a><span class="lineno"> 189</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="l00190"></a><span class="lineno"> 190</span> <span class="keyword"></span>{</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a00623eeb8f77dac6dbbc1395b5270dbb">NeonBatchToSpaceNdWorkloadValidate</a>,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  reasonIfUnsupported,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  input,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  output,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  descriptor);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> }</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a7c52726a684dd76258c61af124012537"> 198</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a7c52726a684dd76258c61af124012537">NeonLayerSupport::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="l00199"></a><span class="lineno"> 199</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="l00200"></a><span class="lineno"> 200</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="l00201"></a><span class="lineno"> 201</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="l00202"></a><span class="lineno"> 202</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="l00203"></a><span class="lineno"> 203</span> <span class="keyword"></span>{</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</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="l00205"></a><span class="lineno"> 205</span>  {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#ad536149438b0481b7278ad741e18fb5a">NeonGreaterWorkloadValidate</a>,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  reasonIfUnsupported,</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  input0,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  input1,</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  output);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  }</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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_neon_layer_support.xhtml#a3dca8ffbcb5f3afa1799aa7d354a3016"> 216</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a3dca8ffbcb5f3afa1799aa7d354a3016">NeonLayerSupport::IsConcatSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*> inputs,</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_origins_descriptor.xhtml">ConcatDescriptor</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>  <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="l00222"></a><span class="lineno"> 222</span>  {</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="namespacearmnn.xhtml#a13c7d751e4d37f65a6d40c3c6e50d2b8">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">"Neon Concat: Concat axis > Number of dimensions."</span>);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  }</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>  <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="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">if</span>(concatInnerAxis < 3) <span class="comment">// Width, height, or channels</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  {</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a8a219633e750d6daffcef3b641fa11f3">NeonConcatWorkloadValidate</a>,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  reasonIfUnsupported,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  inputs,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  output,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  descriptor);</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (concatInnerAxis == 3)</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  {</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& input : inputs)</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  {</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</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="l00241"></a><span class="lineno"> 241</span>  {</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <a class="code" href="namespacearmnn.xhtml#a13c7d751e4d37f65a6d40c3c6e50d2b8">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">"Neon Concat: Types and quantization parameters must match."</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"> 246</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="l00247"></a><span class="lineno"> 247</span>  }</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">else</span> <span class="comment">// > 4 dimensions not supported.</span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  {</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <a class="code" href="namespacearmnn.xhtml#a13c7d751e4d37f65a6d40c3c6e50d2b8">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">"Neon Concat: Maximum of 4 dimensions supported."</span>);</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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> }</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div><div class="line"><a name="l00255"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#adf18c4fa8fc9e0cdae1967990aa90fe8"> 255</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#adf18c4fa8fc9e0cdae1967990aa90fe8">NeonLayerSupport::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="l00256"></a><span class="lineno"> 256</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="l00257"></a><span class="lineno"> 257</span> <span class="keyword"></span>{</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">return</span> IsSupportedForDataTypeNeon(reasonIfUnsupported,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  output.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>(),</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  &TrueFunc<>,</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  &TrueFunc<>);</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> }</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div><div class="line"><a name="l00264"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a1efcaf6f02892442fefca09f49ea3d7c"> 264</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a1efcaf6f02892442fefca09f49ea3d7c">NeonLayerSupport::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="l00265"></a><span class="lineno"> 265</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="l00266"></a><span class="lineno"> 266</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="l00267"></a><span class="lineno"> 267</span> <span class="keyword"></span>{</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(input);</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(output);</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(reasonIfUnsupported);</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</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"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a91fb5f44d8b9427dc45443aa9ebfe13e"> 274</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a91fb5f44d8b9427dc45443aa9ebfe13e">NeonLayerSupport::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="l00275"></a><span class="lineno"> 275</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="l00276"></a><span class="lineno"> 276</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="l00277"></a><span class="lineno"> 277</span> <span class="keyword"></span>{</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(input);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(output);</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(reasonIfUnsupported);</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> }</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span> </div><div class="line"><a name="l00284"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#af7ff06bd8115a6a9cc6d41e5c762798e"> 284</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#af7ff06bd8115a6a9cc6d41e5c762798e">NeonLayerSupport::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="l00285"></a><span class="lineno"> 285</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="l00286"></a><span class="lineno"> 286</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="l00287"></a><span class="lineno"> 287</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="l00288"></a><span class="lineno"> 288</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="l00289"></a><span class="lineno"> 289</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="l00290"></a><span class="lineno"> 290</span> <span class="keyword"></span>{</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#af64bb043263ba7d09c98fd88da60726d">NeonConvolution2dWorkloadValidate</a>,</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  reasonIfUnsupported,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  input,</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  output,</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  descriptor,</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  weights,</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  biases);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> }</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> </div><div class="line"><a name="l00300"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a128fb9890897e08251a3f621e570cd23"> 300</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a128fb9890897e08251a3f621e570cd23">NeonLayerSupport::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="l00301"></a><span class="lineno"> 301</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="l00302"></a><span class="lineno"> 302</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="l00303"></a><span class="lineno"> 303</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="l00304"></a><span class="lineno"> 304</span> <span class="keyword"></span>{</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a116d88067bf98ce9858ab73e68f605f9">NeonDepthToSpaceWorkloadValidate</a>,</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  reasonIfUnsupported,</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  input,</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  output,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  descriptor);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> }</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div><div class="line"><a name="l00312"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#adc84390751f227fe03a115b5fa10b0fc"> 312</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#adc84390751f227fe03a115b5fa10b0fc">NeonLayerSupport::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="l00313"></a><span class="lineno"> 313</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="l00314"></a><span class="lineno"> 314</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="l00315"></a><span class="lineno"> 315</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="l00316"></a><span class="lineno"> 316</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="l00317"></a><span class="lineno"> 317</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="l00318"></a><span class="lineno"> 318</span> <span class="keyword"></span>{</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a168ebb908e1ee4bac24cb7992510de73">NeonDepthwiseConvolutionWorkloadValidate</a>,</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  reasonIfUnsupported,</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  input,</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  output,</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  descriptor,</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  weights,</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  biases);</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> }</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> </div><div class="line"><a name="l00328"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a2e89c72cf60df7c2d2d7e5d98822b672"> 328</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a2e89c72cf60df7c2d2d7e5d98822b672">NeonLayerSupport::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="l00329"></a><span class="lineno"> 329</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="l00330"></a><span class="lineno"> 330</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="l00331"></a><span class="lineno"> 331</span> <span class="keyword"></span>{</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#acefede7cc57c71ea4cfe1c888bb413e0">NeonDequantizeWorkloadValidate</a>,</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  reasonIfUnsupported,</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  input,</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  output);</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> }</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> </div><div class="line"><a name="l00338"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a16c8cd49a7fa487b904b5c9cc83673e7"> 338</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a16c8cd49a7fa487b904b5c9cc83673e7">NeonLayerSupport::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="l00339"></a><span class="lineno"> 339</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="l00340"></a><span class="lineno"> 340</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="l00341"></a><span class="lineno"> 341</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="l00342"></a><span class="lineno"> 342</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="l00343"></a><span class="lineno"> 343</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="l00344"></a><span class="lineno"> 344</span> <span class="keyword"></span>{</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a168ebb908e1ee4bac24cb7992510de73">NeonDepthwiseConvolutionWorkloadValidate</a>,</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  reasonIfUnsupported,</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  input,</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  output,</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  descriptor,</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  weights,</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  biases);</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_neon_layer_support.xhtml#a61c5b4e5dc224ef0c876e43353b34030"> 354</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a61c5b4e5dc224ef0c876e43353b34030">NeonLayerSupport::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="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_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a>& descriptor,</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</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="l00358"></a><span class="lineno"> 358</span> <span class="keyword"></span>{</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</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="l00360"></a><span class="lineno"> 360</span>  {</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#afc773aec6f845adc0cc547ce475dfe3f">NeonAbsWorkloadValidate</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>  }</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</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="l00367"></a><span class="lineno"> 367</span>  {</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#aa7d1b5e38aa8cb731519ff12e2a73350">NeonRsqrtWorkloadValidate</a>,</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  reasonIfUnsupported,</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  input,</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  output);</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  }</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> </div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> }</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a53c7593d1aa26207eac5d5814a9d56dc"> 377</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a53c7593d1aa26207eac5d5814a9d56dc">NeonLayerSupport::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="l00378"></a><span class="lineno"> 378</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="l00379"></a><span class="lineno"> 379</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="l00380"></a><span class="lineno"> 380</span> <span class="keyword"></span>{</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(output);</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">return</span> IsNeonBackendSupported(reasonIfUnsupported) &&</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <a class="code" href="namespacearmnn.xhtml#af6dbe371ec651a8e0063624fdf32afc0">IsSupportedForDataTypeGeneric</a>(reasonIfUnsupported,</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>(),</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  &FalseFuncF16<>,</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  &TrueFunc<>,</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  &FalseFuncU8<>,</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  &FalseFuncI32<>,</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  &FalseFuncU8<>);</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span> }</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> </div><div class="line"><a name="l00392"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#aeaf971dd9dffd6f6bc7e5a1ae6b6af5c"> 392</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#aeaf971dd9dffd6f6bc7e5a1ae6b6af5c">NeonLayerSupport::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="l00393"></a><span class="lineno"> 393</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="l00394"></a><span class="lineno"> 394</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="l00395"></a><span class="lineno"> 395</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="l00396"></a><span class="lineno"> 396</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="l00397"></a><span class="lineno"> 397</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="l00398"></a><span class="lineno"> 398</span> <span class="keyword"></span>{</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a0b7897a2a04016aa7fa24e2a1d10e944">NeonFullyConnectedWorkloadValidate</a>,</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  reasonIfUnsupported,</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  input,</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  output,</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  weights,</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  biases,</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  descriptor);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span> }</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> </div><div class="line"><a name="l00408"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a14e45f3699e823d7859d5d352d89265c"> 408</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a14e45f3699e823d7859d5d352d89265c">NeonLayerSupport::IsGreaterSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& input0,</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& input1,</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</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="l00411"></a><span class="lineno"> 411</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="l00412"></a><span class="lineno"> 412</span> <span class="keyword"></span>{</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</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="l00414"></a><span class="lineno"> 414</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a7c52726a684dd76258c61af124012537">IsComparisonSupported</a>(input0, input1, output, descriptor, reasonIfUnsupported);</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> }</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> </div><div class="line"><a name="l00417"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#ad29d99ecd719c640ed22dcf5c688c6a5"> 417</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#ad29d99ecd719c640ed22dcf5c688c6a5">NeonLayerSupport::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="l00418"></a><span class="lineno"> 418</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="l00419"></a><span class="lineno"> 419</span> <span class="keyword"></span>{</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">return</span> IsNeonBackendSupported(reasonIfUnsupported, input);</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> }</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> </div><div class="line"><a name="l00423"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a0813546a09bf2caba6794014d1960624"> 423</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a0813546a09bf2caba6794014d1960624">NeonLayerSupport::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="l00424"></a><span class="lineno"> 424</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="l00425"></a><span class="lineno"> 425</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="l00426"></a><span class="lineno"> 426</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="l00427"></a><span class="lineno"> 427</span> <span class="keyword"></span>{</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#aea722abe239545030f4c6fe4e083816f">NeonInstanceNormalizationWorkloadValidate</a>,</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  reasonIfUnsupported,</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  input,</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  output,</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  descriptor);</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> }</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> </div><div class="line"><a name="l00435"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#aca4acda7ab553edfda828658d8f3882b"> 435</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#aca4acda7ab553edfda828658d8f3882b">NeonLayerSupport::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="l00436"></a><span class="lineno"> 436</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="l00437"></a><span class="lineno"> 437</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="l00438"></a><span class="lineno"> 438</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="l00439"></a><span class="lineno"> 439</span> <span class="keyword"></span>{</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#ae838df3960d2b5d18d73ed2a07aee917">NeonL2NormalizationWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span> }</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span> </div><div class="line"><a name="l00443"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a862535721737220f62a49f14ff494dd5"> 443</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a862535721737220f62a49f14ff494dd5">NeonLayerSupport::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="l00444"></a><span class="lineno"> 444</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="l00445"></a><span class="lineno"> 445</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="l00446"></a><span class="lineno"> 446</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="l00447"></a><span class="lineno"> 447</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="l00448"></a><span class="lineno"> 448</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="l00449"></a><span class="lineno"> 449</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="l00450"></a><span class="lineno"> 450</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="l00451"></a><span class="lineno"> 451</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="l00452"></a><span class="lineno"> 452</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="l00453"></a><span class="lineno"> 453</span> <span class="keyword"></span>{</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a9e06cc2a2ac8b88fc72972695a17910f">NeonLstmFloatWorkloadValidate</a>,</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  reasonIfUnsupported,</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  input,</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  outputStateIn,</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  cellStateIn,</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  scratchBuffer,</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  outputStateOut,</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  cellStateOut,</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  output,</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  descriptor,</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  paramsInfo);</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span> }</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span> </div><div class="line"><a name="l00467"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#afef9436c86b37b973471f2ae546ac00a"> 467</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#afef9436c86b37b973471f2ae546ac00a">NeonLayerSupport::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="l00468"></a><span class="lineno"> 468</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="l00469"></a><span class="lineno"> 469</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="l00470"></a><span class="lineno"> 470</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="l00471"></a><span class="lineno"> 471</span> <span class="keyword"></span>{</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a8d2ea79addd8ef64be2ca0dad3408f00">NeonMaximumWorkloadValidate</a>,</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  reasonIfUnsupported,</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  input0,</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  input1,</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  output);</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span> }</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span> </div><div class="line"><a name="l00479"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#ab268618580d4f53bf5e9b5a47dee3f6a"> 479</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#ab268618580d4f53bf5e9b5a47dee3f6a">NeonLayerSupport::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="l00480"></a><span class="lineno"> 480</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="l00481"></a><span class="lineno"> 481</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="l00482"></a><span class="lineno"> 482</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="l00483"></a><span class="lineno"> 483</span> <span class="keyword"></span>{</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#ab81dd6d40850f8fea025ee7ce51f86d0">NeonMeanWorkloadValidate</a>,</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  reasonIfUnsupported,</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  input,</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  output,</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  descriptor);</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> }</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span> </div><div class="line"><a name="l00491"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#aa9309ea64f9f7447efe3567f77417d29"> 491</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#aa9309ea64f9f7447efe3567f77417d29">NeonLayerSupport::IsMergerSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*> inputs,</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>& output,</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</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="l00494"></a><span class="lineno"> 494</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="l00495"></a><span class="lineno"> 495</span> <span class="keyword"></span>{</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a3dca8ffbcb5f3afa1799aa7d354a3016">IsConcatSupported</a>(inputs, output, descriptor, reasonIfUnsupported);</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> }</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span> </div><div class="line"><a name="l00499"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a3d0eafb3de560b3482f857b56b2b2116"> 499</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a3d0eafb3de560b3482f857b56b2b2116">NeonLayerSupport::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="l00500"></a><span class="lineno"> 500</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="l00501"></a><span class="lineno"> 501</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="l00502"></a><span class="lineno"> 502</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="l00503"></a><span class="lineno"> 503</span> <span class="keyword"></span>{</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#ab81159ebfa638af1b91fe1e8c5de1955">NeonMinimumWorkloadValidate</a>,</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  reasonIfUnsupported,</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  input0,</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  input1,</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  output);</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_neon_layer_support.xhtml#a421e1f3865d99d52613003048342c49a"> 511</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a421e1f3865d99d52613003048342c49a">NeonLayerSupport::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="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="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a38bdbed2a1e28ab15cac0cc0f42c3fa6">NeonMultiplicationWorkloadValidate</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_neon_layer_support.xhtml#a08f55136b1f0907e7083d70d719f697f"> 523</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a08f55136b1f0907e7083d70d719f697f">NeonLayerSupport::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="l00524"></a><span class="lineno"> 524</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="l00525"></a><span class="lineno"> 525</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="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="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a3a62359fc5ebfe9628871c0ba79fb37c">NeonDivisionWorkloadValidate</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>  input0,</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  input1,</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  output);</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_neon_layer_support.xhtml#a994c2065561141bf37fcd2ff7bb4af4d"> 535</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a994c2065561141bf37fcd2ff7bb4af4d">NeonLayerSupport::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="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_normalization_descriptor.xhtml">NormalizationDescriptor</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>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a2ec6297db90d1d4c258c13d2d72b13d9">NeonNormalizationWorkloadValidate</a>,</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  reasonIfUnsupported,</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  input,</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  output,</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  descriptor);</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span> }</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span> </div><div class="line"><a name="l00547"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#aef3244c0ef64c8f2f352d21ce0c06985"> 547</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#aef3244c0ef64c8f2f352d21ce0c06985">NeonLayerSupport::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="l00548"></a><span class="lineno"> 548</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="l00549"></a><span class="lineno"> 549</span> <span class="keyword"></span>{</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keywordflow">return</span> IsNeonBackendSupported(reasonIfUnsupported, output);</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span> }</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span> </div><div class="line"><a name="l00553"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a0534291adf9f3436ba331552eba29a43"> 553</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a0534291adf9f3436ba331552eba29a43">NeonLayerSupport::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="l00554"></a><span class="lineno"> 554</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="l00555"></a><span class="lineno"> 555</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="l00556"></a><span class="lineno"> 556</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="l00557"></a><span class="lineno"> 557</span> <span class="keyword"></span>{</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a39209c0c078e83227222eb885317c2c5">NeonPadWorkloadValidate</a>,</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  reasonIfUnsupported,</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  input,</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  output,</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  descriptor);</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span> }</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> </div><div class="line"><a name="l00565"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a9d553495d9a94fa55588ae159d8bda30"> 565</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a9d553495d9a94fa55588ae159d8bda30">NeonLayerSupport::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="l00566"></a><span class="lineno"> 566</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="l00567"></a><span class="lineno"> 567</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="l00568"></a><span class="lineno"> 568</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="l00569"></a><span class="lineno"> 569</span> <span class="keyword"></span>{</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a70650f6b1d3b8511fcdb989ca769cdbb">NeonPermuteWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span> }</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> </div><div class="line"><a name="l00573"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#aa955675303d67b1d1fb51fb7f09d8c21"> 573</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#aa955675303d67b1d1fb51fb7f09d8c21">NeonLayerSupport::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="l00574"></a><span class="lineno"> 574</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="l00575"></a><span class="lineno"> 575</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="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>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a1f07655db8ad7f2738bb0d3d9e2316cc">NeonPooling2dWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</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_neon_layer_support.xhtml#a4b36dcedd5edbd5142b3548967aadc2f"> 581</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a4b36dcedd5edbd5142b3548967aadc2f">NeonLayerSupport::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="l00582"></a><span class="lineno"> 582</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="l00583"></a><span class="lineno"> 583</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="l00584"></a><span class="lineno"> 584</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="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="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a188adc104b16db3dc23ed2c5ff06cbb8">NeonPreluWorkloadValidate</a>, reasonIfUnsupported, input, alpha, output);</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span> }</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span> </div><div class="line"><a name="l00589"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#ad2c7be6b84b04444e514f52f593b3df7"> 589</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#ad2c7be6b84b04444e514f52f593b3df7">NeonLayerSupport::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="l00590"></a><span class="lineno"> 590</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="l00591"></a><span class="lineno"> 591</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="l00592"></a><span class="lineno"> 592</span> <span class="keyword"></span>{</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a4d1e35c8bbe48e99dd522ac0f75f77d7">NeonQuantizeWorkloadValidate</a>,</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  reasonIfUnsupported,</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  input,</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  output);</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span> }</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span> </div><div class="line"><a name="l00599"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a281eb6ce87b6ca147e681dd3f6483a87"> 599</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a281eb6ce87b6ca147e681dd3f6483a87">NeonLayerSupport::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="l00600"></a><span class="lineno"> 600</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="l00601"></a><span class="lineno"> 601</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="l00602"></a><span class="lineno"> 602</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="l00603"></a><span class="lineno"> 603</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="l00604"></a><span class="lineno"> 604</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="l00605"></a><span class="lineno"> 605</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="l00606"></a><span class="lineno"> 606</span> <span class="keyword"></span>{</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#ae83632e641892ad2de78f316376f6bd0">NeonQuantizedLstmWorkloadValidate</a>,</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  reasonIfUnsupported,</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  input,</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  cellStateIn,</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  outputStateIn,</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  cellStateOut,</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  outputStateOut,</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  paramsInfo);</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_neon_layer_support.xhtml#aa02f01bbcb48c67f5b2efc4132ec5e86"> 617</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#aa02f01bbcb48c67f5b2efc4132ec5e86">NeonLayerSupport::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="l00618"></a><span class="lineno"> 618</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="l00619"></a><span class="lineno"> 619</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="l00620"></a><span class="lineno"> 620</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="l00621"></a><span class="lineno"> 621</span> <span class="keyword"></span>{</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a430021076042c8157a926a3bb3a37152">NeonReshapeWorkloadValidate</a>,</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  reasonIfUnsupported,</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  input,</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  output);</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> }</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span> </div><div class="line"><a name="l00629"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a3d27a3fc6a7df0b68d80cb113aff8b6c"> 629</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a3d27a3fc6a7df0b68d80cb113aff8b6c">NeonLayerSupport::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="l00630"></a><span class="lineno"> 630</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="l00631"></a><span class="lineno"> 631</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="l00632"></a><span class="lineno"> 632</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="l00633"></a><span class="lineno"> 633</span> <span class="keyword"></span>{</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a552d65f4e0a6c9e7c7796e77590063e9">NeonResizeWorkloadValidate</a>,</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  reasonIfUnsupported,</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  input,</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  output,</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  descriptor);</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span> }</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span> </div><div class="line"><a name="l00641"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a0f29f31e1ba46a52eedcdecd34f4cc24"> 641</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a0f29f31e1ba46a52eedcdecd34f4cc24">NeonLayerSupport::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="l00642"></a><span class="lineno"> 642</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="l00643"></a><span class="lineno"> 643</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="l00644"></a><span class="lineno"> 644</span> <span class="keyword"></span>{</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a> descriptor;</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</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="l00647"></a><span class="lineno"> 647</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="l00648"></a><span class="lineno"> 648</span> </div><div class="line"><a name="l00649"></a><span class="lineno"> 649</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="l00650"></a><span class="lineno"> 650</span>  descriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a> = outputShape[2];</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  descriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a> = outputShape[3];</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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a3d27a3fc6a7df0b68d80cb113aff8b6c">IsResizeSupported</a>(input, output, descriptor, reasonIfUnsupported);</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span> }</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span> </div><div class="line"><a name="l00656"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a10ae4d84b0d31580f6fcd5107322ebcf"> 656</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a10ae4d84b0d31580f6fcd5107322ebcf">NeonLayerSupport::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="l00657"></a><span class="lineno"> 657</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="l00658"></a><span class="lineno"> 658</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="l00659"></a><span class="lineno"> 659</span> <span class="keyword"></span>{</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</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="l00661"></a><span class="lineno"> 661</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a61c5b4e5dc224ef0c876e43353b34030">IsElementwiseUnarySupported</a>(input, output, descriptor, reasonIfUnsupported);</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span> }</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span> </div><div class="line"><a name="l00664"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a0e14dafa85cfcd4a6b6b752284b51e63"> 664</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a0e14dafa85cfcd4a6b6b752284b51e63">NeonLayerSupport::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="l00665"></a><span class="lineno"> 665</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="l00666"></a><span class="lineno"> 666</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="l00667"></a><span class="lineno"> 667</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="l00668"></a><span class="lineno"> 668</span> <span class="keyword"></span>{</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a0a223c0997e3f7faa373ed55f954252b">NeonSliceWorkloadValidate</a>,</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  reasonIfUnsupported,</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  input,</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  output,</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  descriptor);</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span> }</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span> </div><div class="line"><a name="l00676"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a8385cf8227907904a6a86fac318fc099"> 676</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a8385cf8227907904a6a86fac318fc099">NeonLayerSupport::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="l00677"></a><span class="lineno"> 677</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="l00678"></a><span class="lineno"> 678</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="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="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a4077a9771ba9c551f4ce61863f65e798">NeonSoftmaxWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span> }</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span> </div><div class="line"><a name="l00684"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a3adfc31e079a970e028e537ec05fabf5"> 684</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a3adfc31e079a970e028e537ec05fabf5">NeonLayerSupport::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="l00685"></a><span class="lineno"> 685</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="l00686"></a><span class="lineno"> 686</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="l00687"></a><span class="lineno"> 687</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="l00688"></a><span class="lineno"> 688</span> <span class="keyword"></span>{</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#ab29257da888af2c4971db1344d8a526c">NeonSpaceToBatchNdWorkloadValidate</a>,</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  reasonIfUnsupported,</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  input,</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  output,</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  descriptor);</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span> }</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span> </div><div class="line"><a name="l00696"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#ab2af1e7da9490d29e569d271e16b0d5c"> 696</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#ab2af1e7da9490d29e569d271e16b0d5c">NeonLayerSupport::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="l00697"></a><span class="lineno"> 697</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="l00698"></a><span class="lineno"> 698</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="l00699"></a><span class="lineno"> 699</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="l00700"></a><span class="lineno"> 700</span> <span class="keyword"></span>{</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#af6d2d40482240def4614deb694933d1e">NeonSpaceToDepthWorkloadValidate</a>,</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  reasonIfUnsupported,</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  input,</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  output,</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  descriptor);</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span> }</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span> </div><div class="line"><a name="l00708"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a17dd12822d49a23d24198f425a6fb9c4"> 708</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a17dd12822d49a23d24198f425a6fb9c4">NeonLayerSupport::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="l00709"></a><span class="lineno"> 709</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="l00710"></a><span class="lineno"> 710</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="l00711"></a><span class="lineno"> 711</span> <span class="keyword"></span>{</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <span class="keywordflow">return</span> IsSupportedForDataTypeNeon(reasonIfUnsupported,</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>(),</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  &TrueFunc<>,</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  &TrueFunc<>);</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span> }</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span> </div><div class="line"><a name="l00719"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#aa746e752ce8874669ea549f8e50896da"> 719</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a17dd12822d49a23d24198f425a6fb9c4">NeonLayerSupport::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="l00720"></a><span class="lineno"> 720</span>  <span class="keyword">const</span> std::vector<std::reference_wrapper<TensorInfo>>& outputs,</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</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="l00722"></a><span class="lineno"> 722</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="l00723"></a><span class="lineno"> 723</span> <span class="keyword"></span>{</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span> <span class="preprocessor">#if defined(ARMCOMPUTENEON_ENABLED)</span></div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <span class="comment">// Split along the last dimension, cannot use sub-tensors</span></div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <span class="comment">// as width and height of the sub-tensors do not match</span></div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <span class="comment">// the width and height of the parent tensor</span></div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  <span class="comment">// in case of input with more than 2D.</span></div><div class="line"><a name="l00729"></a><span class="lineno"> 729</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="l00730"></a><span class="lineno"> 730</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="l00731"></a><span class="lineno"> 731</span>  *splitAxis.begin() == descriptor.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>() - 1 )</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  {</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#aab5ea316b3decb05430323d847e3a773">NeonSplitterWorkloadValidate</a>,</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  reasonIfUnsupported,</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  input,</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  outputs,</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  *splitAxis.begin());</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  }</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> output : outputs)</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  {</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</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="l00744"></a><span class="lineno"> 744</span>  {</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <a class="code" href="namespacearmnn.xhtml#a13c7d751e4d37f65a6d40c3c6e50d2b8">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">"Neon Splitter: Types and quantization parameters must match."</span>);</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  }</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  }</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span> }</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span> </div><div class="line"><a name="l00752"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#ab4609f1baf5fcd295951f3c8abdffd90"> 752</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#ab4609f1baf5fcd295951f3c8abdffd90">NeonLayerSupport::IsStackSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*>& inputs,</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</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="l00754"></a><span class="lineno"> 754</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="l00755"></a><span class="lineno"> 755</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="l00756"></a><span class="lineno"> 756</span> <span class="keyword"></span>{</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a65c83c74bdbd66cdd547d331998952eb">NeonStackWorkloadValidate</a>,</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  reasonIfUnsupported,</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  inputs,</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  output,</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  descriptor);</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span> }</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span> </div><div class="line"><a name="l00764"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#ac054cb25099005eac854afb1511340f0"> 764</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#ac054cb25099005eac854afb1511340f0">NeonLayerSupport::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="l00765"></a><span class="lineno"> 765</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="l00766"></a><span class="lineno"> 766</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="l00767"></a><span class="lineno"> 767</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="l00768"></a><span class="lineno"> 768</span> <span class="keyword"></span>{</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#ac71d08bf1257807c112b4d019802acc3">NeonStridedSliceWorkloadValidate</a>,</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  reasonIfUnsupported,</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  input,</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  output,</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  descriptor);</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span> }</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span> </div><div class="line"><a name="l00776"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#af6c947e4d4b25bc49d92d18d4ff26736"> 776</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#af6c947e4d4b25bc49d92d18d4ff26736">NeonLayerSupport::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="l00777"></a><span class="lineno"> 777</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="l00778"></a><span class="lineno"> 778</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="l00779"></a><span class="lineno"> 779</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="l00780"></a><span class="lineno"> 780</span> <span class="keyword"></span>{</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a73c15f02c46f64c1adf0fafb4c7c2cac">NeonSubtractionWorkloadValidate</a>,</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  reasonIfUnsupported,</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  input0,</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  input1,</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  output);</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span> }</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span> </div><div class="line"><a name="l00788"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a0c69484f19ed650ad48b716719114e51"> 788</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a0c69484f19ed650ad48b716719114e51">NeonLayerSupport::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="l00789"></a><span class="lineno"> 789</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="l00790"></a><span class="lineno"> 790</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="l00791"></a><span class="lineno"> 791</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="l00792"></a><span class="lineno"> 792</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="l00793"></a><span class="lineno"> 793</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="l00794"></a><span class="lineno"> 794</span> <span class="keyword"></span>{</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#abc73c3c9a09f91c22c64d7c166e9be4d">NeonTransposeConvolution2dWorkloadValidate</a>,</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  reasonIfUnsupported,</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  input,</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  output,</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  descriptor,</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  weights,</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  biases);</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span> }</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span> </div><div class="line"><a name="l00804"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.xhtml#a0189645f33641b280877a1b2f6ba9fee"> 804</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml#a0189645f33641b280877a1b2f6ba9fee">NeonLayerSupport::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="l00805"></a><span class="lineno"> 805</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="l00806"></a><span class="lineno"> 806</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="l00807"></a><span class="lineno"> 807</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="l00808"></a><span class="lineno"> 808</span> <span class="keyword"></span>{</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  <a class="code" href="_neon_layer_support_8cpp.xhtml#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.xhtml#a2b8555526752015115fa7fa00d88542b">NeonTransposeWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span> }</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span> </div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span> } <span class="comment">// namespace armnn</span></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="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="classarmnn_1_1_neon_layer_support_xhtml_a0e14dafa85cfcd4a6b6b752284b51e63"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a0e14dafa85cfcd4a6b6b752284b51e63">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00664">NeonLayerSupport.cpp:664</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a8385cf8227907904a6a86fac318fc099"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a8385cf8227907904a6a86fac318fc099">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00676">NeonLayerSupport.cpp:676</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_af7ff06bd8115a6a9cc6d41e5c762798e"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#af7ff06bd8115a6a9cc6d41e5c762798e">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00284">NeonLayerSupport.cpp:284</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="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="classarmnn_1_1_neon_layer_support_xhtml_a91fb5f44d8b9427dc45443aa9ebfe13e"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a91fb5f44d8b9427dc45443aa9ebfe13e">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00274">NeonLayerSupport.cpp:274</a></div></div> +<div class="ttc" id="_neon_batch_to_space_nd_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_batch_to_space_nd_workload_8hpp.xhtml">NeonBatchToSpaceNdWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_af6d2d40482240def4614deb694933d1e"><div class="ttname"><a href="namespacearmnn.xhtml#af6d2d40482240def4614deb694933d1e">armnn::NeonSpaceToDepthWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonSpaceToDepthWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_space_to_depth_workload_8cpp_source.xhtml#l00015">NeonSpaceToDepthWorkload.cpp:15</a></div></div> +<div class="ttc" id="_neon_layer_support_8hpp_xhtml"><div class="ttname"><a href="_neon_layer_support_8hpp.xhtml">NeonLayerSupport.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aab5ea316b3decb05430323d847e3a773"><div class="ttname"><a href="namespacearmnn.xhtml#aab5ea316b3decb05430323d847e3a773">armnn::NeonSplitterWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonSplitterWorkloadValidate(const TensorInfo &input, const std::vector< std::reference_wrapper< TensorInfo >> &outputs, unsigned int splitAxis)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_splitter_workload_8cpp_source.xhtml#l00031">NeonSplitterWorkload.cpp:31</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a38bdbed2a1e28ab15cac0cc0f42c3fa6"><div class="ttname"><a href="namespacearmnn.xhtml#a38bdbed2a1e28ab15cac0cc0f42c3fa6">armnn::NeonMultiplicationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonMultiplicationWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_multiplication_workload_8cpp_source.xhtml#l00015">NeonMultiplicationWorkload.cpp:15</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="_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</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="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="_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="classarmnn_1_1_neon_layer_support_xhtml_a16c8cd49a7fa487b904b5c9cc83673e7"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a16c8cd49a7fa487b904b5c9cc83673e7">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00338">NeonLayerSupport.cpp:338</a></div></div> +<div class="ttc" id="_neon_abs_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_abs_workload_8hpp.xhtml">NeonAbsWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a281eb6ce87b6ca147e681dd3f6483a87"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a281eb6ce87b6ca147e681dd3f6483a87">armnn::NeonLayerSupport::IsQuantizedLstmSupported</a></div><div class="ttdeci">bool IsQuantizedLstmSupported(const TensorInfo &input, const TensorInfo &cellStateIn, const TensorInfo &outputStateIn, const TensorInfo &cellStateOut, const TensorInfo &outputStateOut, const QuantizedLstmInputParamsInfo &paramsInfo, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_layer_support_8cpp_source.xhtml#l00599">NeonLayerSupport.cpp:599</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="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="namespacearmnn_xhtml_a6c856ceba1828fe201b2b6c032d70371"><div class="ttname"><a href="namespacearmnn.xhtml#a6c856ceba1828fe201b2b6c032d70371">armnn::NeonBatchNormalizationValidate</a></div><div class="ttdeci">arm_compute::Status NeonBatchNormalizationValidate(const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_batch_normalization_workload_8cpp_source.xhtml#l00020">NeonBatchNormalizationWorkload.cpp:20</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="classarmnn_1_1_neon_layer_support_xhtml_a128fb9890897e08251a3f621e570cd23"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a128fb9890897e08251a3f621e570cd23">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00300">NeonLayerSupport.cpp:300</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_aca4acda7ab553edfda828658d8f3882b"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#aca4acda7ab553edfda828658d8f3882b">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00435">NeonLayerSupport.cpp:435</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_ac054cb25099005eac854afb1511340f0"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#ac054cb25099005eac854afb1511340f0">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00764">NeonLayerSupport.cpp:764</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="classarmnn_1_1_neon_layer_support_xhtml_a48177e22e47448adb3d83e145dadf735"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a48177e22e47448adb3d83e145dadf735">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00142">NeonLayerSupport.cpp:142</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="classarmnn_1_1_neon_layer_support_xhtml_a3dca8ffbcb5f3afa1799aa7d354a3016"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a3dca8ffbcb5f3afa1799aa7d354a3016">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00216">NeonLayerSupport.cpp:216</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a17dd12822d49a23d24198f425a6fb9c4"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a17dd12822d49a23d24198f425a6fb9c4">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00708">NeonLayerSupport.cpp:708</a></div></div> +<div class="ttc" id="_neon_quantized_lstm_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_quantized_lstm_workload_8hpp.xhtml">NeonQuantizedLstmWorkload.hpp</a></div></div> +<div class="ttc" id="_neon_pooling2d_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_pooling2d_workload_8hpp.xhtml">NeonPooling2dWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ab81dd6d40850f8fea025ee7ce51f86d0"><div class="ttname"><a href="namespacearmnn.xhtml#ab81dd6d40850f8fea025ee7ce51f86d0">armnn::NeonMeanWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonMeanWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &desc)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_mean_workload_8cpp_source.xhtml#l00018">NeonMeanWorkload.cpp:18</a></div></div> +<div class="ttc" id="_neon_concat_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_concat_workload_8hpp.xhtml">NeonConcatWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_afc541536011ccfb06853c45bfaba2dfd"><div class="ttname"><a href="namespacearmnn.xhtml#afc541536011ccfb06853c45bfaba2dfd">armnn::NeonAdditionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonAdditionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_addition_workload_8cpp_source.xhtml#l00017">NeonAdditionWorkload.cpp:17</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_a46495807633a01d826851e1cb498f071"><div class="ttname"><a href="namespacearmnn.xhtml#a46495807633a01d826851e1cb498f071">armnn::NeonActivationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonActivationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const ActivationDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_activation_workload_8cpp_source.xhtml#l00015">NeonActivationWorkload.cpp:15</a></div></div> +<div class="ttc" id="_neon_stack_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_stack_workload_8hpp.xhtml">NeonStackWorkload.hpp</a></div></div> +<div class="ttc" id="_neon_multiplication_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_multiplication_workload_8hpp.xhtml">NeonMultiplicationWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ab81159ebfa638af1b91fe1e8c5de1955"><div class="ttname"><a href="namespacearmnn.xhtml#ab81159ebfa638af1b91fe1e8c5de1955">armnn::NeonMinimumWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonMinimumWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)</div><div class="ttdoc">Validate function for validating the inputs and output. </div><div class="ttdef"><b>Definition:</b> <a href="_neon_minimum_workload_8cpp_source.xhtml#l00013">NeonMinimumWorkload.cpp:13</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ac71d08bf1257807c112b4d019802acc3"><div class="ttname"><a href="namespacearmnn.xhtml#ac71d08bf1257807c112b4d019802acc3">armnn::NeonStridedSliceWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonStridedSliceWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const StridedSliceDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_strided_slice_workload_8cpp_source.xhtml#l00017">NeonStridedSliceWorkload.cpp:17</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abc73c3c9a09f91c22c64d7c166e9be4d"><div class="ttname"><a href="namespacearmnn.xhtml#abc73c3c9a09f91c22c64d7c166e9be4d">armnn::NeonTransposeConvolution2dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonTransposeConvolution2dWorkloadValidate(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="_neon_transpose_convolution2d_workload_8cpp_source.xhtml#l00026">NeonTransposeConvolution2dWorkload.cpp:26</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a14e45f3699e823d7859d5d352d89265c"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a14e45f3699e823d7859d5d352d89265c">armnn::NeonLayerSupport::IsGreaterSupported</a></div><div class="ttdeci">bool IsGreaterSupported(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="_neon_layer_support_8cpp_source.xhtml#l00408">NeonLayerSupport.cpp:408</a></div></div> +<div class="ttc" id="_neon_greater_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_greater_workload_8hpp.xhtml">NeonGreaterWorkload.hpp</a></div></div> +<div class="ttc" id="_neon_arg_min_max_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_arg_min_max_workload_8hpp.xhtml">NeonArgMinMaxWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a9e06cc2a2ac8b88fc72972695a17910f"><div class="ttname"><a href="namespacearmnn.xhtml#a9e06cc2a2ac8b88fc72972695a17910f">armnn::NeonLstmFloatWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonLstmFloatWorkloadValidate(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="_neon_lstm_float_workload_8cpp_source.xhtml#l00271">NeonLstmFloatWorkload.cpp:271</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="_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_neon_layer_support_xhtml_a0f29f31e1ba46a52eedcdecd34f4cc24"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a0f29f31e1ba46a52eedcdecd34f4cc24">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00641">NeonLayerSupport.cpp:641</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a0a223c0997e3f7faa373ed55f954252b"><div class="ttname"><a href="namespacearmnn.xhtml#a0a223c0997e3f7faa373ed55f954252b">armnn::NeonSliceWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonSliceWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const SliceDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_slice_workload_8cpp_source.xhtml#l00019">NeonSliceWorkload.cpp:19</a></div></div> +<div class="ttc" id="_neon_depthwise_convolution_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_depthwise_convolution_workload_8hpp.xhtml">NeonDepthwiseConvolutionWorkload.hpp</a></div></div> +<div class="ttc" id="_neon_space_to_batch_nd_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_space_to_batch_nd_workload_8hpp.xhtml">NeonSpaceToBatchNdWorkload.hpp</a></div></div> +<div class="ttc" id="_neon_strided_slice_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_strided_slice_workload_8hpp.xhtml">NeonStridedSliceWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_adf18c4fa8fc9e0cdae1967990aa90fe8"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#adf18c4fa8fc9e0cdae1967990aa90fe8">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00255">NeonLayerSupport.cpp:255</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_a4d1e35c8bbe48e99dd522ac0f75f77d7"><div class="ttname"><a href="namespacearmnn.xhtml#a4d1e35c8bbe48e99dd522ac0f75f77d7">armnn::NeonQuantizeWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonQuantizeWorkloadValidate(const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_quantize_workload_8cpp_source.xhtml#l00019">NeonQuantizeWorkload.cpp:19</a></div></div> +<div class="ttc" id="_neon_division_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_division_workload_8hpp.xhtml">NeonDivisionWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a0534291adf9f3436ba331552eba29a43"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a0534291adf9f3436ba331552eba29a43">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00553">NeonLayerSupport.cpp:553</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="_neon_subtraction_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_subtraction_workload_8hpp.xhtml">NeonSubtractionWorkload.hpp</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_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="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="_internal_types_8hpp_xhtml"><div class="ttname"><a href="_internal_types_8hpp.xhtml">InternalTypes.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aea722abe239545030f4c6fe4e083816f"><div class="ttname"><a href="namespacearmnn.xhtml#aea722abe239545030f4c6fe4e083816f">armnn::NeonInstanceNormalizationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonInstanceNormalizationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const InstanceNormalizationDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_instance_normalization_workload_8cpp_source.xhtml#l00019">NeonInstanceNormalizationWorkload.cpp:19</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_aa955675303d67b1d1fb51fb7f09d8c21"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#aa955675303d67b1d1fb51fb7f09d8c21">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00573">NeonLayerSupport.cpp:573</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="classarmnn_1_1_neon_layer_support_xhtml_ab3adb3a28736529682e4ff0ea976dcd3"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#ab3adb3a28736529682e4ff0ea976dcd3">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00129">NeonLayerSupport.cpp:129</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="_neon_activation_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_activation_workload_8hpp.xhtml">NeonActivationWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a421e1f3865d99d52613003048342c49a"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a421e1f3865d99d52613003048342c49a">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00511">NeonLayerSupport.cpp:511</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a7c52726a684dd76258c61af124012537"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a7c52726a684dd76258c61af124012537">armnn::NeonLayerSupport::IsComparisonSupported</a></div><div class="ttdeci">bool IsComparisonSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ComparisonDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_layer_support_8cpp_source.xhtml#l00198">NeonLayerSupport.cpp:198</a></div></div> +<div class="ttc" id="_neon_resize_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_resize_workload_8hpp.xhtml">NeonResizeWorkload.hpp</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_ae838df3960d2b5d18d73ed2a07aee917"><div class="ttname"><a href="namespacearmnn.xhtml#ae838df3960d2b5d18d73ed2a07aee917">armnn::NeonL2NormalizationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonL2NormalizationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_l2_normalization_float_workload_8cpp_source.xhtml#l00018">NeonL2NormalizationFloatWorkload.cpp:18</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_afc773aec6f845adc0cc547ce475dfe3f"><div class="ttname"><a href="namespacearmnn.xhtml#afc773aec6f845adc0cc547ce475dfe3f">armnn::NeonAbsWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonAbsWorkloadValidate(const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_abs_workload_8cpp_source.xhtml#l00018">NeonAbsWorkload.cpp:18</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="_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_ae83632e641892ad2de78f316376f6bd0"><div class="ttname"><a href="namespacearmnn.xhtml#ae83632e641892ad2de78f316376f6bd0">armnn::NeonQuantizedLstmWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonQuantizedLstmWorkloadValidate(const TensorInfo &input, const TensorInfo &cellStateIn, const TensorInfo &outputStateIn, const TensorInfo &cellStateOut, const TensorInfo &outputStateOut, const QuantizedLstmInputParamsInfo &paramsInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_quantized_lstm_workload_8cpp_source.xhtml#l00130">NeonQuantizedLstmWorkload.cpp:130</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a65c83c74bdbd66cdd547d331998952eb"><div class="ttname"><a href="namespacearmnn.xhtml#a65c83c74bdbd66cdd547d331998952eb">armnn::NeonStackWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonStackWorkloadValidate(const std::vector< const TensorInfo *> &inputs, const TensorInfo &output, const StackDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_stack_workload_8cpp_source.xhtml#l00028">NeonStackWorkload.cpp:28</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ab29257da888af2c4971db1344d8a526c"><div class="ttname"><a href="namespacearmnn.xhtml#ab29257da888af2c4971db1344d8a526c">armnn::NeonSpaceToBatchNdWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonSpaceToBatchNdWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const SpaceToBatchNdDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_space_to_batch_nd_workload_8cpp_source.xhtml#l00016">NeonSpaceToBatchNdWorkload.cpp:16</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="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="classarmnn_1_1_neon_layer_support_xhtml_abd7fa8c2233f8a653e30ae2f3b839d92"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#abd7fa8c2233f8a653e30ae2f3b839d92">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00121">NeonLayerSupport.cpp:121</a></div></div> +<div class="ttc" id="_neon_instance_normalization_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_instance_normalization_workload_8hpp.xhtml">NeonInstanceNormalizationWorkload.hpp</a></div></div> +<div class="ttc" id="_neon_quantize_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_quantize_workload_8hpp.xhtml">NeonQuantizeWorkload.hpp</a></div></div> +<div class="ttc" id="_neon_l2_normalization_float_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_l2_normalization_float_workload_8hpp.xhtml">NeonL2NormalizationFloatWorkload.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="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="namespacearmnn_xhtml_a430021076042c8157a926a3bb3a37152"><div class="ttname"><a href="namespacearmnn.xhtml#a430021076042c8157a926a3bb3a37152">armnn::NeonReshapeWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonReshapeWorkloadValidate(const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_reshape_workload_8cpp_source.xhtml#l00017">NeonReshapeWorkload.cpp:17</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_ad29d99ecd719c640ed22dcf5c688c6a5"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#ad29d99ecd719c640ed22dcf5c688c6a5">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00417">NeonLayerSupport.cpp:417</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_ab4609f1baf5fcd295951f3c8abdffd90"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#ab4609f1baf5fcd295951f3c8abdffd90">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00752">NeonLayerSupport.cpp:752</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="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="classarmnn_1_1_neon_layer_support_xhtml_a3d0eafb3de560b3482f857b56b2b2116"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a3d0eafb3de560b3482f857b56b2b2116">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00499">NeonLayerSupport.cpp:499</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a4b36dcedd5edbd5142b3548967aadc2f"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a4b36dcedd5edbd5142b3548967aadc2f">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00581">NeonLayerSupport.cpp:581</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_aef3244c0ef64c8f2f352d21ce0c06985"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#aef3244c0ef64c8f2f352d21ce0c06985">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00547">NeonLayerSupport.cpp:547</a></div></div> +<div class="ttc" id="_neon_mean_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_mean_workload_8hpp.xhtml">NeonMeanWorkload.hpp</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="classarmnn_1_1_neon_layer_support_xhtml_a0813546a09bf2caba6794014d1960624"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a0813546a09bf2caba6794014d1960624">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00423">NeonLayerSupport.cpp:423</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="_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</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="classarmnn_1_1_neon_layer_support_xhtml_aa9309ea64f9f7447efe3567f77417d29"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#aa9309ea64f9f7447efe3567f77417d29">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00491">NeonLayerSupport.cpp:491</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a994c2065561141bf37fcd2ff7bb4af4d"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a994c2065561141bf37fcd2ff7bb4af4d">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00535">NeonLayerSupport.cpp:535</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a61c5b4e5dc224ef0c876e43353b34030"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a61c5b4e5dc224ef0c876e43353b34030">armnn::NeonLayerSupport::IsElementwiseUnarySupported</a></div><div class="ttdeci">bool IsElementwiseUnarySupported(const TensorInfo &input, const TensorInfo &output, const ElementwiseUnaryDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_layer_support_8cpp_source.xhtml#l00354">NeonLayerSupport.cpp:354</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="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="_neon_splitter_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_splitter_workload_8hpp.xhtml">NeonSplitterWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a08f55136b1f0907e7083d70d719f697f"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a08f55136b1f0907e7083d70d719f697f">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00523">NeonLayerSupport.cpp:523</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a0b7897a2a04016aa7fa24e2a1d10e944"><div class="ttname"><a href="namespacearmnn.xhtml#a0b7897a2a04016aa7fa24e2a1d10e944">armnn::NeonFullyConnectedWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonFullyConnectedWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const TensorInfo &biases, const FullyConnectedDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_fully_connected_workload_8cpp_source.xhtml#l00019">NeonFullyConnectedWorkload.cpp:19</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8a219633e750d6daffcef3b641fa11f3"><div class="ttname"><a href="namespacearmnn.xhtml#a8a219633e750d6daffcef3b641fa11f3">armnn::NeonConcatWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonConcatWorkloadValidate(const std::vector< const TensorInfo *> &inputs, const TensorInfo &output, const OriginsDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_concat_workload_8cpp_source.xhtml#l00028">NeonConcatWorkload.cpp:28</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a70650f6b1d3b8511fcdb989ca769cdbb"><div class="ttname"><a href="namespacearmnn.xhtml#a70650f6b1d3b8511fcdb989ca769cdbb">armnn::NeonPermuteWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonPermuteWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const PermuteDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_permute_workload_8cpp_source.xhtml#l00015">NeonPermuteWorkload.cpp:15</a></div></div> +<div class="ttc" id="_neon_reshape_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_reshape_workload_8hpp.xhtml">NeonReshapeWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a53c7593d1aa26207eac5d5814a9d56dc"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a53c7593d1aa26207eac5d5814a9d56dc">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00377">NeonLayerSupport.cpp:377</a></div></div> +<div class="ttc" id="_neon_maximum_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_maximum_workload_8hpp.xhtml">NeonMaximumWorkload.hpp</a></div></div> +<div class="ttc" id="_neon_batch_normalization_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_batch_normalization_workload_8hpp.xhtml">NeonBatchNormalizationWorkload.hpp</a></div></div> +<div class="ttc" id="_neon_fully_connected_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_fully_connected_workload_8hpp.xhtml">NeonFullyConnectedWorkload.hpp</a></div></div> +<div class="ttc" id="_neon_slice_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_slice_workload_8hpp.xhtml">NeonSliceWorkload.hpp</a></div></div> +<div class="ttc" id="_neon_depth_to_space_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_depth_to_space_workload_8hpp.xhtml">NeonDepthToSpaceWorkload.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="classarmnn_1_1_neon_layer_support_xhtml_a3d27a3fc6a7df0b68d80cb113aff8b6c"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a3d27a3fc6a7df0b68d80cb113aff8b6c">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00629">NeonLayerSupport.cpp:629</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_af64bb043263ba7d09c98fd88da60726d"><div class="ttname"><a href="namespacearmnn.xhtml#af64bb043263ba7d09c98fd88da60726d">armnn::NeonConvolution2dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonConvolution2dWorkloadValidate(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="_neon_convolution2d_workload_8cpp_source.xhtml#l00022">NeonConvolution2dWorkload.cpp:22</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a0c69484f19ed650ad48b716719114e51"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a0c69484f19ed650ad48b716719114e51">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00788">NeonLayerSupport.cpp:788</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="namespacearmnn_xhtml_acefede7cc57c71ea4cfe1c888bb413e0"><div class="ttname"><a href="namespacearmnn.xhtml#acefede7cc57c71ea4cfe1c888bb413e0">armnn::NeonDequantizeWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonDequantizeWorkloadValidate(const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_dequantize_workload_8cpp_source.xhtml#l00021">NeonDequantizeWorkload.cpp:21</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_aa02f01bbcb48c67f5b2efc4132ec5e86"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#aa02f01bbcb48c67f5b2efc4132ec5e86">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00617">NeonLayerSupport.cpp:617</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a67c970dd054b991e14369de523ca3a5a"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a67c970dd054b991e14369de523ca3a5a">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00166">NeonLayerSupport.cpp:166</a></div></div> +<div class="ttc" id="_neon_prelu_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_prelu_workload_8hpp.xhtml">NeonPreluWorkload.hpp</a></div></div> +<div class="ttc" id="_neon_minimum_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_minimum_workload_8hpp.xhtml">NeonMinimumWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a168ebb908e1ee4bac24cb7992510de73"><div class="ttname"><a href="namespacearmnn.xhtml#a168ebb908e1ee4bac24cb7992510de73">armnn::NeonDepthwiseConvolutionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonDepthwiseConvolutionWorkloadValidate(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="_neon_depthwise_convolution_workload_8cpp_source.xhtml#l00028">NeonDepthwiseConvolutionWorkload.cpp:28</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="_neon_backend_id_8hpp_xhtml"><div class="ttname"><a href="_neon_backend_id_8hpp.xhtml">NeonBackendId.hpp</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_a2ec6297db90d1d4c258c13d2d72b13d9"><div class="ttname"><a href="namespacearmnn.xhtml#a2ec6297db90d1d4c258c13d2d72b13d9">armnn::NeonNormalizationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonNormalizationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const NormalizationDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_normalization_float_workload_8cpp_source.xhtml#l00047">NeonNormalizationFloatWorkload.cpp:47</a></div></div> +<div class="ttc" id="_neon_normalization_float_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_normalization_float_workload_8hpp.xhtml">NeonNormalizationFloatWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a00623eeb8f77dac6dbbc1395b5270dbb"><div class="ttname"><a href="namespacearmnn.xhtml#a00623eeb8f77dac6dbbc1395b5270dbb">armnn::NeonBatchToSpaceNdWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonBatchToSpaceNdWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &desc)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_batch_to_space_nd_workload_8cpp_source.xhtml#l00016">NeonBatchToSpaceNdWorkload.cpp:16</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_ad2c7be6b84b04444e514f52f593b3df7"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#ad2c7be6b84b04444e514f52f593b3df7">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00589">NeonLayerSupport.cpp:589</a></div></div> +<div class="ttc" id="_neon_addition_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_addition_workload_8hpp.xhtml">NeonAdditionWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aa7d1b5e38aa8cb731519ff12e2a73350"><div class="ttname"><a href="namespacearmnn.xhtml#aa7d1b5e38aa8cb731519ff12e2a73350">armnn::NeonRsqrtWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonRsqrtWorkloadValidate(const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_rsqrt_workload_8cpp_source.xhtml#l00018">NeonRsqrtWorkload.cpp:18</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a1efcaf6f02892442fefca09f49ea3d7c"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a1efcaf6f02892442fefca09f49ea3d7c">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00264">NeonLayerSupport.cpp:264</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a39209c0c078e83227222eb885317c2c5"><div class="ttname"><a href="namespacearmnn.xhtml#a39209c0c078e83227222eb885317c2c5">armnn::NeonPadWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonPadWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const PadDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_pad_workload_8cpp_source.xhtml#l00048">NeonPadWorkload.cpp:48</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="classarmnn_1_1_neon_layer_support_xhtml_af6c947e4d4b25bc49d92d18d4ff26736"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#af6c947e4d4b25bc49d92d18d4ff26736">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00776">NeonLayerSupport.cpp:776</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a862535721737220f62a49f14ff494dd5"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a862535721737220f62a49f14ff494dd5">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00443">NeonLayerSupport.cpp:443</a></div></div> +<div class="ttc" id="_neon_transpose_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_transpose_workload_8hpp.xhtml">NeonTransposeWorkload.hpp</a></div></div> +<div class="ttc" id="_neon_permute_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_permute_workload_8hpp.xhtml">NeonPermuteWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a61d1f39297fec6e3062e4047dc5f236e"><div class="ttname"><a href="namespacearmnn.xhtml#a61d1f39297fec6e3062e4047dc5f236e">armnn::NeonArgMinMaxWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonArgMinMaxWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const ArgMinMaxDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_arg_min_max_workload_8cpp_source.xhtml#l00029">NeonArgMinMaxWorkload.cpp:29</a></div></div> +<div class="ttc" id="_neon_convolution2d_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_convolution2d_workload_8hpp.xhtml">NeonConvolution2dWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4077a9771ba9c551f4ce61863f65e798"><div class="ttname"><a href="namespacearmnn.xhtml#a4077a9771ba9c551f4ce61863f65e798">armnn::NeonSoftmaxWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonSoftmaxWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_softmax_base_workload_8cpp_source.xhtml#l00016">NeonSoftmaxBaseWorkload.cpp:16</a></div></div> +<div class="ttc" id="_neon_rsqrt_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_rsqrt_workload_8hpp.xhtml">NeonRsqrtWorkload.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="classarmnn_1_1_neon_layer_support_xhtml_a3adfc31e079a970e028e537ec05fabf5"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a3adfc31e079a970e028e537ec05fabf5">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00684">NeonLayerSupport.cpp:684</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a2b8555526752015115fa7fa00d88542b"><div class="ttname"><a href="namespacearmnn.xhtml#a2b8555526752015115fa7fa00d88542b">armnn::NeonTransposeWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonTransposeWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const TransposeDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_transpose_workload_8cpp_source.xhtml#l00015">NeonTransposeWorkload.cpp:15</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="classarmnn_1_1_neon_layer_support_xhtml_adc84390751f227fe03a115b5fa10b0fc"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#adc84390751f227fe03a115b5fa10b0fc">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00312">NeonLayerSupport.cpp:312</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8d2ea79addd8ef64be2ca0dad3408f00"><div class="ttname"><a href="namespacearmnn.xhtml#a8d2ea79addd8ef64be2ca0dad3408f00">armnn::NeonMaximumWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonMaximumWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_maximum_workload_8cpp_source.xhtml#l00013">NeonMaximumWorkload.cpp:13</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a0f4841f89f21fd794786b4c03c2425fd"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a0f4841f89f21fd794786b4c03c2425fd">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00154">NeonLayerSupport.cpp:154</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_ab2af1e7da9490d29e569d271e16b0d5c"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#ab2af1e7da9490d29e569d271e16b0d5c">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00696">NeonLayerSupport.cpp:696</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a73c15f02c46f64c1adf0fafb4c7c2cac"><div class="ttname"><a href="namespacearmnn.xhtml#a73c15f02c46f64c1adf0fafb4c7c2cac">armnn::NeonSubtractionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonSubtractionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_subtraction_workload_8cpp_source.xhtml#l00017">NeonSubtractionWorkload.cpp:17</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="classarmnn_1_1_neon_layer_support_xhtml_a0189645f33641b280877a1b2f6ba9fee"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a0189645f33641b280877a1b2f6ba9fee">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00804">NeonLayerSupport.cpp:804</a></div></div> +<div class="ttc" id="_neon_space_to_depth_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_space_to_depth_workload_8hpp.xhtml">NeonSpaceToDepthWorkload.hpp</a></div></div> +<div class="ttc" id="_neon_transpose_convolution2d_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_transpose_convolution2d_workload_8hpp.xhtml">NeonTransposeConvolution2dWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_afef9436c86b37b973471f2ae546ac00a"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#afef9436c86b37b973471f2ae546ac00a">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00467">NeonLayerSupport.cpp:467</a></div></div> +<div class="ttc" id="_neon_softmax_base_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_softmax_base_workload_8hpp.xhtml">NeonSoftmaxBaseWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_aeaf971dd9dffd6f6bc7e5a1ae6b6af5c"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#aeaf971dd9dffd6f6bc7e5a1ae6b6af5c">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00392">NeonLayerSupport.cpp:392</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_ab268618580d4f53bf5e9b5a47dee3f6a"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#ab268618580d4f53bf5e9b5a47dee3f6a">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00479">NeonLayerSupport.cpp:479</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_adc5695cc25f4055c7ed54bdc8604a098"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#adc5695cc25f4055c7ed54bdc8604a098">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00186">NeonLayerSupport.cpp:186</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a188adc104b16db3dc23ed2c5ff06cbb8"><div class="ttname"><a href="namespacearmnn.xhtml#a188adc104b16db3dc23ed2c5ff06cbb8">armnn::NeonPreluWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonPreluWorkloadValidate(const TensorInfo &input, const TensorInfo &alpha, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_prelu_workload_8cpp_source.xhtml#l00015">NeonPreluWorkload.cpp:15</a></div></div> +<div class="ttc" id="_neon_pad_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_pad_workload_8hpp.xhtml">NeonPadWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad536149438b0481b7278ad741e18fb5a"><div class="ttname"><a href="namespacearmnn.xhtml#ad536149438b0481b7278ad741e18fb5a">armnn::NeonGreaterWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonGreaterWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_greater_workload_8cpp_source.xhtml#l00013">NeonGreaterWorkload.cpp:13</a></div></div> +<div class="ttc" id="_neon_lstm_float_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_lstm_float_workload_8hpp.xhtml">NeonLstmFloatWorkload.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="_neon_layer_support_8cpp_xhtml_af0383f6bb43d6d5df6f3265367b6ebf9"><div class="ttname"><a href="_neon_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="_neon_layer_support_8cpp_source.xhtml#l00113">NeonLayerSupport.cpp:113</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a116d88067bf98ce9858ab73e68f605f9"><div class="ttname"><a href="namespacearmnn.xhtml#a116d88067bf98ce9858ab73e68f605f9">armnn::NeonDepthToSpaceWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonDepthToSpaceWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const DepthToSpaceDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_depth_to_space_workload_8cpp_source.xhtml#l00020">NeonDepthToSpaceWorkload.cpp:20</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_a552d65f4e0a6c9e7c7796e77590063e9"><div class="ttname"><a href="namespacearmnn.xhtml#a552d65f4e0a6c9e7c7796e77590063e9">armnn::NeonResizeWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonResizeWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_resize_workload_8cpp_source.xhtml#l00020">NeonResizeWorkload.cpp:20</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="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="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="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="_neon_dequantize_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_dequantize_workload_8hpp.xhtml">NeonDequantizeWorkload.hpp</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_a3a62359fc5ebfe9628871c0ba79fb37c"><div class="ttname"><a href="namespacearmnn.xhtml#a3a62359fc5ebfe9628871c0ba79fb37c">armnn::NeonDivisionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonDivisionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_division_workload_8cpp_source.xhtml#l00013">NeonDivisionWorkload.cpp:13</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a1f07655db8ad7f2738bb0d3d9e2316cc"><div class="ttname"><a href="namespacearmnn.xhtml#a1f07655db8ad7f2738bb0d3d9e2316cc">armnn::NeonPooling2dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonPooling2dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_pooling2d_workload_8cpp_source.xhtml#l00020">NeonPooling2dWorkload.cpp:20</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml_a2e89c72cf60df7c2d2d7e5d98822b672"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a2e89c72cf60df7c2d2d7e5d98822b672">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00328">NeonLayerSupport.cpp:328</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="classarmnn_1_1_neon_layer_support_xhtml_a10ae4d84b0d31580f6fcd5107322ebcf"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a10ae4d84b0d31580f6fcd5107322ebcf">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00656">NeonLayerSupport.cpp:656</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="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_neon_layer_support_xhtml_a9d553495d9a94fa55588ae159d8bda30"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml#a9d553495d9a94fa55588ae159d8bda30">armnn::NeonLayerSupport::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="_neon_layer_support_8cpp_source.xhtml#l00565">NeonLayerSupport.cpp:565</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_d86eb514662c7c08e168285f21d00ea1.xhtml">neon</a></li><li class="navelem"><a class="el" href="_neon_layer_support_8cpp.xhtml">NeonLayerSupport.cpp</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:12 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> |