| <!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="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> |
| <link href="doxygen.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;"> |
| <td id="projectalign" style="padding-left: 0.5em;"> |
| <div id="projectname">ArmNN |
|  <span id="projectnumber">NotReleased</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.html','');}); |
| </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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">LayerSupportCommon.hpp</a>></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <boost/core/ignore_unused.hpp></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#if defined(ARMCOMPUTENEON_ENABLED)</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_utils_8hpp.html">aclCommon/ArmComputeUtils.hpp</a>></span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.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_abs_workload_8hpp.html">workloads/NeonAbsWorkload.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_addition_workload_8hpp.html">workloads/NeonAdditionWorkload.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_activation_workload_8hpp.html">workloads/NeonActivationWorkload.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_arg_min_max_workload_8hpp.html">workloads/NeonArgMinMaxWorkload.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_normalization_workload_8hpp.html">workloads/NeonBatchNormalizationWorkload.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_batch_to_space_nd_workload_8hpp.html">workloads/NeonBatchToSpaceNdWorkload.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_convolution2d_workload_8hpp.html">workloads/NeonConvolution2dWorkload.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_depth_to_space_workload_8hpp.html">workloads/NeonDepthToSpaceWorkload.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_depthwise_convolution_workload_8hpp.html">workloads/NeonDepthwiseConvolutionWorkload.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_dequantize_workload_8hpp.html">workloads/NeonDequantizeWorkload.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_greater_workload_8hpp.html">workloads/NeonGreaterWorkload.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_instance_normalization_workload_8hpp.html">workloads/NeonInstanceNormalizationWorkload.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_l2_normalization_float_workload_8hpp.html">workloads/NeonL2NormalizationFloatWorkload.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_lstm_float_workload_8hpp.html">workloads/NeonLstmFloatWorkload.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_maximum_workload_8hpp.html">workloads/NeonMaximumWorkload.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_mean_workload_8hpp.html">workloads/NeonMeanWorkload.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_concat_workload_8hpp.html">workloads/NeonConcatWorkload.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_minimum_workload_8hpp.html">workloads/NeonMinimumWorkload.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_multiplication_workload_8hpp.html">workloads/NeonMultiplicationWorkload.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_division_workload_8hpp.html">workloads/NeonDivisionWorkload.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_normalization_float_workload_8hpp.html">workloads/NeonNormalizationFloatWorkload.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_fully_connected_workload_8hpp.html">workloads/NeonFullyConnectedWorkload.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_pad_workload_8hpp.html">workloads/NeonPadWorkload.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_permute_workload_8hpp.html">workloads/NeonPermuteWorkload.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_pooling2d_workload_8hpp.html">workloads/NeonPooling2dWorkload.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_prelu_workload_8hpp.html">workloads/NeonPreluWorkload.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_quantize_workload_8hpp.html">workloads/NeonQuantizeWorkload.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_quantized_lstm_workload_8hpp.html">workloads/NeonQuantizedLstmWorkload.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_reshape_workload_8hpp.html">workloads/NeonReshapeWorkload.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_resize_workload_8hpp.html">workloads/NeonResizeWorkload.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_rsqrt_workload_8hpp.html">workloads/NeonRsqrtWorkload.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_slice_workload_8hpp.html">workloads/NeonSliceWorkload.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_softmax_base_workload_8hpp.html">workloads/NeonSoftmaxBaseWorkload.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_batch_nd_workload_8hpp.html">workloads/NeonSpaceToBatchNdWorkload.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_space_to_depth_workload_8hpp.html">workloads/NeonSpaceToDepthWorkload.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_splitter_workload_8hpp.html">workloads/NeonSplitterWorkload.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_stack_workload_8hpp.html">workloads/NeonStackWorkload.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_strided_slice_workload_8hpp.html">workloads/NeonStridedSliceWorkload.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_subtraction_workload_8hpp.html">workloads/NeonSubtractionWorkload.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_convolution2d_workload_8hpp.html">workloads/NeonTransposeConvolution2dWorkload.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">using namespace </span><a class="code" href="namespaceboost.html">boost</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> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="keyword">template</span>< <span class="keyword">typename</span> ... Args></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="keywordtype">bool</span> IsNeonBackendSupported(Optional<std::string&> reasonIfUnsupported, Args... args)</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  boost::ignore_unused(reasonIfUnsupported, (args)...);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor">#if defined(ARMCOMPUTENEON_ENABLED)</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="namespacearmnn.html#a13c7d751e4d37f65a6d40c3c6e50d2b8">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">"The armnn library has been built without NEON support"</span>);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="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="l00085"></a><span class="lineno"> 85</span> <span class="keywordtype">bool</span> IsSupportedForDataTypeNeon(Optional<std::string&> reasonIfUnsupported,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  FloatFunc floatFuncPtr,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  Uint8Func uint8FuncPtr,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  Params&&... params)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">return</span> IsNeonBackendSupported(reasonIfUnsupported) &&</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="namespacearmnn.html#af6dbe371ec651a8e0063624fdf32afc0">IsSupportedForDataTypeGeneric</a>(reasonIfUnsupported,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  dataType,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  floatFuncPtr,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  floatFuncPtr,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  uint8FuncPtr,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  &FalseFunc<>,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  &FalseFunc<>,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  std::forward<Params>(params)...);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> }</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="preprocessor">#if defined(ARMCOMPUTENEON_ENABLED)</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="keyword">template</span><<span class="keyword">class </span>FuncType, <span class="keyword">class</span>... Args></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</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="l00105"></a><span class="lineno"> 105</span> {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> aclStatus = func(std::forward<Args>(args)...);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a02847c99a2acae3b267615479f93ab55">supported</a> = (aclStatus.error_code() == arm_compute::ErrorCode::OK);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">if</span> (!supported && reasonIfUnsupported)</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>  reasonIfUnsupported.value() = aclStatus.error_description();</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  }</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> }</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9"> 115</a></span> <span class="preprocessor">#define FORWARD_WORKLOAD_VALIDATE_FUNC(func, reasonIfUnsupported, ...) \</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="preprocessor"> return IsWorkloadSupported(func, reasonIfUnsupported, __VA_ARGS__);</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="preprocessor">#define FORWARD_WORKLOAD_VALIDATE_FUNC(func, reasonIfUnsupported, ...) \</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="preprocessor"> return IsNeonBackendSupported(reasonIfUnsupported, __VA_ARGS__);</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> } <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#abd7fa8c2233f8a653e30ae2f3b839d92"> 123</a></span> <span class="keywordtype">bool</span> NeonLayerSupport::IsAbsSupported(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="keyword"></span>{</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.html">ElementwiseUnaryDescriptor</a> descriptor(UnaryOperation::Abs);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">return</span> IsElementwiseUnarySupported(input, output, descriptor, reasonIfUnsupported);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> }</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#ab3adb3a28736529682e4ff0ea976dcd3"> 131</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a58bfb9626d373249745d78b95543116e">NeonLayerSupport::IsActivationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a>& descriptor,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="keyword"></span>{</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  ignore_unused(descriptor);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a46495807633a01d826851e1cb498f071">NeonActivationWorkloadValidate</a>,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  reasonIfUnsupported,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  input,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  output,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  descriptor);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a48177e22e47448adb3d83e145dadf735"> 144</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a1b01771dc5a057d09f8cd82492154a1f">NeonLayerSupport::IsAdditionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input0,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input1,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="keyword"></span>{</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#afc541536011ccfb06853c45bfaba2dfd">NeonAdditionWorkloadValidate</a>,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  reasonIfUnsupported,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  input0,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  input1,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  output);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> }</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div><div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a0f4841f89f21fd794786b4c03c2425fd"> 156</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#aa8d5d17d1edd51d899fe699eb6156b58">NeonLayerSupport::IsArgMinMaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html">ArgMinMaxDescriptor</a>& descriptor,</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="keyword"></span>{</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a61d1f39297fec6e3062e4047dc5f236e">NeonArgMinMaxWorkloadValidate</a>,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  reasonIfUnsupported,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  input,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  output,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  descriptor);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> }</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a67c970dd054b991e14369de523ca3a5a"> 168</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a7d18d6613bb865b66b05d4d6e0391934">NeonLayerSupport::IsBatchNormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</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.html">TensorInfo</a>& output,</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.html">TensorInfo</a>& mean,</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.html">TensorInfo</a>& var,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& beta,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& gamma,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html">BatchNormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="keyword"></span>{</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a6c856ceba1828fe201b2b6c032d70371">NeonBatchNormalizationValidate</a>,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  reasonIfUnsupported,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  input,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  output,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  mean,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  var,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  beta,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  gamma,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  descriptor);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> }</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div><div class="line"><a name="l00188"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#adc5695cc25f4055c7ed54bdc8604a098"> 188</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a2399052d9cbb2b88720b07511a2e362f">NeonLayerSupport::IsBatchToSpaceNdSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">BatchToSpaceNdDescriptor</a>& descriptor,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> <span class="keyword"></span>{</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a00623eeb8f77dac6dbbc1395b5270dbb">NeonBatchToSpaceNdWorkloadValidate</a>,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  reasonIfUnsupported,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  input,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  output,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  descriptor);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> }</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div><div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a7c52726a684dd76258c61af124012537"> 200</a></span> <span class="keywordtype">bool</span> NeonLayerSupport::IsComparisonSupported(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input0,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input1,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.html">ComparisonDescriptor</a>& descriptor,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> <span class="keyword"></span>{</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_comparison_descriptor.html#a865dc4f43cb0ff01a1dcf78036912fd1">m_Operation</a> == ComparisonOperation::Greater)</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  {</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#ad536149438b0481b7278ad741e18fb5a">NeonGreaterWorkloadValidate</a>,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  reasonIfUnsupported,</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  input0,</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  input1,</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  output);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</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>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> }</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a3dca8ffbcb5f3afa1799aa7d354a3016"> 218</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a757df85e956e425c1a082d35a98ca4a9">NeonLayerSupport::IsConcatSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*> inputs,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.html">ConcatDescriptor</a>& descriptor,</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="keyword"></span>{</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>() <= descriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a379929e3b277f1ef94f3ce645870589d">GetConcatAxis</a>())</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  {</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="namespacearmnn.html#a13c7d751e4d37f65a6d40c3c6e50d2b8">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">"Neon Concat: Concat axis > Number of dimensions."</span>);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  }</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> concatInnerAxis = (descriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>() - descriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a379929e3b277f1ef94f3ce645870589d">GetConcatAxis</a>()) - 1;</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">if</span>(concatInnerAxis < 3) <span class="comment">// Width, height, or channels</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  {</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a8a219633e750d6daffcef3b641fa11f3">NeonConcatWorkloadValidate</a>,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  reasonIfUnsupported,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  inputs,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  output,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  descriptor);</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">else</span> <span class="keywordflow">if</span> (concatInnerAxis == 3)</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">for</span> (<span class="keyword">auto</span>& input : inputs)</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>  <span class="keywordflow">if</span> (input && !output.<a class="code" href="classarmnn_1_1_tensor_info.html#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="l00243"></a><span class="lineno"> 243</span>  {</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <a class="code" href="namespacearmnn.html#a13c7d751e4d37f65a6d40c3c6e50d2b8">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">"Neon Concat: Types and quantization parameters must match."</span>);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</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">return</span> <span class="keyword">true</span>; <span class="comment">// Sub-tensors support concat along batch</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>  <span class="keywordflow">else</span> <span class="comment">// > 4 dimensions not supported.</span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  {</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="namespacearmnn.html#a13c7d751e4d37f65a6d40c3c6e50d2b8">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">"Neon Concat: Maximum of 4 dimensions supported."</span>);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">return</span> <span class="keyword">false</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"> 255</span> }</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div><div class="line"><a name="l00257"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#adf18c4fa8fc9e0cdae1967990aa90fe8"> 257</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#acc76cdec78906a3457a9c2293a453869">NeonLayerSupport::IsConstantSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> <span class="keyword"></span>{</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">return</span> IsSupportedForDataTypeNeon(reasonIfUnsupported,</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  output.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>(),</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  &TrueFunc<>,</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  &TrueFunc<>);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> }</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div><div class="line"><a name="l00266"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a1efcaf6f02892442fefca09f49ea3d7c"> 266</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#aaa152f86599af5189c9d637fe7ade6d0">NeonLayerSupport::IsConvertFp16ToFp32Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="keyword"></span>{</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  ignore_unused(input);</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  ignore_unused(output);</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  ignore_unused(reasonIfUnsupported);</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> }</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div><div class="line"><a name="l00276"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a91fb5f44d8b9427dc45443aa9ebfe13e"> 276</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a98994026cec1578ceb7aa74c834b00d9">NeonLayerSupport::IsConvertFp32ToFp16Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="keyword"></span>{</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  ignore_unused(input);</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  ignore_unused(output);</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  ignore_unused(reasonIfUnsupported);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> }</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> </div><div class="line"><a name="l00286"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#af7ff06bd8115a6a9cc6d41e5c762798e"> 286</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#af22d4421773ce95e0f2324fc1a66c0d9">NeonLayerSupport::IsConvolution2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</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.html">TensorInfo</a>& output,</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.html">Convolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& weights,</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> <span class="keyword"></span>{</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#af64bb043263ba7d09c98fd88da60726d">NeonConvolution2dWorkloadValidate</a>,</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  reasonIfUnsupported,</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  input,</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  output,</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  descriptor,</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  weights,</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  biases);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> }</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> </div><div class="line"><a name="l00302"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a128fb9890897e08251a3f621e570cd23"> 302</a></span> <span class="keywordtype">bool</span> NeonLayerSupport::IsDepthToSpaceSupported(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">DepthToSpaceDescriptor</a>& descriptor,</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> <span class="keyword"></span>{</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a116d88067bf98ce9858ab73e68f605f9">NeonDepthToSpaceWorkloadValidate</a>,</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  reasonIfUnsupported,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  input,</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  output,</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  descriptor);</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> }</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> </div><div class="line"><a name="l00314"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#adc84390751f227fe03a115b5fa10b0fc"> 314</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a399d38872500c6ac84ae031673176ef3">NeonLayerSupport::IsDepthwiseConvolutionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</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.html">TensorInfo</a>& output,</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& weights,</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span> <span class="keyword"></span>{</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a168ebb908e1ee4bac24cb7992510de73">NeonDepthwiseConvolutionWorkloadValidate</a>,</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  reasonIfUnsupported,</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  input,</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  output,</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  descriptor,</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  weights,</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  biases);</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span> }</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div><div class="line"><a name="l00330"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a2e89c72cf60df7c2d2d7e5d98822b672"> 330</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#ac92dceabfbc1e46fe74f699f733886a8">NeonLayerSupport::IsDequantizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> <span class="keyword"></span>{</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#acefede7cc57c71ea4cfe1c888bb413e0">NeonDequantizeWorkloadValidate</a>,</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  reasonIfUnsupported,</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  input,</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  output);</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span> }</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> </div><div class="line"><a name="l00340"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a16c8cd49a7fa487b904b5c9cc83673e7"> 340</a></span> <span class="keywordtype">bool</span> NeonLayerSupport::IsDilatedDepthwiseConvolutionSupported(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</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.html">TensorInfo</a>& output,</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& weights,</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> <span class="keyword"></span>{</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a168ebb908e1ee4bac24cb7992510de73">NeonDepthwiseConvolutionWorkloadValidate</a>,</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  reasonIfUnsupported,</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  input,</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  output,</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  descriptor,</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  weights,</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  biases);</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> }</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> </div><div class="line"><a name="l00356"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a61c5b4e5dc224ef0c876e43353b34030"> 356</a></span> <span class="keywordtype">bool</span> NeonLayerSupport::IsElementwiseUnarySupported(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.html">ElementwiseUnaryDescriptor</a>& descriptor,</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> <span class="keyword"></span>{</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.html#afe768be66897eb3d73284424e3239b23">m_Operation</a> == UnaryOperation::Abs)</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  {</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#afc773aec6f845adc0cc547ce475dfe3f">NeonAbsWorkloadValidate</a>,</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  reasonIfUnsupported,</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  input,</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  output);</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.html#afe768be66897eb3d73284424e3239b23">m_Operation</a> == UnaryOperation::Rsqrt)</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  {</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#aa7d1b5e38aa8cb731519ff12e2a73350">NeonRsqrtWorkloadValidate</a>,</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  reasonIfUnsupported,</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  input,</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  output);</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</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>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span> }</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> </div><div class="line"><a name="l00379"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a53c7593d1aa26207eac5d5814a9d56dc"> 379</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a89e9c52419c572f05bf9737a7a60b267">NeonLayerSupport::IsFloorSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> <span class="keyword"></span>{</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  ignore_unused(output);</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keywordflow">return</span> IsNeonBackendSupported(reasonIfUnsupported) &&</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <a class="code" href="namespacearmnn.html#af6dbe371ec651a8e0063624fdf32afc0">IsSupportedForDataTypeGeneric</a>(reasonIfUnsupported,</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  input.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>(),</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  &FalseFuncF16<>,</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  &TrueFunc<>,</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>  &FalseFuncI32<>,</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  &FalseFuncU8<>);</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> }</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span> </div><div class="line"><a name="l00394"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#aeaf971dd9dffd6f6bc7e5a1ae6b6af5c"> 394</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#aa2f4e75d4a4f61b24de0dfe150952c80">NeonLayerSupport::IsFullyConnectedSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</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.html">TensorInfo</a>& output,</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& weights,</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& biases,</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.html">FullyConnectedDescriptor</a>& descriptor,</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> <span class="keyword"></span>{</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a0b7897a2a04016aa7fa24e2a1d10e944">NeonFullyConnectedWorkloadValidate</a>,</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  reasonIfUnsupported,</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  input,</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  output,</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  weights,</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  biases,</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  descriptor);</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span> }</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> </div><div class="line"><a name="l00410"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a14e45f3699e823d7859d5d352d89265c"> 410</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#adffa596b4bdecd54ca460853cd1439e2">NeonLayerSupport::IsGreaterSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& input0,</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& input1,</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& output,</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> <span class="keyword"></span>{</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <a class="code" href="structarmnn_1_1_comparison_descriptor.html">ComparisonDescriptor</a> descriptor(ComparisonOperation::Greater);</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordflow">return</span> IsComparisonSupported(input0, input1, output, descriptor, reasonIfUnsupported);</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> }</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> </div><div class="line"><a name="l00419"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#ad29d99ecd719c640ed22dcf5c688c6a5"> 419</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a197a353aa963497d29a07796268ea5c1">NeonLayerSupport::IsInputSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> <span class="keyword"></span>{</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keywordflow">return</span> IsNeonBackendSupported(reasonIfUnsupported, input);</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> }</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> </div><div class="line"><a name="l00425"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a0813546a09bf2caba6794014d1960624"> 425</a></span> <span class="keywordtype">bool</span> NeonLayerSupport::IsInstanceNormalizationSupported(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.html">InstanceNormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span> <span class="keyword"></span>{</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#aea722abe239545030f4c6fe4e083816f">NeonInstanceNormalizationWorkloadValidate</a>,</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  reasonIfUnsupported,</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  input,</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  output,</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  descriptor);</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span> }</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> </div><div class="line"><a name="l00437"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#aca4acda7ab553edfda828658d8f3882b"> 437</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a0906736b90464c0eb3ce5a87e05ebeee">NeonLayerSupport::IsL2NormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.html">L2NormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span> <span class="keyword"></span>{</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#ae838df3960d2b5d18d73ed2a07aee917">NeonL2NormalizationWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span> }</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> </div><div class="line"><a name="l00445"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a862535721737220f62a49f14ff494dd5"> 445</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a3e8b3af7771ffb37ede50aa2d9cc3af6">NeonLayerSupport::IsLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</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.html">TensorInfo</a>& outputStateIn,</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.html">TensorInfo</a>& cellStateIn,</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.html">TensorInfo</a>& scratchBuffer,</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.html">TensorInfo</a>& outputStateOut,</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& cellStateOut,</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">LstmDescriptor</a>& descriptor,</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a>& paramsInfo,</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> <span class="keyword"></span>{</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a9e06cc2a2ac8b88fc72972695a17910f">NeonLstmFloatWorkloadValidate</a>,</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  reasonIfUnsupported,</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  input,</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  outputStateIn,</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  cellStateIn,</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  scratchBuffer,</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  outputStateOut,</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  cellStateOut,</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  output,</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  descriptor,</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  paramsInfo);</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> }</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> </div><div class="line"><a name="l00469"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#afef9436c86b37b973471f2ae546ac00a"> 469</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a3b85a270baf98ea6b040bd395c2d700a">NeonLayerSupport::IsMaximumSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input0,</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input1,</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> <span class="keyword"></span>{</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a8d2ea79addd8ef64be2ca0dad3408f00">NeonMaximumWorkloadValidate</a>,</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  reasonIfUnsupported,</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  input0,</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  input1,</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  output);</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span> }</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span> </div><div class="line"><a name="l00481"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#ab268618580d4f53bf5e9b5a47dee3f6a"> 481</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a0cdc60b4988b2193b97590e35f34a07e">NeonLayerSupport::IsMeanSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.html">MeanDescriptor</a>& descriptor,</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span> <span class="keyword"></span>{</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#ab81dd6d40850f8fea025ee7ce51f86d0">NeonMeanWorkloadValidate</a>,</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  reasonIfUnsupported,</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  input,</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  output,</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  descriptor);</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span> }</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span> </div><div class="line"><a name="l00493"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#aa9309ea64f9f7447efe3567f77417d29"> 493</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a6e2c7ec2b8d47bde2bc9fa04bb2091f6">NeonLayerSupport::IsMergerSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*> inputs,</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.html">MergerDescriptor</a>& descriptor,</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> <span class="keyword"></span>{</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a757df85e956e425c1a082d35a98ca4a9">IsConcatSupported</a>(inputs, output, descriptor, reasonIfUnsupported);</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> }</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span> </div><div class="line"><a name="l00501"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a3d0eafb3de560b3482f857b56b2b2116"> 501</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#ab99d3d944b80f47bd1be70f63cc60abb">NeonLayerSupport::IsMinimumSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input0,</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input1,</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span> <span class="keyword"></span>{</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#ab81159ebfa638af1b91fe1e8c5de1955">NeonMinimumWorkloadValidate</a>,</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  reasonIfUnsupported,</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  input0,</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  input1,</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  output);</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span> }</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> </div><div class="line"><a name="l00513"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a421e1f3865d99d52613003048342c49a"> 513</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a56ff60c2946bf0b7e772007acce0d7ec">NeonLayerSupport::IsMultiplicationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input0,</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input1,</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span> <span class="keyword"></span>{</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a38bdbed2a1e28ab15cac0cc0f42c3fa6">NeonMultiplicationWorkloadValidate</a>,</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  reasonIfUnsupported,</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  input0,</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  input1,</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  output);</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span> }</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span> </div><div class="line"><a name="l00525"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a08f55136b1f0907e7083d70d719f697f"> 525</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a29b4b6b364a31632597970d0bad3d78f">NeonLayerSupport::IsDivisionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input0,</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input1,</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span> <span class="keyword"></span>{</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a3a62359fc5ebfe9628871c0ba79fb37c">NeonDivisionWorkloadValidate</a>,</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  reasonIfUnsupported,</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  input0,</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  input1,</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  output);</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span> }</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span> </div><div class="line"><a name="l00537"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a994c2065561141bf37fcd2ff7bb4af4d"> 537</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a754b0ac19fd6341ce2b5f480c3b35e8e">NeonLayerSupport::IsNormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.html">NormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> <span class="keyword"></span>{</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a2ec6297db90d1d4c258c13d2d72b13d9">NeonNormalizationWorkloadValidate</a>,</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  reasonIfUnsupported,</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  input,</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  output,</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  descriptor);</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> }</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span> </div><div class="line"><a name="l00549"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#aef3244c0ef64c8f2f352d21ce0c06985"> 549</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a701cecec7714cf8bc9dca804f473610d">NeonLayerSupport::IsOutputSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span> <span class="keyword"></span>{</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keywordflow">return</span> IsNeonBackendSupported(reasonIfUnsupported, output);</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span> }</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span> </div><div class="line"><a name="l00555"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a0534291adf9f3436ba331552eba29a43"> 555</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a515e8a98d7ef9ecda64a2e1e5298461a">NeonLayerSupport::IsPadSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.html">PadDescriptor</a>& descriptor,</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span> <span class="keyword"></span>{</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a39209c0c078e83227222eb885317c2c5">NeonPadWorkloadValidate</a>,</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  reasonIfUnsupported,</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  input,</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  output,</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  descriptor);</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span> }</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span> </div><div class="line"><a name="l00567"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a9d553495d9a94fa55588ae159d8bda30"> 567</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#aa3a1bea3b3cd5611f13c06020dababc4">NeonLayerSupport::IsPermuteSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.html">PermuteDescriptor</a>& descriptor,</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span> <span class="keyword"></span>{</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a70650f6b1d3b8511fcdb989ca769cdbb">NeonPermuteWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span> }</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> </div><div class="line"><a name="l00575"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#aa955675303d67b1d1fb51fb7f09d8c21"> 575</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#aea548aa1485adbeeb3e393a13bb6bff8">NeonLayerSupport::IsPooling2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.html">Pooling2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span> <span class="keyword"></span>{</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a1f07655db8ad7f2738bb0d3d9e2316cc">NeonPooling2dWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span> }</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span> </div><div class="line"><a name="l00583"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a4b36dcedd5edbd5142b3548967aadc2f"> 583</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a5a0c1871f7e4822adb8b15e8ae76bca0">NeonLayerSupport::IsPreluSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &input,</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &alpha,</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &output,</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional<std::string &></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span> <span class="keyword"></span>{</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a188adc104b16db3dc23ed2c5ff06cbb8">NeonPreluWorkloadValidate</a>, reasonIfUnsupported, input, alpha, output);</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span> }</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span> </div><div class="line"><a name="l00591"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#ad2c7be6b84b04444e514f52f593b3df7"> 591</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a599a95f708fa0b6a6230dc6c9e73ea3e">NeonLayerSupport::IsQuantizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span> <span class="keyword"></span>{</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a4d1e35c8bbe48e99dd522ac0f75f77d7">NeonQuantizeWorkloadValidate</a>,</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  reasonIfUnsupported,</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  input,</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  output);</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span> }</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span> </div><div class="line"><a name="l00601"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a281eb6ce87b6ca147e681dd3f6483a87"> 601</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a4069381c4737d57fc7fd299a61ad9ca1">NeonLayerSupport::IsQuantizedLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& cellStateIn,</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.html">TensorInfo</a>& outputStateIn,</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& cellStateOut,</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputStateOut,</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html">QuantizedLstmInputParamsInfo</a>& paramsInfo,</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span> <span class="keyword"></span>{</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#ae83632e641892ad2de78f316376f6bd0">NeonQuantizedLstmWorkloadValidate</a>,</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  reasonIfUnsupported,</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  input,</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  cellStateIn,</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  outputStateIn,</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  cellStateOut,</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  outputStateOut,</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  paramsInfo);</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span> }</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span> </div><div class="line"><a name="l00619"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#aa02f01bbcb48c67f5b2efc4132ec5e86"> 619</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#af5014cbc003abcf201d4372b0012734c">NeonLayerSupport::IsReshapeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.html">ReshapeDescriptor</a>& descriptor,</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span> <span class="keyword"></span>{</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  ignore_unused(descriptor);</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a430021076042c8157a926a3bb3a37152">NeonReshapeWorkloadValidate</a>,</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  reasonIfUnsupported,</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  input,</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  output);</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span> }</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span> </div><div class="line"><a name="l00631"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a3d27a3fc6a7df0b68d80cb113aff8b6c"> 631</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a90a1aadb53c7537f225252afd681ff22">NeonLayerSupport::IsResizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.html">ResizeDescriptor</a>& descriptor,</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span> <span class="keyword"></span>{</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a552d65f4e0a6c9e7c7796e77590063e9">NeonResizeWorkloadValidate</a>,</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  reasonIfUnsupported,</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  input,</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  output,</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  descriptor);</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span> }</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span> </div><div class="line"><a name="l00643"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a0f29f31e1ba46a52eedcdecd34f4cc24"> 643</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a936d3f949a334668f839fb0bdd170b72">NeonLayerSupport::IsResizeBilinearSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span> <span class="keyword"></span>{</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  <a class="code" href="structarmnn_1_1_resize_descriptor.html">ResizeDescriptor</a> descriptor;</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  descriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.html#a869254cb56968986a78a79e1d6d4a86b">m_Method</a> = ResizeMethod::Bilinear;</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  descriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = DataLayout::NCHW;</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span> </div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& outputShape = output.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  descriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.html#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a> = outputShape[2];</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  descriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.html#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a> = outputShape[3];</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a90a1aadb53c7537f225252afd681ff22">IsResizeSupported</a>(input, output, descriptor, reasonIfUnsupported);</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span> }</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span> </div><div class="line"><a name="l00658"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a10ae4d84b0d31580f6fcd5107322ebcf"> 658</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#accc42ba9679a474e75b43cdf1efa9422">NeonLayerSupport::IsRsqrtSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span> <span class="keyword"></span>{</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.html">ElementwiseUnaryDescriptor</a> descriptor(UnaryOperation::Rsqrt);</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keywordflow">return</span> IsElementwiseUnarySupported(input, output, descriptor, reasonIfUnsupported);</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span> }</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span> </div><div class="line"><a name="l00666"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a0e14dafa85cfcd4a6b6b752284b51e63"> 666</a></span> <span class="keywordtype">bool</span> NeonLayerSupport::IsSliceSupported(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.html">SliceDescriptor</a>& descriptor,</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span> <span class="keyword"></span>{</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a0a223c0997e3f7faa373ed55f954252b">NeonSliceWorkloadValidate</a>,</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  reasonIfUnsupported,</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  input,</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  output,</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  descriptor);</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span> }</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span> </div><div class="line"><a name="l00678"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a8385cf8227907904a6a86fac318fc099"> 678</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a477695b3df8c0abd2efcf02051f61065">NeonLayerSupport::IsSoftmaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.html">SoftmaxDescriptor</a>& descriptor,</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span> <span class="keyword"></span>{</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a4077a9771ba9c551f4ce61863f65e798">NeonSoftmaxWorkloadValidate</a>, reasonIfUnsupported, input, output, descriptor);</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span> }</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span> </div><div class="line"><a name="l00686"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a3adfc31e079a970e028e537ec05fabf5"> 686</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a4b3a41e24d4b9e2b4cb431dc90c48970">NeonLayerSupport::IsSpaceToBatchNdSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html">SpaceToBatchNdDescriptor</a>& descriptor,</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span> <span class="keyword"></span>{</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#ab29257da888af2c4971db1344d8a526c">NeonSpaceToBatchNdWorkloadValidate</a>,</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  reasonIfUnsupported,</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  input,</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  output,</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  descriptor);</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span> }</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span> </div><div class="line"><a name="l00698"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#ab2af1e7da9490d29e569d271e16b0d5c"> 698</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#addffaddb4bdb6ec506fe08debcce9b75">NeonLayerSupport::IsSpaceToDepthSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">SpaceToDepthDescriptor</a>& descriptor,</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span> <span class="keyword"></span>{</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#af6d2d40482240def4614deb694933d1e">NeonSpaceToDepthWorkloadValidate</a>,</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  reasonIfUnsupported,</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  input,</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  output,</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  descriptor);</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span> }</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span> </div><div class="line"><a name="l00710"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a17dd12822d49a23d24198f425a6fb9c4"> 710</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a7ce5f7168bf0d1e7efe269d59ed564ba">NeonLayerSupport::IsSplitterSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.html">ViewsDescriptor</a>& descriptor,</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span> <span class="keyword"></span>{</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  ignore_unused(descriptor);</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <span class="keywordflow">return</span> IsSupportedForDataTypeNeon(reasonIfUnsupported,</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  input.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>(),</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  &TrueFunc<>,</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  &TrueFunc<>);</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span> }</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span> </div><div class="line"><a name="l00721"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#aa746e752ce8874669ea549f8e50896da"> 721</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a7ce5f7168bf0d1e7efe269d59ed564ba">NeonLayerSupport::IsSplitterSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <span class="keyword">const</span> std::vector<std::reference_wrapper<TensorInfo>>& outputs,</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.html">ViewsDescriptor</a>& descriptor,</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span> <span class="keyword"></span>{</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span> <span class="preprocessor">#if defined(ARMCOMPUTENEON_ENABLED)</span></div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <span class="comment">// Split along the last dimension, cannot use sub-tensors</span></div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  <span class="comment">// as width and height of the sub-tensors do not match</span></div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  <span class="comment">// the width and height of the parent tensor</span></div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <span class="comment">// in case of input with more than 2D.</span></div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  std::set<unsigned int> splitAxis = <a class="code" href="namespacearmnn.html#a8cbabc875597b3bed0ccdc0adb289fde">ComputeSplitAxis</a>(descriptor, input.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>() > 2 && splitAxis.size() == 1 &&</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  *splitAxis.begin() == descriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>() - 1 )</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  {</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#aab5ea316b3decb05430323d847e3a773">NeonSplitterWorkloadValidate</a>,</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  reasonIfUnsupported,</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  input,</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  outputs,</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  *splitAxis.begin());</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  }</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  boost::ignore_unused(descriptor);</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> output : outputs)</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>  <span class="keywordflow">if</span> (!input.<a class="code" href="classarmnn_1_1_tensor_info.html#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="l00746"></a><span class="lineno"> 746</span>  {</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  <a class="code" href="namespacearmnn.html#a13c7d751e4d37f65a6d40c3c6e50d2b8">SetValueChecked</a>(reasonIfUnsupported, <span class="stringliteral">"Neon Splitter: Types and quantization parameters must match."</span>);</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  }</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  }</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span> }</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span> </div><div class="line"><a name="l00754"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#ab4609f1baf5fcd295951f3c8abdffd90"> 754</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a10e8442be2b8596afd5770e98b904caa">NeonLayerSupport::IsStackSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*>& inputs,</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.html">StackDescriptor</a>& descriptor,</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span> <span class="keyword"></span>{</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a65c83c74bdbd66cdd547d331998952eb">NeonStackWorkloadValidate</a>,</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  reasonIfUnsupported,</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  inputs,</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  output,</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  descriptor);</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span> }</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span> </div><div class="line"><a name="l00766"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#ac054cb25099005eac854afb1511340f0"> 766</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#aebe3dc6730e1b29aee9c9f33b8f94121">NeonLayerSupport::IsStridedSliceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.html">StridedSliceDescriptor</a>& descriptor,</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span> <span class="keyword"></span>{</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#ac71d08bf1257807c112b4d019802acc3">NeonStridedSliceWorkloadValidate</a>,</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  reasonIfUnsupported,</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  input,</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  output,</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  descriptor);</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span> }</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span> </div><div class="line"><a name="l00778"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#af6c947e4d4b25bc49d92d18d4ff26736"> 778</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#afbf752a51fa513e0a54e343be130d962">NeonLayerSupport::IsSubtractionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input0,</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input1,</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span> <span class="keyword"></span>{</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#a73c15f02c46f64c1adf0fafb4c7c2cac">NeonSubtractionWorkloadValidate</a>,</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  reasonIfUnsupported,</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  input0,</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  input1,</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  output);</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span> }</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span> </div><div class="line"><a name="l00790"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_layer_support.html#a0c69484f19ed650ad48b716719114e51"> 790</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#ac6cc8e0bd35d229486fe6d844d88e0d4">NeonLayerSupport::IsTransposeConvolution2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</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.html">TensorInfo</a>& output,</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& weights,</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span> <span class="keyword"></span>{</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  <a class="code" href="_neon_layer_support_8cpp.html#af0383f6bb43d6d5df6f3265367b6ebf9">FORWARD_WORKLOAD_VALIDATE_FUNC</a>(<a class="code" href="namespacearmnn.html#abc73c3c9a09f91c22c64d7c166e9be4d">NeonTransposeConvolution2dWorkloadValidate</a>,</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  reasonIfUnsupported,</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  input,</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  output,</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  descriptor,</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  weights,</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  biases);</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span> }</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span> </div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="namespacearmnn_html_a4d1e35c8bbe48e99dd522ac0f75f77d7"><div class="ttname"><a href="namespacearmnn.html#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.html#l00019">NeonQuantizeWorkload.cpp:19</a></div></div> |
| <div class="ttc" id="_neon_batch_to_space_nd_workload_8hpp_html"><div class="ttname"><a href="_neon_batch_to_space_nd_workload_8hpp.html">NeonBatchToSpaceNdWorkload.hpp</a></div></div> |
| <div class="ttc" id="_neon_minimum_workload_8hpp_html"><div class="ttname"><a href="_neon_minimum_workload_8hpp.html">NeonMinimumWorkload.hpp</a></div></div> |
| <div class="ttc" id="_neon_backend_id_8hpp_html"><div class="ttname"><a href="_neon_backend_id_8hpp.html">NeonBackendId.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a61d1f39297fec6e3062e4047dc5f236e"><div class="ttname"><a href="namespacearmnn.html#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.html#l00029">NeonArgMinMaxWorkload.cpp:29</a></div></div> |
| <div class="ttc" id="_neon_fully_connected_workload_8hpp_html"><div class="ttname"><a href="_neon_fully_connected_workload_8hpp.html">NeonFullyConnectedWorkload.hpp</a></div></div> |
| <div class="ttc" id="_neon_subtraction_workload_8hpp_html"><div class="ttname"><a href="_neon_subtraction_workload_8hpp.html">NeonSubtractionWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a00623eeb8f77dac6dbbc1395b5270dbb"><div class="ttname"><a href="namespacearmnn.html#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.html#l00016">NeonBatchToSpaceNdWorkload.cpp:16</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_af64bb043263ba7d09c98fd88da60726d"><div class="ttname"><a href="namespacearmnn.html#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.html#l00022">NeonConvolution2dWorkload.cpp:22</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_html_afe768be66897eb3d73284424e3239b23"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.html#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.html#l00098">Descriptors.hpp:98</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00657">Descriptors.hpp:657</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a2399052d9cbb2b88720b07511a2e362f"><div class="ttname"><a href="namespacearmnn.html#a2399052d9cbb2b88720b07511a2e362f">armnn::IsBatchToSpaceNdSupported</a></div><div class="ttdeci">bool IsBatchToSpaceNdSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00126">LayerSupport.cpp:126</a></div></div> |
| <div class="ttc" id="_neon_mean_workload_8hpp_html"><div class="ttname"><a href="_neon_mean_workload_8hpp.html">NeonMeanWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a46495807633a01d826851e1cb498f071"><div class="ttname"><a href="namespacearmnn.html#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.html#l00015">NeonActivationWorkload.cpp:15</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00026">Types.hpp:26</a></div></div> |
| <div class="ttc" id="namespaceboost_html"><div class="ttname"><a href="namespaceboost.html">boost</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.html">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00551">Descriptors.hpp:551</a></div></div> |
| <div class="ttc" id="_neon_pad_workload_8hpp_html"><div class="ttname"><a href="_neon_pad_workload_8hpp.html">NeonPadWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a0b7897a2a04016aa7fa24e2a1d10e944"><div class="ttname"><a href="namespacearmnn.html#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.html#l00019">NeonFullyConnectedWorkload.cpp:19</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a8a219633e750d6daffcef3b641fa11f3"><div class="ttname"><a href="namespacearmnn.html#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.html#l00028">NeonConcatWorkload.cpp:28</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_aa2f4e75d4a4f61b24de0dfe150952c80"><div class="ttname"><a href="namespacearmnn.html#aa2f4e75d4a4f61b24de0dfe150952c80">armnn::IsFullyConnectedSupported</a></div><div class="ttdeci">bool IsFullyConnectedSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const TensorInfo &biases, const FullyConnectedDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00296">LayerSupport.cpp:296</a></div></div> |
| <div class="ttc" id="_neon_quantize_workload_8hpp_html"><div class="ttname"><a href="_neon_quantize_workload_8hpp.html">NeonQuantizeWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ab81dd6d40850f8fea025ee7ce51f86d0"><div class="ttname"><a href="namespacearmnn.html#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.html#l00018">NeonMeanWorkload.cpp:18</a></div></div> |
| <div class="ttc" id="_neon_permute_workload_8hpp_html"><div class="ttname"><a href="_neon_permute_workload_8hpp.html">NeonPermuteWorkload.hpp</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00270">Optional.hpp:270</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_resize_descriptor_html_a46c3fa15c46fb0d1dcdc24d0ea5cb5cd"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#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.html#l00746">Descriptors.hpp:746</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a65c83c74bdbd66cdd547d331998952eb"><div class="ttname"><a href="namespacearmnn.html#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.html#l00028">NeonStackWorkload.cpp:28</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_accc42ba9679a474e75b43cdf1efa9422"><div class="ttname"><a href="namespacearmnn.html#accc42ba9679a474e75b43cdf1efa9422">armnn::IsRsqrtSupported</a></div><div class="ttdeci">bool IsRsqrtSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00568">LayerSupport.cpp:568</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a8cbabc875597b3bed0ccdc0adb289fde"><div class="ttname"><a href="namespacearmnn.html#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.html#l00154">ArmComputeUtils.hpp:154</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_resize_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#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.html#l00751">Descriptors.hpp:751</a></div></div> |
| <div class="ttc" id="_neon_quantized_lstm_workload_8hpp_html"><div class="ttname"><a href="_neon_quantized_lstm_workload_8hpp.html">NeonQuantizedLstmWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a936d3f949a334668f839fb0bdd170b72"><div class="ttname"><a href="namespacearmnn.html#a936d3f949a334668f839fb0bdd170b72">armnn::IsResizeBilinearSupported</a></div><div class="ttdeci">bool IsResizeBilinearSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00552">LayerSupport.cpp:552</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_pad_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html">armnn::PadDescriptor</a></div><div class="ttdoc">A PadDescriptor for the PadLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00901">Descriptors.hpp:901</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_activation_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00020">Descriptors.hpp:20</a></div></div> |
| <div class="ttc" id="_neon_prelu_workload_8hpp_html"><div class="ttname"><a href="_neon_prelu_workload_8hpp.html">NeonPreluWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ac6cc8e0bd35d229486fe6d844d88e0d4"><div class="ttname"><a href="namespacearmnn.html#ac6cc8e0bd35d229486fe6d844d88e0d4">armnn::IsTransposeConvolution2dSupported</a></div><div class="ttdeci">bool IsTransposeConvolution2dSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const TransposeConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div></div> |
| <div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.html">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00610">Descriptors.hpp:610</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a168ebb908e1ee4bac24cb7992510de73"><div class="ttname"><a href="namespacearmnn.html#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.html#l00028">NeonDepthwiseConvolutionWorkload.cpp:28</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_resize_descriptor_html_a869254cb56968986a78a79e1d6d4a86b"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#a869254cb56968986a78a79e1d6d4a86b">armnn::ResizeDescriptor::m_Method</a></div><div class="ttdeci">ResizeMethod m_Method</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00749">Descriptors.hpp:749</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a58bfb9626d373249745d78b95543116e"><div class="ttname"><a href="namespacearmnn.html#a58bfb9626d373249745d78b95543116e">armnn::IsActivationSupported</a></div><div class="ttdeci">bool IsActivationSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const ActivationDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00069">LayerSupport.cpp:69</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_af5014cbc003abcf201d4372b0012734c"><div class="ttname"><a href="namespacearmnn.html#af5014cbc003abcf201d4372b0012734c">armnn::IsReshapeSupported</a></div><div class="ttdeci">bool IsReshapeSupported(const BackendId &backend, const TensorInfo &input, const ReshapeDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div></div> |
| <div class="ttc" id="namespacearmnn_html_a7d18d6613bb865b66b05d4d6e0391934"><div class="ttname"><a href="namespacearmnn.html#a7d18d6613bb865b66b05d4d6e0391934">armnn::IsBatchNormalizationSupported</a></div><div class="ttdeci">bool IsBatchNormalizationSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00104">LayerSupport.cpp:104</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a4069381c4737d57fc7fd299a61ad9ca1"><div class="ttname"><a href="namespacearmnn.html#a4069381c4737d57fc7fd299a61ad9ca1">armnn::IsQuantizedLstmSupported</a></div><div class="ttdeci">bool IsQuantizedLstmSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &previousCellStateIn, const TensorInfo &previousOutputIn, const TensorInfo &cellStateOut, const TensorInfo &output, const QuantizedLstmInputParamsInfo &paramsInfo, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00486">LayerSupport.cpp:486</a></div></div> |
| <div class="ttc" id="_neon_stack_workload_8hpp_html"><div class="ttname"><a href="_neon_stack_workload_8hpp.html">NeonStackWorkload.hpp</a></div></div> |
| <div class="ttc" id="_neon_batch_normalization_workload_8hpp_html"><div class="ttname"><a href="_neon_batch_normalization_workload_8hpp.html">NeonBatchNormalizationWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a4b3a41e24d4b9e2b4cb431dc90c48970"><div class="ttname"><a href="namespacearmnn.html#a4b3a41e24d4b9e2b4cb431dc90c48970">armnn::IsSpaceToBatchNdSupported</a></div><div class="ttdeci">bool IsSpaceToBatchNdSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const SpaceToBatchNdDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00591">LayerSupport.cpp:591</a></div></div> |
| <div class="ttc" id="_layer_support_common_8hpp_html"><div class="ttname"><a href="_layer_support_common_8hpp.html">LayerSupportCommon.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a39209c0c078e83227222eb885317c2c5"><div class="ttname"><a href="namespacearmnn.html#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.html#l00048">NeonPadWorkload.cpp:48</a></div></div> |
| <div class="ttc" id="_neon_greater_workload_8hpp_html"><div class="ttname"><a href="_neon_greater_workload_8hpp.html">NeonGreaterWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a6c856ceba1828fe201b2b6c032d70371"><div class="ttname"><a href="namespacearmnn.html#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.html#l00020">NeonBatchNormalizationWorkload.cpp:20</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_abc73c3c9a09f91c22c64d7c166e9be4d"><div class="ttname"><a href="namespacearmnn.html#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.html#l00026">NeonTransposeConvolution2dWorkload.cpp:26</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_l2_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.html">armnn::L2NormalizationDescriptor</a></div><div class="ttdoc">A L2NormalizationDescriptor for the L2NormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00591">Descriptors.hpp:591</a></div></div> |
| <div class="ttc" id="_neon_convolution2d_workload_8hpp_html"><div class="ttname"><a href="_neon_convolution2d_workload_8hpp.html">NeonConvolution2dWorkload.hpp</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_views_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.html">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer. Descriptor to configure the splitting process. Number of Views must be equal to the number of outputs, and their order must match - e.g. first view corresponds to the first output, second view to the second output, etc. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00190">Descriptors.hpp:190</a></div></div> |
| <div class="ttc" id="_neon_space_to_batch_nd_workload_8hpp_html"><div class="ttname"><a href="_neon_space_to_batch_nd_workload_8hpp.html">NeonSpaceToBatchNdWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_addffaddb4bdb6ec506fe08debcce9b75"><div class="ttname"><a href="namespacearmnn.html#addffaddb4bdb6ec506fe08debcce9b75">armnn::IsSpaceToDepthSupported</a></div><div class="ttdeci">bool IsSpaceToDepthSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00601">LayerSupport.cpp:601</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_afc773aec6f845adc0cc547ce475dfe3f"><div class="ttname"><a href="namespacearmnn.html#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.html#l00018">NeonAbsWorkload.cpp:18</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_adffa596b4bdecd54ca460853cd1439e2"><div class="ttname"><a href="namespacearmnn.html#adffa596b4bdecd54ca460853cd1439e2">armnn::IsGreaterSupported</a></div><div class="ttdeci">bool IsGreaterSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00318">LayerSupport.cpp:318</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_aa7d1b5e38aa8cb731519ff12e2a73350"><div class="ttname"><a href="namespacearmnn.html#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.html#l00018">NeonRsqrtWorkload.cpp:18</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_aebe3dc6730e1b29aee9c9f33b8f94121"><div class="ttname"><a href="namespacearmnn.html#aebe3dc6730e1b29aee9c9f33b8f94121">armnn::IsStridedSliceSupported</a></div><div class="ttdeci">bool IsStridedSliceSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const StridedSliceDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00633">LayerSupport.cpp:633</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_input_params_info_html"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html">armnn::LstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00063">LstmParams.hpp:63</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00810">Descriptors.hpp:810</a></div></div> |
| <div class="ttc" id="_neon_resize_workload_8hpp_html"><div class="ttname"><a href="_neon_resize_workload_8hpp.html">NeonResizeWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a2ec6297db90d1d4c258c13d2d72b13d9"><div class="ttname"><a href="namespacearmnn.html#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.html#l00047">NeonNormalizationFloatWorkload.cpp:47</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a02847c99a2acae3b267615479f93ab55"><div class="ttname"><a href="namespacearmnn.html#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.html#l00031">ISubgraphViewConverter.hpp:31</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_reshape_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.html">armnn::ReshapeDescriptor</a></div><div class="ttdoc">A ReshapeDescriptor for the ReshapeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00758">Descriptors.hpp:758</a></div></div> |
| <div class="ttc" id="_neon_space_to_depth_workload_8hpp_html"><div class="ttname"><a href="_neon_space_to_depth_workload_8hpp.html">NeonSpaceToDepthWorkload.hpp</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html">armnn::TransposeConvolution2dDescriptor</a></div><div class="ttdoc">A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01079">Descriptors.hpp:1079</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_af6d2d40482240def4614deb694933d1e"><div class="ttname"><a href="namespacearmnn.html#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.html#l00015">NeonSpaceToDepthWorkload.cpp:15</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_acefede7cc57c71ea4cfe1c888bb413e0"><div class="ttname"><a href="namespacearmnn.html#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.html#l00021">NeonDequantizeWorkload.cpp:21</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.html">armnn::ElementwiseUnaryDescriptor</a></div><div class="ttdoc">A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00082">Descriptors.hpp:82</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a3b85a270baf98ea6b040bd395c2d700a"><div class="ttname"><a href="namespacearmnn.html#a3b85a270baf98ea6b040bd395c2d700a">armnn::IsMaximumSupported</a></div><div class="ttdeci">bool IsMaximumSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnSupported=nullptr, size_t reasonIfUnSupportedMaxLength=0)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00365">LayerSupport.cpp:365</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a757df85e956e425c1a082d35a98ca4a9"><div class="ttname"><a href="namespacearmnn.html#a757df85e956e425c1a082d35a98ca4a9">armnn::IsConcatSupported</a></div><div class="ttdeci">bool IsConcatSupported(const BackendId &backend, const std::vector< const TensorInfo *> inputs, const TensorInfo &output, const OriginsDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div></div> |
| <div class="ttc" id="namespacearmnn_html_a4077a9771ba9c551f4ce61863f65e798"><div class="ttname"><a href="namespacearmnn.html#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.html#l00016">NeonSoftmaxBaseWorkload.cpp:16</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ae83632e641892ad2de78f316376f6bd0"><div class="ttname"><a href="namespacearmnn.html#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.html#l00130">NeonQuantizedLstmWorkload.cpp:130</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a29b4b6b364a31632597970d0bad3d78f"><div class="ttname"><a href="namespacearmnn.html#a29b4b6b364a31632597970d0bad3d78f">armnn::IsDivisionSupported</a></div><div class="ttdeci">bool IsDivisionSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00248">LayerSupport.cpp:248</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a430021076042c8157a926a3bb3a37152"><div class="ttname"><a href="namespacearmnn.html#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.html#l00017">NeonReshapeWorkload.cpp:17</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a1b01771dc5a057d09f8cd82492154a1f"><div class="ttname"><a href="namespacearmnn.html#a1b01771dc5a057d09f8cd82492154a1f">armnn::IsAdditionSupported</a></div><div class="ttdeci">bool IsAdditionSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00079">LayerSupport.cpp:79</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_views_descriptor_html_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.html#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.html#l00292">Descriptors.cpp:292</a></div></div> |
| <div class="ttc" id="_arm_compute_tensor_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.html">ArmComputeTensorUtils.hpp</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_tensor_info_html_a22f377fc4e10dc1773a3f979061e85f1"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00218">Tensor.cpp:218</a></div></div> |
| <div class="ttc" id="_neon_l2_normalization_float_workload_8hpp_html"><div class="ttname"><a href="_neon_l2_normalization_float_workload_8hpp.html">NeonL2NormalizationFloatWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_aea722abe239545030f4c6fe4e083816f"><div class="ttname"><a href="namespacearmnn.html#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.html#l00019">NeonInstanceNormalizationWorkload.cpp:19</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a0a223c0997e3f7faa373ed55f954252b"><div class="ttname"><a href="namespacearmnn.html#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.html#l00019">NeonSliceWorkload.cpp:19</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00837">Descriptors.hpp:837</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_origins_descriptor_html_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#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.html#l00184">Descriptors.cpp:184</a></div></div> |
| <div class="ttc" id="_neon_strided_slice_workload_8hpp_html"><div class="ttname"><a href="_neon_strided_slice_workload_8hpp.html">NeonStridedSliceWorkload.hpp</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_origins_descriptor_html_a379929e3b277f1ef94f3ce645870589d"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#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.html#l00154">Descriptors.cpp:154</a></div></div> |
| <div class="ttc" id="_descriptors_8hpp_html"><div class="ttname"><a href="_descriptors_8hpp.html">Descriptors.hpp</a></div></div> |
| <div class="ttc" id="_neon_concat_workload_8hpp_html"><div class="ttname"><a href="_neon_concat_workload_8hpp.html">NeonConcatWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a5a0c1871f7e4822adb8b15e8ae76bca0"><div class="ttname"><a href="namespacearmnn.html#a5a0c1871f7e4822adb8b15e8ae76bca0">armnn::IsPreluSupported</a></div><div class="ttdeci">bool IsPreluSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &alpha, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00521">LayerSupport.cpp:521</a></div></div> |
| <div class="ttc" id="_neon_lstm_float_workload_8hpp_html"><div class="ttname"><a href="_neon_lstm_float_workload_8hpp.html">NeonLstmFloatWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a89e9c52419c572f05bf9737a7a60b267"><div class="ttname"><a href="namespacearmnn.html#a89e9c52419c572f05bf9737a7a60b267">armnn::IsFloorSupported</a></div><div class="ttdeci">bool IsFloorSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00282">LayerSupport.cpp:282</a></div></div> |
| <div class="ttc" id="_neon_dequantize_workload_8hpp_html"><div class="ttname"><a href="_neon_dequantize_workload_8hpp.html">NeonDequantizeWorkload.hpp</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.html">armnn::InstanceNormalizationDescriptor</a></div><div class="ttdoc">An InstanceNormalizationDescriptor for InstanceNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00629">Descriptors.hpp:629</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ad536149438b0481b7278ad741e18fb5a"><div class="ttname"><a href="namespacearmnn.html#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.html#l00013">NeonGreaterWorkload.cpp:13</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a552d65f4e0a6c9e7c7796e77590063e9"><div class="ttname"><a href="namespacearmnn.html#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.html#l00020">NeonResizeWorkload.cpp:20</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a7ce5f7168bf0d1e7efe269d59ed564ba"><div class="ttname"><a href="namespacearmnn.html#a7ce5f7168bf0d1e7efe269d59ed564ba">armnn::IsSplitterSupported</a></div><div class="ttdeci">bool IsSplitterSupported(const BackendId &backend, const TensorInfo &input, const ViewsDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00612">LayerSupport.cpp:612</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00373">Descriptors.hpp:373</a></div></div> |
| <div class="ttc" id="_neon_softmax_base_workload_8hpp_html"><div class="ttname"><a href="_neon_softmax_base_workload_8hpp.html">NeonSoftmaxBaseWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a477695b3df8c0abd2efcf02051f61065"><div class="ttname"><a href="namespacearmnn.html#a477695b3df8c0abd2efcf02051f61065">armnn::IsSoftmaxSupported</a></div><div class="ttdeci">bool IsSoftmaxSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00581">LayerSupport.cpp:581</a></div></div> |
| <div class="ttc" id="_neon_instance_normalization_workload_8hpp_html"><div class="ttname"><a href="_neon_instance_normalization_workload_8hpp.html">NeonInstanceNormalizationWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a754b0ac19fd6341ce2b5f480c3b35e8e"><div class="ttname"><a href="namespacearmnn.html#a754b0ac19fd6341ce2b5f480c3b35e8e">armnn::IsNormalizationSupported</a></div><div class="ttdeci">bool IsNormalizationSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const NormalizationDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00448">LayerSupport.cpp:448</a></div></div> |
| <div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div> |
| <div class="ttc" id="_types_8hpp_html"><div class="ttname"><a href="_types_8hpp.html">Types.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a116d88067bf98ce9858ab73e68f605f9"><div class="ttname"><a href="namespacearmnn.html#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.html#l00020">NeonDepthToSpaceWorkload.cpp:20</a></div></div> |
| <div class="ttc" id="_neon_pooling2d_workload_8hpp_html"><div class="ttname"><a href="_neon_pooling2d_workload_8hpp.html">NeonPooling2dWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ab81159ebfa638af1b91fe1e8c5de1955"><div class="ttname"><a href="namespacearmnn.html#ab81159ebfa638af1b91fe1e8c5de1955">armnn::NeonMinimumWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonMinimumWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_minimum_workload_8cpp_source.html#l00013">NeonMinimumWorkload.cpp:13</a></div></div> |
| <div class="ttc" id="_neon_division_workload_8hpp_html"><div class="ttname"><a href="_neon_division_workload_8hpp.html">NeonDivisionWorkload.hpp</a></div></div> |
| <div class="ttc" id="_neon_abs_workload_8hpp_html"><div class="ttname"><a href="_neon_abs_workload_8hpp.html">NeonAbsWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ae838df3960d2b5d18d73ed2a07aee917"><div class="ttname"><a href="namespacearmnn.html#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.html#l00018">NeonL2NormalizationFloatWorkload.cpp:18</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_stack_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html">armnn::StackDescriptor</a></div><div class="ttdoc">A StackDescriptor for the StackLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00950">Descriptors.hpp:950</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_html"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.html">armnn::QuantizedLstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00119">QuantizedLstmParams.hpp:119</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_af6dbe371ec651a8e0063624fdf32afc0"><div class="ttname"><a href="namespacearmnn.html#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.html#l00028">LayerSupportCommon.hpp:28</a></div></div> |
| <div class="ttc" id="_neon_depthwise_convolution_workload_8hpp_html"><div class="ttname"><a href="_neon_depthwise_convolution_workload_8hpp.html">NeonDepthwiseConvolutionWorkload.hpp</a></div></div> |
| <div class="ttc" id="_arm_compute_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_utils_8hpp.html">ArmComputeUtils.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a0906736b90464c0eb3ce5a87e05ebeee"><div class="ttname"><a href="namespacearmnn.html#a0906736b90464c0eb3ce5a87e05ebeee">armnn::IsL2NormalizationSupported</a></div><div class="ttdeci">bool IsL2NormalizationSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00342">LayerSupport.cpp:342</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_softmax_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.html">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00123">Descriptors.hpp:123</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_resize_descriptor_html_adcf5037208faac36c0788239a073f75c"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#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.html#l00744">Descriptors.hpp:744</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a73c15f02c46f64c1adf0fafb4c7c2cac"><div class="ttname"><a href="namespacearmnn.html#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.html#l00017">NeonSubtractionWorkload.cpp:17</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a38bdbed2a1e28ab15cac0cc0f42c3fa6"><div class="ttname"><a href="namespacearmnn.html#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.html#l00015">NeonMultiplicationWorkload.cpp:15</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a197a353aa963497d29a07796268ea5c1"><div class="ttname"><a href="namespacearmnn.html#a197a353aa963497d29a07796268ea5c1">armnn::IsInputSupported</a></div><div class="ttdeci">bool IsInputSupported(const BackendId &backend, const TensorInfo &input, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00333">LayerSupport.cpp:333</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a701cecec7714cf8bc9dca804f473610d"><div class="ttname"><a href="namespacearmnn.html#a701cecec7714cf8bc9dca804f473610d">armnn::IsOutputSupported</a></div><div class="ttdeci">bool IsOutputSupported(const BackendId &backend, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00458">LayerSupport.cpp:458</a></div></div> |
| <div class="ttc" id="_backend_registry_8hpp_html"><div class="ttname"><a href="_backend_registry_8hpp.html">BackendRegistry.hpp</a></div></div> |
| <div class="ttc" id="_neon_reshape_workload_8hpp_html"><div class="ttname"><a href="_neon_reshape_workload_8hpp.html">NeonReshapeWorkload.hpp</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_comparison_descriptor_html_a865dc4f43cb0ff01a1dcf78036912fd1"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.html#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.html#l00078">Descriptors.hpp:78</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a3e8b3af7771ffb37ede50aa2d9cc3af6"><div class="ttname"><a href="namespacearmnn.html#a3e8b3af7771ffb37ede50aa2d9cc3af6">armnn::IsLstmSupported</a></div><div class="ttdeci">bool IsLstmSupported(const BackendId &backend, 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, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00352">LayerSupport.cpp:352</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_aaa152f86599af5189c9d637fe7ade6d0"><div class="ttname"><a href="namespacearmnn.html#aaa152f86599af5189c9d637fe7ade6d0">armnn::IsConvertFp16ToFp32Supported</a></div><div class="ttdeci">bool IsConvertFp16ToFp32Supported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00160">LayerSupport.cpp:160</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_afc541536011ccfb06853c45bfaba2dfd"><div class="ttname"><a href="namespacearmnn.html#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.html#l00017">NeonAdditionWorkload.cpp:17</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00032">Types.hpp:32</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a13c7d751e4d37f65a6d40c3c6e50d2b8"><div class="ttname"><a href="namespacearmnn.html#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.html#l00018">LayerSupportCommon.hpp:18</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_aea548aa1485adbeeb3e393a13bb6bff8"><div class="ttname"><a href="namespacearmnn.html#aea548aa1485adbeeb3e393a13bb6bff8">armnn::IsPooling2dSupported</a></div><div class="ttdeci">bool IsPooling2dSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00511">LayerSupport.cpp:511</a></div></div> |
| <div class="ttc" id="_neon_normalization_float_workload_8hpp_html"><div class="ttname"><a href="_neon_normalization_float_workload_8hpp.html">NeonNormalizationFloatWorkload.hpp</a></div></div> |
| <div class="ttc" id="_neon_transpose_convolution2d_workload_8hpp_html"><div class="ttname"><a href="_neon_transpose_convolution2d_workload_8hpp.html">NeonTransposeConvolution2dWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a0cdc60b4988b2193b97590e35f34a07e"><div class="ttname"><a href="namespacearmnn.html#a0cdc60b4988b2193b97590e35f34a07e">armnn::IsMeanSupported</a></div><div class="ttdeci">bool IsMeanSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00375">LayerSupport.cpp:375</a></div></div> |
| <div class="ttc" id="_tensor_8hpp_html"><div class="ttname"><a href="_tensor_8hpp.html">Tensor.hpp</a></div></div> |
| <div class="ttc" id="_neon_depth_to_space_workload_8hpp_html"><div class="ttname"><a href="_neon_depth_to_space_workload_8hpp.html">NeonDepthToSpaceWorkload.hpp</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00095">Tensor.hpp:95</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_acc76cdec78906a3457a9c2293a453869"><div class="ttname"><a href="namespacearmnn.html#acc76cdec78906a3457a9c2293a453869">armnn::IsConstantSupported</a></div><div class="ttdeci">bool IsConstantSupported(const BackendId &backend, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00152">LayerSupport.cpp:152</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a10e8442be2b8596afd5770e98b904caa"><div class="ttname"><a href="namespacearmnn.html#a10e8442be2b8596afd5770e98b904caa">armnn::IsStackSupported</a></div><div class="ttdeci">bool IsStackSupported(const BackendId &backend, const std::vector< const TensorInfo *> inputs, const TensorInfo &output, const StackDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div></div> |
| <div class="ttc" id="namespacearmnn_html_a3a62359fc5ebfe9628871c0ba79fb37c"><div class="ttname"><a href="namespacearmnn.html#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.html#l00013">NeonDivisionWorkload.cpp:13</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_af22d4421773ce95e0f2324fc1a66c0d9"><div class="ttname"><a href="namespacearmnn.html#af22d4421773ce95e0f2324fc1a66c0d9">armnn::IsConvolution2dSupported</a></div><div class="ttdeci">bool IsConvolution2dSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00178">LayerSupport.cpp:178</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a6e2c7ec2b8d47bde2bc9fa04bb2091f6"><div class="ttname"><a href="namespacearmnn.html#a6e2c7ec2b8d47bde2bc9fa04bb2091f6">armnn::IsMergerSupported</a></div><div class="ttdeci">bool IsMergerSupported(const BackendId &backend, const std::vector< const TensorInfo *> inputs, const TensorInfo &output, const OriginsDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div></div> |
| <div class="ttc" id="_neon_addition_workload_8hpp_html"><div class="ttname"><a href="_neon_addition_workload_8hpp.html">NeonAdditionWorkload.hpp</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00313">Descriptors.hpp:313</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a98994026cec1578ceb7aa74c834b00d9"><div class="ttname"><a href="namespacearmnn.html#a98994026cec1578ceb7aa74c834b00d9">armnn::IsConvertFp32ToFp16Supported</a></div><div class="ttdeci">bool IsConvertFp32ToFp16Supported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00169">LayerSupport.cpp:169</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_aa3a1bea3b3cd5611f13c06020dababc4"><div class="ttname"><a href="namespacearmnn.html#aa3a1bea3b3cd5611f13c06020dababc4">armnn::IsPermuteSupported</a></div><div class="ttdeci">bool IsPermuteSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const PermuteDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00501">LayerSupport.cpp:501</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a8d2ea79addd8ef64be2ca0dad3408f00"><div class="ttname"><a href="namespacearmnn.html#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.html#l00013">NeonMaximumWorkload.cpp:13</a></div></div> |
| <div class="ttc" id="_neon_arg_min_max_workload_8hpp_html"><div class="ttname"><a href="_neon_arg_min_max_workload_8hpp.html">NeonArgMinMaxWorkload.hpp</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_slice_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.html">armnn::SliceDescriptor</a></div><div class="ttdoc">A SliceDescriptor for the SliceLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00927">Descriptors.hpp:927</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_aab5ea316b3decb05430323d847e3a773"><div class="ttname"><a href="namespacearmnn.html#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.html#l00031">NeonSplitterWorkload.cpp:31</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a188adc104b16db3dc23ed2c5ff06cbb8"><div class="ttname"><a href="namespacearmnn.html#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.html#l00015">NeonPreluWorkload.cpp:15</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a399d38872500c6ac84ae031673176ef3"><div class="ttname"><a href="namespacearmnn.html#a399d38872500c6ac84ae031673176ef3">armnn::IsDepthwiseConvolutionSupported</a></div><div class="ttdeci">bool IsDepthwiseConvolutionSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00199">LayerSupport.cpp:199</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a9e06cc2a2ac8b88fc72972695a17910f"><div class="ttname"><a href="namespacearmnn.html#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.html#l00271">NeonLstmFloatWorkload.cpp:271</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00444">Descriptors.hpp:444</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_permute_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.html">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00102">Descriptors.hpp:102</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00392">Descriptors.hpp:392</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_mean_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.html">armnn::MeanDescriptor</a></div><div class="ttdoc">A MeanDescriptor for the MeanLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00877">Descriptors.hpp:877</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a56ff60c2946bf0b7e772007acce0d7ec"><div class="ttname"><a href="namespacearmnn.html#a56ff60c2946bf0b7e772007acce0d7ec">armnn::IsMultiplicationSupported</a></div><div class="ttdeci">bool IsMultiplicationSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00438">LayerSupport.cpp:438</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.html">armnn::SpaceToBatchNdDescriptor</a></div><div class="ttdoc">A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00778">Descriptors.hpp:778</a></div></div> |
| <div class="ttc" id="_neon_slice_workload_8hpp_html"><div class="ttname"><a href="_neon_slice_workload_8hpp.html">NeonSliceWorkload.hpp</a></div></div> |
| <div class="ttc" id="_neon_splitter_workload_8hpp_html"><div class="ttname"><a href="_neon_splitter_workload_8hpp.html">NeonSplitterWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a90a1aadb53c7537f225252afd681ff22"><div class="ttname"><a href="namespacearmnn.html#a90a1aadb53c7537f225252afd681ff22">armnn::IsResizeSupported</a></div><div class="ttdeci">bool IsResizeSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00541">LayerSupport.cpp:541</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00088">Tensor.hpp:88</a></div></div> |
| <div class="ttc" id="_neon_rsqrt_workload_8hpp_html"><div class="ttname"><a href="_neon_rsqrt_workload_8hpp.html">NeonRsqrtWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a70650f6b1d3b8511fcdb989ca769cdbb"><div class="ttname"><a href="namespacearmnn.html#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.html#l00015">NeonPermuteWorkload.cpp:15</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.html">armnn::ArgMinMaxDescriptor</a></div><div class="ttdoc">An ArgMinMaxDescriptor for ArgMinMaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00043">Descriptors.hpp:43</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_afbf752a51fa513e0a54e343be130d962"><div class="ttname"><a href="namespacearmnn.html#afbf752a51fa513e0a54e343be130d962">armnn::IsSubtractionSupported</a></div><div class="ttdeci">bool IsSubtractionSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00643">LayerSupport.cpp:643</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ac92dceabfbc1e46fe74f699f733886a8"><div class="ttname"><a href="namespacearmnn.html#ac92dceabfbc1e46fe74f699f733886a8">armnn::IsDequantizeSupported</a></div><div class="ttdeci">bool IsDequantizeSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00232">LayerSupport.cpp:232</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_resize_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html">armnn::ResizeDescriptor</a></div><div class="ttdoc">A ResizeDescriptor for the ResizeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00724">Descriptors.hpp:724</a></div></div> |
| <div class="ttc" id="_neon_multiplication_workload_8hpp_html"><div class="ttname"><a href="_neon_multiplication_workload_8hpp.html">NeonMultiplicationWorkload.hpp</a></div></div> |
| <div class="ttc" id="_neon_layer_support_8cpp_html_af0383f6bb43d6d5df6f3265367b6ebf9"><div class="ttname"><a href="_neon_layer_support_8cpp.html#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.html#l00115">NeonLayerSupport.cpp:115</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a515e8a98d7ef9ecda64a2e1e5298461a"><div class="ttname"><a href="namespacearmnn.html#a515e8a98d7ef9ecda64a2e1e5298461a">armnn::IsPadSupported</a></div><div class="ttdeci">bool IsPadSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const PadDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00466">LayerSupport.cpp:466</a></div></div> |
| <div class="ttc" id="_neon_activation_workload_8hpp_html"><div class="ttname"><a href="_neon_activation_workload_8hpp.html">NeonActivationWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ab99d3d944b80f47bd1be70f63cc60abb"><div class="ttname"><a href="namespacearmnn.html#ab99d3d944b80f47bd1be70f63cc60abb">armnn::IsMinimumSupported</a></div><div class="ttdeci">bool IsMinimumSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00428">LayerSupport.cpp:428</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a1f07655db8ad7f2738bb0d3d9e2316cc"><div class="ttname"><a href="namespacearmnn.html#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.html#l00020">NeonPooling2dWorkload.cpp:20</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ac71d08bf1257807c112b4d019802acc3"><div class="ttname"><a href="namespacearmnn.html#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.html#l00017">NeonStridedSliceWorkload.cpp:17</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_comparison_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.html">armnn::ComparisonDescriptor</a></div><div class="ttdoc">A ComparisonDescriptor for the ComparisonLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00062">Descriptors.hpp:62</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_aa8d5d17d1edd51d899fe699eb6156b58"><div class="ttname"><a href="namespacearmnn.html#aa8d5d17d1edd51d899fe699eb6156b58">armnn::IsArgMinMaxSupported</a></div><div class="ttdeci">bool IsArgMinMaxSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const ArgMinMaxDescriptor &descriptor, char *reasonIfUnsupported, size_t reasonIfUnsupportedMaxLength)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00094">LayerSupport.cpp:94</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a599a95f708fa0b6a6230dc6c9e73ea3e"><div class="ttname"><a href="namespacearmnn.html#a599a95f708fa0b6a6230dc6c9e73ea3e">armnn::IsQuantizeSupported</a></div><div class="ttdeci">bool IsQuantizeSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported, size_t reasonIfUnsupportedMaxLength)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.html#l00477">LayerSupport.cpp:477</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_origins_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer. Descriptor to configure the concatenation process...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00147">Descriptors.hpp:147</a></div></div> |
| <div class="ttc" id="_neon_maximum_workload_8hpp_html"><div class="ttname"><a href="_neon_maximum_workload_8hpp.html">NeonMaximumWorkload.hpp</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ab29257da888af2c4971db1344d8a526c"><div class="ttname"><a href="namespacearmnn.html#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.html#l00016">NeonSpaceToBatchNdWorkload.cpp:16</a></div></div> |
| <div class="ttc" id="_neon_layer_support_8hpp_html"><div class="ttname"><a href="_neon_layer_support_8hpp.html">NeonLayerSupport.hpp</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html">armnn::StridedSliceDescriptor</a></div><div class="ttdoc">A StridedSliceDescriptor for the StridedSliceLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01002">Descriptors.hpp:1002</a></div></div> |
| <div class="ttc" id="_internal_types_8hpp_html"><div class="ttname"><a href="_internal_types_8hpp.html">InternalTypes.hpp</a></div></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <!-- start footer part --> |
| <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> |
| <ul> |
| <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_d86eb514662c7c08e168285f21d00ea1.html">neon</a></li><li class="navelem"><a class="el" href="_neon_layer_support_8cpp.html">NeonLayerSupport.cpp</a></li> |
| <li class="footer">Generated on Fri Mar 13 2020 16:06:57 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> |
