1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
|
<!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>
|
