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authorDavid Monahan <david.monahan@arm.com>2023-03-22 16:48:58 +0000
committerDavid Monahan <david.monahan@arm.com>2023-03-22 16:48:58 +0000
commitae050524109f1ce827962665436ef7430f2ac479 (patch)
treea087fe0c77570971dd7979f2757426c24e91afc7 /23.02/_descriptors_8hpp_source.xhtml
parent8d2ca734165a068478df7cffa46185680b05cd20 (diff)
downloadarmnn-ae050524109f1ce827962665436ef7430f2ac479.tar.gz
IVGCVSW-7255 Update Doxygen Documentation and publish on GitHub.
* Updating Doxygen documentation for 23.02 release. Signed-off-by: David Monahan <david.monahan@arm.com> Change-Id: I545574ff7664b4595d2fe6a91a3c35d2ad55df82
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<div class="title">Descriptors.hpp</div> </div>
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<div class="contents">
-<a href="_descriptors_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017,2022 Arm Ltd and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;</div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_deprecated_8hpp.xhtml">Deprecated.hpp</a>&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_descriptors_fwd_8hpp.xhtml">DescriptorsFwd.hpp</a>&quot;</span> <span class="comment">// Required for class equivalence declarations.</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_8hpp.xhtml">Tensor.hpp</a>&quot;</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_types_8hpp.xhtml">Types.hpp</a>&quot;</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_exceptions_8hpp.xhtml">armnn/Exceptions.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;cstdint&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;iterator&gt;</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;utility&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;{</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment">/// Base class for all descriptors.</span></div><div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="structarmnn_1_1_base_descriptor.xhtml"> 22</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;{</div><div class="line"><a name="l00024"></a><span class="lineno"><a class="line" href="structarmnn_1_1_base_descriptor.xhtml#ac618666b3c6d65d2c88bcbb7abeed343"> 24</a></span>&#160; <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_base_descriptor.xhtml#ac618666b3c6d65d2c88bcbb7abeed343">IsNull</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <span class="keyword">false</span>; }</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keyword">virtual</span> <a class="code" href="structarmnn_1_1_base_descriptor.xhtml#a5e0f82ef2f18eb897e6d6f1845e74033">~BaseDescriptor</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;};</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="comment">/// Null Descriptor used as a return value from the IConnectableLayer GetParameters method</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="comment">/// by layers which do not have a descriptor</span></div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="structarmnn_1_1_null_descriptor.xhtml"> 30</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_null_descriptor.xhtml">NullDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;{</div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="structarmnn_1_1_null_descriptor.xhtml#ad7c0bdb2b6e538d8f75596d8cdb633c6"> 32</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_null_descriptor.xhtml#ad7c0bdb2b6e538d8f75596d8cdb633c6">IsNull</a>()<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;};</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="comment">/// An ActivationDescriptor for the ActivationLayer.</span></div><div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml"> 36</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;{</div><div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#a6c7517bc11f580a0a443940bc5f81775"> 38</a></span>&#160; <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a6c7517bc11f580a0a443940bc5f81775">ActivationDescriptor</a>()</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; : m_Function(<a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationFunction</a>::<a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">Sigmoid</a>)</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; , m_A(0)</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; , m_B(0)</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; {}</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#af045269be0c755dbf3c3b8c4d71a88af"> 44</a></span>&#160; <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af045269be0c755dbf3c3b8c4d71a88af">ActivationDescriptor</a>(<a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> activation,</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keywordtype">float</span> a = 0,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keywordtype">float</span> b = 0)</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; : m_Function(activation)</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; , m_A(a)</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; , m_B(b)</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; {}</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454"> 52</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> &amp;rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordflow">return</span> m_Function == rhs.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> &amp;&amp; m_A == rhs.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> &amp;&amp; m_B == rhs.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a>;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; }</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="comment"> /// @brief The activation function to use</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="comment"> /// (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu).</span></div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844"> 59</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationFunction</a> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>;<span class="comment"></span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;<span class="comment"> /// Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu).</span></div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689"> 61</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a>;<span class="comment"></span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<span class="comment"> /// Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH).</span></div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b"> 63</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a>;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;};</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;<span class="comment">/// An ArgMinMaxDescriptor for ArgMinMaxLayer</span></div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml"> 67</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;{</div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a42d192541edb2334e194365b87423b5e"> 69</a></span>&#160; <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a42d192541edb2334e194365b87423b5e">ArgMinMaxDescriptor</a>()</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; : m_Function(<a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeae">ArgMinMaxFunction</a>::<a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">Min</a>)</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; , m_Axis(-1)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; , m_Output_Type(<a class="code" href="namespacearmnn.xhtml">armnn</a>::<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">Signed32</a>)</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; {}</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a775f60182b6abb1a21c5fb94578eb8db"> 75</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a> &amp;rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">return</span> m_Function == rhs.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#ab1ae6f520bb1a4da191a0ae907477f23">m_Function</a> &amp;&amp; m_Axis == rhs.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a> &amp;&amp; m_Output_Type == rhs.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#abce784834696eb928c620f1fafe71a8d">m_Output_Type</a>;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; }</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;<span class="comment"> /// Specify if the function is to find Min or Max.</span></div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#ab1ae6f520bb1a4da191a0ae907477f23"> 81</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeae">ArgMinMaxFunction</a> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#ab1ae6f520bb1a4da191a0ae907477f23">m_Function</a>;<span class="comment"></span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;<span class="comment"> /// Axis to reduce across the input tensor.</span></div><div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0"> 83</a></span>&#160;<span class="comment"></span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>;<span class="comment"></span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="comment"> /// Deprecated and will be removed in future release.</span></div><div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#abce784834696eb928c620f1fafe71a8d"> 85</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#abce784834696eb928c620f1fafe71a8d">m_Output_Type</a>;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;};</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;<span class="comment">/// A ComparisonDescriptor for the ComparisonLayer</span></div><div class="line"><a name="l00089"></a><span class="lineno"><a class="line" href="structarmnn_1_1_comparison_descriptor.xhtml"> 89</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;{</div><div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="structarmnn_1_1_comparison_descriptor.xhtml#abe82a976e89ae4dd12f3991c167ffed3"> 91</a></span>&#160; <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#abe82a976e89ae4dd12f3991c167ffed3">ComparisonDescriptor</a>()</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; : <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a>(<a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58c">ComparisonOperation</a>::<a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5">Equal</a>)</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; {}</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="structarmnn_1_1_comparison_descriptor.xhtml#abc1707b90d0ceb3594945256af70c839"> 95</a></span>&#160; <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#abc1707b90d0ceb3594945256af70c839">ComparisonDescriptor</a>(<a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58c">ComparisonOperation</a> operation)</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; : m_Operation(operation)</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; {}</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;</div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="structarmnn_1_1_comparison_descriptor.xhtml#a9a22f5f1ccbe51f97fb42a5fbbe12774"> 99</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a> &amp;rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordflow">return</span> m_Operation == rhs.<a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">m_Operation</a>;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; }</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;<span class="comment"> /// Specifies the comparison operation to execute</span></div><div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1"> 105</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58c">ComparisonOperation</a> <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">m_Operation</a>;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;};</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;<span class="comment">/// A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer</span></div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml"> 109</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;{</div><div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a3f8539a92fa960a194527b03c2183172"> 111</a></span>&#160; <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a3f8539a92fa960a194527b03c2183172">ElementwiseUnaryDescriptor</a>()</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; : <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a>(<a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8">UnaryOperation</a>::<a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">Abs</a>)</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; {}</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;</div><div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a6b7d869ff464fce01745b97f89cc1a02"> 115</a></span>&#160; <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a6b7d869ff464fce01745b97f89cc1a02">ElementwiseUnaryDescriptor</a>(<a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8">UnaryOperation</a> operation)</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; : m_Operation(operation)</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; {}</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a58aa3857edb8d4addbbb44510147bb59"> 119</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a> &amp;rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keywordflow">return</span> m_Operation == rhs.<a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">m_Operation</a>;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; }</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;<span class="comment"> /// Specifies the elementwiseUnary operation to execute</span></div><div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23"> 125</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8">UnaryOperation</a> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">m_Operation</a>;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;};</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160;<span class="comment">/// A PermuteDescriptor for the PermuteLayer.</span></div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="structarmnn_1_1_permute_descriptor.xhtml"> 129</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;{</div><div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="structarmnn_1_1_permute_descriptor.xhtml#a89323bcff3f2fad728ddb0ba2673049f"> 131</a></span>&#160; <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a89323bcff3f2fad728ddb0ba2673049f">PermuteDescriptor</a>()</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; : m_DimMappings{}</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; {}</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;</div><div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="structarmnn_1_1_permute_descriptor.xhtml#abaafe52396509f67f8cde6578c75df01"> 135</a></span>&#160; <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#abaafe52396509f67f8cde6578c75df01">PermuteDescriptor</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">PermutationVector</a>&amp; dimMappings)</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; : m_DimMappings(dimMappings)</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; {}</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="structarmnn_1_1_permute_descriptor.xhtml#a515ce4ad34d652a553e685ff9abecb33"> 139</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a> &amp;rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keywordflow">return</span> m_DimMappings.IsEqual(rhs.<a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;<span class="comment"> /// @brief Indicates how to translate tensor elements from a given source into the target destination, when</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;<span class="comment"> /// source and target potentially have different memory layouts e.g.</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;<span class="comment"> /// Input Shape {1, 1, 4, 4}</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;<span class="comment"> /// Permutation Vector {0, 2, 3, 1}</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160;<span class="comment"> /// Output Shape {1, 4, 1, 4}</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;<span class="comment"> /// dim &quot;0&quot; goes into index 0 ([ 1, X, X, X ])</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;<span class="comment"> /// dim &quot;1&quot; goes into index 2 ([ 1, X, 1, X ])</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;<span class="comment"> /// dim &quot;2&quot; goes into index 3 ([ 1, X, 1, 4 ])</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;<span class="comment"> /// dim &quot;3&quot; goes into index 1 ([ 1, 4, 1, 4 ])</span></div><div class="line"><a name="l00153"></a><span class="lineno"><a class="line" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f"> 153</a></span>&#160;<span class="comment"></span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">PermutationVector</a> <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;};</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;<span class="comment">/// A SoftmaxDescriptor for the SoftmaxLayer.</span></div><div class="line"><a name="l00157"></a><span class="lineno"><a class="line" href="structarmnn_1_1_softmax_descriptor.xhtml"> 157</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;{</div><div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="structarmnn_1_1_softmax_descriptor.xhtml#ab284d1743a879c8762273540c363174e"> 159</a></span>&#160; <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#ab284d1743a879c8762273540c363174e">SoftmaxDescriptor</a>()</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; : m_Beta(1.0f)</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; , m_Axis(-1)</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; {}</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;</div><div class="line"><a name="l00164"></a><span class="lineno"><a class="line" href="structarmnn_1_1_softmax_descriptor.xhtml#a3b7fdc72f23079437110c764f0533af5"> 164</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <span class="keywordflow">return</span> m_Beta == rhs.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a> &amp;&amp; m_Axis == rhs.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; }</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;<span class="comment"> /// Exponentiation value.</span></div><div class="line"><a name="l00170"></a><span class="lineno"><a class="line" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5"> 170</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>;<span class="comment"></span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;<span class="comment"> /// Scalar, defaulted to the last index (-1), specifying the dimension the activation will be performed on.</span></div><div class="line"><a name="l00172"></a><span class="lineno"><a class="line" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0"> 172</a></span>&#160;<span class="comment"></span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160;};</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;<span class="comment">/// A LogSoftmaxDescriptor for the LogSoftmaxLayer</span></div><div class="line"><a name="l00176"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ac14705405cbcdd580df613de6766fe65"> 176</a></span>&#160;<span class="comment"></span><span class="keyword">using</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">LogSoftmaxDescriptor</a> = <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a>;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160;<span class="comment">/// @brief An OriginsDescriptor for the ConcatLayer.</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;<span class="comment">/// Descriptor to configure the concatenation process. Number of views must be equal to the number of inputs, and</span></div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160;<span class="comment">/// their order must match - e.g. first view corresponds to the first input, second view to the second input, etc.</span></div><div class="line"><a name="l00181"></a><span class="lineno"><a class="line" href="structarmnn_1_1_origins_descriptor.xhtml"> 181</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160;{</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>();</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>(uint32_t numViews, uint32_t numDimensions = 4);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>&amp; other);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>(<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>&amp;&amp; other);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; ~<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>();</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>&amp; operator=(<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> rhs);</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>&amp; rhs) <span class="keyword">const</span>;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;<span class="comment"> /// @Brief Set the view origin coordinates. The arguments are: view, dimension, value.</span></div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;<span class="comment"> /// If the view is greater than or equal to GetNumViews(), then the view argument is out of range.</span></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160;<span class="comment"> /// If the coord is greater than or equal to GetNumDimensions(), then the coord argument is out of range.</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> SetViewOriginCoord(uint32_t view, uint32_t coord, uint32_t value);<span class="comment"></span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160;<span class="comment"> /// Get the number of views.</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160;<span class="comment"></span> uint32_t GetNumViews() <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160;<span class="comment"> /// Get the number of dimensions.</span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;<span class="comment"></span> uint32_t GetNumDimensions() <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160;<span class="comment"> /// Return the view origin at the int value idx.</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;<span class="comment"></span> <span class="keyword">const</span> uint32_t* GetViewOrigin(uint32_t idx) <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160;<span class="comment"> /// @brief Reorders the viewOrigins in accordance with the indices presented in newOrdering array.</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160;<span class="comment"> /// The number of views must match number of elements in the new ordering array.</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160;<span class="comment"></span> <span class="keywordtype">void</span> ReorderOrigins(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>* newOrdering, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numNewOrdering);<span class="comment"></span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160;<span class="comment"> /// Swap the ViewsDescriptor values first and second.</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160;<span class="comment"></span> <span class="keyword">friend</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#a14d7f180bf51e86850305965c3707e07">swap</a>(<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>&amp; first, <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>&amp; second);<span class="comment"></span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160;<span class="comment"> /// Set the concatenation axis value.</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160;<span class="comment"></span> <span class="keywordtype">void</span> SetConcatAxis(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> concatAxis);<span class="comment"></span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160;<span class="comment"> /// Get the concatenation axis value.</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160;<span class="comment"></span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> GetConcatAxis() <span class="keyword">const</span>;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_ConcatAxis;</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; uint32_t m_NumViews;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; uint32_t m_NumDimensions;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; uint32_t** m_ViewOrigins;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160;};</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160;<span class="comment">/// @brief A ViewsDescriptor for the SplitterLayer.</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160;<span class="comment">/// Descriptor to configure the splitting process. Number of Views must be equal to the number of outputs, and</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160;<span class="comment">/// their order must match - e.g. first view corresponds to the first output, second view to the second output, etc.</span></div><div class="line"><a name="l00224"></a><span class="lineno"><a class="line" href="structarmnn_1_1_views_descriptor.xhtml"> 224</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160;{</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>(uint32_t numViews, uint32_t numDimensions = 4);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>&amp; other);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>();</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>(<a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>&amp;&amp; other);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160;</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; ~<a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>();</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>&amp; operator=(<a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a> rhs);</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160;</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>&amp; rhs) <span class="keyword">const</span>;</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160;<span class="comment"> /// @Brief Set the view origin coordinates. The arguments are: view, dimension, value.</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160;<span class="comment"> /// If the view is greater than or equal to GetNumViews(), then the view argument is out of range.</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160;<span class="comment"> /// If the coord is greater than or equal to GetNumDimensions(), then the coord argument is out of range.</span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> SetViewOriginCoord(uint32_t view, uint32_t coord, uint32_t value);<span class="comment"></span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;<span class="comment"> /// @brief Set the size of the views. The arguments are: view, dimension, value.</span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;<span class="comment"> /// If the view is greater than or equal to GetNumViews(), then the view argument is out of range.</span></div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160;<span class="comment"> /// If the coord is greater than or equal to GetNumDimensions(), then the coord argument is out of range.</span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> SetViewSize(uint32_t view, uint32_t coord, uint32_t value);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160;<span class="comment"> /// Get the number of views.</span></div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160;<span class="comment"></span> uint32_t GetNumViews() <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160;<span class="comment"> /// Get the number of dimensions.</span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160;<span class="comment"></span> uint32_t GetNumDimensions() <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160;<span class="comment"> /// Get the view origin at the int value idx.</span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160;<span class="comment"></span> <span class="keyword">const</span> uint32_t* GetViewOrigin(uint32_t idx) <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160;<span class="comment"> /// Get the view sizes at the int value idx.</span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160;<span class="comment"></span> <span class="keyword">const</span> uint32_t* GetViewSizes(uint32_t idx) <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160;<span class="comment"> /// Get the View Origins</span></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160;<span class="comment"></span> <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>&amp; GetOrigins() <span class="keyword">const</span>;</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160;<span class="comment"> /// Swap the ViewsDescriptor value first and second.</span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160;<span class="comment"></span> <span class="keyword">friend</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#a14d7f180bf51e86850305965c3707e07">swap</a>(<a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>&amp; first, <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>&amp; second);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> m_Origins;</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; uint32_t** m_ViewSizes;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160;};</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160;<span class="comment">/// @brief Convenience template to create an OriginsDescriptor to use when creating a ConcatLayer for performing</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160;<span class="comment">/// concatenation of a number of input tensors.</span></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160;<span class="comment"></span><span class="keyword">template</span> &lt;<span class="keyword">typename</span> TensorShapeIt&gt;</div><div class="line"><a name="l00268"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a733ae6b70d0bfa43433c3e7606992328"> 268</a></span>&#160;<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> <a class="code" href="namespacearmnn.xhtml#a733ae6b70d0bfa43433c3e7606992328">CreateDescriptorForConcatenation</a>(TensorShapeIt first,</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; TensorShapeIt last,</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> concatenationDimension)</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160;{</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; <span class="keyword">auto</span> numInputs = std::distance(first, last);</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keywordflow">if</span> (numInputs &lt; 2)</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; {</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">&quot;Concatenation requires at least 2 inputs&quot;</span>);</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; }</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160;</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span>&amp; firstInputShape = *first;</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160;</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions = firstInputShape.GetNumDimensions();</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = first + 1; it != last; ++it)</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; {</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; <span class="keywordflow">if</span> (it-&gt;GetNumDimensions() != numDimensions)</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; {</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">&quot;All inputs to concatenation must have the same number of dimensions&quot;</span>);</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; }</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; }</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160;</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; <span class="keywordflow">if</span> (concatenationDimension &gt;= numDimensions)</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; {</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">&quot;concatenationDimension must be between 0 and the number of dimensions.&quot;</span>);</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; }</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = first; it != last; ++it)</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; {</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d &lt; numDimensions; ++d)</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; {</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> dimSizeOk = (d == concatenationDimension) || (firstInputShape[d] == (*it)[d]);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; <span class="keywordflow">if</span> (!dimSizeOk)</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; {</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">&quot;All inputs to concatenation must be the same size along all dimensions &quot;</span></div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; <span class="stringliteral">&quot; except the concatenation dimension&quot;</span>);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; }</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; }</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; }</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160;</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> viewsDescriptor(static_cast&lt;uint32_t&gt;(numInputs), numDimensions);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; viewsDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a5b192c5fcd96a0f75542524cf646b355">SetConcatAxis</a>(concatenationDimension);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160;</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; uint32_t viewIndex = 0u;</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; uint32_t coordAlongConcatDim = 0u;</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = first; it != last; ++it)</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; {</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span>&amp; inputShape = *it;</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160;</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; concatenationDimension; ++i)</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; {</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; viewsDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(viewIndex, i, 0);</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; }</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160;</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; viewsDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(viewIndex, concatenationDimension, coordAlongConcatDim);</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimSize = inputShape[concatenationDimension];</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; coordAlongConcatDim += dimSize;</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160;</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160;</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = concatenationDimension + 1; i &lt; numDimensions; ++i)</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; {</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; viewsDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(viewIndex, i, 0);</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; }</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160;</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; ++viewIndex;</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; }</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160;</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; <span class="keywordflow">return</span> viewsDescriptor;</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160;}</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160;<span class="comment">/// A Pooling2dDescriptor for the Pooling2dLayer.</span></div><div class="line"><a name="l00339"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml"> 339</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160;{</div><div class="line"><a name="l00341"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a223ddc6ec23fbfa317b41ac45199b296"> 341</a></span>&#160; <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a223ddc6ec23fbfa317b41ac45199b296">Pooling2dDescriptor</a>()</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; : m_PoolType(<a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">PoolingAlgorithm</a>::<a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">Max</a>)</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; , m_PadLeft(0)</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; , m_PadRight(0)</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; , m_PadTop(0)</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; , m_PadBottom(0)</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; , m_PoolWidth(0)</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; , m_PoolHeight(0)</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; , m_StrideX(0)</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; , m_StrideY(0)</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; , m_OutputShapeRounding(<a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754e">OutputShapeRounding</a>::<a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">Floor</a>)</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; , m_PaddingMethod(<a class="code" href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2f">PaddingMethod</a>::<a class="code" href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2fa843f2812f595e7ec7c5036e89fde02d6">Exclude</a>)</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; {}</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160;</div><div class="line"><a name="l00356"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a77b1d8701ac0e41b1d9d40eaacc79252"> 356</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; <span class="keywordflow">return</span> m_PoolType == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">m_PoolType</a> &amp;&amp;</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; m_PadLeft == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> &amp;&amp;</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; m_PadRight == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> &amp;&amp;</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; m_PadTop == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> &amp;&amp;</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; m_PadBottom == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> &amp;&amp;</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; m_PoolWidth == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a> &amp;&amp;</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; m_PoolHeight == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a> &amp;&amp;</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; m_StrideX == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> &amp;&amp;</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; m_StrideY == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> &amp;&amp;</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; m_OutputShapeRounding == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a> &amp;&amp;</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; m_PaddingMethod == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">m_PaddingMethod</a> &amp;&amp;</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; }</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160;<span class="comment"> /// The pooling algorithm to use (Max. Average, L2).</span></div><div class="line"><a name="l00373"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a"> 373</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">PoolingAlgorithm</a> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">m_PoolType</a>;<span class="comment"></span></div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160;<span class="comment"> /// Padding left value in the width dimension.</span></div><div class="line"><a name="l00375"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600"> 375</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>;<span class="comment"></span></div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160;<span class="comment"> /// Padding right value in the width dimension.</span></div><div class="line"><a name="l00377"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7"> 377</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;<span class="comment"></span></div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160;<span class="comment"> /// Padding top value in the height dimension.</span></div><div class="line"><a name="l00379"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046"> 379</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>;<span class="comment"></span></div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160;<span class="comment"> /// Padding bottom value in the height dimension.</span></div><div class="line"><a name="l00381"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618"> 381</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;<span class="comment"></span></div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160;<span class="comment"> /// Pooling width value.</span></div><div class="line"><a name="l00383"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86"> 383</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a>;<span class="comment"></span></div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160;<span class="comment"> /// Pooling height value.</span></div><div class="line"><a name="l00385"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010"> 385</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a>;<span class="comment"></span></div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the width dimension.</span></div><div class="line"><a name="l00387"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda"> 387</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>;<span class="comment"></span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the height dimension.</span></div><div class="line"><a name="l00389"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8"> 389</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>;<span class="comment"></span></div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160;<span class="comment"> /// The rounding method for the output shape. (Floor, Ceiling).</span></div><div class="line"><a name="l00391"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962"> 391</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754e">OutputShapeRounding</a> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a>;<span class="comment"></span></div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160;<span class="comment"> /// The padding method to be used. (Exclude, IgnoreValue).</span></div><div class="line"><a name="l00393"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c"> 393</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2f">PaddingMethod</a> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">m_PaddingMethod</a>;<span class="comment"></span></div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00395"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 395</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160;};</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160;<span class="comment">/// A Pooling3dDescriptor for the Pooling3dLayer.</span></div><div class="line"><a name="l00399"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml"> 399</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml">Pooling3dDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160;{</div><div class="line"><a name="l00401"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a9aa1f2c8dd9402d6797779d7e4768e48"> 401</a></span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a9aa1f2c8dd9402d6797779d7e4768e48">Pooling3dDescriptor</a>()</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160; : m_PoolType(<a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">PoolingAlgorithm</a>::<a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">Max</a>)</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; , m_PadLeft(0)</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160; , m_PadRight(0)</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; , m_PadTop(0)</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; , m_PadBottom(0)</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; , m_PadFront(0)</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; , m_PadBack(0)</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; , m_PoolWidth(0)</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; , m_PoolHeight(0)</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; , m_PoolDepth(0)</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; , m_StrideX(0)</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; , m_StrideY(0)</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; , m_StrideZ(0)</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; , m_OutputShapeRounding(<a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754e">OutputShapeRounding</a>::<a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">Floor</a>)</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; , m_PaddingMethod(<a class="code" href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2f">PaddingMethod</a>::<a class="code" href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2fa843f2812f595e7ec7c5036e89fde02d6">Exclude</a>)</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015">NCDHW</a>)</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; {}</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160;</div><div class="line"><a name="l00420"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#af94385df5f5b7de1466bb9357262d2ca"> 420</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml">Pooling3dDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; <span class="keywordflow">return</span> m_PoolType == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">m_PoolType</a> &amp;&amp;</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; m_PadLeft == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> &amp;&amp;</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; m_PadRight == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> &amp;&amp;</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160; m_PadTop == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> &amp;&amp;</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160; m_PadBottom == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> &amp;&amp;</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160; m_PadFront == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a> &amp;&amp;</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160; m_PadBack == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a> &amp;&amp;</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160; m_PoolWidth == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a> &amp;&amp;</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160; m_PoolHeight == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a> &amp;&amp;</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160; m_PoolDepth == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#acc978b36fd5d949bc781d7638e6e08b9">m_PoolDepth</a> &amp;&amp;</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; m_StrideX == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> &amp;&amp;</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160; m_StrideY == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> &amp;&amp;</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; m_StrideZ == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a> &amp;&amp;</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; m_OutputShapeRounding == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a> &amp;&amp;</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; m_PaddingMethod == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">m_PaddingMethod</a> &amp;&amp;</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; }</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160;<span class="comment"> /// The pooling algorithm to use (Max. Average, L2).</span></div><div class="line"><a name="l00441"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a"> 441</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">PoolingAlgorithm</a> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">m_PoolType</a>;<span class="comment"></span></div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160;<span class="comment"> /// Padding left value in the width dimension.</span></div><div class="line"><a name="l00443"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600"> 443</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>;<span class="comment"></span></div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160;<span class="comment"> /// Padding right value in the width dimension.</span></div><div class="line"><a name="l00445"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7"> 445</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;<span class="comment"></span></div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160;<span class="comment"> /// Padding top value in the height dimension.</span></div><div class="line"><a name="l00447"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046"> 447</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>;<span class="comment"></span></div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160;<span class="comment"> /// Padding bottom value in the height dimension.</span></div><div class="line"><a name="l00449"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618"> 449</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;<span class="comment"></span></div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160;<span class="comment"> /// Padding front value in the depth dimension.</span></div><div class="line"><a name="l00451"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61"> 451</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a>;<span class="comment"></span></div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160;<span class="comment"> /// Padding back value in the depth dimension.</span></div><div class="line"><a name="l00453"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb"> 453</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a>;<span class="comment"></span></div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160;<span class="comment"> /// Pooling width value.</span></div><div class="line"><a name="l00455"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86"> 455</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a>;<span class="comment"></span></div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160;<span class="comment"> /// Pooling height value.</span></div><div class="line"><a name="l00457"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010"> 457</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a>;<span class="comment"></span></div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160;<span class="comment"> /// Pooling depth value.</span></div><div class="line"><a name="l00459"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#acc978b36fd5d949bc781d7638e6e08b9"> 459</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#acc978b36fd5d949bc781d7638e6e08b9">m_PoolDepth</a>;<span class="comment"></span></div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the width dimension.</span></div><div class="line"><a name="l00461"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda"> 461</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>;<span class="comment"></span></div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the height dimension.</span></div><div class="line"><a name="l00463"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8"> 463</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>;<span class="comment"></span></div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the depth dimension.</span></div><div class="line"><a name="l00465"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da"> 465</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a>;<span class="comment"></span></div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160;<span class="comment"> /// The rounding method for the output shape. (Floor, Ceiling).</span></div><div class="line"><a name="l00467"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962"> 467</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754e">OutputShapeRounding</a> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a>;<span class="comment"></span></div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160;<span class="comment"> /// The padding method to be used. (Exclude, IgnoreValue).</span></div><div class="line"><a name="l00469"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c"> 469</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2f">PaddingMethod</a> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">m_PaddingMethod</a>;<span class="comment"></span></div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160;<span class="comment"> /// The data layout to be used (NCDHW, NDHWC).</span></div><div class="line"><a name="l00471"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 471</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160;};</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160;<span class="comment">/// A FullyConnectedDescriptor for the FullyConnectedLayer.</span></div><div class="line"><a name="l00475"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml"> 475</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160;{</div><div class="line"><a name="l00477"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml#ab70cd7344da13580556ea1af358a8a8b"> 477</a></span>&#160; <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#ab70cd7344da13580556ea1af358a8a8b">FullyConnectedDescriptor</a>()</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160; : m_BiasEnabled(false)</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; , m_TransposeWeightMatrix(false)</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160; , m_ConstantWeights(true)</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; {}</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160;</div><div class="line"><a name="l00483"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a81499fc0c8844290c0f273b6c5e184a1"> 483</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160; <span class="keywordflow">return</span> m_BiasEnabled == rhs.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a></div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160; &amp;&amp; m_TransposeWeightMatrix == rhs.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a></div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160; &amp;&amp; m_ConstantWeights == rhs.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a2d3dcfc10f90adedc995b64211dab6e9">m_ConstantWeights</a>;</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160; }</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160;<span class="comment"> /// Get the number of inputs.</span></div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160;<span class="comment"></span> uint32_t <a class="code" href="namespacearmnn.xhtml#aed508ea8d7b3ef4e171cb6f178acf086">GetNumInputs</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160;<span class="comment"> /// Enable/disable bias.</span></div><div class="line"><a name="l00494"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25"> 494</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160;<span class="comment"> /// Enable/disable transpose weight matrix.</span></div><div class="line"><a name="l00496"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a"> 496</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a>;<span class="comment"></span></div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160;<span class="comment"> /// Enable/disable constant weights and biases.</span></div><div class="line"><a name="l00498"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a2d3dcfc10f90adedc995b64211dab6e9"> 498</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a2d3dcfc10f90adedc995b64211dab6e9">m_ConstantWeights</a>;</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160;};</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160;<span class="comment">/// A Convolution2dDescriptor for the Convolution2dLayer.</span></div><div class="line"><a name="l00502"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml"> 502</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160;{</div><div class="line"><a name="l00504"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ab297e72fab7f2ebba2ffd05b11bfbf7a"> 504</a></span>&#160; <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ab297e72fab7f2ebba2ffd05b11bfbf7a">Convolution2dDescriptor</a>()</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; : m_PadLeft(0)</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160; , m_PadRight(0)</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160; , m_PadTop(0)</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160; , m_PadBottom(0)</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160; , m_StrideX(1)</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160; , m_StrideY(1)</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160; , m_DilationX(1)</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; , m_DilationY(1)</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160; , m_BiasEnabled(false)</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160; , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>&#160; {}</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160;</div><div class="line"><a name="l00517"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a49fa05efa6154c44c7701b125afd802c"> 517</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160; <span class="keywordflow">return</span> m_PadLeft == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> &amp;&amp;</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160; m_PadRight == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> &amp;&amp;</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160; m_PadTop == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> &amp;&amp;</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160; m_PadBottom == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> &amp;&amp;</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>&#160; m_StrideX == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> &amp;&amp;</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>&#160; m_StrideY == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> &amp;&amp;</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>&#160; m_DilationX == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> &amp;&amp;</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; m_DilationY == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> &amp;&amp;</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160; m_BiasEnabled == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> &amp;&amp;</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>&#160; m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160; }</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>&#160; uint32_t <a class="code" href="namespacearmnn.xhtml#aed508ea8d7b3ef4e171cb6f178acf086">GetNumInputs</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160;</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160;<span class="comment"> /// Padding left value in the width dimension.</span></div><div class="line"><a name="l00534"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600"> 534</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>;<span class="comment"></span></div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160;<span class="comment"> /// Padding right value in the width dimension.</span></div><div class="line"><a name="l00536"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7"> 536</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;<span class="comment"></span></div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160;<span class="comment"> /// Padding top value in the height dimension.</span></div><div class="line"><a name="l00538"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046"> 538</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>;<span class="comment"></span></div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160;<span class="comment"> /// Padding bottom value in the height dimension.</span></div><div class="line"><a name="l00540"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618"> 540</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;<span class="comment"></span></div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the width dimension.</span></div><div class="line"><a name="l00542"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda"> 542</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>;<span class="comment"></span></div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the height dimension.</span></div><div class="line"><a name="l00544"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8"> 544</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>;<span class="comment"></span></div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160;<span class="comment"> /// Dilation along x axis</span></div><div class="line"><a name="l00546"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1"> 546</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>;<span class="comment"></span></div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160;<span class="comment"> /// Dilation along y axis</span></div><div class="line"><a name="l00548"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907"> 548</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>;<span class="comment"></span></div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160;<span class="comment"> /// Enable/disable bias.</span></div><div class="line"><a name="l00550"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25"> 550</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00552"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 552</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160;};</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160;<span class="comment">/// A Convolution3dDescriptor for the Convolution3dLayer.</span></div><div class="line"><a name="l00556"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml"> 556</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" 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name="l00563"></a><span class="lineno"> 563</span>&#160; , m_PadFront(0)</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160; , m_PadBack(0)</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>&#160; , m_StrideX(1)</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160; , m_StrideY(1)</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160; , m_StrideZ(1)</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160; , m_DilationX(1)</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160; , m_DilationY(1)</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160; , m_DilationZ(1)</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>&#160; , m_BiasEnabled(false)</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>&#160; , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">NDHWC</a>)</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>&#160; {}</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>&#160;</div><div class="line"><a name="l00575"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ad94a908c21d0815c7bc7f911e5be1154"> 575</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml">Convolution3dDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>&#160; <span class="keywordflow">return</span> m_PadLeft == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> &amp;&amp;</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>&#160; m_PadRight == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> &amp;&amp;</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>&#160; m_PadTop == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> &amp;&amp;</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>&#160; m_PadBottom == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> &amp;&amp;</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>&#160; m_PadFront == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a> &amp;&amp;</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>&#160; m_PadBack == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a> &amp;&amp;</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>&#160; m_StrideX == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> &amp;&amp;</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>&#160; m_StrideY == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> &amp;&amp;</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>&#160; m_StrideZ == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a> &amp;&amp;</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>&#160; m_DilationX == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> &amp;&amp;</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>&#160; m_DilationY == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> &amp;&amp;</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160; m_DilationZ == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a16543bce17aa2e4d6e81c88f74227192">m_DilationZ</a> &amp;&amp;</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>&#160; m_BiasEnabled == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> &amp;&amp;</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>&#160; m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160; }</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>&#160;<span class="comment"> /// Get the number of views/inputs.</span></div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>&#160;<span class="comment"></span> uint32_t <a class="code" href="namespacearmnn.xhtml#aed508ea8d7b3ef4e171cb6f178acf086">GetNumInputs</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160;<span class="comment"> /// Padding left value in the width dimension.</span></div><div class="line"><a name="l00597"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600"> 597</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>;<span class="comment"></span></div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>&#160;<span class="comment"> /// Padding right value in the width dimension.</span></div><div class="line"><a name="l00599"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7"> 599</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;<span class="comment"></span></div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>&#160;<span class="comment"> /// Padding top value in the height dimension.</span></div><div class="line"><a name="l00601"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046"> 601</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>;<span class="comment"></span></div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>&#160;<span class="comment"> /// Padding bottom value in the height dimension.</span></div><div class="line"><a name="l00603"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618"> 603</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;<span class="comment"></span></div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>&#160;<span class="comment"> /// Padding front value in the depth dimension.</span></div><div class="line"><a name="l00605"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61"> 605</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a>;<span class="comment"></span></div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>&#160;<span class="comment"> /// Padding back value in the depth dimension.</span></div><div class="line"><a name="l00607"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb"> 607</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a>;<span class="comment"></span></div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the width dimension.</span></div><div class="line"><a name="l00609"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda"> 609</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>;<span class="comment"></span></div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the height dimension.</span></div><div class="line"><a name="l00611"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8"> 611</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>;<span class="comment"></span></div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the depth dimension.</span></div><div class="line"><a name="l00613"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da"> 613</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a>;<span class="comment"></span></div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>&#160;<span class="comment"> /// Dilation along x axis</span></div><div class="line"><a name="l00615"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1"> 615</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>;<span class="comment"></span></div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>&#160;<span class="comment"> /// Dilation along y axis</span></div><div class="line"><a name="l00617"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907"> 617</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>;<span class="comment"></span></div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>&#160;<span class="comment"> /// Dilation along z axis</span></div><div class="line"><a name="l00619"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a16543bce17aa2e4d6e81c88f74227192"> 619</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a16543bce17aa2e4d6e81c88f74227192">m_DilationZ</a>;<span class="comment"></span></div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>&#160;<span class="comment"> /// Enable/disable bias.</span></div><div class="line"><a name="l00621"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25"> 621</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>&#160;<span class="comment"> /// The data layout to be used (NDHWC, NCDHW).</span></div><div class="line"><a name="l00623"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 623</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>&#160;};</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>&#160;<span class="comment">/// A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer.</span></div><div class="line"><a name="l00627"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml"> 627</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>&#160;{</div><div class="line"><a name="l00629"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a8b4bd784a8d7b85b437c7c5d61c93bd9"> 629</a></span>&#160; <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a8b4bd784a8d7b85b437c7c5d61c93bd9">DepthwiseConvolution2dDescriptor</a>()</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>&#160; : m_PadLeft(0)</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>&#160; , m_PadRight(0)</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>&#160; , m_PadTop(0)</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>&#160; , m_PadBottom(0)</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>&#160; , m_StrideX(1)</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>&#160; , m_StrideY(1)</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>&#160; , m_DilationX(1)</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>&#160; , m_DilationY(1)</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>&#160; , m_BiasEnabled(false)</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>&#160; , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>&#160; {}</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>&#160;</div><div class="line"><a name="l00642"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a5cfc12c95893da682e3bb526a81e7864"> 642</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>&#160; <span class="keywordflow">return</span> m_PadLeft == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> &amp;&amp;</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>&#160; m_PadRight == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> &amp;&amp;</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>&#160; m_PadTop == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> &amp;&amp;</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>&#160; m_PadBottom == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> &amp;&amp;</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>&#160; m_StrideX == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> &amp;&amp;</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>&#160; m_StrideY == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> &amp;&amp;</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>&#160; m_DilationX == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> &amp;&amp;</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>&#160; m_DilationY == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> &amp;&amp;</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>&#160; m_BiasEnabled == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> &amp;&amp;</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>&#160; m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>&#160; }</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>&#160;<span class="comment"> /// Get the number of views/inputs.</span></div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>&#160;<span class="comment"></span> uint32_t <a class="code" href="namespacearmnn.xhtml#aed508ea8d7b3ef4e171cb6f178acf086">GetNumInputs</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>&#160;<span class="comment"> /// Padding left value in the width dimension.</span></div><div class="line"><a name="l00660"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600"> 660</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>;<span class="comment"></span></div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>&#160;<span class="comment"> /// Padding right value in the width dimension.</span></div><div class="line"><a name="l00662"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7"> 662</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;<span class="comment"></span></div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>&#160;<span class="comment"> /// Padding top value in the height dimension.</span></div><div class="line"><a name="l00664"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046"> 664</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>;<span class="comment"></span></div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>&#160;<span class="comment"> /// Padding bottom value in the height dimension.</span></div><div class="line"><a name="l00666"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618"> 666</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;<span class="comment"></span></div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the width dimension.</span></div><div class="line"><a name="l00668"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda"> 668</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>;<span class="comment"></span></div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the height dimension.</span></div><div class="line"><a name="l00670"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8"> 670</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>;<span class="comment"></span></div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>&#160;<span class="comment"> /// Dilation factor value for width dimension.</span></div><div class="line"><a name="l00672"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1"> 672</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>;<span class="comment"></span></div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>&#160;<span class="comment"> /// Dilation factor value for height dimension.</span></div><div class="line"><a name="l00674"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907"> 674</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>;<span class="comment"></span></div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>&#160;<span class="comment"> /// Enable/disable bias.</span></div><div class="line"><a name="l00676"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25"> 676</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00678"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 678</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>&#160;};</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>&#160;</div><div class="line"><a name="l00681"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml"> 681</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>&#160;{</div><div class="line"><a name="l00683"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ac5c408724c832bc1f75bad758fe2b7da"> 683</a></span>&#160; <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ac5c408724c832bc1f75bad758fe2b7da">DetectionPostProcessDescriptor</a>()</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>&#160; : m_MaxDetections(0)</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>&#160; , m_MaxClassesPerDetection(1)</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>&#160; , m_DetectionsPerClass(1)</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>&#160; , m_NmsScoreThreshold(0)</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>&#160; , m_NmsIouThreshold(0)</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>&#160; , m_NumClasses(0)</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>&#160; , m_UseRegularNms(false)</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>&#160; , m_ScaleX(0)</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>&#160; , m_ScaleY(0)</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>&#160; , m_ScaleW(0)</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>&#160; , m_ScaleH(0)</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>&#160; {}</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>&#160;</div><div class="line"><a name="l00697"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a0773c6fc2b30dc55c1bbdfc603e6e79f"> 697</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>&#160; <span class="keywordflow">return</span> m_MaxDetections == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">m_MaxDetections</a> &amp;&amp;</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>&#160; m_MaxClassesPerDetection == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">m_MaxClassesPerDetection</a> &amp;&amp;</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>&#160; m_DetectionsPerClass == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055">m_DetectionsPerClass</a> &amp;&amp;</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>&#160; m_NmsScoreThreshold == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592">m_NmsScoreThreshold</a> &amp;&amp;</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>&#160; m_NmsIouThreshold == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101">m_NmsIouThreshold</a> &amp;&amp;</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>&#160; m_NumClasses == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a> &amp;&amp;</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>&#160; m_UseRegularNms == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">m_UseRegularNms</a> &amp;&amp;</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>&#160; m_ScaleX == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f">m_ScaleX</a> &amp;&amp;</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>&#160; m_ScaleY == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028">m_ScaleY</a> &amp;&amp;</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>&#160; m_ScaleW == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58">m_ScaleW</a> &amp;&amp;</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>&#160; m_ScaleH == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72">m_ScaleH</a>;</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>&#160; }</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>&#160;<span class="comment"> /// Maximum numbers of detections.</span></div><div class="line"><a name="l00713"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014"> 713</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">m_MaxDetections</a>;<span class="comment"></span></div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>&#160;<span class="comment"> /// Maximum numbers of classes per detection, used in Fast NMS.</span></div><div class="line"><a name="l00715"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8"> 715</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">m_MaxClassesPerDetection</a>;<span class="comment"></span></div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>&#160;<span class="comment"> /// Detections per classes, used in Regular NMS.</span></div><div class="line"><a name="l00717"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055"> 717</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055">m_DetectionsPerClass</a>;<span class="comment"></span></div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>&#160;<span class="comment"> /// NMS score threshold.</span></div><div class="line"><a name="l00719"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592"> 719</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592">m_NmsScoreThreshold</a>;<span class="comment"></span></div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>&#160;<span class="comment"> /// Intersection over union threshold.</span></div><div class="line"><a name="l00721"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101"> 721</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101">m_NmsIouThreshold</a>;<span class="comment"></span></div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>&#160;<span class="comment"> /// Number of classes.</span></div><div class="line"><a name="l00723"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4"> 723</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a>;<span class="comment"></span></div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>&#160;<span class="comment"> /// Use Regular NMS.</span></div><div class="line"><a name="l00725"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f"> 725</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">m_UseRegularNms</a>;<span class="comment"></span></div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>&#160;<span class="comment"> /// Center size encoding scale x.</span></div><div class="line"><a name="l00727"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f"> 727</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f">m_ScaleX</a>;<span class="comment"></span></div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>&#160;<span class="comment"> /// Center size encoding scale y.</span></div><div class="line"><a name="l00729"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028"> 729</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028">m_ScaleY</a>;<span class="comment"></span></div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>&#160;<span class="comment"> /// Center size encoding scale weight.</span></div><div class="line"><a name="l00731"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58"> 731</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58">m_ScaleW</a>;<span class="comment"></span></div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>&#160;<span class="comment"> /// Center size encoding scale height.</span></div><div class="line"><a name="l00733"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72"> 733</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72">m_ScaleH</a>;</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>&#160;};</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>&#160;<span class="comment">/// A NormalizationDescriptor for the NormalizationLayer.</span></div><div class="line"><a name="l00737"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml"> 737</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>&#160;{</div><div class="line"><a name="l00739"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a8adc7995fc87683fb9a99b3a161904c6"> 739</a></span>&#160; <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8adc7995fc87683fb9a99b3a161904c6">NormalizationDescriptor</a>()</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>&#160; : m_NormChannelType(<a class="code" href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437">NormalizationAlgorithmChannel</a>::<a class="code" href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437a810f43f3996922151c39b76143faeecc">Across</a>)</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>&#160; , m_NormMethodType(<a class="code" href="namespacearmnn.xhtml#ad605d1661fa0d8c7fea651d82fbe11c9">NormalizationAlgorithmMethod</a>::<a class="code" href="namespacearmnn.xhtml#ad605d1661fa0d8c7fea651d82fbe11c9ac65d2e51c610dd3853a3c777aa8bfe9d">LocalBrightness</a>)</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>&#160; , m_NormSize(0)</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>&#160; , m_Alpha(0.f)</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>&#160; , m_Beta(0.f)</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>&#160; , m_K(0.f)</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>&#160; , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>&#160; {}</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>&#160;</div><div class="line"><a name="l00749"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#af0e4b97a3ecaf95a364f33c37cdbd052"> 749</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>&#160; <span class="keywordflow">return</span> m_NormChannelType == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#afe1f0f09d49ad2befc01f8789187b7dd">m_NormChannelType</a> &amp;&amp;</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>&#160; m_NormMethodType == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a05945f080edf694b631960728b87aadb">m_NormMethodType</a> &amp;&amp;</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>&#160; m_NormSize == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#aa70c05f1aad12fbd9d9ec43ea4557b03">m_NormSize</a> &amp;&amp;</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>&#160; m_Alpha == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a174279be57d7596eeb04c6b7f7510f99">m_Alpha</a> &amp;&amp;</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>&#160; m_Beta == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a> &amp;&amp;</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>&#160; m_K == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8526ea7cf860d8e7f8340e9f9354f9f0">m_K</a> &amp;&amp;</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>&#160; m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>&#160; }</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>&#160;<span class="comment"> /// Normalization channel algorithm to use (Across, Within).</span></div><div class="line"><a name="l00761"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#afe1f0f09d49ad2befc01f8789187b7dd"> 761</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437">NormalizationAlgorithmChannel</a> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#afe1f0f09d49ad2befc01f8789187b7dd">m_NormChannelType</a>;<span class="comment"></span></div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>&#160;<span class="comment"> /// Normalization method algorithm to use (LocalBrightness, LocalContrast).</span></div><div class="line"><a name="l00763"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a05945f080edf694b631960728b87aadb"> 763</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad605d1661fa0d8c7fea651d82fbe11c9">NormalizationAlgorithmMethod</a> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a05945f080edf694b631960728b87aadb">m_NormMethodType</a>;<span class="comment"></span></div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>&#160;<span class="comment"> /// Depth radius value.</span></div><div class="line"><a name="l00765"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#aa70c05f1aad12fbd9d9ec43ea4557b03"> 765</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#aa70c05f1aad12fbd9d9ec43ea4557b03">m_NormSize</a>;<span class="comment"></span></div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>&#160;<span class="comment"> /// Alpha value for the normalization equation.</span></div><div class="line"><a name="l00767"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a174279be57d7596eeb04c6b7f7510f99"> 767</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a174279be57d7596eeb04c6b7f7510f99">m_Alpha</a>;<span class="comment"></span></div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>&#160;<span class="comment"> /// Beta value for the normalization equation.</span></div><div class="line"><a name="l00769"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5"> 769</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>;<span class="comment"></span></div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>&#160;<span class="comment"> /// Kappa value used for the across channel normalization equation.</span></div><div class="line"><a name="l00771"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a8526ea7cf860d8e7f8340e9f9354f9f0"> 771</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8526ea7cf860d8e7f8340e9f9354f9f0">m_K</a>;<span class="comment"></span></div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00773"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 773</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>&#160;};</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>&#160;<span class="comment">/// A L2NormalizationDescriptor for the L2NormalizationLayer.</span></div><div class="line"><a name="l00777"></a><span class="lineno"><a class="line" href="structarmnn_1_1_l2_normalization_descriptor.xhtml"> 777</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>&#160;{</div><div class="line"><a name="l00779"></a><span class="lineno"><a class="line" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a7c758226ee35a1387dff4fb8a5f14948"> 779</a></span>&#160; <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a7c758226ee35a1387dff4fb8a5f14948">L2NormalizationDescriptor</a>()</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>&#160; : m_Eps(1e-12f)</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>&#160; , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>&#160; {}</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>&#160;</div><div class="line"><a name="l00784"></a><span class="lineno"><a class="line" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#affc4fe96bd046f459ae712bd811b9d28"> 784</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>&#160; <span class="keywordflow">return</span> m_Eps == rhs.<a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a> &amp;&amp; m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>&#160; }</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>&#160;<span class="comment"> /// Used to avoid dividing by zero.</span></div><div class="line"><a name="l00790"></a><span class="lineno"><a class="line" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c"> 790</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a>;<span class="comment"></span></div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00792"></a><span class="lineno"><a class="line" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 792</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>&#160;};</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>&#160;<span class="comment">/// A BatchNormalizationDescriptor for the BatchNormalizationLayer.</span></div><div class="line"><a name="l00796"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_normalization_descriptor.xhtml"> 796</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>&#160;{</div><div class="line"><a name="l00798"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#aefba12eed94174fb6eaeb78b6eaf7e59"> 798</a></span>&#160; <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#aefba12eed94174fb6eaeb78b6eaf7e59">BatchNormalizationDescriptor</a>()</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>&#160; : m_Eps(0.0001f)</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>&#160; , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>&#160; {}</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>&#160;</div><div class="line"><a name="l00803"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a65f4f175144b079a9b33eb4871192af6"> 803</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>&#160; <span class="keywordflow">return</span> m_Eps == rhs.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a> &amp;&amp; m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>&#160; }</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>&#160;<span class="comment"> /// Value to add to the variance. Used to avoid dividing by zero.</span></div><div class="line"><a name="l00809"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c"> 809</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a>;<span class="comment"></span></div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00811"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 811</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>&#160;};</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>&#160;<span class="comment">/// An InstanceNormalizationDescriptor for InstanceNormalizationLayer</span></div><div class="line"><a name="l00815"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_descriptor.xhtml"> 815</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">InstanceNormalizationDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>&#160;{</div><div class="line"><a name="l00817"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a36f0ec397ba668e40fbb48a806691feb"> 817</a></span>&#160; <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a36f0ec397ba668e40fbb48a806691feb">InstanceNormalizationDescriptor</a>()</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>&#160; : m_Gamma(1.0f)</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>&#160; , m_Beta(0.0f)</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>&#160; , m_Eps(1e-12f)</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>&#160; , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>&#160; {}</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>&#160;</div><div class="line"><a name="l00824"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a4218cb8f0071de0300393c78e3900b80"> 824</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">InstanceNormalizationDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>&#160; <span class="keywordflow">return</span> m_Gamma == rhs.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a5e078fd505aef7bccaa05c8058e096cc">m_Gamma</a> &amp;&amp;</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>&#160; m_Beta == rhs.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a> &amp;&amp;</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>&#160; m_Eps == rhs.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a> &amp;&amp;</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>&#160; m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>&#160; }</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>&#160;<span class="comment"> /// Gamma, the scale scalar value applied for the normalized tensor. Defaults to 1.0.</span></div><div class="line"><a name="l00833"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a5e078fd505aef7bccaa05c8058e096cc"> 833</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a5e078fd505aef7bccaa05c8058e096cc">m_Gamma</a>;<span class="comment"></span></div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>&#160;<span class="comment"> /// Beta, the offset scalar value applied for the normalized tensor. Defaults to 1.0.</span></div><div class="line"><a name="l00835"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5"> 835</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>;<span class="comment"></span></div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>&#160;<span class="comment"> /// Epsilon, small scalar value added to variance to avoid dividing by zero. Defaults to 1e-12f.</span></div><div class="line"><a name="l00837"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c"> 837</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a>;<span class="comment"></span></div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00839"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 839</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>&#160;};</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>&#160;<span class="comment">/// A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer.</span></div><div class="line"><a name="l00843"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml"> 843</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">BatchToSpaceNdDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>&#160;{</div><div class="line"><a name="l00845"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a2b53a866f5baae6a357bf034019e0ff3"> 845</a></span>&#160; <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a2b53a866f5baae6a357bf034019e0ff3">BatchToSpaceNdDescriptor</a>()</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span>&#160; : m_BlockShape({1, 1})</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>&#160; , m_Crops({{0, 0}, {0, 0}})</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>&#160; , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>&#160; {}</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>&#160;</div><div class="line"><a name="l00851"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6280b6dbb53caebf325b450a52dc53f9"> 851</a></span>&#160; <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6280b6dbb53caebf325b450a52dc53f9">BatchToSpaceNdDescriptor</a>(std::vector&lt;unsigned int&gt; blockShape,</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>&#160; std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt; crops)</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>&#160; : m_BlockShape(blockShape)</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>&#160; , m_Crops(crops)</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>&#160; , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>&#160; {}</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>&#160;</div><div class="line"><a name="l00858"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a160993b2430d1063d2dc803d1ff0903f"> 858</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">BatchToSpaceNdDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>&#160; <span class="keywordflow">return</span> m_BlockShape == rhs.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a> &amp;&amp;</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>&#160; m_Crops == rhs.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a3941f674c071c9503e00d2b59e92e454">m_Crops</a> &amp;&amp;</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>&#160; m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>&#160; }</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span>&#160;<span class="comment"> /// Block shape values.</span></div><div class="line"><a name="l00866"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696"> 866</a></span>&#160;<span class="comment"></span> std::vector&lt;unsigned int&gt; <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>;<span class="comment"></span></div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>&#160;<span class="comment"> /// The values to crop from the input dimension.</span></div><div class="line"><a name="l00868"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a3941f674c071c9503e00d2b59e92e454"> 868</a></span>&#160;<span class="comment"></span> std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt; <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a3941f674c071c9503e00d2b59e92e454">m_Crops</a>;<span class="comment"></span></div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00870"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 870</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>&#160;};</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>&#160;<span class="comment">/// A FakeQuantizationDescriptor for the FakeQuantizationLayer.</span></div><div class="line"><a name="l00874"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fake_quantization_descriptor.xhtml"> 874</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml">FakeQuantizationDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>&#160;{</div><div class="line"><a name="l00876"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a07e9336ef20ef3348c954f620d9a31f3"> 876</a></span>&#160; <a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a07e9336ef20ef3348c954f620d9a31f3">FakeQuantizationDescriptor</a>()</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>&#160; : m_Min(-6.0f)</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>&#160; , m_Max(6.0f)</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span>&#160; {}</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>&#160;</div><div class="line"><a name="l00881"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a4f25330d63abd7dc45a77c17efb9eb8f"> 881</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml">FakeQuantizationDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span>&#160; <span class="keywordflow">return</span> m_Min == rhs.<a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a4c14a8e0d126891dd0c38e7584312bfd">m_Min</a> &amp;&amp; m_Max == rhs.<a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#ad3729c591f7bfda7ad9ef9927d8a1bd6">m_Max</a>;</div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>&#160; }</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>&#160;<span class="comment"> /// Minimum value.</span></div><div class="line"><a name="l00887"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a4c14a8e0d126891dd0c38e7584312bfd"> 887</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a4c14a8e0d126891dd0c38e7584312bfd">m_Min</a>;<span class="comment"></span></div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>&#160;<span class="comment"> /// Maximum value.</span></div><div class="line"><a name="l00889"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#ad3729c591f7bfda7ad9ef9927d8a1bd6"> 889</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#ad3729c591f7bfda7ad9ef9927d8a1bd6">m_Max</a>;</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span>&#160;};</div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>&#160;<span class="comment">/// A FillDescriptor for the FillLayer</span></div><div class="line"><a name="l00893"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fill_descriptor.xhtml"> 893</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_fill_descriptor.xhtml">FillDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>&#160;{</div><div class="line"><a name="l00895"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fill_descriptor.xhtml#ab424db19258eeff7f27ff87e9b74bf5e"> 895</a></span>&#160; <a class="code" href="structarmnn_1_1_fill_descriptor.xhtml#ab424db19258eeff7f27ff87e9b74bf5e">FillDescriptor</a>()</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>&#160; : m_Value(0)</div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span>&#160; {}</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>&#160;</div><div class="line"><a name="l00899"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fill_descriptor.xhtml#a5d52acced1b220575c512f19480f6e99"> 899</a></span>&#160; <a class="code" href="structarmnn_1_1_fill_descriptor.xhtml#a5d52acced1b220575c512f19480f6e99">FillDescriptor</a>(<span class="keyword">const</span> <span class="keywordtype">float</span>&amp; value)</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>&#160; : m_Value(value)</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>&#160; {}</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>&#160;</div><div class="line"><a name="l00903"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fill_descriptor.xhtml#a53d8dd9b43d051576812a055768ba3f3"> 903</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fill_descriptor.xhtml">FillDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span>&#160; <span class="keywordflow">return</span> m_Value == rhs.<a class="code" href="structarmnn_1_1_fill_descriptor.xhtml#ab3ebc5cf4a617d43371a4cb7fecdeb32">m_Value</a>;</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span>&#160; }</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span>&#160;</div><div class="line"><a name="l00908"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fill_descriptor.xhtml#ab3ebc5cf4a617d43371a4cb7fecdeb32"> 908</a></span>&#160; <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_fill_descriptor.xhtml#ab3ebc5cf4a617d43371a4cb7fecdeb32">m_Value</a>;</div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span>&#160;};</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span>&#160;<span class="comment">/// A GatherDescriptor for the GatherLayer.</span></div><div class="line"><a name="l00912"></a><span class="lineno"><a class="line" href="structarmnn_1_1_gather_descriptor.xhtml"> 912</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_gather_descriptor.xhtml">GatherDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>&#160;{</div><div class="line"><a name="l00914"></a><span class="lineno"><a class="line" href="structarmnn_1_1_gather_descriptor.xhtml#acb329a5b427a3799f5e5c12f369a5fd5"> 914</a></span>&#160; <a class="code" href="structarmnn_1_1_gather_descriptor.xhtml#acb329a5b427a3799f5e5c12f369a5fd5">GatherDescriptor</a>()</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span>&#160; : m_Axis(0)</div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span>&#160; {}</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>&#160;</div><div class="line"><a name="l00918"></a><span class="lineno"><a class="line" href="structarmnn_1_1_gather_descriptor.xhtml#a66ec23a1fc5e43a66c07e593f68e3188"> 918</a></span>&#160; <a class="code" href="structarmnn_1_1_gather_descriptor.xhtml#a66ec23a1fc5e43a66c07e593f68e3188">GatherDescriptor</a>(int32_t axis)</div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>&#160; : m_Axis(axis)</div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span>&#160; {}</div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span>&#160;</div><div class="line"><a name="l00922"></a><span class="lineno"><a class="line" href="structarmnn_1_1_gather_descriptor.xhtml#a41aebec26893f7648a4af23176313d11"> 922</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_gather_descriptor.xhtml">GatherDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span>&#160; <span class="keywordflow">return</span> m_Axis == rhs.<a class="code" href="structarmnn_1_1_gather_descriptor.xhtml#a35d11c7d509d1adbae1ae01c58394a7f">m_Axis</a>;</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span>&#160; }</div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span>&#160;<span class="comment"> /// The axis in params to gather indices from</span></div><div class="line"><a name="l00928"></a><span class="lineno"><a class="line" href="structarmnn_1_1_gather_descriptor.xhtml#a35d11c7d509d1adbae1ae01c58394a7f"> 928</a></span>&#160;<span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_gather_descriptor.xhtml#a35d11c7d509d1adbae1ae01c58394a7f">m_Axis</a>;</div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span>&#160;};</div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>&#160;<span class="comment">/// A ResizeDescriptor for the ResizeLayer.</span></div><div class="line"><a name="l00932"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml"> 932</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>&#160;{</div><div class="line"><a name="l00934"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#a2c16307e3575b3bfcd9d33a3923bec73"> 934</a></span>&#160; <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a2c16307e3575b3bfcd9d33a3923bec73">ResizeDescriptor</a>()</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>&#160; : m_TargetWidth(0)</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>&#160; , m_TargetHeight(0)</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span>&#160; , m_Method(<a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4">ResizeMethod</a>::<a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">NearestNeighbor</a>)</div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>&#160; , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span>&#160; , m_AlignCorners(false)</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>&#160; , m_HalfPixelCenters(false)</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span>&#160; {}</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span>&#160;</div><div class="line"><a name="l00943"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#afa0b84fc29f09035aefda7f27f7acef2"> 943</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span>&#160; <span class="keywordflow">return</span> m_TargetWidth == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a> &amp;&amp;</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>&#160; m_TargetHeight == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a> &amp;&amp;</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>&#160; m_Method == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b">m_Method</a> &amp;&amp;</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>&#160; m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> &amp;&amp;</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span>&#160; m_AlignCorners == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#ae1a4b3b6c60552509b89747cebb900a2">m_AlignCorners</a> &amp;&amp;</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span>&#160; m_HalfPixelCenters == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a4022d5107338aaf5eb7abebf78a1360b">m_HalfPixelCenters</a>;</div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span>&#160; }</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>&#160;<span class="comment"> /// Target width value.</span></div><div class="line"><a name="l00954"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c"> 954</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a>;<span class="comment"></span></div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span>&#160;<span class="comment"> /// Target height value.</span></div><div class="line"><a name="l00956"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd"> 956</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a>;<span class="comment"></span></div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span>&#160;<span class="comment"> /// The Interpolation method to use</span></div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span>&#160;<span class="comment"> /// (Bilinear, NearestNeighbor).</span></div><div class="line"><a name="l00959"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b"> 959</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4">ResizeMethod</a> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b">m_Method</a>;<span class="comment"></span></div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00961"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 961</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;<span class="comment"></span></div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>&#160;<span class="comment"> /// Aligned corners</span></div><div class="line"><a name="l00963"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#ae1a4b3b6c60552509b89747cebb900a2"> 963</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#ae1a4b3b6c60552509b89747cebb900a2">m_AlignCorners</a>;<span class="comment"></span></div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>&#160;<span class="comment"> /// Half Pixel Centers</span></div><div class="line"><a name="l00965"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#a4022d5107338aaf5eb7abebf78a1360b"> 965</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a4022d5107338aaf5eb7abebf78a1360b">m_HalfPixelCenters</a>;</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>&#160;};</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>&#160;</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>&#160;<span class="comment">/// A ReshapeDescriptor for the ReshapeLayer.</span></div><div class="line"><a name="l00970"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reshape_descriptor.xhtml"> 970</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>&#160;{</div><div class="line"><a name="l00972"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reshape_descriptor.xhtml#aa56cfbc7e14b271ba389e064a769e2f2"> 972</a></span>&#160; <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml#aa56cfbc7e14b271ba389e064a769e2f2">ReshapeDescriptor</a>()</div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>&#160; : m_TargetShape()</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span>&#160; {}</div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span>&#160;</div><div class="line"><a name="l00976"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reshape_descriptor.xhtml#a167ba78098e8fdf1e3d467c8ac5bd57c"> 976</a></span>&#160; <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml#a167ba78098e8fdf1e3d467c8ac5bd57c">ReshapeDescriptor</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; shape)</div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>&#160; : m_TargetShape(shape)</div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span>&#160; {}</div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span>&#160;</div><div class="line"><a name="l00980"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reshape_descriptor.xhtml#a382377c9853a4aca845b50ba73a74c79"> 980</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>&#160; <span class="keywordflow">return</span> m_TargetShape == rhs.<a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml#a1178f4dafdda81f59c15145ec327f7d9">m_TargetShape</a>;</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span>&#160; }</div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>&#160;<span class="comment"> /// Target shape value.</span></div><div class="line"><a name="l00986"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reshape_descriptor.xhtml#a1178f4dafdda81f59c15145ec327f7d9"> 986</a></span>&#160;<span class="comment"></span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml#a1178f4dafdda81f59c15145ec327f7d9">m_TargetShape</a>;</div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>&#160;};</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span>&#160;<span class="comment">/// A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer.</span></div><div class="line"><a name="l00990"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml"> 990</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span>&#160;{</div><div class="line"><a name="l00992"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#aa7a846e189c37a6092fbf10e90110dc9"> 992</a></span>&#160; 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blockShape,</div><div class="line"><a name="l00999"></a><span class="lineno"> 999</span>&#160; <span class="keyword">const</span> std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt;&amp; padList)</div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>&#160; : m_BlockShape(blockShape)</div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>&#160; , m_PadList(padList)</div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>&#160; , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>&#160; {}</div><div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>&#160;</div><div class="line"><a name="l01005"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#ad646266bca8921076c3bcfa68931d375"> 1005</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>&#160; <span class="keywordflow">return</span> m_BlockShape == rhs.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a> &amp;&amp;</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>&#160; m_PadList == rhs.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> &amp;&amp;</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>&#160; m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>&#160; }</div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>&#160;<span class="comment"> /// Block shape value.</span></div><div class="line"><a name="l01013"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696"> 1013</a></span>&#160;<span class="comment"></span> std::vector&lt;unsigned int&gt; <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>;<span class="comment"></span></div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>&#160;<span class="comment"> /// @brief Specifies the padding values for the input dimension:</span></div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>&#160;<span class="comment"> /// heightPad{top, bottom} widthPad{left, right}.</span></div><div class="line"><a name="l01016"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3"> 1016</a></span>&#160;<span class="comment"></span> std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt; <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>;<span class="comment"></span></div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l01018"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 1018</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>&#160;};</div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>&#160;<span class="comment">/// A SpaceToDepthDescriptor for the SpaceToDepthLayer</span></div><div class="line"><a name="l01022"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_depth_descriptor.xhtml"> 1022</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>&#160;{</div><div class="line"><a name="l01024"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#af295348553622bb3baadff6ea5124414"> 1024</a></span>&#160; <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#af295348553622bb3baadff6ea5124414">SpaceToDepthDescriptor</a>()</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>&#160; : <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a>(1u, <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">NHWC</a>)</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>&#160; {}</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>&#160;</div><div class="line"><a name="l01028"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a700f6dc2a7a912cd37ee7dbfcc9220b9"> 1028</a></span>&#160; <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a700f6dc2a7a912cd37ee7dbfcc9220b9">SpaceToDepthDescriptor</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> blockSize, <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout)</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>&#160; : m_BlockSize(blockSize)</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>&#160; , m_DataLayout(dataLayout)</div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>&#160; {}</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>&#160;</div><div class="line"><a name="l01033"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a2b4d1e836dadf7f093ac47a42bb875de"> 1033</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>&#160; <span class="keywordflow">return</span> m_BlockSize == rhs.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> &amp;&amp; m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160; }</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>&#160;<span class="comment"> /// Scalar specifying the input block size. It must be &gt;= 1</span></div><div class="line"><a name="l01039"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486"> 1039</a></span>&#160;<span class="comment"></span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a>;</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l01042"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 1042</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>&#160;};</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>&#160;<span class="comment">/// A DepthToSpaceDescriptor for the DepthToSpaceLayer</span></div><div class="line"><a name="l01046"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a3647f60510bc8ddaced01c51b0ee8714"> 1046</a></span>&#160;<span class="comment"></span><span class="keyword">using</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">DepthToSpaceDescriptor</a> = <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a>;</div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>&#160;<span class="comment">/// An LstmDescriptor for the LstmLayer.</span></div><div class="line"><a name="l01049"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml"> 1049</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>&#160;{</div><div class="line"><a name="l01051"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a6bc0b32c1db8d15971cae0ed4483a1"> 1051</a></span>&#160; <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a6bc0b32c1db8d15971cae0ed4483a1">LstmDescriptor</a>()</div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>&#160; : m_ActivationFunc(1) <span class="comment">// 0: None, 1: Relu, 3: Relu6, 4: Tanh, 6: Sigmoid</span></div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>&#160; , m_ClippingThresCell(0.0)</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>&#160; , m_ClippingThresProj(0.0)</div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>&#160; , m_CifgEnabled(true)</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>&#160; , m_PeepholeEnabled(false)</div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>&#160; , m_ProjectionEnabled(false)</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>&#160; , m_LayerNormEnabled(false)</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>&#160; , m_TimeMajor(false)</div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>&#160; , m_InputIntermediateScale(0.0)</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>&#160; , m_ForgetIntermediateScale(0.0)</div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>&#160; , m_CellIntermediateScale(0.0)</div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>&#160; , m_OutputIntermediateScale(0.0)</div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>&#160; , m_HiddenStateZeroPoint(0)</div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>&#160; , m_HiddenStateScale(0.0)</div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>&#160; {}</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>&#160;</div><div class="line"><a name="l01068"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a3f7f9ecbcc21de1bf2090474c6360014"> 1068</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>&#160; <span class="keywordflow">return</span> m_ActivationFunc == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ae1b07ed928036004bd257169e5aeeef4">m_ActivationFunc</a> &amp;&amp;</div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>&#160; m_ClippingThresCell == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">m_ClippingThresCell</a> &amp;&amp;</div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>&#160; m_ClippingThresProj == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">m_ClippingThresProj</a> &amp;&amp;</div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>&#160; m_CifgEnabled == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a> &amp;&amp;</div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>&#160; m_PeepholeEnabled == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a> &amp;&amp;</div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>&#160; m_LayerNormEnabled == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a> &amp;&amp;</div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>&#160; m_TimeMajor == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a3dcd10ca3ea2e132558b1e2814668c15">m_TimeMajor</a> &amp;&amp;</div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>&#160; m_InputIntermediateScale == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf">m_InputIntermediateScale</a> &amp;&amp;</div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>&#160; m_ForgetIntermediateScale == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189">m_ForgetIntermediateScale</a> &amp;&amp;</div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>&#160; m_CellIntermediateScale == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b">m_CellIntermediateScale</a> &amp;&amp;</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>&#160; m_OutputIntermediateScale == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d">m_OutputIntermediateScale</a> &amp;&amp;</div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>&#160; m_HiddenStateZeroPoint == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d">m_HiddenStateZeroPoint</a> &amp;&amp;</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>&#160; m_HiddenStateScale == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a>;</div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>&#160; }</div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>&#160;<span class="comment"> /// @brief The activation function to use.</span></div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>&#160;<span class="comment"> /// 0: None, 1: Relu, 3: Relu6, 4: Tanh, 6: Sigmoid.</span></div><div class="line"><a name="l01087"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#ae1b07ed928036004bd257169e5aeeef4"> 1087</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ae1b07ed928036004bd257169e5aeeef4">m_ActivationFunc</a>;<span class="comment"></span></div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>&#160;<span class="comment"> /// Clipping threshold value for the cell state.</span></div><div class="line"><a name="l01089"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5"> 1089</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">m_ClippingThresCell</a>;<span class="comment"></span></div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>&#160;<span class="comment"> /// Clipping threshold value for the projection.</span></div><div class="line"><a name="l01091"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af"> 1091</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">m_ClippingThresProj</a>;<span class="comment"></span></div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>&#160;<span class="comment"> /// Enable/disable cifg (coupled input &amp; forget gate).</span></div><div class="line"><a name="l01093"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb"> 1093</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>&#160;<span class="comment"> /// Enable/disable peephole.</span></div><div class="line"><a name="l01095"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8"> 1095</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>&#160;<span class="comment"> /// Enable/disable the projection layer.</span></div><div class="line"><a name="l01097"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17"> 1097</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>&#160;<span class="comment"> /// Enable/disable layer normalization</span></div><div class="line"><a name="l01099"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780"> 1099</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>&#160;<span class="comment"> /// Enable/disable time major</span></div><div class="line"><a name="l01101"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a3dcd10ca3ea2e132558b1e2814668c15"> 1101</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a3dcd10ca3ea2e132558b1e2814668c15">m_TimeMajor</a>;<span class="comment"></span></div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>&#160;<span class="comment"> /// Input intermediate quantization scale</span></div><div class="line"><a name="l01103"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf"> 1103</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf">m_InputIntermediateScale</a>;<span class="comment"></span></div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>&#160;<span class="comment"> /// Forget intermediate quantization scale</span></div><div class="line"><a name="l01105"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189"> 1105</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189">m_ForgetIntermediateScale</a>;<span class="comment"></span></div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>&#160;<span class="comment"> /// Cell intermediate quantization scale</span></div><div class="line"><a name="l01107"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b"> 1107</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b">m_CellIntermediateScale</a>;<span class="comment"></span></div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>&#160;<span class="comment"> /// Output intermediate quantization scale</span></div><div class="line"><a name="l01109"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d"> 1109</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d">m_OutputIntermediateScale</a>;<span class="comment"></span></div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>&#160;<span class="comment"> /// Hidden State zero point</span></div><div class="line"><a name="l01111"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d"> 1111</a></span>&#160;<span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d">m_HiddenStateZeroPoint</a>;<span class="comment"></span></div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>&#160;<span class="comment"> /// Hidden State quantization scale</span></div><div class="line"><a name="l01113"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98"> 1113</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a>;</div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>&#160;};</div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>&#160;</div><div class="line"><a name="l01116"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae6c5f1b51bd32133c4dcc632045d6b58"> 1116</a></span>&#160;<span class="keyword">using</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">UnidirectionalSequenceLstmDescriptor</a> = <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a>;</div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>&#160;<span class="comment">/// A MeanDescriptor for the MeanLayer.</span></div><div class="line"><a name="l01119"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml"> 1119</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>&#160;{</div><div class="line"><a name="l01121"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml#a71ab37b5cafc60ab26a1728354cafe77"> 1121</a></span>&#160; <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a71ab37b5cafc60ab26a1728354cafe77">MeanDescriptor</a>()</div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>&#160; : m_Axis()</div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>&#160; , m_KeepDims(false)</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>&#160; {}</div><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>&#160;</div><div class="line"><a name="l01126"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml#aeb36ba495f90f46580887217835290ba"> 1126</a></span>&#160; <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#aeb36ba495f90f46580887217835290ba">MeanDescriptor</a>(<span class="keyword">const</span> std::vector&lt;unsigned int&gt;&amp; axis, <span class="keywordtype">bool</span> keepDims)</div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>&#160; : m_Axis(axis)</div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>&#160; , m_KeepDims(keepDims)</div><div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>&#160; {}</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>&#160;</div><div class="line"><a name="l01131"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml#a45ddc9ab5e076c7740d54e0fb74f104c"> 1131</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>&#160; <span class="keywordflow">return</span> m_Axis == rhs.<a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a> &amp;&amp; m_KeepDims == rhs.<a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>;</div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>&#160; }</div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>&#160;<span class="comment"> /// Values for the dimensions to reduce.</span></div><div class="line"><a name="l01137"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95"> 1137</a></span>&#160;<span class="comment"></span> std::vector&lt;unsigned int&gt; <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a>;<span class="comment"></span></div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>&#160;<span class="comment"> /// Enable/disable keep dimensions. If true, then the reduced dimensions that are of length 1 are kept.</span></div><div class="line"><a name="l01139"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9"> 1139</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>;</div><div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>&#160;};</div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>&#160;<span class="comment">/// A PadDescriptor for the PadLayer.</span></div><div class="line"><a name="l01143"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml"> 1143</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>&#160;{</div><div class="line"><a name="l01145"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml#abf96ff8314156a991f72d107d4f325ce"> 1145</a></span>&#160; <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#abf96ff8314156a991f72d107d4f325ce">PadDescriptor</a>() : m_PadValue(0), m_PaddingMode(<a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">PaddingMode</a>::<a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">Constant</a>)</div><div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>&#160; {}</div><div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>&#160;</div><div class="line"><a name="l01148"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml#a9943d217090b2611a6b0eb3e17ed133c"> 1148</a></span>&#160; <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a9943d217090b2611a6b0eb3e17ed133c">PadDescriptor</a>(<span class="keyword">const</span> std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt;&amp; padList,</div><div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span>&amp; padValue = 0,</div><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">PaddingMode</a>&amp; paddingMode = <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">PaddingMode::Constant</a>)</div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>&#160; : m_PadList(padList)</div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>&#160; , m_PadValue(padValue)</div><div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>&#160; , m_PaddingMode(paddingMode)</div><div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>&#160; {}</div><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>&#160;</div><div class="line"><a name="l01156"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml#acd6df4cac247b20fb2b6a1077299cb1f"> 1156</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>&#160; <span class="keywordflow">return</span> m_PadList == rhs.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> &amp;&amp; m_PadValue == rhs.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">m_PadValue</a> &amp;&amp; m_PaddingMode == rhs.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a66f2c989f51ab6116de4380390250b69">m_PaddingMode</a>;</div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>&#160; }</div><div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>&#160;<span class="comment"> /// @brief Specifies the padding for input dimension.</span></div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>&#160;<span class="comment"> /// First is the number of values to add before the tensor in the dimension.</span></div><div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>&#160;<span class="comment"> /// Second is the number of values to add after the tensor in the dimension.</span></div><div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>&#160;<span class="comment"> /// The number of pairs should match the number of dimensions in the input tensor.</span></div><div class="line"><a name="l01165"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3"> 1165</a></span>&#160;<span class="comment"></span> std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt; <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>;</div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>&#160;<span class="comment"> /// Optional value to use for padding, defaults to 0</span></div><div class="line"><a name="l01168"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab"> 1168</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">m_PadValue</a>;</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>&#160;<span class="comment"> /// Specifies the Padding mode (Constant, Reflect or Symmetric)</span></div><div class="line"><a name="l01171"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml#a66f2c989f51ab6116de4380390250b69"> 1171</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">PaddingMode</a> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a66f2c989f51ab6116de4380390250b69">m_PaddingMode</a>;</div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>&#160;};</div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>&#160;<span class="comment">/// A SliceDescriptor for the SliceLayer.</span></div><div class="line"><a name="l01175"></a><span class="lineno"><a class="line" href="structarmnn_1_1_slice_descriptor.xhtml"> 1175</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>&#160;{</div><div class="line"><a name="l01177"></a><span class="lineno"><a class="line" href="structarmnn_1_1_slice_descriptor.xhtml#ad4ee7c36b787daa1232528e2f902d8ce"> 1177</a></span>&#160; <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml#ad4ee7c36b787daa1232528e2f902d8ce">SliceDescriptor</a>(<span class="keyword">const</span> std::vector&lt;unsigned int&gt;&amp; begin, <span class="keyword">const</span> std::vector&lt;unsigned int&gt;&amp; size)</div><div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>&#160; : m_Begin(begin)</div><div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>&#160; , m_Size(size)</div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>&#160; {}</div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>&#160;</div><div class="line"><a name="l01182"></a><span class="lineno"><a class="line" href="structarmnn_1_1_slice_descriptor.xhtml#a6d81f59d176cf5b1b7f7b16653cb909c"> 1182</a></span>&#160; <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml#a6d81f59d176cf5b1b7f7b16653cb909c">SliceDescriptor</a>() : <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a>({}, {})</div><div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>&#160; {}</div><div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>&#160;</div><div class="line"><a name="l01185"></a><span class="lineno"><a class="line" href="structarmnn_1_1_slice_descriptor.xhtml#a905d0b4a55652d69f18cef769e6c739f"> 1185</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>&#160; <span class="keywordflow">return</span> m_Begin == rhs.<a class="code" href="structarmnn_1_1_slice_descriptor.xhtml#a4939f00778f08d6c6fec6f74c0a59b7e">m_Begin</a> &amp;&amp; m_Size == rhs.<a class="code" href="structarmnn_1_1_slice_descriptor.xhtml#ab52cabf19232290fa6b49828ba957ac0">m_Size</a>;</div><div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>&#160; }</div><div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>&#160;<span class="comment"> /// Beginning indices of the slice in each dimension.</span></div><div class="line"><a name="l01191"></a><span class="lineno"><a class="line" href="structarmnn_1_1_slice_descriptor.xhtml#a4939f00778f08d6c6fec6f74c0a59b7e"> 1191</a></span>&#160;<span class="comment"></span> std::vector&lt;unsigned int&gt; <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml#a4939f00778f08d6c6fec6f74c0a59b7e">m_Begin</a>;</div><div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>&#160;<span class="comment"> /// Size of the slice in each dimension.</span></div><div class="line"><a name="l01194"></a><span class="lineno"><a class="line" href="structarmnn_1_1_slice_descriptor.xhtml#ab52cabf19232290fa6b49828ba957ac0"> 1194</a></span>&#160;<span class="comment"></span> std::vector&lt;unsigned int&gt; <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml#ab52cabf19232290fa6b49828ba957ac0">m_Size</a>;</div><div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>&#160;};</div><div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>&#160;<span class="comment">/// A StackDescriptor for the StackLayer.</span></div><div class="line"><a name="l01198"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stack_descriptor.xhtml"> 1198</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_stack_descriptor.xhtml">StackDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>&#160;{</div><div class="line"><a name="l01200"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stack_descriptor.xhtml#a7174d76ab2205127ef4c2255c7169c5b"> 1200</a></span>&#160; <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#a7174d76ab2205127ef4c2255c7169c5b">StackDescriptor</a>()</div><div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>&#160; : m_Axis(0)</div><div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>&#160; , m_NumInputs(0)</div><div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>&#160; , m_InputShape()</div><div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>&#160; {}</div><div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>&#160;</div><div class="line"><a name="l01206"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stack_descriptor.xhtml#ac6edc657f681c74f48d0ce16b26d2e49"> 1206</a></span>&#160; <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#ac6edc657f681c74f48d0ce16b26d2e49">StackDescriptor</a>(uint32_t axis, uint32_t numInputs, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inputShape)</div><div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>&#160; : m_Axis(axis)</div><div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>&#160; , m_NumInputs(numInputs)</div><div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>&#160; , m_InputShape(inputShape)</div><div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>&#160; {}</div><div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>&#160;</div><div class="line"><a name="l01212"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stack_descriptor.xhtml#a826e54f294176588e4f53cf4c4d33734"> 1212</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml">StackDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>&#160; <span class="keywordflow">return</span> m_Axis == rhs.<a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> &amp;&amp;</div><div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>&#160; m_NumInputs == rhs.<a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">m_NumInputs</a> &amp;&amp;</div><div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>&#160; m_InputShape == rhs.<a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#a2bea87b470268bb0b73457c3733dbc04">m_InputShape</a>;</div><div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>&#160; }</div><div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>&#160;<span class="comment"> /// 0-based axis along which to stack the input tensors.</span></div><div class="line"><a name="l01220"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stack_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2"> 1220</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a>;<span class="comment"></span></div><div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>&#160;<span class="comment"> /// Number of input tensors.</span></div><div class="line"><a name="l01222"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stack_descriptor.xhtml#aed6086070440ceb94129bef06f70173f"> 1222</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">m_NumInputs</a>;<span class="comment"></span></div><div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>&#160;<span class="comment"> /// Required shape of all input tensors.</span></div><div class="line"><a name="l01224"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stack_descriptor.xhtml#a2bea87b470268bb0b73457c3733dbc04"> 1224</a></span>&#160;<span class="comment"></span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#a2bea87b470268bb0b73457c3733dbc04">m_InputShape</a>;</div><div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>&#160;};</div><div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>&#160;<span class="comment">/// A StandInDescriptor for the StandIn layer</span></div><div class="line"><a name="l01228"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stand_in_descriptor.xhtml"> 1228</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml">StandInDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>&#160;{</div><div class="line"><a name="l01230"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stand_in_descriptor.xhtml#afb634876abc8d09178cf2af0f2ca984d"> 1230</a></span>&#160; <a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#afb634876abc8d09178cf2af0f2ca984d">StandInDescriptor</a>() {};</div><div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>&#160;</div><div class="line"><a name="l01232"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stand_in_descriptor.xhtml#a22073dfd53bf509848f43a2f0d799496"> 1232</a></span>&#160; <a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#a22073dfd53bf509848f43a2f0d799496">StandInDescriptor</a>(uint32_t numInputs, uint32_t numOutputs)</div><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>&#160; : m_NumInputs(numInputs)</div><div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>&#160; , m_NumOutputs(numOutputs)</div><div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>&#160; {}</div><div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>&#160;</div><div class="line"><a name="l01237"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stand_in_descriptor.xhtml#ac2ecc61f3502ac3886226a1b6c02d9b3"> 1237</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml">StandInDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>&#160; <span class="keywordflow">return</span> m_NumInputs == rhs.<a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">m_NumInputs</a> &amp;&amp;</div><div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>&#160; m_NumOutputs == rhs.<a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#abb8a2d2bb8cc594c26aaa70c820ac5cc">m_NumOutputs</a>;</div><div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>&#160; }</div><div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>&#160;<span class="comment"> /// Number of input tensors</span></div><div class="line"><a name="l01244"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stand_in_descriptor.xhtml#aed6086070440ceb94129bef06f70173f"> 1244</a></span>&#160;<span class="comment"></span> uint32_t m_NumInputs = 0;<span class="comment"></span></div><div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>&#160;<span class="comment"> /// Number of output tensors</span></div><div class="line"><a name="l01246"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stand_in_descriptor.xhtml#abb8a2d2bb8cc594c26aaa70c820ac5cc"> 1246</a></span>&#160;<span class="comment"></span> uint32_t m_NumOutputs = 0;</div><div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>&#160;};</div><div class="line"><a name="l01248"></a><span class="lineno"> 1248</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>&#160;<span class="comment">/// A StridedSliceDescriptor for the StridedSliceLayer.</span></div><div class="line"><a name="l01250"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml"> 1250</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>&#160;{</div><div class="line"><a name="l01252"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#afeab6350b2194f924f7e73af2f7c0c5c"> 1252</a></span>&#160; <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#afeab6350b2194f924f7e73af2f7c0c5c">StridedSliceDescriptor</a>(<span class="keyword">const</span> std::vector&lt;int&gt;&amp; begin,</div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>&#160; <span class="keyword">const</span> std::vector&lt;int&gt;&amp; end,</div><div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>&#160; <span class="keyword">const</span> std::vector&lt;int&gt;&amp; stride)</div><div class="line"><a name="l01255"></a><span class="lineno"> 1255</span>&#160; : m_Begin(begin)</div><div class="line"><a name="l01256"></a><span class="lineno"> 1256</span>&#160; , m_End(end)</div><div class="line"><a name="l01257"></a><span class="lineno"> 1257</span>&#160; , m_Stride(stride)</div><div class="line"><a name="l01258"></a><span class="lineno"> 1258</span>&#160; , m_BeginMask(0)</div><div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>&#160; , m_EndMask(0)</div><div class="line"><a name="l01260"></a><span class="lineno"> 1260</span>&#160; , m_ShrinkAxisMask(0)</div><div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>&#160; , m_EllipsisMask(0)</div><div class="line"><a name="l01262"></a><span class="lineno"> 1262</span>&#160; , m_NewAxisMask(0)</div><div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>&#160; , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>&#160; {}</div><div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>&#160;</div><div class="line"><a name="l01266"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a434e9cc9eba8c408a1c784db20d6ad61"> 1266</a></span>&#160; <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a434e9cc9eba8c408a1c784db20d6ad61">StridedSliceDescriptor</a>()</div><div class="line"><a name="l01267"></a><span class="lineno"> 1267</span>&#160; : <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a>({}, {}, {})</div><div class="line"><a name="l01268"></a><span class="lineno"> 1268</span>&#160; {}</div><div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>&#160;</div><div class="line"><a name="l01270"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61b444f8d8445c1144c2126b043ce331"> 1270</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>&#160; <span class="keywordflow">return</span> m_Begin == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a118fe06b7c2599da60398ee311ede923">m_Begin</a> &amp;&amp;</div><div class="line"><a name="l01273"></a><span class="lineno"> 1273</span>&#160; m_End == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#aa68194dd6258ab5b04123005a066ea25">m_End</a> &amp;&amp;</div><div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>&#160; m_Stride == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201">m_Stride</a> &amp;&amp;</div><div class="line"><a name="l01275"></a><span class="lineno"> 1275</span>&#160; m_BeginMask == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61081be1483984e33db452c75d569f51">m_BeginMask</a> &amp;&amp;</div><div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>&#160; m_EndMask == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#ac37e49c0d6e6e54f9d2015d0f11f8ee7">m_EndMask</a> &amp;&amp;</div><div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>&#160; m_ShrinkAxisMask == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f">m_ShrinkAxisMask</a> &amp;&amp;</div><div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>&#160; m_EllipsisMask == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#af996d82c47e43a16f4c8faa6c6b3e030">m_EllipsisMask</a> &amp;&amp;</div><div class="line"><a name="l01279"></a><span class="lineno"> 1279</span>&#160; m_NewAxisMask == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a7c91eda2b331d607bae92cd8ebf50bb9">m_NewAxisMask</a> &amp;&amp;</div><div class="line"><a name="l01280"></a><span class="lineno"> 1280</span>&#160; m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>&#160; }</div><div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>&#160;</div><div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>&#160; <span class="keywordtype">int</span> GetStartForAxis(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inputShape, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis) <span class="keyword">const</span>;</div><div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>&#160; <span class="keywordtype">int</span> GetStopForAxis(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inputShape,</div><div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis,</div><div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>&#160; <span class="keywordtype">int</span> startForAxis) <span class="keyword">const</span>;</div><div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>&#160;<span class="comment"> /// Begin values for the input that will be sliced.</span></div><div class="line"><a name="l01289"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a118fe06b7c2599da60398ee311ede923"> 1289</a></span>&#160;<span class="comment"></span> std::vector&lt;int&gt; <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a118fe06b7c2599da60398ee311ede923">m_Begin</a>;<span class="comment"></span></div><div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>&#160;<span class="comment"> /// End values for the input that will be sliced.</span></div><div class="line"><a name="l01291"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#aa68194dd6258ab5b04123005a066ea25"> 1291</a></span>&#160;<span class="comment"></span> std::vector&lt;int&gt; <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#aa68194dd6258ab5b04123005a066ea25">m_End</a>;<span class="comment"></span></div><div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>&#160;<span class="comment"> /// Stride values for the input that will be sliced.</span></div><div class="line"><a name="l01293"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201"> 1293</a></span>&#160;<span class="comment"></span> std::vector&lt;int&gt; <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201">m_Stride</a>;</div><div class="line"><a name="l01294"></a><span class="lineno"> 1294</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>&#160;<span class="comment"> /// @brief Begin mask value. If set, then the begin is disregarded and the fullest</span></div><div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>&#160;<span class="comment"> /// range is used for the dimension.</span></div><div class="line"><a name="l01297"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61081be1483984e33db452c75d569f51"> 1297</a></span>&#160;<span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61081be1483984e33db452c75d569f51">m_BeginMask</a>;<span class="comment"></span></div><div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>&#160;<span class="comment"> /// @brief End mask value. If set, then the end is disregarded and the fullest range</span></div><div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>&#160;<span class="comment"> /// is used for the dimension.</span></div><div class="line"><a name="l01300"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#ac37e49c0d6e6e54f9d2015d0f11f8ee7"> 1300</a></span>&#160;<span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#ac37e49c0d6e6e54f9d2015d0f11f8ee7">m_EndMask</a>;<span class="comment"></span></div><div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>&#160;<span class="comment"> /// Shrink axis mask value. If set, the nth specification shrinks the dimensionality by 1.</span></div><div class="line"><a name="l01302"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f"> 1302</a></span>&#160;<span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f">m_ShrinkAxisMask</a>;<span class="comment"></span></div><div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>&#160;<span class="comment"> /// Ellipsis mask value.</span></div><div class="line"><a name="l01304"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#af996d82c47e43a16f4c8faa6c6b3e030"> 1304</a></span>&#160;<span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#af996d82c47e43a16f4c8faa6c6b3e030">m_EllipsisMask</a>;<span class="comment"></span></div><div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>&#160;<span class="comment"> /// @brief New axis mask value. If set, the begin, end and stride is disregarded and</span></div><div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>&#160;<span class="comment"> /// a new 1 dimension is inserted to this location of the output tensor.</span></div><div class="line"><a name="l01307"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a7c91eda2b331d607bae92cd8ebf50bb9"> 1307</a></span>&#160;<span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a7c91eda2b331d607bae92cd8ebf50bb9">m_NewAxisMask</a>;</div><div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l01310"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 1310</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>&#160;};</div><div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>&#160;<span class="comment">/// A PreCompiledDescriptor for the PreCompiledLayer.</span></div><div class="line"><a name="l01314"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pre_compiled_descriptor.xhtml"> 1314</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml">PreCompiledDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>&#160;{</div><div class="line"><a name="l01316"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a6be5287e50fca444cd42986e47ab75db"> 1316</a></span>&#160; <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a6be5287e50fca444cd42986e47ab75db">PreCompiledDescriptor</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputSlots = 1u, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputSlots = 1u)</div><div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>&#160; : m_NumInputSlots(numInputSlots), m_NumOutputSlots(numOutputSlots)</div><div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>&#160; {}</div><div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>&#160;</div><div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>&#160; ~<a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml">PreCompiledDescriptor</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>&#160;</div><div class="line"><a name="l01322"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#aebc22128191c14a59356453600833344"> 1322</a></span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#aebc22128191c14a59356453600833344">m_NumInputSlots</a>;</div><div class="line"><a name="l01323"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a19244e2574820c8ab69b1559d8638a61"> 1323</a></span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a19244e2574820c8ab69b1559d8638a61">m_NumOutputSlots</a>;</div><div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>&#160;};</div><div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>&#160;<span class="comment">/// A QLstmDescriptor for the QLstmLayer.</span></div><div class="line"><a name="l01327"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml"> 1327</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml">QLstmDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>&#160;{</div><div class="line"><a name="l01329"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad85386aea7d6e684da1ff46fd099962e"> 1329</a></span>&#160; <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad85386aea7d6e684da1ff46fd099962e">QLstmDescriptor</a>()</div><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>&#160; : m_CellClip(0.0)</div><div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>&#160; , m_ProjectionClip(0.0)</div><div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>&#160; , m_CifgEnabled(true)</div><div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>&#160; , m_PeepholeEnabled(false)</div><div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>&#160; , m_ProjectionEnabled(false)</div><div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>&#160; , m_LayerNormEnabled(false)</div><div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>&#160; , m_InputIntermediateScale(0.0)</div><div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>&#160; , m_ForgetIntermediateScale(0.0)</div><div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>&#160; , m_CellIntermediateScale(0.0)</div><div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>&#160; , m_OutputIntermediateScale(0.0)</div><div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>&#160; , m_HiddenStateZeroPoint(0)</div><div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>&#160; , m_HiddenStateScale(0.0)</div><div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>&#160; {}</div><div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>&#160;</div><div class="line"><a name="l01344"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aec7ab932e134bb3f0955a80014df3e6e"> 1344</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml">QLstmDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>&#160; <span class="keywordflow">return</span> m_CellClip == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ac81fb0e66dc623dc37c77f219f53a6d3">m_CellClip</a> &amp;&amp;</div><div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>&#160; m_ProjectionClip == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa6a518b65088f34803b3214334bdff61">m_ProjectionClip</a> &amp;&amp;</div><div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>&#160; m_CifgEnabled == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a> &amp;&amp;</div><div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>&#160; m_PeepholeEnabled == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a> &amp;&amp;</div><div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>&#160; m_ProjectionEnabled == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a> &amp;&amp;</div><div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>&#160; m_LayerNormEnabled == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a> &amp;&amp;</div><div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>&#160; m_InputIntermediateScale == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf">m_InputIntermediateScale</a> &amp;&amp;</div><div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>&#160; m_ForgetIntermediateScale == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189">m_ForgetIntermediateScale</a> &amp;&amp;</div><div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>&#160; m_CellIntermediateScale == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b">m_CellIntermediateScale</a> &amp;&amp;</div><div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>&#160; m_OutputIntermediateScale == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d">m_OutputIntermediateScale</a> &amp;&amp;</div><div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>&#160; m_HiddenStateZeroPoint == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d">m_HiddenStateZeroPoint</a> &amp;&amp;</div><div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>&#160; m_HiddenStateScale == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a>;</div><div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>&#160; }</div><div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>&#160;<span class="comment"> /// Clipping threshold value for the cell state</span></div><div class="line"><a name="l01361"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ac81fb0e66dc623dc37c77f219f53a6d3"> 1361</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ac81fb0e66dc623dc37c77f219f53a6d3">m_CellClip</a>;<span class="comment"></span></div><div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>&#160;<span class="comment"> /// Clipping threshold value for the projection</span></div><div class="line"><a name="l01363"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa6a518b65088f34803b3214334bdff61"> 1363</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa6a518b65088f34803b3214334bdff61">m_ProjectionClip</a>;<span class="comment"></span></div><div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>&#160;<span class="comment"> /// Enable/disable CIFG (coupled input &amp; forget gate).</span></div><div class="line"><a name="l01365"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb"> 1365</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>&#160;<span class="comment"> /// Enable/disable peephole</span></div><div class="line"><a name="l01367"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8"> 1367</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>&#160;<span class="comment"> /// Enable/disable the projection layer</span></div><div class="line"><a name="l01369"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17"> 1369</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>&#160;<span class="comment"> /// Enable/disable layer normalization</span></div><div class="line"><a name="l01371"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780"> 1371</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>&#160;<span class="comment"> /// Input intermediate quantization scale</span></div><div class="line"><a name="l01373"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf"> 1373</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf">m_InputIntermediateScale</a>;<span class="comment"></span></div><div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>&#160;<span class="comment"> /// Forget intermediate quantization scale</span></div><div class="line"><a name="l01375"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189"> 1375</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189">m_ForgetIntermediateScale</a>;<span class="comment"></span></div><div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>&#160;<span class="comment"> /// Cell intermediate quantization scale</span></div><div class="line"><a name="l01377"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b"> 1377</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b">m_CellIntermediateScale</a>;<span class="comment"></span></div><div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>&#160;<span class="comment"> /// Output intermediate quantization scale</span></div><div class="line"><a name="l01379"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d"> 1379</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d">m_OutputIntermediateScale</a>;<span class="comment"></span></div><div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>&#160;<span class="comment"> /// Hidden State zero point</span></div><div class="line"><a name="l01381"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d"> 1381</a></span>&#160;<span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d">m_HiddenStateZeroPoint</a>;<span class="comment"></span></div><div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>&#160;<span class="comment"> /// Hidden State quantization scale</span></div><div class="line"><a name="l01383"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98"> 1383</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a>;</div><div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>&#160;};</div><div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01386"></a><span class="lineno"> 1386</span>&#160;<span class="comment">/// A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.</span></div><div class="line"><a name="l01387"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml"> 1387</a></span>&#160;<span class="comment"></span><span class="keyword">struct 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class="lineno"> 1393</span>&#160; m_PadBottom(0),</div><div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>&#160; m_StrideX(0),</div><div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>&#160; m_StrideY(0),</div><div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>&#160; m_BiasEnabled(false),</div><div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>&#160; m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>),</div><div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>&#160; m_OutputShapeEnabled(false)</div><div class="line"><a name="l01399"></a><span class="lineno"> 1399</span>&#160; {}</div><div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>&#160;</div><div class="line"><a name="l01401"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aeda9d4e5d384ce5919425df001f49751"> 1401</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>&#160; <span class="keywordflow">return</span> m_PadLeft == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> &amp;&amp;</div><div class="line"><a name="l01404"></a><span class="lineno"> 1404</span>&#160; m_PadRight == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> &amp;&amp;</div><div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>&#160; m_PadTop == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> &amp;&amp;</div><div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>&#160; m_PadBottom == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> &amp;&amp;</div><div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>&#160; m_StrideX == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> &amp;&amp;</div><div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>&#160; m_StrideY == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> &amp;&amp;</div><div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>&#160; m_BiasEnabled == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> &amp;&amp;</div><div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>&#160; m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> &amp;&amp;</div><div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>&#160; m_OutputShapeEnabled == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a9bc46a2ad56319786bad30be9ab2dc6a">m_OutputShapeEnabled</a> &amp;&amp;</div><div class="line"><a name="l01412"></a><span class="lineno"> 1412</span>&#160; m_OutputShape == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a78f5b213a603b55d0fabea389e89f203">m_OutputShape</a>;</div><div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>&#160; }</div><div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>&#160;<span class="comment"> /// Padding left value in the width dimension.</span></div><div class="line"><a name="l01416"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600"> 1416</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>;<span class="comment"></span></div><div class="line"><a name="l01417"></a><span class="lineno"> 1417</span>&#160;<span class="comment"> /// Padding right value in the width dimension.</span></div><div class="line"><a name="l01418"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7"> 1418</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;<span class="comment"></span></div><div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>&#160;<span class="comment"> /// Padding top value in the height dimension.</span></div><div class="line"><a name="l01420"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046"> 1420</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>;<span class="comment"></span></div><div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>&#160;<span class="comment"> /// Padding bottom value in the height dimension.</span></div><div class="line"><a name="l01422"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618"> 1422</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;<span class="comment"></span></div><div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the width dimension.</span></div><div class="line"><a name="l01424"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda"> 1424</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>;<span class="comment"></span></div><div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the height dimension.</span></div><div class="line"><a name="l01426"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8"> 1426</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>;<span class="comment"></span></div><div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>&#160;<span class="comment"> /// Enable/disable bias.</span></div><div class="line"><a name="l01428"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25"> 1428</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l01430"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 1430</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;<span class="comment"></span></div><div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>&#160;<span class="comment"> /// Output shape if it has been specified.</span></div><div class="line"><a name="l01432"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a9bc46a2ad56319786bad30be9ab2dc6a"> 1432</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a9bc46a2ad56319786bad30be9ab2dc6a">m_OutputShapeEnabled</a>;</div><div class="line"><a name="l01433"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a78f5b213a603b55d0fabea389e89f203"> 1433</a></span>&#160; std::vector&lt;unsigned int&gt; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a78f5b213a603b55d0fabea389e89f203">m_OutputShape</a>;</div><div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>&#160;};</div><div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>&#160;<span class="comment">/// A TransposeDescriptor for the TransposeLayer.</span></div><div class="line"><a name="l01437"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_descriptor.xhtml"> 1437</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml">TransposeDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>&#160;{</div><div class="line"><a name="l01439"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_descriptor.xhtml#af4d882230882f20ef1500510e5ff4c87"> 1439</a></span>&#160; <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml#af4d882230882f20ef1500510e5ff4c87">TransposeDescriptor</a>()</div><div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>&#160; : m_DimMappings{}</div><div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>&#160; {}</div><div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>&#160;</div><div class="line"><a name="l01443"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_descriptor.xhtml#ae7fbf819ce2bbdbdc55d546dd40a1213"> 1443</a></span>&#160; <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml#ae7fbf819ce2bbdbdc55d546dd40a1213">TransposeDescriptor</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">PermutationVector</a>&amp; dimMappings)</div><div class="line"><a name="l01444"></a><span class="lineno"> 1444</span>&#160; : m_DimMappings(dimMappings)</div><div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>&#160; {}</div><div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>&#160;</div><div class="line"><a name="l01447"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_descriptor.xhtml#a08d0e3a8b7b074f7c101366f0d431c47"> 1447</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml">TransposeDescriptor</a> &amp;rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01448"></a><span class="lineno"> 1448</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l01449"></a><span class="lineno"> 1449</span>&#160; <span class="keywordflow">return</span> m_DimMappings.IsEqual(rhs.<a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>);</div><div class="line"><a name="l01450"></a><span class="lineno"> 1450</span>&#160; }</div><div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01452"></a><span class="lineno"> 1452</span>&#160;<span class="comment"> /// @brief Indicates how to translate tensor elements from a given source into the target destination, when</span></div><div class="line"><a name="l01453"></a><span class="lineno"> 1453</span>&#160;<span class="comment"> /// source and target potentially have different memory layouts e.g.</span></div><div class="line"><a name="l01454"></a><span class="lineno"> 1454</span>&#160;<span class="comment"> /// Input Shape {1, 1, 4, 4}</span></div><div class="line"><a name="l01455"></a><span class="lineno"> 1455</span>&#160;<span class="comment"> /// Permutation Vector {0, 2, 3, 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href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f"> 1461</a></span>&#160;<span class="comment"></span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">PermutationVector</a> <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>;</div><div class="line"><a name="l01462"></a><span class="lineno"> 1462</span>&#160;};</div><div class="line"><a name="l01463"></a><span class="lineno"> 1463</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01464"></a><span class="lineno"> 1464</span>&#160;<span class="comment">/// A LogicalBinaryDescriptor for the LogicalBinaryLayer</span></div><div class="line"><a name="l01465"></a><span class="lineno"><a class="line" href="structarmnn_1_1_logical_binary_descriptor.xhtml"> 1465</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" 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href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">LogicalAnd</a>)</div><div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>&#160; {}</div><div class="line"><a name="l01470"></a><span class="lineno"> 1470</span>&#160;</div><div class="line"><a name="l01471"></a><span class="lineno"><a class="line" href="structarmnn_1_1_logical_binary_descriptor.xhtml#a31b09a0610040e8609c945c5adfaaee2"> 1471</a></span>&#160; <a class="code" href="structarmnn_1_1_logical_binary_descriptor.xhtml#a31b09a0610040e8609c945c5adfaaee2">LogicalBinaryDescriptor</a>(<a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379e">LogicalBinaryOperation</a> operation)</div><div class="line"><a name="l01472"></a><span class="lineno"> 1472</span>&#160; : m_Operation(operation)</div><div class="line"><a name="l01473"></a><span class="lineno"> 1473</span>&#160; {}</div><div class="line"><a name="l01474"></a><span class="lineno"> 1474</span>&#160;</div><div class="line"><a name="l01475"></a><span class="lineno"><a class="line" href="structarmnn_1_1_logical_binary_descriptor.xhtml#a3df6ab97c762dabddea5ca5d930e10fd"> 1475</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_logical_binary_descriptor.xhtml">LogicalBinaryDescriptor</a> &amp;rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01476"></a><span class="lineno"> 1476</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l01477"></a><span class="lineno"> 1477</span>&#160; <span class="keywordflow">return</span> m_Operation == rhs.<a class="code" href="structarmnn_1_1_logical_binary_descriptor.xhtml#a32c95d929d2e2e0fa7fc1a3a25865eb0">m_Operation</a>;</div><div class="line"><a name="l01478"></a><span class="lineno"> 1478</span>&#160; }</div><div class="line"><a name="l01479"></a><span class="lineno"> 1479</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01480"></a><span class="lineno"> 1480</span>&#160;<span class="comment"> /// Specifies the logical operation to execute</span></div><div class="line"><a name="l01481"></a><span class="lineno"><a class="line" href="structarmnn_1_1_logical_binary_descriptor.xhtml#a32c95d929d2e2e0fa7fc1a3a25865eb0"> 1481</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379e">LogicalBinaryOperation</a> <a class="code" href="structarmnn_1_1_logical_binary_descriptor.xhtml#a32c95d929d2e2e0fa7fc1a3a25865eb0">m_Operation</a>;</div><div class="line"><a name="l01482"></a><span class="lineno"> 1482</span>&#160;};</div><div class="line"><a name="l01483"></a><span class="lineno"> 1483</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01484"></a><span class="lineno"> 1484</span>&#160;<span class="comment">/// A ReduceDescriptor for the REDUCE operators.</span></div><div class="line"><a name="l01485"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reduce_descriptor.xhtml"> 1485</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml">ReduceDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l01486"></a><span class="lineno"> 1486</span>&#160;{</div><div class="line"><a name="l01487"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reduce_descriptor.xhtml#a0b39804ec2fae491cb0b4fcaba681e4c"> 1487</a></span>&#160; <a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml#a0b39804ec2fae491cb0b4fcaba681e4c">ReduceDescriptor</a>()</div><div class="line"><a name="l01488"></a><span class="lineno"> 1488</span>&#160; : m_KeepDims(false)</div><div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>&#160; , m_vAxis()</div><div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>&#160; , m_ReduceOperation(<a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0">ReduceOperation</a>::<a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0aa0ec87054b5e5b7847d0d8780a01a3d5">Sum</a>)</div><div class="line"><a name="l01491"></a><span class="lineno"> 1491</span>&#160; {}</div><div class="line"><a name="l01492"></a><span class="lineno"> 1492</span>&#160;</div><div class="line"><a name="l01493"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reduce_descriptor.xhtml#a6589f55be8e5469d44f67b1887fbc2ad"> 1493</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml">ReduceDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01494"></a><span class="lineno"> 1494</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l01495"></a><span class="lineno"> 1495</span>&#160; <span class="keywordflow">return</span> m_KeepDims == rhs.<a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a> &amp;&amp;</div><div class="line"><a name="l01496"></a><span class="lineno"> 1496</span>&#160; m_vAxis == rhs.<a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a> &amp;&amp;</div><div class="line"><a name="l01497"></a><span class="lineno"> 1497</span>&#160; m_ReduceOperation == rhs.<a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml#aa57c67b1da0011b1abb30170146e870f">m_ReduceOperation</a>;</div><div class="line"><a name="l01498"></a><span class="lineno"> 1498</span>&#160; }</div><div class="line"><a name="l01499"></a><span class="lineno"> 1499</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>&#160;<span class="comment"> /// if true then output shape has no change.</span></div><div class="line"><a name="l01501"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reduce_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9"> 1501</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>;<span class="comment"></span></div><div class="line"><a name="l01502"></a><span class="lineno"> 1502</span>&#160;<span class="comment"> /// The indices of the dimensions to reduce.</span></div><div class="line"><a name="l01503"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reduce_descriptor.xhtml#aa1c6fc8c96404252f1072632fc5acb59"> 1503</a></span>&#160;<span class="comment"></span> std::vector&lt;uint32_t&gt; <a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>;<span class="comment"></span></div><div class="line"><a name="l01504"></a><span class="lineno"> 1504</span>&#160;<span class="comment"> /// Specifies the reduction operation to execute</span></div><div class="line"><a name="l01505"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reduce_descriptor.xhtml#aa57c67b1da0011b1abb30170146e870f"> 1505</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0">ReduceOperation</a> <a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml#aa57c67b1da0011b1abb30170146e870f">m_ReduceOperation</a>;</div><div class="line"><a name="l01506"></a><span class="lineno"> 1506</span>&#160;};</div><div class="line"><a name="l01507"></a><span class="lineno"> 1507</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01508"></a><span class="lineno"> 1508</span>&#160;<span class="comment">/// A ChannelShuffleDescriptor for the ChannelShuffle operator</span></div><div class="line"><a name="l01509"></a><span class="lineno"><a class="line" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml"> 1509</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">ChannelShuffleDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l01510"></a><span class="lineno"> 1510</span>&#160;{</div><div class="line"><a name="l01511"></a><span class="lineno"><a class="line" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a9a9b91f345b141a62e984fe1a1ab0f8b"> 1511</a></span>&#160; <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a9a9b91f345b141a62e984fe1a1ab0f8b">ChannelShuffleDescriptor</a>()</div><div class="line"><a name="l01512"></a><span class="lineno"> 1512</span>&#160; : m_NumGroups(0), m_Axis(0)</div><div class="line"><a name="l01513"></a><span class="lineno"> 1513</span>&#160; {}</div><div class="line"><a name="l01514"></a><span class="lineno"> 1514</span>&#160;</div><div class="line"><a name="l01515"></a><span class="lineno"><a class="line" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a3613459765b8bc457405eb2708a4795f"> 1515</a></span>&#160; <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a3613459765b8bc457405eb2708a4795f">ChannelShuffleDescriptor</a>(<span class="keyword">const</span> uint32_t&amp; numGroups, <span class="keyword">const</span> uint32_t&amp; axis)</div><div class="line"><a name="l01516"></a><span class="lineno"> 1516</span>&#160; : m_NumGroups(numGroups), m_Axis(axis)</div><div class="line"><a name="l01517"></a><span class="lineno"> 1517</span>&#160; {}</div><div class="line"><a name="l01518"></a><span class="lineno"> 1518</span>&#160;</div><div class="line"><a name="l01519"></a><span class="lineno"><a class="line" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a45332cf8abcf3109214ebe53869b87b6"> 1519</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">ChannelShuffleDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l01521"></a><span class="lineno"> 1521</span>&#160; <span class="keywordflow">return</span> m_NumGroups == rhs.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf">m_NumGroups</a>;</div><div class="line"><a name="l01522"></a><span class="lineno"> 1522</span>&#160; }</div><div class="line"><a name="l01523"></a><span class="lineno"> 1523</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01524"></a><span class="lineno"> 1524</span>&#160;<span class="comment"> /// Number of groups for the channel shuffle operation</span></div><div class="line"><a name="l01525"></a><span class="lineno"><a class="line" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf"> 1525</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf">m_NumGroups</a>;<span class="comment"></span></div><div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>&#160;<span class="comment"> /// Axis to apply channel shuffle operation on</span></div><div class="line"><a name="l01527"></a><span class="lineno"><a class="line" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2"> 1527</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a>;</div><div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>&#160;};</div><div class="line"><a name="l01529"></a><span class="lineno"> 1529</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01530"></a><span class="lineno"> 1530</span>&#160;<span class="comment">/// A BatchMatMulDescriptor for the BatchMatMul operator</span></div><div class="line"><a name="l01531"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml"> 1531</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div><div class="line"><a name="l01532"></a><span class="lineno"> 1532</span>&#160;{</div><div class="line"><a name="l01533"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#afeaf71922a51fe85cd5a159381dd8b13"> 1533</a></span>&#160; <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#afeaf71922a51fe85cd5a159381dd8b13">BatchMatMulDescriptor</a>(<span class="keywordtype">bool</span> transposeX = <span class="keyword">false</span>,</div><div class="line"><a name="l01534"></a><span class="lineno"> 1534</span>&#160; <span class="keywordtype">bool</span> transposeY = <span class="keyword">false</span>,</div><div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>&#160; <span class="keywordtype">bool</span> adjointX = <span class="keyword">false</span>,</div><div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>&#160; <span class="keywordtype">bool</span> adjointY = <span class="keyword">false</span>,</div><div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayoutX = <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>,</div><div class="line"><a name="l01538"></a><span class="lineno"> 1538</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayoutY = <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l01539"></a><span class="lineno"> 1539</span>&#160; : m_TransposeX(transposeX)</div><div class="line"><a name="l01540"></a><span class="lineno"> 1540</span>&#160; , m_TransposeY(transposeY)</div><div class="line"><a name="l01541"></a><span class="lineno"> 1541</span>&#160; , m_AdjointX(adjointX)</div><div class="line"><a name="l01542"></a><span class="lineno"> 1542</span>&#160; , m_AdjointY(adjointY)</div><div class="line"><a name="l01543"></a><span class="lineno"> 1543</span>&#160; , m_DataLayoutX(dataLayoutX)</div><div class="line"><a name="l01544"></a><span class="lineno"> 1544</span>&#160; , m_DataLayoutY(dataLayoutY)</div><div class="line"><a name="l01545"></a><span class="lineno"> 1545</span>&#160; {}</div><div class="line"><a name="l01546"></a><span class="lineno"> 1546</span>&#160;</div><div class="line"><a name="l01547"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a5c02af4929fee7377b0c8e0410044582"> 1547</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a> &amp;rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01548"></a><span class="lineno"> 1548</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l01549"></a><span class="lineno"> 1549</span>&#160; <span class="keywordflow">return</span> m_TransposeX == rhs.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#acb441bb8db19bcce78d15cdd8ceb5ea0">m_TransposeX</a> &amp;&amp;</div><div class="line"><a name="l01550"></a><span class="lineno"> 1550</span>&#160; m_TransposeY == rhs.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a112b466e5d2ab9d1887178adbe3afa1c">m_TransposeY</a> &amp;&amp;</div><div class="line"><a name="l01551"></a><span class="lineno"> 1551</span>&#160; m_AdjointX == rhs.<a 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class="comment"></span></div><div class="line"><a name="l01557"></a><span class="lineno"> 1557</span>&#160;<span class="comment"> /// Transpose the slices of each input tensor</span></div><div class="line"><a name="l01558"></a><span class="lineno"> 1558</span>&#160;<span class="comment"> /// Transpose and Adjoint can not both be set to true for the same tensor at the same time</span></div><div class="line"><a name="l01559"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#acb441bb8db19bcce78d15cdd8ceb5ea0"> 1559</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#acb441bb8db19bcce78d15cdd8ceb5ea0">m_TransposeX</a>;</div><div class="line"><a name="l01560"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a112b466e5d2ab9d1887178adbe3afa1c"> 1560</a></span>&#160; <span class="keywordtype">bool</span> <a 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name="l01565"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ad945fc98770356dd886a68e98a52e26b"> 1565</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ad945fc98770356dd886a68e98a52e26b">m_AdjointY</a>;</div><div class="line"><a name="l01566"></a><span class="lineno"> 1566</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>&#160;<span class="comment"> /// Data layout of each input tensor, such as NHWC/NDHWC (leave as default for arbitrary layout)</span></div><div class="line"><a name="l01568"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aedca000a005e091c23191e82d7e81b1d"> 1568</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aedca000a005e091c23191e82d7e81b1d">m_DataLayoutX</a>;</div><div class="line"><a name="l01569"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aaf7828880989b4b9378d3e86aa6dc843"> 1569</a></span>&#160; <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aaf7828880989b4b9378d3e86aa6dc843">m_DataLayoutY</a>;</div><div class="line"><a name="l01570"></a><span class="lineno"> 1570</span>&#160;</div><div class="line"><a name="l01571"></a><span class="lineno"> 1571</span>&#160; <a class="code" href="_deprecated_8hpp.xhtml#af16119336bd0dfbfbc83fc283151067e">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a>(<span class="stringliteral">&quot;This method is deprecated. Use ABI Stable &quot;</span></div><div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>&#160; <span class="stringliteral">&quot;GetAxesToMul(DataLayout dataLayout, const TensorShape&amp; tensorShape) instead.&quot;</span>,</div><div class="line"><a name="l01573"></a><span class="lineno"> 1573</span>&#160; <span class="stringliteral">&quot;23.05&quot;</span>)</div><div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>&#160; static <a class="code" href="namespacestd.xhtml">std</a>::pair&lt;<a class="code" href="namespacestd.xhtml">std</a>::pair&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;, <a class="code" href="namespacestd.xhtml">std</a>::pair&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;&gt; GetAxesToMul(</div><div class="line"><a name="l01575"></a><span class="lineno"> 1575</span>&#160; const <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a>&amp; desc,</div><div class="line"><a name="l01576"></a><span class="lineno"> 1576</span>&#160; const <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; tensorXShape,</div><div class="line"><a name="l01577"></a><span class="lineno"> 1577</span>&#160; const <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; tensorYShape);</div><div class="line"><a name="l01578"></a><span class="lineno"> 1578</span>&#160;</div><div class="line"><a name="l01579"></a><span class="lineno"> 1579</span>&#160; <a class="code" href="_deprecated_8hpp.xhtml#af16119336bd0dfbfbc83fc283151067e">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a>(&quot;This method is deprecated. Use ABI Stable &quot;</div><div class="line"><a name="l01580"></a><span class="lineno"> 1580</span>&#160; &quot;GetAxesNotMul(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout, const <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; tensorShape) instead.&quot;,</div><div class="line"><a name="l01581"></a><span class="lineno"> 1581</span>&#160; &quot;23.05&quot;)</div><div class="line"><a name="l01582"></a><span class="lineno"> 1582</span>&#160; static <a class="code" href="namespacestd.xhtml">std</a>::pair&lt;<a class="code" href="namespacestd.xhtml">std</a>::vector&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;, <a class="code" href="namespacestd.xhtml">std</a>::vector&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;&gt; GetAxesNotMul(</div><div class="line"><a name="l01583"></a><span class="lineno"> 1583</span>&#160; const <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a>&amp; desc,</div><div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>&#160; const <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inputXShape,</div><div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>&#160; const <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inputYShape);</div><div class="line"><a name="l01586"></a><span class="lineno"> 1586</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01587"></a><span class="lineno"> 1587</span>&#160;<span class="comment"> /// Static helper to get the two axes (for each input) for multiplication</span></div><div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>&#160;<span class="comment"></span> static <a class="code" href="namespacestd.xhtml">std</a>::pair&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt; GetAxesToMul(</div><div class="line"><a name="l01589"></a><span class="lineno"> 1589</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout,</div><div class="line"><a name="l01590"></a><span class="lineno"> 1590</span>&#160; const <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; tensorShape);</div><div class="line"><a name="l01591"></a><span class="lineno"> 1591</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01592"></a><span class="lineno"> 1592</span>&#160;<span class="comment"> /// Static helper to get the axes (for each input) that will not be multiplied together</span></div><div class="line"><a name="l01593"></a><span class="lineno"> 1593</span>&#160;<span class="comment"></span> static <a class="code" href="namespacestd.xhtml">std</a>::vector&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt; GetAxesNotMul(</div><div class="line"><a name="l01594"></a><span class="lineno"> 1594</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout,</div><div class="line"><a name="l01595"></a><span class="lineno"> 1595</span>&#160; const <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; tensorShape);</div><div class="line"><a name="l01596"></a><span class="lineno"> 1596</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01597"></a><span class="lineno"> 1597</span>&#160;<span class="comment"> /// Static helper to get the axes which will be transposed</span></div><div class="line"><a name="l01598"></a><span class="lineno"> 1598</span>&#160;<span class="comment"></span> static <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">PermutationVector</a> GetPermuteVec(</div><div class="line"><a name="l01599"></a><span class="lineno"> 1599</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout,</div><div class="line"><a name="l01600"></a><span class="lineno"> 1600</span>&#160; const <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; tensorShape);</div><div class="line"><a name="l01601"></a><span class="lineno"> 1601</span>&#160;};</div><div class="line"><a name="l01602"></a><span class="lineno"> 1602</span>&#160;</div><div class="line"><a name="l01603"></a><span class="lineno"> 1603</span>&#160;} <span class="comment">// namespace armnn</span></div><div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_xhtml_a6b7d869ff464fce01745b97f89cc1a02"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a6b7d869ff464fce01745b97f89cc1a02">armnn::ElementwiseUnaryDescriptor::ElementwiseUnaryDescriptor</a></div><div class="ttdeci">ElementwiseUnaryDescriptor(UnaryOperation operation)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00115">Descriptors.hpp:115</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::Convolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00540">Descriptors.hpp:540</a></div></div>
-<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml_a89323bcff3f2fad728ddb0ba2673049f"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml#a89323bcff3f2fad728ddb0ba2673049f">armnn::PermuteDescriptor::PermuteDescriptor</a></div><div class="ttdeci">PermuteDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00131">Descriptors.hpp:131</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::Convolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00550">Descriptors.hpp:550</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_a0031997bf43bd2747656c31e4977793a"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">armnn::Pooling3dDescriptor::m_PoolType</a></div><div class="ttdeci">PoolingAlgorithm m_PoolType</div><div class="ttdoc">The pooling algorithm to use (Max. Average, L2). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00441">Descriptors.hpp:441</a></div></div>
-<div class="ttc" id="structarmnn_1_1_l2_normalization_descriptor_xhtml_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">armnn::L2NormalizationDescriptor::m_Eps</a></div><div class="ttdeci">float m_Eps</div><div class="ttdoc">Used to avoid dividing by zero. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00790">Descriptors.hpp:790</a></div></div>
-<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml_aeb36ba495f90f46580887217835290ba"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#aeb36ba495f90f46580887217835290ba">armnn::MeanDescriptor::MeanDescriptor</a></div><div class="ttdeci">MeanDescriptor(const std::vector&lt; unsigned int &gt; &amp;axis, bool keepDims)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01126">Descriptors.hpp:1126</a></div></div>
-<div class="ttc" id="structarmnn_1_1_comparison_descriptor_xhtml_abe82a976e89ae4dd12f3991c167ffed3"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml#abe82a976e89ae4dd12f3991c167ffed3">armnn::ComparisonDescriptor::ComparisonDescriptor</a></div><div class="ttdeci">ComparisonDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00091">Descriptors.hpp:91</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_ad945fc98770356dd886a68e98a52e26b"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ad945fc98770356dd886a68e98a52e26b">armnn::BatchMatMulDescriptor::m_AdjointY</a></div><div class="ttdeci">bool m_AdjointY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01565">Descriptors.hpp:1565</a></div></div>
-<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">armnn::LstmDescriptor::m_ProjectionEnabled</a></div><div class="ttdeci">bool m_ProjectionEnabled</div><div class="ttdoc">Enable/disable the projection layer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01097">Descriptors.hpp:1097</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::Convolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00552">Descriptors.hpp:552</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pre_compiled_descriptor_xhtml_a6be5287e50fca444cd42986e47ab75db"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a6be5287e50fca444cd42986e47ab75db">armnn::PreCompiledDescriptor::PreCompiledDescriptor</a></div><div class="ttdeci">PreCompiledDescriptor(unsigned int numInputSlots=1u, unsigned int numOutputSlots=1u)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01316">Descriptors.hpp:1316</a></div></div>
-<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml_a71ab37b5cafc60ab26a1728354cafe77"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#a71ab37b5cafc60ab26a1728354cafe77">armnn::MeanDescriptor::MeanDescriptor</a></div><div class="ttdeci">MeanDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01121">Descriptors.hpp:1121</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_aaf7828880989b4b9378d3e86aa6dc843"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aaf7828880989b4b9378d3e86aa6dc843">armnn::BatchMatMulDescriptor::m_DataLayoutY</a></div><div class="ttdeci">DataLayout m_DataLayoutY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01569">Descriptors.hpp:1569</a></div></div>
-<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_ad2246752a0ac080cfa2e815c6528acf9"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ad2246752a0ac080cfa2e815c6528acf9">armnn::TransposeConvolution2dDescriptor::TransposeConvolution2dDescriptor</a></div><div class="ttdeci">TransposeConvolution2dDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01389">Descriptors.hpp:1389</a></div></div>
-<div class="ttc" id="structarmnn_1_1_slice_descriptor_xhtml_ad4ee7c36b787daa1232528e2f902d8ce"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml#ad4ee7c36b787daa1232528e2f902d8ce">armnn::SliceDescriptor::SliceDescriptor</a></div><div class="ttdeci">SliceDescriptor(const std::vector&lt; unsigned int &gt; &amp;begin, const std::vector&lt; unsigned int &gt; &amp;size)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01177">Descriptors.hpp:1177</a></div></div>
-<div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_xhtml_afe768be66897eb3d73284424e3239b23"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">armnn::ElementwiseUnaryDescriptor::m_Operation</a></div><div class="ttdeci">UnaryOperation m_Operation</div><div class="ttdoc">Specifies the elementwiseUnary operation to execute. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00125">Descriptors.hpp:125</a></div></div>
-<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">armnn::StackDescriptor::m_Axis</a></div><div class="ttdeci">uint32_t m_Axis</div><div class="ttdoc">0-based axis along which to stack the input tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01220">Descriptors.hpp:1220</a></div></div>
-<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00224">Descriptors.hpp:224</a></div></div>
-<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_ab509802c659de19929f18bad14a35c58"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58">armnn::DetectionPostProcessDescriptor::m_ScaleW</a></div><div class="ttdeci">float m_ScaleW</div><div class="ttdoc">Center size encoding scale weight. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00731">Descriptors.hpp:731</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a223ddc6ec23fbfa317b41ac45199b296"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a223ddc6ec23fbfa317b41ac45199b296">armnn::Pooling2dDescriptor::Pooling2dDescriptor</a></div><div class="ttdeci">Pooling2dDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00341">Descriptors.hpp:341</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::Pooling2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00381">Descriptors.hpp:381</a></div></div>
-<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::DepthwiseConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00676">Descriptors.hpp:676</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00062">Types.hpp:62</a></div></div>
-<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a8526ea7cf860d8e7f8340e9f9354f9f0"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a8526ea7cf860d8e7f8340e9f9354f9f0">armnn::NormalizationDescriptor::m_K</a></div><div class="ttdeci">float m_K</div><div class="ttdoc">Kappa value used for the across channel normalization equation. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00771">Descriptors.hpp:771</a></div></div>
-<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml_a214c3636fdf0ea5bac8edb42d0e6c7f0"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">armnn::SoftmaxDescriptor::m_Axis</a></div><div class="ttdeci">int m_Axis</div><div class="ttdoc">Scalar, defaulted to the last index (-1), specifying the dimension the activation will be performed o...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00172">Descriptors.hpp:172</a></div></div>
-<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">armnn::TransposeConvolution2dDescriptor</a></div><div class="ttdoc">A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01387">Descriptors.hpp:1387</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Pooling3dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00463">Descriptors.hpp:463</a></div></div>
-<div class="ttc" id="_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_a6d8fb685cc1ff224f25aa127fcf62c86"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">armnn::Pooling3dDescriptor::m_PoolWidth</a></div><div class="ttdeci">uint32_t m_PoolWidth</div><div class="ttdoc">Pooling width value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00455">Descriptors.hpp:455</a></div></div>
-<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::DepthwiseConvolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00666">Descriptors.hpp:666</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Pooling2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00375">Descriptors.hpp:375</a></div></div>
-<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a86e88bef0df4df96df752b4b8955a3af"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">armnn::LstmDescriptor::m_ClippingThresProj</a></div><div class="ttdeci">float m_ClippingThresProj</div><div class="ttdoc">Clipping threshold value for the projection. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01091">Descriptors.hpp:1091</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_acc978b36fd5d949bc781d7638e6e08b9"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#acc978b36fd5d949bc781d7638e6e08b9">armnn::Pooling3dDescriptor::m_PoolDepth</a></div><div class="ttdeci">uint32_t m_PoolDepth</div><div class="ttdoc">Pooling depth value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00459">Descriptors.hpp:459</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5">armnn::ComparisonOperation::Equal</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a14d7f180bf51e86850305965c3707e07"><div class="ttname"><a href="namespacearmnn.xhtml#a14d7f180bf51e86850305965c3707e07">armnn::swap</a></div><div class="ttdeci">void swap(OriginsDescriptor &amp;first, OriginsDescriptor &amp;second)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00350">Descriptors.cpp:350</a></div></div>
-<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a6d0384878432cfc9652b7ae8bc59506f"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f">armnn::StridedSliceDescriptor::m_ShrinkAxisMask</a></div><div class="ttdeci">int32_t m_ShrinkAxisMask</div><div class="ttdoc">Shrink axis mask value. If set, the nth specification shrinks the dimensionality by 1...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01302">Descriptors.hpp:1302</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::OutputShapeRounding::Floor</a></div></div>
-<div class="ttc" id="structarmnn_1_1_reshape_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml">armnn::ReshapeDescriptor</a></div><div class="ttdoc">A ReshapeDescriptor for the ReshapeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00970">Descriptors.hpp:970</a></div></div>
-<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a8adc7995fc87683fb9a99b3a161904c6"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a8adc7995fc87683fb9a99b3a161904c6">armnn::NormalizationDescriptor::NormalizationDescriptor</a></div><div class="ttdeci">NormalizationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00739">Descriptors.hpp:739</a></div></div>
-<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a118fe06b7c2599da60398ee311ede923"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a118fe06b7c2599da60398ee311ede923">armnn::StridedSliceDescriptor::m_Begin</a></div><div class="ttdeci">std::vector&lt; int &gt; m_Begin</div><div class="ttdoc">Begin values for the input that will be sliced. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01289">Descriptors.hpp:1289</a></div></div>
-<div class="ttc" id="structarmnn_1_1_null_descriptor_xhtml_ad7c0bdb2b6e538d8f75596d8cdb633c6"><div class="ttname"><a href="structarmnn_1_1_null_descriptor.xhtml#ad7c0bdb2b6e538d8f75596d8cdb633c6">armnn::NullDescriptor::IsNull</a></div><div class="ttdeci">bool IsNull() const override</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00032">Descriptors.hpp:32</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml_a11d5c25face9b54e90f79ee8bdc1d0fb"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">armnn::Convolution3dDescriptor::m_PadBack</a></div><div class="ttdeci">uint32_t m_PadBack</div><div class="ttdoc">Padding back value in the depth dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00607">Descriptors.hpp:607</a></div></div>
-<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a434e9cc9eba8c408a1c784db20d6ad61"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a434e9cc9eba8c408a1c784db20d6ad61">armnn::StridedSliceDescriptor::StridedSliceDescriptor</a></div><div class="ttdeci">StridedSliceDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01266">Descriptors.hpp:1266</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a410fa919f78af0f0f100bd1594eca4ab"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">armnn::PadDescriptor::m_PadValue</a></div><div class="ttdeci">float m_PadValue</div><div class="ttdoc">Optional value to use for padding, defaults to 0. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01168">Descriptors.hpp:1168</a></div></div>
-<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::DepthwiseConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00678">Descriptors.hpp:678</a></div></div>
-<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::StridedSliceDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01310">Descriptors.hpp:1310</a></div></div>
-<div class="ttc" id="structarmnn_1_1_comparison_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml">armnn::ComparisonDescriptor</a></div><div class="ttdoc">A ComparisonDescriptor for the ComparisonLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00089">Descriptors.hpp:89</a></div></div>
-<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_ae64523937ea910030ad66fee6fddd51f"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f">armnn::DetectionPostProcessDescriptor::m_ScaleX</a></div><div class="ttdeci">float m_ScaleX</div><div class="ttdoc">Center size encoding scale x. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00727">Descriptors.hpp:727</a></div></div>
-<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml_a2bea87b470268bb0b73457c3733dbc04"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#a2bea87b470268bb0b73457c3733dbc04">armnn::StackDescriptor::m_InputShape</a></div><div class="ttdeci">TensorShape m_InputShape</div><div class="ttdoc">Required shape of all input tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01224">Descriptors.hpp:1224</a></div></div>
-<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml_a281fcaec86e17c97f7b8402633f6b55a"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a">armnn::FullyConnectedDescriptor::m_TransposeWeightMatrix</a></div><div class="ttdeci">bool m_TransposeWeightMatrix</div><div class="ttdoc">Enable/disable transpose weight matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00496">Descriptors.hpp:496</a></div></div>
-<div class="ttc" id="structarmnn_1_1_fake_quantization_descriptor_xhtml_a4c14a8e0d126891dd0c38e7584312bfd"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a4c14a8e0d126891dd0c38e7584312bfd">armnn::FakeQuantizationDescriptor::m_Min</a></div><div class="ttdeci">float m_Min</div><div class="ttdoc">Minimum value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00887">Descriptors.hpp:887</a></div></div>
-<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml_abaafe52396509f67f8cde6578c75df01"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml#abaafe52396509f67f8cde6578c75df01">armnn::PermuteDescriptor::PermuteDescriptor</a></div><div class="ttdeci">PermuteDescriptor(const PermutationVector &amp;dimMappings)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00135">Descriptors.hpp:135</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55"><div class="ttname"><a href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalBinaryOperation::LogicalAnd</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a6d8fb685cc1ff224f25aa127fcf62c86"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">armnn::Pooling2dDescriptor::m_PoolWidth</a></div><div class="ttdeci">uint32_t m_PoolWidth</div><div class="ttdoc">Pooling width value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00383">Descriptors.hpp:383</a></div></div>
-<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">armnn::QLstmDescriptor::m_PeepholeEnabled</a></div><div class="ttdeci">bool m_PeepholeEnabled</div><div class="ttdoc">Enable/disable peephole. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01367">Descriptors.hpp:1367</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Convolution3dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00609">Descriptors.hpp:609</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00502">Descriptors.hpp:502</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
-<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a174279be57d7596eeb04c6b7f7510f99"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a174279be57d7596eeb04c6b7f7510f99">armnn::NormalizationDescriptor::m_Alpha</a></div><div class="ttdeci">float m_Alpha</div><div class="ttdoc">Alpha value for the normalization equation. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00767">Descriptors.hpp:767</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a9943d217090b2611a6b0eb3e17ed133c"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a9943d217090b2611a6b0eb3e17ed133c">armnn::PadDescriptor::PadDescriptor</a></div><div class="ttdeci">PadDescriptor(const std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt;&gt; &amp;padList, const float &amp;padValue=0, const PaddingMode &amp;paddingMode=PaddingMode::Constant)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01148">Descriptors.hpp:1148</a></div></div>
-<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::DepthwiseConvolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00660">Descriptors.hpp:660</a></div></div>
-<div class="ttc" id="structarmnn_1_1_reduce_descriptor_xhtml_a28e0548abfc4e79c48f29a3d11a062e9"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">armnn::ReduceDescriptor::m_KeepDims</a></div><div class="ttdeci">bool m_KeepDims</div><div class="ttdoc">if true then output shape has no change. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01501">Descriptors.hpp:1501</a></div></div>
-<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_af8f724af7210b52529216feefa993c98"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98">armnn::QLstmDescriptor::m_HiddenStateScale</a></div><div class="ttdeci">float m_HiddenStateScale</div><div class="ttdoc">Hidden State quantization scale. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01383">Descriptors.hpp:1383</a></div></div>
-<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::TransposeConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01428">Descriptors.hpp:1428</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_acb441bb8db19bcce78d15cdd8ceb5ea0"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#acb441bb8db19bcce78d15cdd8ceb5ea0">armnn::BatchMatMulDescriptor::m_TransposeX</a></div><div class="ttdeci">bool m_TransposeX</div><div class="ttdoc">Transpose the slices of each input tensor Transpose and Adjoint can not both be set to true for the s...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01559">Descriptors.hpp:1559</a></div></div>
-<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_a78f5b213a603b55d0fabea389e89f203"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a78f5b213a603b55d0fabea389e89f203">armnn::TransposeConvolution2dDescriptor::m_OutputShape</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_OutputShape</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01433">Descriptors.hpp:1433</a></div></div>
-<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_aa43409f9b457352c95c89f20ce5d844d"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d">armnn::QLstmDescriptor::m_OutputIntermediateScale</a></div><div class="ttdeci">float m_OutputIntermediateScale</div><div class="ttdoc">Output intermediate quantization scale. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01379">Descriptors.hpp:1379</a></div></div>
-<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a869254cb56968986a78a79e1d6d4a86b"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b">armnn::ResizeDescriptor::m_Method</a></div><div class="ttdeci">ResizeMethod m_Method</div><div class="ttdoc">The Interpolation method to use (Bilinear, NearestNeighbor). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00959">Descriptors.hpp:959</a></div></div>
-<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml_a5e078fd505aef7bccaa05c8058e096cc"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a5e078fd505aef7bccaa05c8058e096cc">armnn::InstanceNormalizationDescriptor::m_Gamma</a></div><div class="ttdeci">float m_Gamma</div><div class="ttdoc">Gamma, the scale scalar value applied for the normalized tensor. Defaults to 1.0. ...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00833">Descriptors.hpp:833</a></div></div>
-<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">armnn::SoftmaxDescriptor::m_Beta</a></div><div class="ttdeci">float m_Beta</div><div class="ttdoc">Exponentiation value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00170">Descriptors.hpp:170</a></div></div>
-<div class="ttc" id="structarmnn_1_1_slice_descriptor_xhtml_ab52cabf19232290fa6b49828ba957ac0"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml#ab52cabf19232290fa6b49828ba957ac0">armnn::SliceDescriptor::m_Size</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_Size</div><div class="ttdoc">Size of the slice in each dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01194">Descriptors.hpp:1194</a></div></div>
-<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af045269be0c755dbf3c3b8c4d71a88af"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af045269be0c755dbf3c3b8c4d71a88af">armnn::ActivationDescriptor::ActivationDescriptor</a></div><div class="ttdeci">ActivationDescriptor(armnn::ActivationFunction activation, float a=0, float b=0)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00044">Descriptors.hpp:44</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a3888429b6ebc79f9a7df549e5e4d9a2fa843f2812f595e7ec7c5036e89fde02d6"><div class="ttname"><a href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2fa843f2812f595e7ec7c5036e89fde02d6">armnn::PaddingMethod::Exclude</a></div><div class="ttdoc">The padding fields don&amp;#39;t count and are ignored. </div></div>
-<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_xhtml_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">armnn::BatchNormalizationDescriptor::m_Eps</a></div><div class="ttdeci">float m_Eps</div><div class="ttdoc">Value to add to the variance. Used to avoid dividing by zero. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00809">Descriptors.hpp:809</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a8c29d6ea9b4186d69aad5961c910939c"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">armnn::Pooling2dDescriptor::m_PaddingMethod</a></div><div class="ttdeci">PaddingMethod m_PaddingMethod</div><div class="ttdoc">The padding method to be used. (Exclude, IgnoreValue). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00393">Descriptors.hpp:393</a></div></div>
-<div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_xhtml_ab1ae6f520bb1a4da191a0ae907477f23"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml#ab1ae6f520bb1a4da191a0ae907477f23">armnn::ArgMinMaxDescriptor::m_Function</a></div><div class="ttdeci">ArgMinMaxFunction m_Function</div><div class="ttdoc">Specify if the function is to find Min or Max. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00081">Descriptors.hpp:81</a></div></div>
-<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a7e2f87544b8bc7e497e1dec8d3ca4055"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055">armnn::DetectionPostProcessDescriptor::m_DetectionsPerClass</a></div><div class="ttdeci">uint32_t m_DetectionsPerClass</div><div class="ttdoc">Detections per classes, used in Regular NMS. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00717">Descriptors.hpp:717</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::BatchNormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00811">Descriptors.hpp:811</a></div></div>
-<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_ad85386aea7d6e684da1ff46fd099962e"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad85386aea7d6e684da1ff46fd099962e">armnn::QLstmDescriptor::QLstmDescriptor</a></div><div class="ttdeci">QLstmDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01329">Descriptors.hpp:1329</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_abe18a5033f2ab9c0de82c676b48f5437"><div class="ttname"><a href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437">armnn::NormalizationAlgorithmChannel</a></div><div class="ttdeci">NormalizationAlgorithmChannel</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00193">Types.hpp:193</a></div></div>
-<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_a9bc46a2ad56319786bad30be9ab2dc6a"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a9bc46a2ad56319786bad30be9ab2dc6a">armnn::TransposeConvolution2dDescriptor::m_OutputShapeEnabled</a></div><div class="ttdeci">bool m_OutputShapeEnabled</div><div class="ttdoc">Output shape if it has been specified. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01432">Descriptors.hpp:1432</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::BatchToSpaceNdDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00870">Descriptors.hpp:870</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a2b53a866f5baae6a357bf034019e0ff3"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a2b53a866f5baae6a357bf034019e0ff3">armnn::BatchToSpaceNdDescriptor::BatchToSpaceNdDescriptor</a></div><div class="ttdeci">BatchToSpaceNdDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00845">Descriptors.hpp:845</a></div></div>
-<div class="ttc" id="structarmnn_1_1_logical_binary_descriptor_xhtml_a51f5857f7037128a859546af624c1fe4"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.xhtml#a51f5857f7037128a859546af624c1fe4">armnn::LogicalBinaryDescriptor::LogicalBinaryDescriptor</a></div><div class="ttdeci">LogicalBinaryDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01467">Descriptors.hpp:1467</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_a0cf8306be7d301de0f095fff9901a525"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a0cf8306be7d301de0f095fff9901a525">armnn::BatchMatMulDescriptor::m_AdjointX</a></div><div class="ttdeci">bool m_AdjointX</div><div class="ttdoc">Adjoint the slices of each input tensor Transpose and Adjoint can not both be set to true for the sam...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01564">Descriptors.hpp:1564</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::Pooling3dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00445">Descriptors.hpp:445</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::Pooling2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00379">Descriptors.hpp:379</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::Convolution3dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00603">Descriptors.hpp:603</a></div></div>
-<div class="ttc" id="structarmnn_1_1_slice_descriptor_xhtml_a6d81f59d176cf5b1b7f7b16653cb909c"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml#a6d81f59d176cf5b1b7f7b16653cb909c">armnn::SliceDescriptor::SliceDescriptor</a></div><div class="ttdeci">SliceDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01182">Descriptors.hpp:1182</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::Convolution3dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00621">Descriptors.hpp:621</a></div></div>
-<div class="ttc" id="structarmnn_1_1_logical_binary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.xhtml">armnn::LogicalBinaryDescriptor</a></div><div class="ttdoc">A LogicalBinaryDescriptor for the LogicalBinaryLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01465">Descriptors.hpp:1465</a></div></div>
-<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a4a6bc0b32c1db8d15971cae0ed4483a1"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a4a6bc0b32c1db8d15971cae0ed4483a1">armnn::LstmDescriptor::LstmDescriptor</a></div><div class="ttdeci">LstmDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01051">Descriptors.hpp:1051</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::Convolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00536">Descriptors.hpp:536</a></div></div>
-<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::NormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00773">Descriptors.hpp:773</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; m_PadList</div><div class="ttdoc">Specifies the padding for input dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01165">Descriptors.hpp:1165</a></div></div>
-<div class="ttc" id="structarmnn_1_1_reduce_descriptor_xhtml_aa57c67b1da0011b1abb30170146e870f"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml#aa57c67b1da0011b1abb30170146e870f">armnn::ReduceDescriptor::m_ReduceOperation</a></div><div class="ttdeci">ReduceOperation m_ReduceOperation</div><div class="ttdoc">Specifies the reduction operation to execute. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01505">Descriptors.hpp:1505</a></div></div>
-<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a3dcd10ca3ea2e132558b1e2814668c15"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a3dcd10ca3ea2e132558b1e2814668c15">armnn::LstmDescriptor::m_TimeMajor</a></div><div class="ttdeci">bool m_TimeMajor</div><div class="ttdoc">Enable/disable time major. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01101">Descriptors.hpp:1101</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_afeaf71922a51fe85cd5a159381dd8b13"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#afeaf71922a51fe85cd5a159381dd8b13">armnn::BatchMatMulDescriptor::BatchMatMulDescriptor</a></div><div class="ttdeci">BatchMatMulDescriptor(bool transposeX=false, bool transposeY=false, bool adjointX=false, bool adjointY=false, DataLayout dataLayoutX=DataLayout::NCHW, DataLayout dataLayoutY=DataLayout::NCHW)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01533">Descriptors.hpp:1533</a></div></div>
-<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml_a3613459765b8bc457405eb2708a4795f"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a3613459765b8bc457405eb2708a4795f">armnn::ChannelShuffleDescriptor::ChannelShuffleDescriptor</a></div><div class="ttdeci">ChannelShuffleDescriptor(const uint32_t &amp;numGroups, const uint32_t &amp;axis)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01515">Descriptors.hpp:1515</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::Pooling3dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCDHW, NDHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00471">Descriptors.hpp:471</a></div></div>
-<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::TransposeConvolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01422">Descriptors.hpp:1422</a></div></div>
-<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a61081be1483984e33db452c75d569f51"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61081be1483984e33db452c75d569f51">armnn::StridedSliceDescriptor::m_BeginMask</a></div><div class="ttdeci">int32_t m_BeginMask</div><div class="ttdoc">Begin mask value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01297">Descriptors.hpp:1297</a></div></div>
-<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_a83ca447892f460dabaa2f87d3dc3db61"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">armnn::Pooling3dDescriptor::m_PadFront</a></div><div class="ttdeci">uint32_t m_PadFront</div><div class="ttdoc">Padding front value in the depth dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00451">Descriptors.hpp:451</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">armnn::Convolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation along y axis. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00548">Descriptors.hpp:548</a></div></div>
-<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_ac37e49c0d6e6e54f9d2015d0f11f8ee7"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#ac37e49c0d6e6e54f9d2015d0f11f8ee7">armnn::StridedSliceDescriptor::m_EndMask</a></div><div class="ttdeci">int32_t m_EndMask</div><div class="ttdoc">End mask value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01300">Descriptors.hpp:1300</a></div></div>
-<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01022">Descriptors.hpp:1022</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a961bbfe1db71a848eff5a1f0ab775718"><div class="ttname"><a href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">armnn::PoolingAlgorithm</a></div><div class="ttdeci">PoolingAlgorithm</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00136">Types.hpp:136</a></div></div>
-<div class="ttc" id="structarmnn_1_1_base_descriptor_xhtml_a5e0f82ef2f18eb897e6d6f1845e74033"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.xhtml#a5e0f82ef2f18eb897e6d6f1845e74033">armnn::BaseDescriptor::~BaseDescriptor</a></div><div class="ttdeci">virtual ~BaseDescriptor()=default</div></div>
-<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::SpaceToBatchNdDescriptor::m_PadList</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; m_PadList</div><div class="ttdoc">Specifies the padding values for the input dimension: heightPad{top, bottom} widthPad{left, right}. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01016">Descriptors.hpp:1016</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_a5699e8606c37d18c03910b242cd1b010"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">armnn::Pooling3dDescriptor::m_PoolHeight</a></div><div class="ttdeci">uint32_t m_PoolHeight</div><div class="ttdoc">Pooling height value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00457">Descriptors.hpp:457</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::Convolution3dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation along x axis. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00615">Descriptors.hpp:615</a></div></div>
-<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">armnn::DepthwiseConvolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation factor value for height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00674">Descriptors.hpp:674</a></div></div>
-<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_afeab6350b2194f924f7e73af2f7c0c5c"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#afeab6350b2194f924f7e73af2f7c0c5c">armnn::StridedSliceDescriptor::StridedSliceDescriptor</a></div><div class="ttdeci">StridedSliceDescriptor(const std::vector&lt; int &gt; &amp;begin, const std::vector&lt; int &gt; &amp;end, const std::vector&lt; int &gt; &amp;stride)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01252">Descriptors.hpp:1252</a></div></div>
-<div class="ttc" id="structarmnn_1_1_logical_binary_descriptor_xhtml_a32c95d929d2e2e0fa7fc1a3a25865eb0"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.xhtml#a32c95d929d2e2e0fa7fc1a3a25865eb0">armnn::LogicalBinaryDescriptor::m_Operation</a></div><div class="ttdeci">LogicalBinaryOperation m_Operation</div><div class="ttdoc">Specifies the logical operation to execute. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01481">Descriptors.hpp:1481</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00843">Descriptors.hpp:843</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Pooling2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00387">Descriptors.hpp:387</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a2da4db0140d1a6dc69c9c82e9ef5379e"><div class="ttname"><a href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379e">armnn::LogicalBinaryOperation</a></div><div class="ttdeci">LogicalBinaryOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00118">Types.hpp:118</a></div></div>
-<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::PermuteDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00153">Descriptors.hpp:153</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Convolution3dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00611">Descriptors.hpp:611</a></div></div>
-<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml_abb8a2d2bb8cc594c26aaa70c820ac5cc"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#abb8a2d2bb8cc594c26aaa70c820ac5cc">armnn::StandInDescriptor::m_NumOutputs</a></div><div class="ttdeci">uint32_t m_NumOutputs</div><div class="ttdoc">Number of output tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01246">Descriptors.hpp:1246</a></div></div>
-<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a05945f080edf694b631960728b87aadb"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a05945f080edf694b631960728b87aadb">armnn::NormalizationDescriptor::m_NormMethodType</a></div><div class="ttdeci">NormalizationAlgorithmMethod m_NormMethodType</div><div class="ttdoc">Normalization method algorithm to use (LocalBrightness, LocalContrast). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00763">Descriptors.hpp:763</a></div></div>
-<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml">armnn::ResizeDescriptor</a></div><div class="ttdoc">A ResizeDescriptor for the ResizeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00932">Descriptors.hpp:932</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a3888429b6ebc79f9a7df549e5e4d9a2f"><div class="ttname"><a href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2f">armnn::PaddingMethod</a></div><div class="ttdeci">PaddingMethod</div><div class="ttdoc">The padding method modifies the output of pooling layers. </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00174">Types.hpp:174</a></div></div>
-<div class="ttc" id="structarmnn_1_1_l2_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::L2NormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00792">Descriptors.hpp:792</a></div></div>
-<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a9ae2c9796692ebeafe19a4d3f09c8ea8"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">armnn::DetectionPostProcessDescriptor::m_MaxClassesPerDetection</a></div><div class="ttdeci">uint32_t m_MaxClassesPerDetection</div><div class="ttdoc">Maximum numbers of classes per detection, used in Fast NMS. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00715">Descriptors.hpp:715</a></div></div>
-<div class="ttc" id="structarmnn_1_1_base_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.xhtml">armnn::BaseDescriptor</a></div><div class="ttdoc">Base class for all descriptors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00022">Descriptors.hpp:22</a></div></div>
-<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml_a1f0d67b087c491248bd1cde3ff995a95"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">armnn::MeanDescriptor::m_Axis</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_Axis</div><div class="ttdoc">Values for the dimensions to reduce. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01137">Descriptors.hpp:1137</a></div></div>
-<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml">armnn::StackDescriptor</a></div><div class="ttdoc">A StackDescriptor for the StackLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01198">Descriptors.hpp:1198</a></div></div>
-<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::SpaceToBatchNdDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01018">Descriptors.hpp:1018</a></div></div>
-<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_afec7f36158448f723b426a9527acb189"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189">armnn::LstmDescriptor::m_ForgetIntermediateScale</a></div><div class="ttdeci">float m_ForgetIntermediateScale</div><div class="ttdoc">Forget intermediate quantization scale. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01105">Descriptors.hpp:1105</a></div></div>
-<div class="ttc" id="structarmnn_1_1_l2_normalization_descriptor_xhtml_a7c758226ee35a1387dff4fb8a5f14948"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a7c758226ee35a1387dff4fb8a5f14948">armnn::L2NormalizationDescriptor::L2NormalizationDescriptor</a></div><div class="ttdeci">L2NormalizationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00779">Descriptors.hpp:779</a></div></div>
-<div class="ttc" id="structarmnn_1_1_reshape_descriptor_xhtml_a1178f4dafdda81f59c15145ec327f7d9"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml#a1178f4dafdda81f59c15145ec327f7d9">armnn::ReshapeDescriptor::m_TargetShape</a></div><div class="ttdeci">TensorShape m_TargetShape</div><div class="ttdoc">Target shape value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00986">Descriptors.hpp:986</a></div></div>
-<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a2c16307e3575b3bfcd9d33a3923bec73"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a2c16307e3575b3bfcd9d33a3923bec73">armnn::ResizeDescriptor::ResizeDescriptor</a></div><div class="ttdeci">ResizeDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00934">Descriptors.hpp:934</a></div></div>
-<div class="ttc" id="structarmnn_1_1_comparison_descriptor_xhtml_abc1707b90d0ceb3594945256af70c839"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml#abc1707b90d0ceb3594945256af70c839">armnn::ComparisonDescriptor::ComparisonDescriptor</a></div><div class="ttdeci">ComparisonDescriptor(ComparisonOperation operation)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00095">Descriptors.hpp:95</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a5699e8606c37d18c03910b242cd1b010"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">armnn::Pooling2dDescriptor::m_PoolHeight</a></div><div class="ttdeci">uint32_t m_PoolHeight</div><div class="ttdoc">Pooling height value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00385">Descriptors.hpp:385</a></div></div>
-<div class="ttc" id="structarmnn_1_1_reshape_descriptor_xhtml_aa56cfbc7e14b271ba389e064a769e2f2"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml#aa56cfbc7e14b271ba389e064a769e2f2">armnn::ReshapeDescriptor::ReshapeDescriptor</a></div><div class="ttdeci">ReshapeDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00972">Descriptors.hpp:972</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_ab297e72fab7f2ebba2ffd05b11bfbf7a"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#ab297e72fab7f2ebba2ffd05b11bfbf7a">armnn::Convolution2dDescriptor::Convolution2dDescriptor</a></div><div class="ttdeci">Convolution2dDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00504">Descriptors.hpp:504</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::Convolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00538">Descriptors.hpp:538</a></div></div>
-<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_ae72089bcab60ac175557f4241b16a014"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">armnn::DetectionPostProcessDescriptor::m_MaxDetections</a></div><div class="ttdeci">uint32_t m_MaxDetections</div><div class="ttdoc">Maximum numbers of detections. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00713">Descriptors.hpp:713</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml">armnn::PadDescriptor</a></div><div class="ttdoc">A PadDescriptor for the PadLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01143">Descriptors.hpp:1143</a></div></div>
-<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml_ab70cd7344da13580556ea1af358a8a8b"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#ab70cd7344da13580556ea1af358a8a8b">armnn::FullyConnectedDescriptor::FullyConnectedDescriptor</a></div><div class="ttdeci">FullyConnectedDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00477">Descriptors.hpp:477</a></div></div>
-<div class="ttc" id="namespacestd_xhtml"><div class="ttname"><a href="namespacestd.xhtml">std</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00149">BackendId.hpp:149</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_aedca000a005e091c23191e82d7e81b1d"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aedca000a005e091c23191e82d7e81b1d">armnn::BatchMatMulDescriptor::m_DataLayoutX</a></div><div class="ttdeci">DataLayout m_DataLayoutX</div><div class="ttdoc">Data layout of each input tensor, such as NHWC/NDHWC (leave as default for arbitrary layout) ...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01568">Descriptors.hpp:1568</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Convolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00542">Descriptors.hpp:542</a></div></div>
-<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a4556cbd764d4848d8ad0637a9eed580d"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d">armnn::LstmDescriptor::m_HiddenStateZeroPoint</a></div><div class="ttdeci">int32_t m_HiddenStateZeroPoint</div><div class="ttdoc">Hidden State zero point. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01111">Descriptors.hpp:1111</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58c"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58c">armnn::ComparisonOperation</a></div><div class="ttdeci">ComparisonOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00108">Types.hpp:108</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_a11d5c25face9b54e90f79ee8bdc1d0fb"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">armnn::Pooling3dDescriptor::m_PadBack</a></div><div class="ttdeci">uint32_t m_PadBack</div><div class="ttdoc">Padding back value in the depth dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00453">Descriptors.hpp:453</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015">armnn::DataLayout::NCDHW</a></div></div>
-<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::DepthwiseConvolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00668">Descriptors.hpp:668</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0">armnn::ReduceOperation</a></div><div class="ttdeci">ReduceOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00143">Types.hpp:143</a></div></div>
-<div class="ttc" id="namespacearmnn_utils_xhtml_a49ba5984d8cde4299d8ef15c9e556587"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">armnnUtils::operator==</a></div><div class="ttdeci">bool operator==(const armnn::DataLayout &amp;dataLayout, const DataLayoutIndexed &amp;indexed)</div><div class="ttdoc">Equality methods. </div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8cpp_source.xhtml#l00046">DataLayoutIndexed.cpp:46</a></div></div>
-<div class="ttc" id="structarmnn_1_1_null_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_null_descriptor.xhtml">armnn::NullDescriptor</a></div><div class="ttdoc">Null Descriptor used as a return value from the IConnectableLayer GetParameters method by layers whic...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00030">Descriptors.hpp:30</a></div></div>
-<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">armnn::QLstmDescriptor::m_LayerNormEnabled</a></div><div class="ttdeci">bool m_LayerNormEnabled</div><div class="ttdoc">Enable/disable layer normalization. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01371">Descriptors.hpp:1371</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_aed508ea8d7b3ef4e171cb6f178acf086"><div class="ttname"><a href="namespacearmnn.xhtml#aed508ea8d7b3ef4e171cb6f178acf086">armnn::GetNumInputs</a></div><div class="ttdeci">uint32_t GetNumInputs(bool biasEnabled)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00428">Descriptors.cpp:428</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00048">Types.hpp:48</a></div></div>
-<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a53c8a7f33a40e1e240256bcfcf41b101"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101">armnn::DetectionPostProcessDescriptor::m_NmsIouThreshold</a></div><div class="ttdeci">float m_NmsIouThreshold</div><div class="ttdoc">Intersection over union threshold. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00721">Descriptors.hpp:721</a></div></div>
-<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a0477ee1b44ace6090119178eea78cb0b"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b">armnn::LstmDescriptor::m_CellIntermediateScale</a></div><div class="ttdeci">float m_CellIntermediateScale</div><div class="ttdoc">Cell intermediate quantization scale. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01107">Descriptors.hpp:1107</a></div></div>
-<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml_ae7fbf819ce2bbdbdc55d546dd40a1213"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml#ae7fbf819ce2bbdbdc55d546dd40a1213">armnn::TransposeDescriptor::TransposeDescriptor</a></div><div class="ttdeci">TransposeDescriptor(const PermutationVector &amp;dimMappings)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01443">Descriptors.hpp:1443</a></div></div>
-<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01049">Descriptors.hpp:1049</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::Pooling2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00377">Descriptors.hpp:377</a></div></div>
-<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::DepthwiseConvolution2dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation factor value for width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00672">Descriptors.hpp:672</a></div></div>
-<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::DepthwiseConvolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00664">Descriptors.hpp:664</a></div></div>
-<div class="ttc" id="structarmnn_1_1_slice_descriptor_xhtml_a4939f00778f08d6c6fec6f74c0a59b7e"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml#a4939f00778f08d6c6fec6f74c0a59b7e">armnn::SliceDescriptor::m_Begin</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_Begin</div><div class="ttdoc">Beginning indices of the slice in each dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01191">Descriptors.hpp:1191</a></div></div>
-<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a7c91eda2b331d607bae92cd8ebf50bb9"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a7c91eda2b331d607bae92cd8ebf50bb9">armnn::StridedSliceDescriptor::m_NewAxisMask</a></div><div class="ttdeci">int32_t m_NewAxisMask</div><div class="ttdoc">New axis mask value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01307">Descriptors.hpp:1307</a></div></div>
-<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml_a28e0548abfc4e79c48f29a3d11a062e9"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">armnn::MeanDescriptor::m_KeepDims</a></div><div class="ttdeci">bool m_KeepDims</div><div class="ttdoc">Enable/disable keep dimensions. If true, then the reduced dimensions that are of length 1 are kept...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01139">Descriptors.hpp:1139</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">armnn::BatchToSpaceNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_BlockShape</div><div class="ttdoc">Block shape values. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00866">Descriptors.hpp:866</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></div>
-<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">armnn::InstanceNormalizationDescriptor::m_Eps</a></div><div class="ttdeci">float m_Eps</div><div class="ttdoc">Epsilon, small scalar value added to variance to avoid dividing by zero. Defaults to 1e-12f...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00837">Descriptors.hpp:837</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_a9aa1f2c8dd9402d6797779d7e4768e48"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a9aa1f2c8dd9402d6797779d7e4768e48">armnn::Pooling3dDescriptor::Pooling3dDescriptor</a></div><div class="ttdeci">Pooling3dDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00401">Descriptors.hpp:401</a></div></div>
-<div class="ttc" id="structarmnn_1_1_l2_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml">armnn::L2NormalizationDescriptor</a></div><div class="ttdoc">A L2NormalizationDescriptor for the L2NormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00777">Descriptors.hpp:777</a></div></div>
-<div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml">armnn::ArgMinMaxDescriptor</a></div><div class="ttdoc">An ArgMinMaxDescriptor for ArgMinMaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00067">Descriptors.hpp:67</a></div></div>
-<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a6c7517bc11f580a0a443940bc5f81775"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a6c7517bc11f580a0a443940bc5f81775">armnn::ActivationDescriptor::ActivationDescriptor</a></div><div class="ttdeci">ActivationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00038">Descriptors.hpp:38</a></div></div>
-<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00181">Descriptors.hpp:181</a></div></div>
-<div class="ttc" id="structarmnn_1_1_reduce_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml">armnn::ReduceDescriptor</a></div><div class="ttdoc">A ReduceDescriptor for the REDUCE operators. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01485">Descriptors.hpp:1485</a></div></div>
-<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_aa6a518b65088f34803b3214334bdff61"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa6a518b65088f34803b3214334bdff61">armnn::QLstmDescriptor::m_ProjectionClip</a></div><div class="ttdeci">float m_ProjectionClip</div><div class="ttdoc">Clipping threshold value for the projection. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01363">Descriptors.hpp:1363</a></div></div>
-<div class="ttc" id="_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div>
-<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00475">Descriptors.hpp:475</a></div></div>
-<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml_af4d882230882f20ef1500510e5ff4c87"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml#af4d882230882f20ef1500510e5ff4c87">armnn::TransposeDescriptor::TransposeDescriptor</a></div><div class="ttdeci">TransposeDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01439">Descriptors.hpp:1439</a></div></div>
-<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml_a9a9b91f345b141a62e984fe1a1ab0f8b"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a9a9b91f345b141a62e984fe1a1ab0f8b">armnn::ChannelShuffleDescriptor::ChannelShuffleDescriptor</a></div><div class="ttdeci">ChannelShuffleDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01511">Descriptors.hpp:1511</a></div></div>
-<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_af996d82c47e43a16f4c8faa6c6b3e030"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#af996d82c47e43a16f4c8faa6c6b3e030">armnn::StridedSliceDescriptor::m_EllipsisMask</a></div><div class="ttdeci">int32_t m_EllipsisMask</div><div class="ttdoc">Ellipsis mask value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01304">Descriptors.hpp:1304</a></div></div>
-<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::FullyConnectedDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00494">Descriptors.hpp:494</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_abf96ff8314156a991f72d107d4f325ce"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#abf96ff8314156a991f72d107d4f325ce">armnn::PadDescriptor::PadDescriptor</a></div><div class="ttdeci">PadDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01145">Descriptors.hpp:1145</a></div></div>
-<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_a09e1f097944f61cc901240f9300364cf"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf">armnn::QLstmDescriptor::m_InputIntermediateScale</a></div><div class="ttdeci">float m_InputIntermediateScale</div><div class="ttdoc">Input intermediate quantization scale. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01373">Descriptors.hpp:1373</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_affb5b68b3eba3ed45a06c7cde7781962"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">armnn::Pooling3dDescriptor::m_OutputShapeRounding</a></div><div class="ttdeci">OutputShapeRounding m_OutputShapeRounding</div><div class="ttdoc">The rounding method for the output shape. (Floor, Ceiling). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00467">Descriptors.hpp:467</a></div></div>
-<div class="ttc" id="structarmnn_1_1_fake_quantization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml">armnn::FakeQuantizationDescriptor</a></div><div class="ttdoc">A FakeQuantizationDescriptor for the FakeQuantizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00874">Descriptors.hpp:874</a></div></div>
-<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a8b4bd784a8d7b85b437c7c5d61c93bd9"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a8b4bd784a8d7b85b437c7c5d61c93bd9">armnn::DepthwiseConvolution2dDescriptor::DepthwiseConvolution2dDescriptor</a></div><div class="ttdeci">DepthwiseConvolution2dDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00629">Descriptors.hpp:629</a></div></div>
-<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_aa7a846e189c37a6092fbf10e90110dc9"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#aa7a846e189c37a6092fbf10e90110dc9">armnn::SpaceToBatchNdDescriptor::SpaceToBatchNdDescriptor</a></div><div class="ttdeci">SpaceToBatchNdDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00992">Descriptors.hpp:992</a></div></div>
-<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_adcf5037208faac36c0788239a073f75c"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">armnn::ResizeDescriptor::m_TargetWidth</a></div><div class="ttdeci">uint32_t m_TargetWidth</div><div class="ttdoc">Target width value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00954">Descriptors.hpp:954</a></div></div>
-<div class="ttc" id="structarmnn_1_1_gather_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.xhtml">armnn::GatherDescriptor</a></div><div class="ttdoc">A GatherDescriptor for the GatherLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00912">Descriptors.hpp:912</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::Pooling3dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00449">Descriptors.hpp:449</a></div></div>
-<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">armnn::LstmDescriptor::m_PeepholeEnabled</a></div><div class="ttdeci">bool m_PeepholeEnabled</div><div class="ttdoc">Enable/disable peephole. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01095">Descriptors.hpp:1095</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00042">Types.hpp:42</a></div></div>
-<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a3a04b0ccee4bb2f21721ee5045e83df4"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">armnn::DetectionPostProcessDescriptor::m_NumClasses</a></div><div class="ttdeci">uint32_t m_NumClasses</div><div class="ttdoc">Number of classes. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00723">Descriptors.hpp:723</a></div></div>
-<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a4022d5107338aaf5eb7abebf78a1360b"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a4022d5107338aaf5eb7abebf78a1360b">armnn::ResizeDescriptor::m_HalfPixelCenters</a></div><div class="ttdeci">bool m_HalfPixelCenters</div><div class="ttdoc">Half Pixel Centers. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00965">Descriptors.hpp:965</a></div></div>
-<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a09e1f097944f61cc901240f9300364cf"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf">armnn::LstmDescriptor::m_InputIntermediateScale</a></div><div class="ttdeci">float m_InputIntermediateScale</div><div class="ttdoc">Input intermediate quantization scale. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01103">Descriptors.hpp:1103</a></div></div>
-<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::TransposeConvolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01420">Descriptors.hpp:1420</a></div></div>
-<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml">armnn::StandInDescriptor</a></div><div class="ttdoc">A StandInDescriptor for the StandIn layer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01228">Descriptors.hpp:1228</a></div></div>
-<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml">armnn::QLstmDescriptor</a></div><div class="ttdoc">A QLstmDescriptor for the QLstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01327">Descriptors.hpp:1327</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml_a112b466e5d2ab9d1887178adbe3afa1c"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a112b466e5d2ab9d1887178adbe3afa1c">armnn::BatchMatMulDescriptor::m_TransposeY</a></div><div class="ttdeci">bool m_TransposeY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01560">Descriptors.hpp:1560</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pre_compiled_descriptor_xhtml_aebc22128191c14a59356453600833344"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.xhtml#aebc22128191c14a59356453600833344">armnn::PreCompiledDescriptor::m_NumInputSlots</a></div><div class="ttdeci">unsigned int m_NumInputSlots</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01322">Descriptors.hpp:1322</a></div></div>
-<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a7ed9bc7c26df67d274d5dd4cd83adf0f"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">armnn::DetectionPostProcessDescriptor::m_UseRegularNms</a></div><div class="ttdeci">bool m_UseRegularNms</div><div class="ttdoc">Use Regular NMS. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00725">Descriptors.hpp:725</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml_a83ca447892f460dabaa2f87d3dc3db61"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">armnn::Convolution3dDescriptor::m_PadFront</a></div><div class="ttdeci">uint32_t m_PadFront</div><div class="ttdoc">Padding front value in the depth dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00605">Descriptors.hpp:605</a></div></div>
-<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::TransposeConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01430">Descriptors.hpp:1430</a></div></div>
-<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">armnn::SpaceToBatchNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_BlockShape</div><div class="ttdoc">Block shape value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01013">Descriptors.hpp:1013</a></div></div>
-<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a0d53caff836b84204adbd1c28752a201"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201">armnn::StridedSliceDescriptor::m_Stride</a></div><div class="ttdeci">std::vector&lt; int &gt; m_Stride</div><div class="ttdoc">Stride values for the input that will be sliced. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01293">Descriptors.hpp:1293</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">armnn::PaddingMode</a></div><div class="ttdeci">PaddingMode</div><div class="ttdoc">The padding mode controls whether the padding should be filled with constant values (Constant)...</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00186">Types.hpp:186</a></div></div>
-<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00036">Descriptors.hpp:36</a></div></div>
-<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a2c0bf19cb8ae5ab4f5b7373b2b1c79b8"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a2c0bf19cb8ae5ab4f5b7373b2b1c79b8">armnn::SpaceToBatchNdDescriptor::SpaceToBatchNdDescriptor</a></div><div class="ttdeci">SpaceToBatchNdDescriptor(const std::vector&lt; unsigned int &gt; &amp;blockShape, const std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt;&gt; &amp;padList)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00998">Descriptors.hpp:998</a></div></div>
-<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
-<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml_aed6086070440ceb94129bef06f70173f"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">armnn::StackDescriptor::m_NumInputs</a></div><div class="ttdeci">uint32_t m_NumInputs</div><div class="ttdoc">Number of input tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01222">Descriptors.hpp:1222</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Convolution3dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00597">Descriptors.hpp:597</a></div></div>
-<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a46c3fa15c46fb0d1dcdc24d0ea5cb5cd"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">armnn::ResizeDescriptor::m_TargetHeight</a></div><div class="ttdeci">uint32_t m_TargetHeight</div><div class="ttdoc">Target height value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00956">Descriptors.hpp:956</a></div></div>
-<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_ae1b07ed928036004bd257169e5aeeef4"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#ae1b07ed928036004bd257169e5aeeef4">armnn::LstmDescriptor::m_ActivationFunc</a></div><div class="ttdeci">uint32_t m_ActivationFunc</div><div class="ttdoc">The activation function to use. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01087">Descriptors.hpp:1087</a></div></div>
-<div class="ttc" id="structarmnn_1_1_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml">armnn::SliceDescriptor</a></div><div class="ttdoc">A SliceDescriptor for the SliceLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01175">Descriptors.hpp:1175</a></div></div>
-<div class="ttc" id="classarmnn_1_1_permutation_vector_xhtml"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00295">Types.hpp:295</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Convolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00544">Descriptors.hpp:544</a></div></div>
-<div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_xhtml_a3f8539a92fa960a194527b03c2183172"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a3f8539a92fa960a194527b03c2183172">armnn::ElementwiseUnaryDescriptor::ElementwiseUnaryDescriptor</a></div><div class="ttdeci">ElementwiseUnaryDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00111">Descriptors.hpp:111</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml">armnn::Convolution3dDescriptor</a></div><div class="ttdoc">A Convolution3dDescriptor for the Convolution3dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00556">Descriptors.hpp:556</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::Convolution3dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00599">Descriptors.hpp:599</a></div></div>
-<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a531a3907ec13d3772370da88030191a5"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">armnn::LstmDescriptor::m_ClippingThresCell</a></div><div class="ttdeci">float m_ClippingThresCell</div><div class="ttdoc">Clipping threshold value for the cell state. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01089">Descriptors.hpp:1089</a></div></div>
-<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml_a6c6b8957f1e176867e5fb05b1a1a1486"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486">armnn::SpaceToDepthDescriptor::m_BlockSize</a></div><div class="ttdeci">unsigned int m_BlockSize</div><div class="ttdoc">Scalar specifying the input block size. It must be &gt;= 1. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01039">Descriptors.hpp:1039</a></div></div>
-<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml_a1953d00371489c32ebded5a42eabc0cf"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf">armnn::ChannelShuffleDescriptor::m_NumGroups</a></div><div class="ttdeci">uint32_t m_NumGroups</div><div class="ttdoc">Number of groups for the channel shuffle operation. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01525">Descriptors.hpp:1525</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01531">Descriptors.hpp:1531</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a66f2c989f51ab6116de4380390250b69"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a66f2c989f51ab6116de4380390250b69">armnn::PadDescriptor::m_PaddingMode</a></div><div class="ttdeci">PaddingMode m_PaddingMode</div><div class="ttdoc">Specifies the Padding mode (Constant, Reflect or Symmetric) </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01171">Descriptors.hpp:1171</a></div></div>
-<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::InstanceNormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00839">Descriptors.hpp:839</a></div></div>
-<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml_ab284d1743a879c8762273540c363174e"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#ab284d1743a879c8762273540c363174e">armnn::SoftmaxDescriptor::SoftmaxDescriptor</a></div><div class="ttdeci">SoftmaxDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00159">Descriptors.hpp:159</a></div></div>
-<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_afec7f36158448f723b426a9527acb189"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189">armnn::QLstmDescriptor::m_ForgetIntermediateScale</a></div><div class="ttdeci">float m_ForgetIntermediateScale</div><div class="ttdoc">Forget intermediate quantization scale. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01375">Descriptors.hpp:1375</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::Pooling2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00395">Descriptors.hpp:395</a></div></div>
-<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">armnn::InstanceNormalizationDescriptor::m_Beta</a></div><div class="ttdeci">float m_Beta</div><div class="ttdoc">Beta, the offset scalar value applied for the normalized tensor. Defaults to 1.0. ...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00835">Descriptors.hpp:835</a></div></div>
-<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_af8f724af7210b52529216feefa993c98"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98">armnn::LstmDescriptor::m_HiddenStateScale</a></div><div class="ttdeci">float m_HiddenStateScale</div><div class="ttdoc">Hidden State quantization scale. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01113">Descriptors.hpp:1113</a></div></div>
-<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml_a36f0ec397ba668e40fbb48a806691feb"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a36f0ec397ba668e40fbb48a806691feb">armnn::InstanceNormalizationDescriptor::InstanceNormalizationDescriptor</a></div><div class="ttdeci">InstanceNormalizationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00817">Descriptors.hpp:817</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml">armnn::Pooling3dDescriptor</a></div><div class="ttdoc">A Pooling3dDescriptor for the Pooling3dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00399">Descriptors.hpp:399</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_a5164336f6a1b15be0d434a6bbf7289da"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">armnn::Pooling3dDescriptor::m_StrideZ</a></div><div class="ttdeci">uint32_t m_StrideZ</div><div class="ttdoc">Stride value when proceeding through input for the depth dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00465">Descriptors.hpp:465</a></div></div>
-<div class="ttc" id="structarmnn_1_1_reduce_descriptor_xhtml_aa1c6fc8c96404252f1072632fc5acb59"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml#aa1c6fc8c96404252f1072632fc5acb59">armnn::ReduceDescriptor::m_vAxis</a></div><div class="ttdeci">std::vector&lt; uint32_t &gt; m_vAxis</div><div class="ttdoc">The indices of the dimensions to reduce. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01503">Descriptors.hpp:1503</a></div></div>
-<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_aa61510cbd529870182e918ac6e8b9d72"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72">armnn::DetectionPostProcessDescriptor::m_ScaleH</a></div><div class="ttdeci">float m_ScaleH</div><div class="ttdoc">Center size encoding scale height. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00733">Descriptors.hpp:733</a></div></div>
-<div class="ttc" id="structarmnn_1_1_comparison_descriptor_xhtml_a865dc4f43cb0ff01a1dcf78036912fd1"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">armnn::ComparisonDescriptor::m_Operation</a></div><div class="ttdeci">ComparisonOperation m_Operation</div><div class="ttdoc">Specifies the comparison operation to execute. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00105">Descriptors.hpp:105</a></div></div>
-<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_aa68194dd6258ab5b04123005a066ea25"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#aa68194dd6258ab5b04123005a066ea25">armnn::StridedSliceDescriptor::m_End</a></div><div class="ttdeci">std::vector&lt; int &gt; m_End</div><div class="ttdoc">End values for the input that will be sliced. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01291">Descriptors.hpp:1291</a></div></div>
-<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">armnn::SpaceToBatchNdDescriptor</a></div><div class="ttdoc">A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00990">Descriptors.hpp:990</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_adf2e5515c4c36a3e7e46bb8b83c6754e"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754e">armnn::OutputShapeRounding</a></div><div class="ttdeci">OutputShapeRounding</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00207">Types.hpp:207</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::Convolution3dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NDHWC, NCDHW). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00623">Descriptors.hpp:623</a></div></div>
-<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_afe1f0f09d49ad2befc01f8789187b7dd"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#afe1f0f09d49ad2befc01f8789187b7dd">armnn::NormalizationDescriptor::m_NormChannelType</a></div><div class="ttdeci">NormalizationAlgorithmChannel m_NormChannelType</div><div class="ttdoc">Normalization channel algorithm to use (Across, Within). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00761">Descriptors.hpp:761</a></div></div>
-<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_ac81fb0e66dc623dc37c77f219f53a6d3"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#ac81fb0e66dc623dc37c77f219f53a6d3">armnn::QLstmDescriptor::m_CellClip</a></div><div class="ttdeci">float m_CellClip</div><div class="ttdoc">Clipping threshold value for the cell state. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01361">Descriptors.hpp:1361</a></div></div>
-<div class="ttc" id="_deprecated_8hpp_xhtml_af16119336bd0dfbfbc83fc283151067e"><div class="ttname"><a href="_deprecated_8hpp.xhtml#af16119336bd0dfbfbc83fc283151067e">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a></div><div class="ttdeci">#define ARMNN_DEPRECATED_MSG_REMOVAL_DATE(message, removed_in_release)</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.xhtml#l00044">Deprecated.hpp:44</a></div></div>
-<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00061">Descriptors.hpp:61</a></div></div>
-<div class="ttc" id="structarmnn_1_1_fill_descriptor_xhtml_ab3ebc5cf4a617d43371a4cb7fecdeb32"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.xhtml#ab3ebc5cf4a617d43371a4cb7fecdeb32">armnn::FillDescriptor::m_Value</a></div><div class="ttdeci">float m_Value</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00908">Descriptors.hpp:908</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::Convolution2dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation along x axis. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00546">Descriptors.hpp:546</a></div></div>
-<div class="ttc" id="structarmnn_1_1_fill_descriptor_xhtml_a5d52acced1b220575c512f19480f6e99"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.xhtml#a5d52acced1b220575c512f19480f6e99">armnn::FillDescriptor::FillDescriptor</a></div><div class="ttdeci">FillDescriptor(const float &amp;value)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00899">Descriptors.hpp:899</a></div></div>
-<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::SpaceToDepthDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01042">Descriptors.hpp:1042</a></div></div>
-<div class="ttc" id="_deprecated_8hpp_xhtml"><div class="ttname"><a href="_deprecated_8hpp.xhtml">Deprecated.hpp</a></div></div>
-<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::LstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable cifg (coupled input &amp; forget gate). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01093">Descriptors.hpp:1093</a></div></div>
-<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml_a22073dfd53bf509848f43a2f0d799496"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#a22073dfd53bf509848f43a2f0d799496">armnn::StandInDescriptor::StandInDescriptor</a></div><div class="ttdeci">StandInDescriptor(uint32_t numInputs, uint32_t numOutputs)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01232">Descriptors.hpp:1232</a></div></div>
-<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::TransposeConvolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01416">Descriptors.hpp:1416</a></div></div>
-<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_ae1a4b3b6c60552509b89747cebb900a2"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#ae1a4b3b6c60552509b89747cebb900a2">armnn::ResizeDescriptor::m_AlignCorners</a></div><div class="ttdeci">bool m_AlignCorners</div><div class="ttdoc">Aligned corners. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00963">Descriptors.hpp:963</a></div></div>
-<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::TransposeConvolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01424">Descriptors.hpp:1424</a></div></div>
-<div class="ttc" id="structarmnn_1_1_gather_descriptor_xhtml_a35d11c7d509d1adbae1ae01c58394a7f"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.xhtml#a35d11c7d509d1adbae1ae01c58394a7f">armnn::GatherDescriptor::m_Axis</a></div><div class="ttdeci">int32_t m_Axis</div><div class="ttdoc">The axis in params to gather indices from. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00928">Descriptors.hpp:928</a></div></div>
-<div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">armnn::ElementwiseUnaryDescriptor</a></div><div class="ttdoc">A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00109">Descriptors.hpp:109</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a0031997bf43bd2747656c31e4977793a"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">armnn::Pooling2dDescriptor::m_PoolType</a></div><div class="ttdeci">PoolingAlgorithm m_PoolType</div><div class="ttdoc">The pooling algorithm to use (Max. Average, L2). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00373">Descriptors.hpp:373</a></div></div>
-<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::DepthwiseConvolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00670">Descriptors.hpp:670</a></div></div>
-<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::TransposeConvolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01426">Descriptors.hpp:1426</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Pooling3dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00443">Descriptors.hpp:443</a></div></div>
-<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml_af295348553622bb3baadff6ea5124414"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml#af295348553622bb3baadff6ea5124414">armnn::SpaceToDepthDescriptor::SpaceToDepthDescriptor</a></div><div class="ttdeci">SpaceToDepthDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01024">Descriptors.hpp:1024</a></div></div>
-<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml_a700f6dc2a7a912cd37ee7dbfcc9220b9"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a700f6dc2a7a912cd37ee7dbfcc9220b9">armnn::SpaceToDepthDescriptor::SpaceToDepthDescriptor</a></div><div class="ttdeci">SpaceToDepthDescriptor(unsigned int blockSize, DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01028">Descriptors.hpp:1028</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a3941f674c071c9503e00d2b59e92e454"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a3941f674c071c9503e00d2b59e92e454">armnn::BatchToSpaceNdDescriptor::m_Crops</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; m_Crops</div><div class="ttdoc">The values to crop from the input dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00868">Descriptors.hpp:868</a></div></div>
-<div class="ttc" id="_exceptions_8hpp_xhtml"><div class="ttname"><a href="_exceptions_8hpp.xhtml">Exceptions.hpp</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::Convolution3dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00601">Descriptors.hpp:601</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::Pooling3dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00447">Descriptors.hpp:447</a></div></div>
-<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">armnn::QLstmDescriptor::m_ProjectionEnabled</a></div><div class="ttdeci">bool m_ProjectionEnabled</div><div class="ttdoc">Enable/disable the projection layer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01369">Descriptors.hpp:1369</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeae"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeae">armnn::ArgMinMaxFunction</a></div><div class="ttdeci">ArgMinMaxFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00102">Types.hpp:102</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_affb5b68b3eba3ed45a06c7cde7781962"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">armnn::Pooling2dDescriptor::m_OutputShapeRounding</a></div><div class="ttdeci">OutputShapeRounding m_OutputShapeRounding</div><div class="ttdoc">The rounding method for the output shape. (Floor, Ceiling). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00391">Descriptors.hpp:391</a></div></div>
-<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml_aed6086070440ceb94129bef06f70173f"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">armnn::StandInDescriptor::m_NumInputs</a></div><div class="ttdeci">uint32_t m_NumInputs</div><div class="ttdoc">Number of input tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01244">Descriptors.hpp:1244</a></div></div>
-<div class="ttc" id="structarmnn_1_1_fake_quantization_descriptor_xhtml_a07e9336ef20ef3348c954f620d9a31f3"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a07e9336ef20ef3348c954f620d9a31f3">armnn::FakeQuantizationDescriptor::FakeQuantizationDescriptor</a></div><div class="ttdeci">FakeQuantizationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00876">Descriptors.hpp:876</a></div></div>
-<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml_a5b192c5fcd96a0f75542524cf646b355"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a5b192c5fcd96a0f75542524cf646b355">armnn::OriginsDescriptor::SetConcatAxis</a></div><div class="ttdeci">void SetConcatAxis(unsigned int concatAxis)</div><div class="ttdoc">Set the concatenation axis value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00158">Descriptors.cpp:158</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4">armnn::ResizeMethod</a></div><div class="ttdeci">ResizeMethod</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00152">Types.hpp:152</a></div></div>
-<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml">armnn::MeanDescriptor</a></div><div class="ttdoc">A MeanDescriptor for the MeanLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01119">Descriptors.hpp:1119</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a1cfaa710db2a54673b21d2ea2da757c8"><div class="ttname"><a href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8">armnn::UnaryOperation</a></div><div class="ttdeci">UnaryOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00124">Types.hpp:124</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml_ad9574a414b3dcf582f8e02245df2222a"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#ad9574a414b3dcf582f8e02245df2222a">armnn::Convolution3dDescriptor::Convolution3dDescriptor</a></div><div class="ttdeci">Convolution3dDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00558">Descriptors.hpp:558</a></div></div>
-<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">armnn::LstmDescriptor::m_LayerNormEnabled</a></div><div class="ttdeci">bool m_LayerNormEnabled</div><div class="ttdoc">Enable/disable layer normalization. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01099">Descriptors.hpp:1099</a></div></div>
-<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::TransposeConvolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01418">Descriptors.hpp:1418</a></div></div>
-<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a></div><div class="ttdoc">A TransposeDescriptor for the TransposeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01437">Descriptors.hpp:1437</a></div></div>
-<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml">armnn::StridedSliceDescriptor</a></div><div class="ttdoc">A StridedSliceDescriptor for the StridedSliceLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01250">Descriptors.hpp:1250</a></div></div>
-<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">armnn::ChannelShuffleDescriptor::m_Axis</a></div><div class="ttdeci">uint32_t m_Axis</div><div class="ttdoc">Axis to apply channel shuffle operation on. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01527">Descriptors.hpp:1527</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a></div></div>
-<div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_xhtml_a214c3636fdf0ea5bac8edb42d0e6c7f0"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">armnn::ArgMinMaxDescriptor::m_Axis</a></div><div class="ttdeci">int m_Axis</div><div class="ttdoc">Axis to reduce across the input tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00083">Descriptors.hpp:83</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0aa0ec87054b5e5b7847d0d8780a01a3d5"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0aa0ec87054b5e5b7847d0d8780a01a3d5">armnn::ReduceOperation::Sum</a></div></div>
-<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a7a2156ec7d9c012ce00bbcc6afcb9028"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028">armnn::DetectionPostProcessDescriptor::m_ScaleY</a></div><div class="ttdeci">float m_ScaleY</div><div class="ttdoc">Center size encoding scale y. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00729">Descriptors.hpp:729</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a733ae6b70d0bfa43433c3e7606992328"><div class="ttname"><a href="namespacearmnn.xhtml#a733ae6b70d0bfa43433c3e7606992328">armnn::CreateDescriptorForConcatenation</a></div><div class="ttdeci">OriginsDescriptor CreateDescriptorForConcatenation(TensorShapeIt first, TensorShapeIt last, unsigned int concatenationDimension)</div><div class="ttdoc">Convenience template to create an OriginsDescriptor to use when creating a ConcatLayer for performing...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00268">Descriptors.hpp:268</a></div></div>
-<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a4392dd6b4862cc9cf95ae8f1001ba592"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592">armnn::DetectionPostProcessDescriptor::m_NmsScoreThreshold</a></div><div class="ttdeci">float m_NmsScoreThreshold</div><div class="ttdoc">NMS score threshold. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00719">Descriptors.hpp:719</a></div></div>
-<div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_xhtml_a42d192541edb2334e194365b87423b5e"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a42d192541edb2334e194365b87423b5e">armnn::ArgMinMaxDescriptor::ArgMinMaxDescriptor</a></div><div class="ttdeci">ArgMinMaxDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00069">Descriptors.hpp:69</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pre_compiled_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.xhtml">armnn::PreCompiledDescriptor</a></div><div class="ttdoc">A PreCompiledDescriptor for the PreCompiledLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01314">Descriptors.hpp:1314</a></div></div>
-<div class="ttc" id="structarmnn_1_1_gather_descriptor_xhtml_a66ec23a1fc5e43a66c07e593f68e3188"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.xhtml#a66ec23a1fc5e43a66c07e593f68e3188">armnn::GatherDescriptor::GatherDescriptor</a></div><div class="ttdeci">GatherDescriptor(int32_t axis)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00918">Descriptors.hpp:918</a></div></div>
-<div class="ttc" id="_descriptors_fwd_8hpp_xhtml"><div class="ttname"><a href="_descriptors_fwd_8hpp.xhtml">DescriptorsFwd.hpp</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_ad605d1661fa0d8c7fea651d82fbe11c9ac65d2e51c610dd3853a3c777aa8bfe9d"><div class="ttname"><a href="namespacearmnn.xhtml#ad605d1661fa0d8c7fea651d82fbe11c9ac65d2e51c610dd3853a3c777aa8bfe9d">armnn::NormalizationAlgorithmMethod::LocalBrightness</a></div><div class="ttdoc">Krichevsky 2012: Local Brightness Normalization. </div></div>
-<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00339">Descriptors.hpp:339</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_abe18a5033f2ab9c0de82c676b48f5437a810f43f3996922151c39b76143faeecc"><div class="ttname"><a href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437a810f43f3996922151c39b76143faeecc">armnn::NormalizationAlgorithmChannel::Across</a></div></div>
-<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00737">Descriptors.hpp:737</a></div></div>
-<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml_afb634876abc8d09178cf2af0f2ca984d"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#afb634876abc8d09178cf2af0f2ca984d">armnn::StandInDescriptor::StandInDescriptor</a></div><div class="ttdeci">StandInDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01230">Descriptors.hpp:1230</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Pooling3dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00461">Descriptors.hpp:461</a></div></div>
-<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::ResizeDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00961">Descriptors.hpp:961</a></div></div>
-<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml">armnn::DetectionPostProcessDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00681">Descriptors.hpp:681</a></div></div>
-<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml">armnn::InstanceNormalizationDescriptor</a></div><div class="ttdoc">An InstanceNormalizationDescriptor for InstanceNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00815">Descriptors.hpp:815</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling3d_descriptor_xhtml_a8c29d6ea9b4186d69aad5961c910939c"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">armnn::Pooling3dDescriptor::m_PaddingMethod</a></div><div class="ttdeci">PaddingMethod m_PaddingMethod</div><div class="ttdoc">The padding method to be used. (Exclude, IgnoreValue). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00469">Descriptors.hpp:469</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_ad605d1661fa0d8c7fea651d82fbe11c9"><div class="ttname"><a href="namespacearmnn.xhtml#ad605d1661fa0d8c7fea651d82fbe11c9">armnn::NormalizationAlgorithmMethod</a></div><div class="ttdeci">NormalizationAlgorithmMethod</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00199">Types.hpp:199</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">armnn::PaddingMode::Constant</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pre_compiled_descriptor_xhtml_a19244e2574820c8ab69b1559d8638a61"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a19244e2574820c8ab69b1559d8638a61">armnn::PreCompiledDescriptor::m_NumOutputSlots</a></div><div class="ttdeci">unsigned int m_NumOutputSlots</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01323">Descriptors.hpp:1323</a></div></div>
-<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">armnn::ChannelShuffleDescriptor</a></div><div class="ttdoc">A ChannelShuffleDescriptor for the ChannelShuffle operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01509">Descriptors.hpp:1509</a></div></div>
-<div class="ttc" id="structarmnn_1_1_gather_descriptor_xhtml_acb329a5b427a3799f5e5c12f369a5fd5"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.xhtml#acb329a5b427a3799f5e5c12f369a5fd5">armnn::GatherDescriptor::GatherDescriptor</a></div><div class="ttdeci">GatherDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00914">Descriptors.hpp:914</a></div></div>
-<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml_ac6edc657f681c74f48d0ce16b26d2e49"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#ac6edc657f681c74f48d0ce16b26d2e49">armnn::StackDescriptor::StackDescriptor</a></div><div class="ttdeci">StackDescriptor(uint32_t axis, uint32_t numInputs, const TensorShape &amp;inputShape)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01206">Descriptors.hpp:1206</a></div></div>
-<div class="ttc" id="structarmnn_1_1_reshape_descriptor_xhtml_a167ba78098e8fdf1e3d467c8ac5bd57c"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml#a167ba78098e8fdf1e3d467c8ac5bd57c">armnn::ReshapeDescriptor::ReshapeDescriptor</a></div><div class="ttdeci">ReshapeDescriptor(const TensorShape &amp;shape)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00976">Descriptors.hpp:976</a></div></div>
-<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_a0477ee1b44ace6090119178eea78cb0b"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b">armnn::QLstmDescriptor::m_CellIntermediateScale</a></div><div class="ttdeci">float m_CellIntermediateScale</div><div class="ttdoc">Cell intermediate quantization scale. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01377">Descriptors.hpp:1377</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">armnn::DataLayout::NDHWC</a></div></div>
-<div class="ttc" id="structarmnn_1_1_logical_binary_descriptor_xhtml_a31b09a0610040e8609c945c5adfaaee2"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.xhtml#a31b09a0610040e8609c945c5adfaaee2">armnn::LogicalBinaryDescriptor::LogicalBinaryDescriptor</a></div><div class="ttdeci">LogicalBinaryDescriptor(LogicalBinaryOperation operation)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01471">Descriptors.hpp:1471</a></div></div>
-<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_ac5c408724c832bc1f75bad758fe2b7da"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ac5c408724c832bc1f75bad758fe2b7da">armnn::DetectionPostProcessDescriptor::DetectionPostProcessDescriptor</a></div><div class="ttdeci">DetectionPostProcessDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00683">Descriptors.hpp:683</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml_a16543bce17aa2e4d6e81c88f74227192"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a16543bce17aa2e4d6e81c88f74227192">armnn::Convolution3dDescriptor::m_DilationZ</a></div><div class="ttdeci">uint32_t m_DilationZ</div><div class="ttdoc">Dilation along z axis. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00619">Descriptors.hpp:619</a></div></div>
-<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00063">Descriptors.hpp:63</a></div></div>
-<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00157">Descriptors.hpp:157</a></div></div>
-<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">armnn::NormalizationDescriptor::m_Beta</a></div><div class="ttdeci">float m_Beta</div><div class="ttdoc">Beta value for the normalization equation. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00769">Descriptors.hpp:769</a></div></div>
-<div class="ttc" id="structarmnn_1_1_fake_quantization_descriptor_xhtml_ad3729c591f7bfda7ad9ef9927d8a1bd6"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml#ad3729c591f7bfda7ad9ef9927d8a1bd6">armnn::FakeQuantizationDescriptor::m_Max</a></div><div class="ttdeci">float m_Max</div><div class="ttdoc">Maximum value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00889">Descriptors.hpp:889</a></div></div>
-<div class="ttc" id="structarmnn_1_1_base_descriptor_xhtml_ac618666b3c6d65d2c88bcbb7abeed343"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.xhtml#ac618666b3c6d65d2c88bcbb7abeed343">armnn::BaseDescriptor::IsNull</a></div><div class="ttdeci">virtual bool IsNull() const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00024">Descriptors.hpp:24</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml_a5164336f6a1b15be0d434a6bbf7289da"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">armnn::Convolution3dDescriptor::m_StrideZ</a></div><div class="ttdeci">uint32_t m_StrideZ</div><div class="ttdoc">Stride value when proceeding through input for the depth dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00613">Descriptors.hpp:613</a></div></div>
-<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml_a7174d76ab2205127ef4c2255c7169c5b"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#a7174d76ab2205127ef4c2255c7169c5b">armnn::StackDescriptor::StackDescriptor</a></div><div class="ttdeci">StackDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01200">Descriptors.hpp:1200</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a6280b6dbb53caebf325b450a52dc53f9"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6280b6dbb53caebf325b450a52dc53f9">armnn::BatchToSpaceNdDescriptor::BatchToSpaceNdDescriptor</a></div><div class="ttdeci">BatchToSpaceNdDescriptor(std::vector&lt; unsigned int &gt; blockShape, std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt;&gt; crops)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00851">Descriptors.hpp:851</a></div></div>
-<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::QLstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable CIFG (coupled input &amp; forget gate). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01365">Descriptors.hpp:1365</a></div></div>
-<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::TransposeDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01461">Descriptors.hpp:1461</a></div></div>
-<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_aa70c05f1aad12fbd9d9ec43ea4557b03"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#aa70c05f1aad12fbd9d9ec43ea4557b03">armnn::NormalizationDescriptor::m_NormSize</a></div><div class="ttdeci">uint32_t m_NormSize</div><div class="ttdoc">Depth radius value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00765">Descriptors.hpp:765</a></div></div>
-<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00059">Descriptors.hpp:59</a></div></div>
-<div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_xhtml_abce784834696eb928c620f1fafe71a8d"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml#abce784834696eb928c620f1fafe71a8d">armnn::ArgMinMaxDescriptor::m_Output_Type</a></div><div class="ttdeci">armnn::DataType m_Output_Type</div><div class="ttdoc">Deprecated and will be removed in future release. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00085">Descriptors.hpp:85</a></div></div>
-<div class="ttc" id="structarmnn_1_1_fill_descriptor_xhtml_ab424db19258eeff7f27ff87e9b74bf5e"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.xhtml#ab424db19258eeff7f27ff87e9b74bf5e">armnn::FillDescriptor::FillDescriptor</a></div><div class="ttdeci">FillDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00895">Descriptors.hpp:895</a></div></div>
-<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Pooling2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00389">Descriptors.hpp:389</a></div></div>
-<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00627">Descriptors.hpp:627</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">armnn::Convolution3dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation along y axis. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00617">Descriptors.hpp:617</a></div></div>
-<div class="ttc" id="structarmnn_1_1_fill_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.xhtml">armnn::FillDescriptor</a></div><div class="ttdoc">A FillDescriptor for the FillLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00893">Descriptors.hpp:893</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00796">Descriptors.hpp:796</a></div></div>
-<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Convolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00534">Descriptors.hpp:534</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00086">Types.hpp:86</a></div></div>
-<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml_a2b125117aa61f9baf3a9cb8658aa61a2"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">armnn::OriginsDescriptor::SetViewOriginCoord</a></div><div class="ttdeci">Status SetViewOriginCoord(uint32_t view, uint32_t coord, uint32_t value)</div><div class="ttdoc">Set the view origin coordinates. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00167">Descriptors.cpp:167</a></div></div>
-<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div>
-<div class="ttc" id="structarmnn_1_1_reduce_descriptor_xhtml_a0b39804ec2fae491cb0b4fcaba681e4c"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml#a0b39804ec2fae491cb0b4fcaba681e4c">armnn::ReduceDescriptor::ReduceDescriptor</a></div><div class="ttdeci">ReduceDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01487">Descriptors.hpp:1487</a></div></div>
-<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00129">Descriptors.hpp:129</a></div></div>
-<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::DepthwiseConvolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00662">Descriptors.hpp:662</a></div></div>
-<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_a4556cbd764d4848d8ad0637a9eed580d"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d">armnn::QLstmDescriptor::m_HiddenStateZeroPoint</a></div><div class="ttdeci">int32_t m_HiddenStateZeroPoint</div><div class="ttdoc">Hidden State zero point. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01381">Descriptors.hpp:1381</a></div></div>
-<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_aa43409f9b457352c95c89f20ce5d844d"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d">armnn::LstmDescriptor::m_OutputIntermediateScale</a></div><div class="ttdeci">float m_OutputIntermediateScale</div><div class="ttdoc">Output intermediate quantization scale. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01109">Descriptors.hpp:1109</a></div></div>
-<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml_a2d3dcfc10f90adedc995b64211dab6e9"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#a2d3dcfc10f90adedc995b64211dab6e9">armnn::FullyConnectedDescriptor::m_ConstantWeights</a></div><div class="ttdeci">bool m_ConstantWeights</div><div class="ttdoc">Enable/disable constant weights and biases. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00498">Descriptors.hpp:498</a></div></div>
-<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_xhtml_aefba12eed94174fb6eaeb78b6eaf7e59"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml#aefba12eed94174fb6eaeb78b6eaf7e59">armnn::BatchNormalizationDescriptor::BatchNormalizationDescriptor</a></div><div class="ttdeci">BatchNormalizationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00798">Descriptors.hpp:798</a></div></div>
+<a href="_descriptors_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div>
+<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017,2022 Arm Ltd and Contributors. All rights reserved.</span></div>
+<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
+<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="preprocessor">#pragma once</span></div>
+<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160; </div>
+<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_deprecated_8hpp.xhtml">Deprecated.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_descriptors_fwd_8hpp.xhtml">DescriptorsFwd.hpp</a>&quot;</span> <span class="comment">// Required for class equivalence declarations.</span></div>
+<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_8hpp.xhtml">Tensor.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_types_8hpp.xhtml">Types.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_exceptions_8hpp.xhtml">armnn/Exceptions.hpp</a>&gt;</span></div>
+<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160; </div>
+<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;cstdint&gt;</span></div>
+<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;iterator&gt;</span></div>
+<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;utility&gt;</span></div>
+<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div>
+<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; </div>
+<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div>
+<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;{</div>
+<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment">/// Base class for all descriptors.</span></div>
+<div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="structarmnn_1_1_base_descriptor.xhtml"> 22</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;{</div>
+<div class="line"><a name="l00024"></a><span class="lineno"><a class="line" href="structarmnn_1_1_base_descriptor.xhtml#ac618666b3c6d65d2c88bcbb7abeed343"> 24</a></span>&#160; <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_base_descriptor.xhtml#ac618666b3c6d65d2c88bcbb7abeed343">IsNull</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <span class="keyword">false</span>; }</div>
+<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keyword">virtual</span> <a class="code" href="structarmnn_1_1_base_descriptor.xhtml#a5e0f82ef2f18eb897e6d6f1845e74033">~BaseDescriptor</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;};</div>
+<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="comment">/// Null Descriptor used as a return value from the IConnectableLayer GetParameters method</span></div>
+<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="comment">/// by layers which do not have a descriptor</span></div>
+<div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="structarmnn_1_1_null_descriptor.xhtml"> 30</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_null_descriptor.xhtml">NullDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;{</div>
+<div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="structarmnn_1_1_null_descriptor.xhtml#ad7c0bdb2b6e538d8f75596d8cdb633c6"> 32</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_null_descriptor.xhtml#ad7c0bdb2b6e538d8f75596d8cdb633c6">IsNull</a>()<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div>
+<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;};</div>
+<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="comment">/// An ActivationDescriptor for the ActivationLayer.</span></div>
+<div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml"> 36</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;{</div>
+<div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#a6c7517bc11f580a0a443940bc5f81775"> 38</a></span>&#160; <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a6c7517bc11f580a0a443940bc5f81775">ActivationDescriptor</a>()</div>
+<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; : <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>(<a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationFunction</a>::<a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">Sigmoid</a>)</div>
+<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; , <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a>(0)</div>
+<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; , <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a>(0)</div>
+<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; {}</div>
+<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; </div>
+<div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#af045269be0c755dbf3c3b8c4d71a88af"> 44</a></span>&#160; <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af045269be0c755dbf3c3b8c4d71a88af">ActivationDescriptor</a>(<a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> activation,</div>
+<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keywordtype">float</span> a = 0,</div>
+<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keywordtype">float</span> b = 0)</div>
+<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; : <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>(activation)</div>
+<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; , <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a>(a)</div>
+<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; , <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a>(b)</div>
+<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; {}</div>
+<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; </div>
+<div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454"> 52</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> &amp;rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> == rhs.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> &amp;&amp; <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> == rhs.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> &amp;&amp; <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> == rhs.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a>;</div>
+<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; }</div>
+<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="comment"> /// @brief The activation function to use</span></div>
+<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="comment"> /// (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu).</span></div>
+<div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844"> 59</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationFunction</a> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;<span class="comment"> /// Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu).</span></div>
+<div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689"> 61</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<span class="comment"> /// Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH).</span></div>
+<div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b"> 63</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a>;</div>
+<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;};</div>
+<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;<span class="comment">/// An ArgMinMaxDescriptor for ArgMinMaxLayer</span></div>
+<div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml"> 67</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;{</div>
+<div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a42d192541edb2334e194365b87423b5e"> 69</a></span>&#160; <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a42d192541edb2334e194365b87423b5e">ArgMinMaxDescriptor</a>()</div>
+<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; : <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#ab1ae6f520bb1a4da191a0ae907477f23">m_Function</a>(<a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeae">ArgMinMaxFunction</a>::<a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">Min</a>)</div>
+<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; , <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>(-1)</div>
+<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; , <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#abce784834696eb928c620f1fafe71a8d">m_Output_Type</a>(<a class="code" href="namespacearmnn.xhtml">armnn</a>::<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">Signed32</a>)</div>
+<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; {}</div>
+<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; </div>
+<div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a775f60182b6abb1a21c5fb94578eb8db"> 75</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a775f60182b6abb1a21c5fb94578eb8db">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a> &amp;rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#ab1ae6f520bb1a4da191a0ae907477f23">m_Function</a> == rhs.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#ab1ae6f520bb1a4da191a0ae907477f23">m_Function</a> &amp;&amp; <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a> == rhs.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a> &amp;&amp; <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#abce784834696eb928c620f1fafe71a8d">m_Output_Type</a> == rhs.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#abce784834696eb928c620f1fafe71a8d">m_Output_Type</a>;</div>
+<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; }</div>
+<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;<span class="comment"> /// Specify if the function is to find Min or Max.</span></div>
+<div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#ab1ae6f520bb1a4da191a0ae907477f23"> 81</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeae">ArgMinMaxFunction</a> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#ab1ae6f520bb1a4da191a0ae907477f23">m_Function</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;<span class="comment"> /// Axis to reduce across the input tensor.</span></div>
+<div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0"> 83</a></span>&#160;<span class="comment"></span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="comment"> /// Deprecated and will be removed in future release.</span></div>
+<div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#abce784834696eb928c620f1fafe71a8d"> 85</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#abce784834696eb928c620f1fafe71a8d">m_Output_Type</a>;</div>
+<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;};</div>
+<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;<span class="comment">/// A ComparisonDescriptor for the ComparisonLayer</span></div>
+<div class="line"><a name="l00089"></a><span class="lineno"><a class="line" href="structarmnn_1_1_comparison_descriptor.xhtml"> 89</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;{</div>
+<div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="structarmnn_1_1_comparison_descriptor.xhtml#abe82a976e89ae4dd12f3991c167ffed3"> 91</a></span>&#160; <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#abe82a976e89ae4dd12f3991c167ffed3">ComparisonDescriptor</a>()</div>
+<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; : <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a>(<a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58c">ComparisonOperation</a>::<a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5">Equal</a>)</div>
+<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; {}</div>
+<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; </div>
+<div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="structarmnn_1_1_comparison_descriptor.xhtml#abc1707b90d0ceb3594945256af70c839"> 95</a></span>&#160; <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#abc1707b90d0ceb3594945256af70c839">ComparisonDescriptor</a>(<a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58c">ComparisonOperation</a> operation)</div>
+<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; : <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">m_Operation</a>(operation)</div>
+<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; {}</div>
+<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; </div>
+<div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="structarmnn_1_1_comparison_descriptor.xhtml#a9a22f5f1ccbe51f97fb42a5fbbe12774"> 99</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#a9a22f5f1ccbe51f97fb42a5fbbe12774">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a> &amp;rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">m_Operation</a> == rhs.<a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">m_Operation</a>;</div>
+<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; }</div>
+<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;<span class="comment"> /// Specifies the comparison operation to execute</span></div>
+<div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1"> 105</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58c">ComparisonOperation</a> <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">m_Operation</a>;</div>
+<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;};</div>
+<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;<span class="comment">/// A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer</span></div>
+<div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml"> 109</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;{</div>
+<div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a3f8539a92fa960a194527b03c2183172"> 111</a></span>&#160; <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a3f8539a92fa960a194527b03c2183172">ElementwiseUnaryDescriptor</a>()</div>
+<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; : <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a>(<a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8">UnaryOperation</a>::<a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">Abs</a>)</div>
+<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; {}</div>
+<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; </div>
+<div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a6b7d869ff464fce01745b97f89cc1a02"> 115</a></span>&#160; <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a6b7d869ff464fce01745b97f89cc1a02">ElementwiseUnaryDescriptor</a>(<a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8">UnaryOperation</a> operation)</div>
+<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; : <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">m_Operation</a>(operation)</div>
+<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; {}</div>
+<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; </div>
+<div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a58aa3857edb8d4addbbb44510147bb59"> 119</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a58aa3857edb8d4addbbb44510147bb59">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a> &amp;rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">m_Operation</a> == rhs.<a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">m_Operation</a>;</div>
+<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; }</div>
+<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;<span class="comment"> /// Specifies the elementwiseUnary operation to execute</span></div>
+<div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23"> 125</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8">UnaryOperation</a> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">m_Operation</a>;</div>
+<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;};</div>
+<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160;<span class="comment">/// A PermuteDescriptor for the PermuteLayer.</span></div>
+<div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="structarmnn_1_1_permute_descriptor.xhtml"> 129</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;{</div>
+<div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="structarmnn_1_1_permute_descriptor.xhtml#a89323bcff3f2fad728ddb0ba2673049f"> 131</a></span>&#160; <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a89323bcff3f2fad728ddb0ba2673049f">PermuteDescriptor</a>()</div>
+<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; : <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>{}</div>
+<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; {}</div>
+<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; </div>
+<div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="structarmnn_1_1_permute_descriptor.xhtml#abaafe52396509f67f8cde6578c75df01"> 135</a></span>&#160; <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#abaafe52396509f67f8cde6578c75df01">PermuteDescriptor</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">PermutationVector</a>&amp; dimMappings)</div>
+<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; : <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>(dimMappings)</div>
+<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; {}</div>
+<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; </div>
+<div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="structarmnn_1_1_permute_descriptor.xhtml#a515ce4ad34d652a553e685ff9abecb33"> 139</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a515ce4ad34d652a553e685ff9abecb33">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a> &amp;rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>.<a class="code" href="classarmnn_1_1_permutation_vector.xhtml#aae44e4154aa80fba7616747450ff69d5">IsEqual</a>(rhs.<a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>);</div>
+<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; }</div>
+<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;<span class="comment"> /// @brief Indicates how to translate tensor elements from a given source into the target destination, when</span></div>
+<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;<span class="comment"> /// source and target potentially have different memory layouts e.g.</span></div>
+<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;<span class="comment"> /// Input Shape {1, 1, 4, 4}</span></div>
+<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;<span class="comment"> /// Permutation Vector {0, 2, 3, 1}</span></div>
+<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160;<span class="comment"> /// Output Shape {1, 4, 1, 4}</span></div>
+<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;<span class="comment"> /// dim &quot;0&quot; goes into index 0 ([ 1, X, X, X ])</span></div>
+<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;<span class="comment"> /// dim &quot;1&quot; goes into index 2 ([ 1, X, 1, X ])</span></div>
+<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;<span class="comment"> /// dim &quot;2&quot; goes into index 3 ([ 1, X, 1, 4 ])</span></div>
+<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;<span class="comment"> /// dim &quot;3&quot; goes into index 1 ([ 1, 4, 1, 4 ])</span></div>
+<div class="line"><a name="l00153"></a><span class="lineno"><a class="line" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f"> 153</a></span>&#160;<span class="comment"></span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">PermutationVector</a> <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>;</div>
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+<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; : <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>(1.0f)</div>
+<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; , <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>(-1)</div>
+<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; {}</div>
+<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; </div>
+<div class="line"><a name="l00164"></a><span class="lineno"><a class="line" href="structarmnn_1_1_softmax_descriptor.xhtml#a3b7fdc72f23079437110c764f0533af5"> 164</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a3b7fdc72f23079437110c764f0533af5">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a> == rhs.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a> &amp;&amp; <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a> == rhs.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>;</div>
+<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; }</div>
+<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;<span class="comment"> /// Exponentiation value.</span></div>
+<div class="line"><a name="l00170"></a><span class="lineno"><a class="line" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5"> 170</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;<span class="comment"> /// Scalar, defaulted to the last index (-1), specifying the dimension the activation will be performed on.</span></div>
+<div class="line"><a name="l00172"></a><span class="lineno"><a class="line" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0"> 172</a></span>&#160;<span class="comment"></span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>;</div>
+<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160;};</div>
+<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;<span class="comment">/// A LogSoftmaxDescriptor for the LogSoftmaxLayer</span></div>
+<div class="line"><a name="l00176"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ac14705405cbcdd580df613de6766fe65"> 176</a></span>&#160;<span class="comment"></span><span class="keyword">using</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">LogSoftmaxDescriptor</a> = <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a>;</div>
+<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160;<span class="comment">/// @brief An OriginsDescriptor for the ConcatLayer.</span></div>
+<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;<span class="comment">/// Descriptor to configure the concatenation process. Number of views must be equal to the number of inputs, and</span></div>
+<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160;<span class="comment">/// their order must match - e.g. first view corresponds to the first input, second view to the second input, etc.</span></div>
+<div class="line"><a name="l00181"></a><span class="lineno"><a class="line" href="structarmnn_1_1_origins_descriptor.xhtml"> 181</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160;{</div>
+<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a5a41cf9db1648399ac8c226101daf066">OriginsDescriptor</a>();</div>
+<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a5a41cf9db1648399ac8c226101daf066">OriginsDescriptor</a>(uint32_t numViews, uint32_t numDimensions = 4);</div>
+<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a5a41cf9db1648399ac8c226101daf066">OriginsDescriptor</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>&amp; other);</div>
+<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a5a41cf9db1648399ac8c226101daf066">OriginsDescriptor</a>(<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>&amp;&amp; other);</div>
+<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; </div>
+<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#aa507c5561373dbd58e149611a7f46470">~OriginsDescriptor</a>();</div>
+<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; </div>
+<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>&amp; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#af714290740c651092629e45cf692fc1a">operator=</a>(<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> rhs);</div>
+<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; </div>
+<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a1efc8be2c15fe67917c60041dc926701">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>&amp; rhs) <span class="keyword">const</span>;</div>
+<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;<span class="comment"> /// @Brief Set the view origin coordinates. The arguments are: view, dimension, value.</span></div>
+<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;<span class="comment"> /// If the view is greater than or equal to GetNumViews(), then the view argument is out of range.</span></div>
+<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160;<span class="comment"> /// If the coord is greater than or equal to GetNumDimensions(), then the coord argument is out of range.</span></div>
+<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(uint32_t view, uint32_t coord, uint32_t value);<span class="comment"></span></div>
+<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160;<span class="comment"> /// Get the number of views.</span></div>
+<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>() <span class="keyword">const</span>;<span class="comment"></span></div>
+<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160;<span class="comment"> /// Get the number of dimensions.</span></div>
+<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>() <span class="keyword">const</span>;<span class="comment"></span></div>
+<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160;<span class="comment"> /// Return the view origin at the int value idx.</span></div>
+<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;<span class="comment"></span> <span class="keyword">const</span> uint32_t* <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#ab78e6fe963508c1ac5c00d04bb3361a3">GetViewOrigin</a>(uint32_t idx) <span class="keyword">const</span>;<span class="comment"></span></div>
+<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160;<span class="comment"> /// @brief Reorders the viewOrigins in accordance with the indices presented in newOrdering array.</span></div>
+<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160;<span class="comment"> /// The number of views must match number of elements in the new ordering array.</span></div>
+<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160;<span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#aae1f4844cfb511b5b3a25c6761483624">ReorderOrigins</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>* newOrdering, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numNewOrdering);<span class="comment"></span></div>
+<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160;<span class="comment"> /// Swap the ViewsDescriptor values first and second.</span></div>
+<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160;<span class="comment"></span> <span class="keyword">friend</span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a0c0e7d9253dee85be237536cf1d7b0ac">swap</a>(<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>&amp; first, <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>&amp; second);<span class="comment"></span></div>
+<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160;<span class="comment"> /// Set the concatenation axis value.</span></div>
+<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160;<span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a5b192c5fcd96a0f75542524cf646b355">SetConcatAxis</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> concatAxis);<span class="comment"></span></div>
+<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160;<span class="comment"> /// Get the concatenation axis value.</span></div>
+<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160;<span class="comment"></span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a379929e3b277f1ef94f3ce645870589d">GetConcatAxis</a>() <span class="keyword">const</span>;</div>
+<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; </div>
+<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160;<span class="keyword">private</span>:</div>
+<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_ConcatAxis;</div>
+<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; uint32_t m_NumViews;</div>
+<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; uint32_t m_NumDimensions;</div>
+<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; uint32_t** m_ViewOrigins;</div>
+<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160;};</div>
+<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160;<span class="comment">/// @brief A ViewsDescriptor for the SplitterLayer.</span></div>
+<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160;<span class="comment">/// Descriptor to configure the splitting process. Number of Views must be equal to the number of outputs, and</span></div>
+<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160;<span class="comment">/// their order must match - e.g. first view corresponds to the first output, second view to the second output, etc.</span></div>
+<div class="line"><a name="l00224"></a><span class="lineno"><a class="line" href="structarmnn_1_1_views_descriptor.xhtml"> 224</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160;{</div>
+<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; <a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a3076393f5568657d04520f900e413dcb">ViewsDescriptor</a>(uint32_t numViews, uint32_t numDimensions = 4);</div>
+<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a3076393f5568657d04520f900e413dcb">ViewsDescriptor</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>&amp; other);</div>
+<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; <a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a3076393f5568657d04520f900e413dcb">ViewsDescriptor</a>();</div>
+<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; <a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a3076393f5568657d04520f900e413dcb">ViewsDescriptor</a>(<a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>&amp;&amp; other);</div>
+<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; </div>
+<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; <a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a6316c5537fc3d9e8e71bf0541c6044d9">~ViewsDescriptor</a>();</div>
+<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; </div>
+<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>&amp; <a class="code" href="structarmnn_1_1_views_descriptor.xhtml#aee83273c36d9506ce40c904a93c6ab8b">operator=</a>(<a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a> rhs);</div>
+<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; </div>
+<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a85dcac1ac31524ea0f9d16a0a939bd75">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>&amp; rhs) <span class="keyword">const</span>;</div>
+<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160;<span class="comment"> /// @Brief Set the view origin coordinates. The arguments are: view, dimension, value.</span></div>
+<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160;<span class="comment"> /// If the view is greater than or equal to GetNumViews(), then the view argument is out of range.</span></div>
+<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160;<span class="comment"> /// If the coord is greater than or equal to GetNumDimensions(), then the coord argument is out of range.</span></div>
+<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(uint32_t view, uint32_t coord, uint32_t value);<span class="comment"></span></div>
+<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;<span class="comment"> /// @brief Set the size of the views. The arguments are: view, dimension, value.</span></div>
+<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;<span class="comment"> /// If the view is greater than or equal to GetNumViews(), then the view argument is out of range.</span></div>
+<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160;<span class="comment"> /// If the coord is greater than or equal to GetNumDimensions(), then the coord argument is out of range.</span></div>
+<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml#aae0893695f5803a3517985c7cb1ccb2e">SetViewSize</a>(uint32_t view, uint32_t coord, uint32_t value);</div>
+<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160;<span class="comment"> /// Get the number of views.</span></div>
+<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>() <span class="keyword">const</span>;<span class="comment"></span></div>
+<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160;<span class="comment"> /// Get the number of dimensions.</span></div>
+<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>() <span class="keyword">const</span>;<span class="comment"></span></div>
+<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160;<span class="comment"> /// Get the view origin at the int value idx.</span></div>
+<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160;<span class="comment"></span> <span class="keyword">const</span> uint32_t* <a class="code" href="structarmnn_1_1_views_descriptor.xhtml#ab78e6fe963508c1ac5c00d04bb3361a3">GetViewOrigin</a>(uint32_t idx) <span class="keyword">const</span>;<span class="comment"></span></div>
+<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160;<span class="comment"> /// Get the view sizes at the int value idx.</span></div>
+<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160;<span class="comment"></span> <span class="keyword">const</span> uint32_t* <a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a3c1ab47a0a319413b3a4b5757ed5b80b">GetViewSizes</a>(uint32_t idx) <span class="keyword">const</span>;<span class="comment"></span></div>
+<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160;<span class="comment"> /// Get the View Origins</span></div>
+<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160;<span class="comment"></span> <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>&amp; <a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a88d7c8ef4baba3690a4d25eec350ecb3">GetOrigins</a>() <span class="keyword">const</span>;</div>
+<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160;<span class="comment"> /// Swap the ViewsDescriptor value first and second.</span></div>
+<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160;<span class="comment"></span> <span class="keyword">friend</span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a6ab1c51c46d6587c0eaa2a1674b2b48c">swap</a>(<a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>&amp; first, <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>&amp; second);</div>
+<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160;<span class="keyword">private</span>:</div>
+<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> m_Origins;</div>
+<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; uint32_t** m_ViewSizes;</div>
+<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160;};</div>
+<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; </div>
+<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160;<span class="comment">/// @brief Convenience template to create an OriginsDescriptor to use when creating a ConcatLayer for performing</span></div>
+<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160;<span class="comment">/// concatenation of a number of input tensors.</span></div>
+<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160;<span class="comment"></span><span class="keyword">template</span> &lt;<span class="keyword">typename</span> TensorShapeIt&gt;</div>
+<div class="line"><a name="l00268"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a733ae6b70d0bfa43433c3e7606992328"> 268</a></span>&#160;<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> <a class="code" href="namespacearmnn.xhtml#a733ae6b70d0bfa43433c3e7606992328">CreateDescriptorForConcatenation</a>(TensorShapeIt first,</div>
+<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; TensorShapeIt last,</div>
+<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> concatenationDimension)</div>
+<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160;{</div>
+<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; <span class="keyword">auto</span> numInputs = std::distance(first, last);</div>
+<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; </div>
+<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keywordflow">if</span> (numInputs &lt; 2)</div>
+<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; {</div>
+<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">&quot;Concatenation requires at least 2 inputs&quot;</span>);</div>
+<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; }</div>
+<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; </div>
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+<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions = firstInputShape.GetNumDimensions();</div>
+<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = first + 1; it != last; ++it)</div>
+<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; {</div>
+<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; <span class="keywordflow">if</span> (it-&gt;GetNumDimensions() != numDimensions)</div>
+<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; {</div>
+<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">&quot;All inputs to concatenation must have the same number of dimensions&quot;</span>);</div>
+<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; }</div>
+<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; }</div>
+<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; </div>
+<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; <span class="keywordflow">if</span> (concatenationDimension &gt;= numDimensions)</div>
+<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; {</div>
+<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">&quot;concatenationDimension must be between 0 and the number of dimensions.&quot;</span>);</div>
+<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; }</div>
+<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; </div>
+<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = first; it != last; ++it)</div>
+<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; {</div>
+<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d &lt; numDimensions; ++d)</div>
+<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; {</div>
+<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> dimSizeOk = (d == concatenationDimension) || (firstInputShape[d] == (*it)[d]);</div>
+<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; <span class="keywordflow">if</span> (!dimSizeOk)</div>
+<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; {</div>
+<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">&quot;All inputs to concatenation must be the same size along all dimensions &quot;</span></div>
+<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; <span class="stringliteral">&quot; except the concatenation dimension&quot;</span>);</div>
+<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; }</div>
+<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; }</div>
+<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; }</div>
+<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; </div>
+<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> viewsDescriptor(<span class="keyword">static_cast&lt;</span>uint32_t<span class="keyword">&gt;</span>(numInputs), numDimensions);</div>
+<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; viewsDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a5b192c5fcd96a0f75542524cf646b355">SetConcatAxis</a>(concatenationDimension);</div>
+<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; </div>
+<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; uint32_t viewIndex = 0u;</div>
+<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; uint32_t coordAlongConcatDim = 0u;</div>
+<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = first; it != last; ++it)</div>
+<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; {</div>
+<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span>&amp; inputShape = *it;</div>
+<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; </div>
+<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; concatenationDimension; ++i)</div>
+<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; {</div>
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+<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimSize = inputShape[concatenationDimension];</div>
+<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; coordAlongConcatDim += dimSize;</div>
+<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; </div>
+<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; </div>
+<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = concatenationDimension + 1; i &lt; numDimensions; ++i)</div>
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+<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; }</div>
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+<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; }</div>
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+<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160;}</div>
+<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160;<span class="comment">/// A Pooling2dDescriptor for the Pooling2dLayer.</span></div>
+<div class="line"><a name="l00339"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml"> 339</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
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+<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> &amp;&amp;</div>
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+<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a> == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a> &amp;&amp;</div>
+<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a> == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a> &amp;&amp;</div>
+<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> &amp;&amp;</div>
+<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> &amp;&amp;</div>
+<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a> == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a> &amp;&amp;</div>
+<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">m_PaddingMethod</a> == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">m_PaddingMethod</a> &amp;&amp;</div>
+<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
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+<div class="line"><a name="l00373"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a"> 373</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">PoolingAlgorithm</a> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">m_PoolType</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160;<span class="comment"> /// Padding left value in the width dimension.</span></div>
+<div class="line"><a name="l00375"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600"> 375</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160;<span class="comment"> /// Padding right value in the width dimension.</span></div>
+<div class="line"><a name="l00377"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7"> 377</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160;<span class="comment"> /// Padding top value in the height dimension.</span></div>
+<div class="line"><a name="l00379"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046"> 379</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160;<span class="comment"> /// Padding bottom value in the height dimension.</span></div>
+<div class="line"><a name="l00381"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618"> 381</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160;<span class="comment"> /// Pooling width value.</span></div>
+<div class="line"><a name="l00383"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86"> 383</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160;<span class="comment"> /// Pooling height value.</span></div>
+<div class="line"><a name="l00385"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010"> 385</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the width dimension.</span></div>
+<div class="line"><a name="l00387"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda"> 387</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the height dimension.</span></div>
+<div class="line"><a name="l00389"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8"> 389</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160;<span class="comment"> /// The rounding method for the output shape. (Floor, Ceiling).</span></div>
+<div class="line"><a name="l00391"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962"> 391</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754e">OutputShapeRounding</a> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160;<span class="comment"> /// The padding method to be used. (Exclude, IgnoreValue).</span></div>
+<div class="line"><a name="l00393"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c"> 393</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2f">PaddingMethod</a> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">m_PaddingMethod</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div>
+<div class="line"><a name="l00395"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 395</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
+<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160;};</div>
+<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160;<span class="comment">/// A Pooling3dDescriptor for the Pooling3dLayer.</span></div>
+<div class="line"><a name="l00399"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml"> 399</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml">Pooling3dDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160;{</div>
+<div class="line"><a name="l00401"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a9aa1f2c8dd9402d6797779d7e4768e48"> 401</a></span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a9aa1f2c8dd9402d6797779d7e4768e48">Pooling3dDescriptor</a>()</div>
+<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160; : <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">m_PoolType</a>(<a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">PoolingAlgorithm</a>::<a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">Max</a>)</div>
+<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; , <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>(0)</div>
+<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160; , <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>(0)</div>
+<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; , <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>(0)</div>
+<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; , <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>(0)</div>
+<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; , <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a>(0)</div>
+<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; , <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a>(0)</div>
+<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; , <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a>(0)</div>
+<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; , <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a>(0)</div>
+<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; , <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#acc978b36fd5d949bc781d7638e6e08b9">m_PoolDepth</a>(0)</div>
+<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; , <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>(0)</div>
+<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; , <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>(0)</div>
+<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; , <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a>(0)</div>
+<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; , <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a>(<a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754e">OutputShapeRounding</a>::<a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">Floor</a>)</div>
+<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; , <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">m_PaddingMethod</a>(<a class="code" href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2f">PaddingMethod</a>::<a class="code" href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2fa843f2812f595e7ec7c5036e89fde02d6">Exclude</a>)</div>
+<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; , <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015">NCDHW</a>)</div>
+<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; {}</div>
+<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; </div>
+<div class="line"><a name="l00420"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#af94385df5f5b7de1466bb9357262d2ca"> 420</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#af94385df5f5b7de1466bb9357262d2ca">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml">Pooling3dDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">m_PoolType</a> == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">m_PoolType</a> &amp;&amp;</div>
+<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> &amp;&amp;</div>
+<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> &amp;&amp;</div>
+<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> &amp;&amp;</div>
+<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> &amp;&amp;</div>
+<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a> == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a> &amp;&amp;</div>
+<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a> == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a> &amp;&amp;</div>
+<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a> == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a> &amp;&amp;</div>
+<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a> == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a> &amp;&amp;</div>
+<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#acc978b36fd5d949bc781d7638e6e08b9">m_PoolDepth</a> == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#acc978b36fd5d949bc781d7638e6e08b9">m_PoolDepth</a> &amp;&amp;</div>
+<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> &amp;&amp;</div>
+<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> &amp;&amp;</div>
+<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a> == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a> &amp;&amp;</div>
+<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a> == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a> &amp;&amp;</div>
+<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">m_PaddingMethod</a> == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">m_PaddingMethod</a> &amp;&amp;</div>
+<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == rhs.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
+<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; }</div>
+<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160;<span class="comment"> /// The pooling algorithm to use (Max. Average, L2).</span></div>
+<div class="line"><a name="l00441"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a"> 441</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">PoolingAlgorithm</a> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">m_PoolType</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160;<span class="comment"> /// Padding left value in the width dimension.</span></div>
+<div class="line"><a name="l00443"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600"> 443</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160;<span class="comment"> /// Padding right value in the width dimension.</span></div>
+<div class="line"><a name="l00445"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7"> 445</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160;<span class="comment"> /// Padding top value in the height dimension.</span></div>
+<div class="line"><a name="l00447"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046"> 447</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160;<span class="comment"> /// Padding bottom value in the height dimension.</span></div>
+<div class="line"><a name="l00449"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618"> 449</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160;<span class="comment"> /// Padding front value in the depth dimension.</span></div>
+<div class="line"><a name="l00451"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61"> 451</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160;<span class="comment"> /// Padding back value in the depth dimension.</span></div>
+<div class="line"><a name="l00453"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb"> 453</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160;<span class="comment"> /// Pooling width value.</span></div>
+<div class="line"><a name="l00455"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86"> 455</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160;<span class="comment"> /// Pooling height value.</span></div>
+<div class="line"><a name="l00457"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010"> 457</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160;<span class="comment"> /// Pooling depth value.</span></div>
+<div class="line"><a name="l00459"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#acc978b36fd5d949bc781d7638e6e08b9"> 459</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#acc978b36fd5d949bc781d7638e6e08b9">m_PoolDepth</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the width dimension.</span></div>
+<div class="line"><a name="l00461"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda"> 461</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the height dimension.</span></div>
+<div class="line"><a name="l00463"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8"> 463</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the depth dimension.</span></div>
+<div class="line"><a name="l00465"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da"> 465</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160;<span class="comment"> /// The rounding method for the output shape. (Floor, Ceiling).</span></div>
+<div class="line"><a name="l00467"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962"> 467</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754e">OutputShapeRounding</a> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160;<span class="comment"> /// The padding method to be used. (Exclude, IgnoreValue).</span></div>
+<div class="line"><a name="l00469"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c"> 469</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2f">PaddingMethod</a> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">m_PaddingMethod</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160;<span class="comment"> /// The data layout to be used (NCDHW, NDHWC).</span></div>
+<div class="line"><a name="l00471"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 471</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
+<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160;};</div>
+<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160;<span class="comment">/// A FullyConnectedDescriptor for the FullyConnectedLayer.</span></div>
+<div class="line"><a name="l00475"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml"> 475</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160;{</div>
+<div class="line"><a name="l00477"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml#ab70cd7344da13580556ea1af358a8a8b"> 477</a></span>&#160; <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#ab70cd7344da13580556ea1af358a8a8b">FullyConnectedDescriptor</a>()</div>
+<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160; : <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>(false)</div>
+<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; , <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a>(false)</div>
+<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160; , <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a2d3dcfc10f90adedc995b64211dab6e9">m_ConstantWeights</a>(true)</div>
+<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; {}</div>
+<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160; </div>
+<div class="line"><a name="l00483"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a81499fc0c8844290c0f273b6c5e184a1"> 483</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a81499fc0c8844290c0f273b6c5e184a1">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> == rhs.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a></div>
+<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160; &amp;&amp; <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a> == rhs.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a></div>
+<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160; &amp;&amp; <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a2d3dcfc10f90adedc995b64211dab6e9">m_ConstantWeights</a> == rhs.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a2d3dcfc10f90adedc995b64211dab6e9">m_ConstantWeights</a>;</div>
+<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160; }</div>
+<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160;<span class="comment"> /// Get the number of inputs.</span></div>
+<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a62938964ffd34d5af3f2d56ca1183b18">GetNumInputs</a>() <span class="keyword">const</span>;</div>
+<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160;<span class="comment"> /// Enable/disable bias.</span></div>
+<div class="line"><a name="l00494"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25"> 494</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160;<span class="comment"> /// Enable/disable transpose weight matrix.</span></div>
+<div class="line"><a name="l00496"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a"> 496</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160;<span class="comment"> /// Enable/disable constant weights and biases.</span></div>
+<div class="line"><a name="l00498"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a2d3dcfc10f90adedc995b64211dab6e9"> 498</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a2d3dcfc10f90adedc995b64211dab6e9">m_ConstantWeights</a>;</div>
+<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160;};</div>
+<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160;<span class="comment">/// A Convolution2dDescriptor for the Convolution2dLayer.</span></div>
+<div class="line"><a name="l00502"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml"> 502</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160;{</div>
+<div class="line"><a name="l00504"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ab297e72fab7f2ebba2ffd05b11bfbf7a"> 504</a></span>&#160; <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ab297e72fab7f2ebba2ffd05b11bfbf7a">Convolution2dDescriptor</a>()</div>
+<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; : <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>(0)</div>
+<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160; , <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>(0)</div>
+<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160; , <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>(0)</div>
+<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160; , <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>(0)</div>
+<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160; , <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>(1)</div>
+<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160; , <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>(1)</div>
+<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160; , <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>(1)</div>
+<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; , <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>(1)</div>
+<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160; , <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>(false)</div>
+<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160; , <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div>
+<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>&#160; {}</div>
+<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160; </div>
+<div class="line"><a name="l00517"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a49fa05efa6154c44c7701b125afd802c"> 517</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a49fa05efa6154c44c7701b125afd802c">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> &amp;&amp;</div>
+<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160; <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> &amp;&amp;</div>
+<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160; <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> &amp;&amp;</div>
+<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160; <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> &amp;&amp;</div>
+<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>&#160; <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> &amp;&amp;</div>
+<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>&#160; <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> &amp;&amp;</div>
+<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>&#160; <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> &amp;&amp;</div>
+<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> &amp;&amp;</div>
+<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160; <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> &amp;&amp;</div>
+<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>&#160; <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
+<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160; }</div>
+<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>&#160; uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a62938964ffd34d5af3f2d56ca1183b18">GetNumInputs</a>() <span class="keyword">const</span>;</div>
+<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160; </div>
+<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160;<span class="comment"> /// Padding left value in the width dimension.</span></div>
+<div class="line"><a name="l00534"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600"> 534</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160;<span class="comment"> /// Padding right value in the width dimension.</span></div>
+<div class="line"><a name="l00536"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7"> 536</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160;<span class="comment"> /// Padding top value in the height dimension.</span></div>
+<div class="line"><a name="l00538"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046"> 538</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160;<span class="comment"> /// Padding bottom value in the height dimension.</span></div>
+<div class="line"><a name="l00540"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618"> 540</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the width dimension.</span></div>
+<div class="line"><a name="l00542"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda"> 542</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the height dimension.</span></div>
+<div class="line"><a name="l00544"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8"> 544</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160;<span class="comment"> /// Dilation along x axis</span></div>
+<div class="line"><a name="l00546"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1"> 546</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160;<span class="comment"> /// Dilation along y axis</span></div>
+<div class="line"><a name="l00548"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907"> 548</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160;<span class="comment"> /// Enable/disable bias.</span></div>
+<div class="line"><a name="l00550"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25"> 550</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div>
+<div class="line"><a name="l00552"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 552</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
+<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160;};</div>
+<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160;<span class="comment">/// A Convolution3dDescriptor for the Convolution3dLayer.</span></div>
+<div class="line"><a name="l00556"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml"> 556</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml">Convolution3dDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160;{</div>
+<div class="line"><a name="l00558"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ad9574a414b3dcf582f8e02245df2222a"> 558</a></span>&#160; <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ad9574a414b3dcf582f8e02245df2222a">Convolution3dDescriptor</a>()</div>
+<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160; : <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>(0)</div>
+<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>&#160; , <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>(0)</div>
+<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>&#160; , <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>(0)</div>
+<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>&#160; , <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>(0)</div>
+<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>&#160; , <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a>(0)</div>
+<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160; , <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a>(0)</div>
+<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>&#160; , <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>(1)</div>
+<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160; , <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>(1)</div>
+<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160; , <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a>(1)</div>
+<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160; , <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>(1)</div>
+<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160; , <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>(1)</div>
+<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160; , <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a16543bce17aa2e4d6e81c88f74227192">m_DilationZ</a>(1)</div>
+<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>&#160; , <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>(false)</div>
+<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>&#160; , <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">NDHWC</a>)</div>
+<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>&#160; {}</div>
+<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>&#160; </div>
+<div class="line"><a name="l00575"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ad94a908c21d0815c7bc7f911e5be1154"> 575</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ad94a908c21d0815c7bc7f911e5be1154">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml">Convolution3dDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> &amp;&amp;</div>
+<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>&#160; <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> &amp;&amp;</div>
+<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>&#160; <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> &amp;&amp;</div>
+<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>&#160; <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> &amp;&amp;</div>
+<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>&#160; <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a> == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a> &amp;&amp;</div>
+<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>&#160; <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a> == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a> &amp;&amp;</div>
+<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>&#160; <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> &amp;&amp;</div>
+<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>&#160; <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> &amp;&amp;</div>
+<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>&#160; <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a> == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a> &amp;&amp;</div>
+<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>&#160; <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> &amp;&amp;</div>
+<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>&#160; <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> &amp;&amp;</div>
+<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160; <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a16543bce17aa2e4d6e81c88f74227192">m_DilationZ</a> == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a16543bce17aa2e4d6e81c88f74227192">m_DilationZ</a> &amp;&amp;</div>
+<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>&#160; <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> &amp;&amp;</div>
+<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>&#160; <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == rhs.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
+<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160; }</div>
+<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>&#160;<span class="comment"> /// Get the number of views/inputs.</span></div>
+<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a62938964ffd34d5af3f2d56ca1183b18">GetNumInputs</a>() <span class="keyword">const</span>;</div>
+<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160;<span class="comment"> /// Padding left value in the width dimension.</span></div>
+<div class="line"><a name="l00597"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600"> 597</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>&#160;<span class="comment"> /// Padding right value in the width dimension.</span></div>
+<div class="line"><a name="l00599"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7"> 599</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>&#160;<span class="comment"> /// Padding top value in the height dimension.</span></div>
+<div class="line"><a name="l00601"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046"> 601</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>&#160;<span class="comment"> /// Padding bottom value in the height dimension.</span></div>
+<div class="line"><a name="l00603"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618"> 603</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>&#160;<span class="comment"> /// Padding front value in the depth dimension.</span></div>
+<div class="line"><a name="l00605"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61"> 605</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>&#160;<span class="comment"> /// Padding back value in the depth dimension.</span></div>
+<div class="line"><a name="l00607"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb"> 607</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the width dimension.</span></div>
+<div class="line"><a name="l00609"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda"> 609</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the height dimension.</span></div>
+<div class="line"><a name="l00611"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8"> 611</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the depth dimension.</span></div>
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+<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>&#160;<span class="comment"> /// Dilation along x axis</span></div>
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+<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>&#160;<span class="comment"> /// Dilation along z axis</span></div>
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+<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>&#160;<span class="comment"> /// The data layout to be used (NDHWC, NCDHW).</span></div>
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+<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>&#160;<span class="comment">/// A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer.</span></div>
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+<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>&#160; : <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>(0)</div>
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+<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>&#160; , <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>(0)</div>
+<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>&#160; , <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>(0)</div>
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+<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>&#160; , <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>(1)</div>
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+<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>&#160; <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> &amp;&amp;</div>
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+<div class="line"><a name="l00648"></a><span class="lineno"> 648</span>&#160; <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> &amp;&amp;</div>
+<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>&#160; <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> &amp;&amp;</div>
+<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>&#160; <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> &amp;&amp;</div>
+<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>&#160; <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> &amp;&amp;</div>
+<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>&#160; <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> &amp;&amp;</div>
+<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>&#160; <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
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+<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a62938964ffd34d5af3f2d56ca1183b18">GetNumInputs</a>() <span class="keyword">const</span>;</div>
+<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>&#160;<span class="comment"></span> </div>
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+<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>&#160;<span class="comment"> /// Padding right value in the width dimension.</span></div>
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+<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>&#160;<span class="comment"> /// Padding top value in the height dimension.</span></div>
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+<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>&#160;<span class="comment"> /// Padding bottom value in the height dimension.</span></div>
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+<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the width dimension.</span></div>
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+<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>&#160;<span class="comment"> /// Dilation factor value for width dimension.</span></div>
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+<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>&#160;<span class="comment"> /// Dilation factor value for height dimension.</span></div>
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+<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div>
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+<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>&#160; , <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055">m_DetectionsPerClass</a>(1)</div>
+<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>&#160; , <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592">m_NmsScoreThreshold</a>(0)</div>
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+<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>&#160; , <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a>(0)</div>
+<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>&#160; , <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">m_UseRegularNms</a>(false)</div>
+<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>&#160; , <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f">m_ScaleX</a>(0)</div>
+<div class="line"><a name="l00692"></a><span class="lineno"> 692</span>&#160; , <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028">m_ScaleY</a>(0)</div>
+<div class="line"><a name="l00693"></a><span class="lineno"> 693</span>&#160; , <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58">m_ScaleW</a>(0)</div>
+<div class="line"><a name="l00694"></a><span class="lineno"> 694</span>&#160; , <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72">m_ScaleH</a>(0)</div>
+<div class="line"><a name="l00695"></a><span class="lineno"> 695</span>&#160; {}</div>
+<div class="line"><a name="l00696"></a><span class="lineno"> 696</span>&#160; </div>
+<div class="line"><a name="l00697"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a0773c6fc2b30dc55c1bbdfc603e6e79f"> 697</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a0773c6fc2b30dc55c1bbdfc603e6e79f">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l00699"></a><span class="lineno"> 699</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">m_MaxDetections</a> == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">m_MaxDetections</a> &amp;&amp;</div>
+<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>&#160; <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">m_MaxClassesPerDetection</a> == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">m_MaxClassesPerDetection</a> &amp;&amp;</div>
+<div class="line"><a name="l00701"></a><span class="lineno"> 701</span>&#160; <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055">m_DetectionsPerClass</a> == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055">m_DetectionsPerClass</a> &amp;&amp;</div>
+<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>&#160; <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592">m_NmsScoreThreshold</a> == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592">m_NmsScoreThreshold</a> &amp;&amp;</div>
+<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>&#160; <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101">m_NmsIouThreshold</a> == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101">m_NmsIouThreshold</a> &amp;&amp;</div>
+<div class="line"><a name="l00704"></a><span class="lineno"> 704</span>&#160; <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a> == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a> &amp;&amp;</div>
+<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>&#160; <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">m_UseRegularNms</a> == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">m_UseRegularNms</a> &amp;&amp;</div>
+<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>&#160; <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f">m_ScaleX</a> == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f">m_ScaleX</a> &amp;&amp;</div>
+<div class="line"><a name="l00707"></a><span class="lineno"> 707</span>&#160; <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028">m_ScaleY</a> == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028">m_ScaleY</a> &amp;&amp;</div>
+<div class="line"><a name="l00708"></a><span class="lineno"> 708</span>&#160; <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58">m_ScaleW</a> == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58">m_ScaleW</a> &amp;&amp;</div>
+<div class="line"><a name="l00709"></a><span class="lineno"> 709</span>&#160; <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72">m_ScaleH</a> == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72">m_ScaleH</a>;</div>
+<div class="line"><a name="l00710"></a><span class="lineno"> 710</span>&#160; }</div>
+<div class="line"><a name="l00711"></a><span class="lineno"> 711</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00712"></a><span class="lineno"> 712</span>&#160;<span class="comment"> /// Maximum numbers of detections.</span></div>
+<div class="line"><a name="l00713"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014"> 713</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">m_MaxDetections</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>&#160;<span class="comment"> /// Maximum numbers of classes per detection, used in Fast NMS.</span></div>
+<div class="line"><a name="l00715"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8"> 715</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">m_MaxClassesPerDetection</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00716"></a><span class="lineno"> 716</span>&#160;<span class="comment"> /// Detections per classes, used in Regular NMS.</span></div>
+<div class="line"><a name="l00717"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055"> 717</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055">m_DetectionsPerClass</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00718"></a><span class="lineno"> 718</span>&#160;<span class="comment"> /// NMS score threshold.</span></div>
+<div class="line"><a name="l00719"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592"> 719</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592">m_NmsScoreThreshold</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00720"></a><span class="lineno"> 720</span>&#160;<span class="comment"> /// Intersection over union threshold.</span></div>
+<div class="line"><a name="l00721"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101"> 721</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101">m_NmsIouThreshold</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00722"></a><span class="lineno"> 722</span>&#160;<span class="comment"> /// Number of classes.</span></div>
+<div class="line"><a name="l00723"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4"> 723</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00724"></a><span class="lineno"> 724</span>&#160;<span class="comment"> /// Use Regular NMS.</span></div>
+<div class="line"><a name="l00725"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f"> 725</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">m_UseRegularNms</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00726"></a><span class="lineno"> 726</span>&#160;<span class="comment"> /// Center size encoding scale x.</span></div>
+<div class="line"><a name="l00727"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f"> 727</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f">m_ScaleX</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00728"></a><span class="lineno"> 728</span>&#160;<span class="comment"> /// Center size encoding scale y.</span></div>
+<div class="line"><a name="l00729"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028"> 729</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028">m_ScaleY</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00730"></a><span class="lineno"> 730</span>&#160;<span class="comment"> /// Center size encoding scale weight.</span></div>
+<div class="line"><a name="l00731"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58"> 731</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58">m_ScaleW</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00732"></a><span class="lineno"> 732</span>&#160;<span class="comment"> /// Center size encoding scale height.</span></div>
+<div class="line"><a name="l00733"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72"> 733</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72">m_ScaleH</a>;</div>
+<div class="line"><a name="l00734"></a><span class="lineno"> 734</span>&#160;};</div>
+<div class="line"><a name="l00735"></a><span class="lineno"> 735</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00736"></a><span class="lineno"> 736</span>&#160;<span class="comment">/// A NormalizationDescriptor for the NormalizationLayer.</span></div>
+<div class="line"><a name="l00737"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml"> 737</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l00738"></a><span class="lineno"> 738</span>&#160;{</div>
+<div class="line"><a name="l00739"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a8adc7995fc87683fb9a99b3a161904c6"> 739</a></span>&#160; <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8adc7995fc87683fb9a99b3a161904c6">NormalizationDescriptor</a>()</div>
+<div class="line"><a name="l00740"></a><span class="lineno"> 740</span>&#160; : <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#afe1f0f09d49ad2befc01f8789187b7dd">m_NormChannelType</a>(<a class="code" href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437">NormalizationAlgorithmChannel</a>::<a class="code" href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437a810f43f3996922151c39b76143faeecc">Across</a>)</div>
+<div class="line"><a name="l00741"></a><span class="lineno"> 741</span>&#160; , <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a05945f080edf694b631960728b87aadb">m_NormMethodType</a>(<a class="code" href="namespacearmnn.xhtml#ad605d1661fa0d8c7fea651d82fbe11c9">NormalizationAlgorithmMethod</a>::<a class="code" href="namespacearmnn.xhtml#ad605d1661fa0d8c7fea651d82fbe11c9ac65d2e51c610dd3853a3c777aa8bfe9d">LocalBrightness</a>)</div>
+<div class="line"><a name="l00742"></a><span class="lineno"> 742</span>&#160; , <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#aa70c05f1aad12fbd9d9ec43ea4557b03">m_NormSize</a>(0)</div>
+<div class="line"><a name="l00743"></a><span class="lineno"> 743</span>&#160; , <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a174279be57d7596eeb04c6b7f7510f99">m_Alpha</a>(0.f)</div>
+<div class="line"><a name="l00744"></a><span class="lineno"> 744</span>&#160; , <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>(0.f)</div>
+<div class="line"><a name="l00745"></a><span class="lineno"> 745</span>&#160; , <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8526ea7cf860d8e7f8340e9f9354f9f0">m_K</a>(0.f)</div>
+<div class="line"><a name="l00746"></a><span class="lineno"> 746</span>&#160; , <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div>
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+<div class="line"><a name="l00748"></a><span class="lineno"> 748</span>&#160; </div>
+<div class="line"><a name="l00749"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#af0e4b97a3ecaf95a364f33c37cdbd052"> 749</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#af0e4b97a3ecaf95a364f33c37cdbd052">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#afe1f0f09d49ad2befc01f8789187b7dd">m_NormChannelType</a> == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#afe1f0f09d49ad2befc01f8789187b7dd">m_NormChannelType</a> &amp;&amp;</div>
+<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>&#160; <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a05945f080edf694b631960728b87aadb">m_NormMethodType</a> == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a05945f080edf694b631960728b87aadb">m_NormMethodType</a> &amp;&amp;</div>
+<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>&#160; <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#aa70c05f1aad12fbd9d9ec43ea4557b03">m_NormSize</a> == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#aa70c05f1aad12fbd9d9ec43ea4557b03">m_NormSize</a> &amp;&amp;</div>
+<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>&#160; <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a174279be57d7596eeb04c6b7f7510f99">m_Alpha</a> == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a174279be57d7596eeb04c6b7f7510f99">m_Alpha</a> &amp;&amp;</div>
+<div class="line"><a name="l00755"></a><span class="lineno"> 755</span>&#160; <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a> == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a> &amp;&amp;</div>
+<div class="line"><a name="l00756"></a><span class="lineno"> 756</span>&#160; <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8526ea7cf860d8e7f8340e9f9354f9f0">m_K</a> == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8526ea7cf860d8e7f8340e9f9354f9f0">m_K</a> &amp;&amp;</div>
+<div class="line"><a name="l00757"></a><span class="lineno"> 757</span>&#160; <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
+<div class="line"><a name="l00758"></a><span class="lineno"> 758</span>&#160; }</div>
+<div class="line"><a name="l00759"></a><span class="lineno"> 759</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00760"></a><span class="lineno"> 760</span>&#160;<span class="comment"> /// Normalization channel algorithm to use (Across, Within).</span></div>
+<div class="line"><a name="l00761"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#afe1f0f09d49ad2befc01f8789187b7dd"> 761</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437">NormalizationAlgorithmChannel</a> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#afe1f0f09d49ad2befc01f8789187b7dd">m_NormChannelType</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00762"></a><span class="lineno"> 762</span>&#160;<span class="comment"> /// Normalization method algorithm to use (LocalBrightness, LocalContrast).</span></div>
+<div class="line"><a name="l00763"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a05945f080edf694b631960728b87aadb"> 763</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad605d1661fa0d8c7fea651d82fbe11c9">NormalizationAlgorithmMethod</a> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a05945f080edf694b631960728b87aadb">m_NormMethodType</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00764"></a><span class="lineno"> 764</span>&#160;<span class="comment"> /// Depth radius value.</span></div>
+<div class="line"><a name="l00765"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#aa70c05f1aad12fbd9d9ec43ea4557b03"> 765</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#aa70c05f1aad12fbd9d9ec43ea4557b03">m_NormSize</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00766"></a><span class="lineno"> 766</span>&#160;<span class="comment"> /// Alpha value for the normalization equation.</span></div>
+<div class="line"><a name="l00767"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a174279be57d7596eeb04c6b7f7510f99"> 767</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a174279be57d7596eeb04c6b7f7510f99">m_Alpha</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00768"></a><span class="lineno"> 768</span>&#160;<span class="comment"> /// Beta value for the normalization equation.</span></div>
+<div class="line"><a name="l00769"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5"> 769</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00770"></a><span class="lineno"> 770</span>&#160;<span class="comment"> /// Kappa value used for the across channel normalization equation.</span></div>
+<div class="line"><a name="l00771"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a8526ea7cf860d8e7f8340e9f9354f9f0"> 771</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8526ea7cf860d8e7f8340e9f9354f9f0">m_K</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div>
+<div class="line"><a name="l00773"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 773</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
+<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>&#160;};</div>
+<div class="line"><a name="l00775"></a><span class="lineno"> 775</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00776"></a><span class="lineno"> 776</span>&#160;<span class="comment">/// A L2NormalizationDescriptor for the L2NormalizationLayer.</span></div>
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+<div class="line"><a name="l00778"></a><span class="lineno"> 778</span>&#160;{</div>
+<div class="line"><a name="l00779"></a><span class="lineno"><a class="line" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a7c758226ee35a1387dff4fb8a5f14948"> 779</a></span>&#160; <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a7c758226ee35a1387dff4fb8a5f14948">L2NormalizationDescriptor</a>()</div>
+<div class="line"><a name="l00780"></a><span class="lineno"> 780</span>&#160; : <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a>(1e-12f)</div>
+<div class="line"><a name="l00781"></a><span class="lineno"> 781</span>&#160; , <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div>
+<div class="line"><a name="l00782"></a><span class="lineno"> 782</span>&#160; {}</div>
+<div class="line"><a name="l00783"></a><span class="lineno"> 783</span>&#160; </div>
+<div class="line"><a name="l00784"></a><span class="lineno"><a class="line" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#affc4fe96bd046f459ae712bd811b9d28"> 784</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#affc4fe96bd046f459ae712bd811b9d28">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00785"></a><span class="lineno"> 785</span>&#160;<span class="keyword"> </span>{</div>
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+<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>&#160; }</div>
+<div class="line"><a name="l00788"></a><span class="lineno"> 788</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>&#160;<span class="comment"> /// Used to avoid dividing by zero.</span></div>
+<div class="line"><a name="l00790"></a><span class="lineno"><a class="line" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c"> 790</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div>
+<div class="line"><a name="l00792"></a><span class="lineno"><a class="line" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 792</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
+<div class="line"><a name="l00793"></a><span class="lineno"> 793</span>&#160;};</div>
+<div class="line"><a name="l00794"></a><span class="lineno"> 794</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00795"></a><span class="lineno"> 795</span>&#160;<span class="comment">/// A BatchNormalizationDescriptor for the BatchNormalizationLayer.</span></div>
+<div class="line"><a name="l00796"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_normalization_descriptor.xhtml"> 796</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
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+<div class="line"><a name="l00798"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#aefba12eed94174fb6eaeb78b6eaf7e59"> 798</a></span>&#160; <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#aefba12eed94174fb6eaeb78b6eaf7e59">BatchNormalizationDescriptor</a>()</div>
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+<div class="line"><a name="l00800"></a><span class="lineno"> 800</span>&#160; , <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div>
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+<div class="line"><a name="l00802"></a><span class="lineno"> 802</span>&#160; </div>
+<div class="line"><a name="l00803"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a65f4f175144b079a9b33eb4871192af6"> 803</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a65f4f175144b079a9b33eb4871192af6">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00804"></a><span class="lineno"> 804</span>&#160;<span class="keyword"> </span>{</div>
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+<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>&#160; }</div>
+<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>&#160;<span class="comment"></span> </div>
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+<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div>
+<div class="line"><a name="l00811"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 811</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
+<div class="line"><a name="l00812"></a><span class="lineno"> 812</span>&#160;};</div>
+<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00814"></a><span class="lineno"> 814</span>&#160;<span class="comment">/// An InstanceNormalizationDescriptor for InstanceNormalizationLayer</span></div>
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+<div class="line"><a name="l00817"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a36f0ec397ba668e40fbb48a806691feb"> 817</a></span>&#160; <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a36f0ec397ba668e40fbb48a806691feb">InstanceNormalizationDescriptor</a>()</div>
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+<div class="line"><a name="l00821"></a><span class="lineno"> 821</span>&#160; , <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div>
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+<div class="line"><a name="l00823"></a><span class="lineno"> 823</span>&#160; </div>
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+<div class="line"><a name="l00828"></a><span class="lineno"> 828</span>&#160; <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a> == rhs.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a> &amp;&amp;</div>
+<div class="line"><a name="l00829"></a><span class="lineno"> 829</span>&#160; <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == rhs.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
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+<div class="line"><a name="l00833"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a5e078fd505aef7bccaa05c8058e096cc"> 833</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a5e078fd505aef7bccaa05c8058e096cc">m_Gamma</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00834"></a><span class="lineno"> 834</span>&#160;<span class="comment"> /// Beta, the offset scalar value applied for the normalized tensor. Defaults to 1.0.</span></div>
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+<div class="line"><a name="l00836"></a><span class="lineno"> 836</span>&#160;<span class="comment"> /// Epsilon, small scalar value added to variance to avoid dividing by zero. Defaults to 1e-12f.</span></div>
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+<div class="line"><a name="l00838"></a><span class="lineno"> 838</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div>
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+<div class="line"><a name="l00862"></a><span class="lineno"> 862</span>&#160; <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == rhs.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
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+<div class="line"><a name="l00865"></a><span class="lineno"> 865</span>&#160;<span class="comment"> /// Block shape values.</span></div>
+<div class="line"><a name="l00866"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696"> 866</a></span>&#160;<span class="comment"></span> std::vector&lt;unsigned int&gt; <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00867"></a><span class="lineno"> 867</span>&#160;<span class="comment"> /// The values to crop from the input dimension.</span></div>
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+<div class="line"><a name="l00869"></a><span class="lineno"> 869</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div>
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+<div class="line"><a name="l00940"></a><span class="lineno"> 940</span>&#160; , <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a4022d5107338aaf5eb7abebf78a1360b">m_HalfPixelCenters</a>(false)</div>
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+<div class="line"><a name="l00945"></a><span class="lineno"> 945</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a> == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a> &amp;&amp;</div>
+<div class="line"><a name="l00946"></a><span class="lineno"> 946</span>&#160; <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a> == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a> &amp;&amp;</div>
+<div class="line"><a name="l00947"></a><span class="lineno"> 947</span>&#160; <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b">m_Method</a> == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b">m_Method</a> &amp;&amp;</div>
+<div class="line"><a name="l00948"></a><span class="lineno"> 948</span>&#160; <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> &amp;&amp;</div>
+<div class="line"><a name="l00949"></a><span class="lineno"> 949</span>&#160; <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#ae1a4b3b6c60552509b89747cebb900a2">m_AlignCorners</a> == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#ae1a4b3b6c60552509b89747cebb900a2">m_AlignCorners</a> &amp;&amp;</div>
+<div class="line"><a name="l00950"></a><span class="lineno"> 950</span>&#160; <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a4022d5107338aaf5eb7abebf78a1360b">m_HalfPixelCenters</a> == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a4022d5107338aaf5eb7abebf78a1360b">m_HalfPixelCenters</a>;</div>
+<div class="line"><a name="l00951"></a><span class="lineno"> 951</span>&#160; }</div>
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+<div class="line"><a name="l00953"></a><span class="lineno"> 953</span>&#160;<span class="comment"> /// Target width value.</span></div>
+<div class="line"><a name="l00954"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c"> 954</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00955"></a><span class="lineno"> 955</span>&#160;<span class="comment"> /// Target height value.</span></div>
+<div class="line"><a name="l00956"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd"> 956</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00957"></a><span class="lineno"> 957</span>&#160;<span class="comment"> /// The Interpolation method to use</span></div>
+<div class="line"><a name="l00958"></a><span class="lineno"> 958</span>&#160;<span class="comment"> /// (Bilinear, NearestNeighbor).</span></div>
+<div class="line"><a name="l00959"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b"> 959</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4">ResizeMethod</a> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b">m_Method</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00960"></a><span class="lineno"> 960</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div>
+<div class="line"><a name="l00961"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 961</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00962"></a><span class="lineno"> 962</span>&#160;<span class="comment"> /// Aligned corners</span></div>
+<div class="line"><a name="l00963"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#ae1a4b3b6c60552509b89747cebb900a2"> 963</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#ae1a4b3b6c60552509b89747cebb900a2">m_AlignCorners</a>;<span class="comment"></span></div>
+<div class="line"><a name="l00964"></a><span class="lineno"> 964</span>&#160;<span class="comment"> /// Half Pixel Centers</span></div>
+<div class="line"><a name="l00965"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#a4022d5107338aaf5eb7abebf78a1360b"> 965</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a4022d5107338aaf5eb7abebf78a1360b">m_HalfPixelCenters</a>;</div>
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+<div class="line"><a name="l00967"></a><span class="lineno"> 967</span>&#160; </div>
+<div class="line"><a name="l00968"></a><span class="lineno"> 968</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00969"></a><span class="lineno"> 969</span>&#160;<span class="comment">/// A ReshapeDescriptor for the ReshapeLayer.</span></div>
+<div class="line"><a name="l00970"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reshape_descriptor.xhtml"> 970</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
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+<div class="line"><a name="l00984"></a><span class="lineno"> 984</span>&#160;<span class="comment"></span> </div>
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+<div class="line"><a name="l00986"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reshape_descriptor.xhtml#a1178f4dafdda81f59c15145ec327f7d9"> 986</a></span>&#160;<span class="comment"></span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml#a1178f4dafdda81f59c15145ec327f7d9">m_TargetShape</a>;</div>
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+<div class="line"><a name="l00988"></a><span class="lineno"> 988</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l00989"></a><span class="lineno"> 989</span>&#160;<span class="comment">/// A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer.</span></div>
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+<div class="line"><a name="l00994"></a><span class="lineno"> 994</span>&#160; , <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>({{0, 0}, {0, 0}})</div>
+<div class="line"><a name="l00995"></a><span class="lineno"> 995</span>&#160; , <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div>
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+<div class="line"><a name="l00997"></a><span class="lineno"> 997</span>&#160; </div>
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+<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>&#160; , <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div>
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+<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>&#160; </div>
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+<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>&#160;<span class="keyword"> </span>{</div>
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+<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>&#160; <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> == rhs.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> &amp;&amp;</div>
+<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>&#160; <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == rhs.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
+<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>&#160; }</div>
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+<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>&#160;<span class="comment"> /// Block shape value.</span></div>
+<div class="line"><a name="l01013"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696"> 1013</a></span>&#160;<span class="comment"></span> std::vector&lt;unsigned int&gt; <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>&#160;<span class="comment"> /// @brief Specifies the padding values for the input dimension:</span></div>
+<div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>&#160;<span class="comment"> /// heightPad{top, bottom} widthPad{left, right}.</span></div>
+<div class="line"><a name="l01016"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3"> 1016</a></span>&#160;<span class="comment"></span> std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt; <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div>
+<div class="line"><a name="l01018"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 1018</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
+<div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>&#160;};</div>
+<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>&#160;<span class="comment"></span> </div>
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+<div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>&#160;{</div>
+<div class="line"><a name="l01024"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#af295348553622bb3baadff6ea5124414"> 1024</a></span>&#160; <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#af295348553622bb3baadff6ea5124414">SpaceToDepthDescriptor</a>()</div>
+<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>&#160; : <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a>(1u, <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">NHWC</a>)</div>
+<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>&#160; {}</div>
+<div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>&#160; </div>
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+<div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>&#160; : <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a>(blockSize)</div>
+<div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>&#160; , <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>(dataLayout)</div>
+<div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>&#160; {}</div>
+<div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>&#160; </div>
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+<div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> == rhs.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> &amp;&amp; <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == rhs.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
+<div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160; }</div>
+<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>&#160;<span class="comment"> /// Scalar specifying the input block size. It must be &gt;= 1</span></div>
+<div class="line"><a name="l01039"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486"> 1039</a></span>&#160;<span class="comment"></span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a>;</div>
+<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div>
+<div class="line"><a name="l01042"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 1042</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
+<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>&#160;};</div>
+<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>&#160;<span class="comment">/// A DepthToSpaceDescriptor for the DepthToSpaceLayer</span></div>
+<div class="line"><a name="l01046"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a3647f60510bc8ddaced01c51b0ee8714"> 1046</a></span>&#160;<span class="comment"></span><span class="keyword">using</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">DepthToSpaceDescriptor</a> = <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a>;</div>
+<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>&#160;<span class="comment">/// An LstmDescriptor for the LstmLayer.</span></div>
+<div class="line"><a name="l01049"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml"> 1049</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>&#160;{</div>
+<div class="line"><a name="l01051"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a6bc0b32c1db8d15971cae0ed4483a1"> 1051</a></span>&#160; <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a6bc0b32c1db8d15971cae0ed4483a1">LstmDescriptor</a>()</div>
+<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>&#160; : <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ae1b07ed928036004bd257169e5aeeef4">m_ActivationFunc</a>(1) <span class="comment">// 0: None, 1: Relu, 3: Relu6, 4: Tanh, 6: Sigmoid</span></div>
+<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">m_ClippingThresCell</a>(0.0)</div>
+<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">m_ClippingThresProj</a>(0.0)</div>
+<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>(true)</div>
+<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>(false)</div>
+<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>(false)</div>
+<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>(false)</div>
+<div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a3dcd10ca3ea2e132558b1e2814668c15">m_TimeMajor</a>(false)</div>
+<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf">m_InputIntermediateScale</a>(0.0)</div>
+<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189">m_ForgetIntermediateScale</a>(0.0)</div>
+<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b">m_CellIntermediateScale</a>(0.0)</div>
+<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d">m_OutputIntermediateScale</a>(0.0)</div>
+<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d">m_HiddenStateZeroPoint</a>(0)</div>
+<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a>(0.0)</div>
+<div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>&#160; {}</div>
+<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>&#160; </div>
+<div class="line"><a name="l01068"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a3f7f9ecbcc21de1bf2090474c6360014"> 1068</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a3f7f9ecbcc21de1bf2090474c6360014">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ae1b07ed928036004bd257169e5aeeef4">m_ActivationFunc</a> == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ae1b07ed928036004bd257169e5aeeef4">m_ActivationFunc</a> &amp;&amp;</div>
+<div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>&#160; <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">m_ClippingThresCell</a> == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">m_ClippingThresCell</a> &amp;&amp;</div>
+<div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>&#160; <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">m_ClippingThresProj</a> == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">m_ClippingThresProj</a> &amp;&amp;</div>
+<div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>&#160; <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a> == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a> &amp;&amp;</div>
+<div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>&#160; <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a> == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a> &amp;&amp;</div>
+<div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>&#160; <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a> == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a> &amp;&amp;</div>
+<div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>&#160; <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a3dcd10ca3ea2e132558b1e2814668c15">m_TimeMajor</a> == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a3dcd10ca3ea2e132558b1e2814668c15">m_TimeMajor</a> &amp;&amp;</div>
+<div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>&#160; <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf">m_InputIntermediateScale</a> == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf">m_InputIntermediateScale</a> &amp;&amp;</div>
+<div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>&#160; <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189">m_ForgetIntermediateScale</a> == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189">m_ForgetIntermediateScale</a> &amp;&amp;</div>
+<div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>&#160; <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b">m_CellIntermediateScale</a> == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b">m_CellIntermediateScale</a> &amp;&amp;</div>
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+<div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>&#160; <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a> == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a>;</div>
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+<div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>&#160;<span class="comment"> /// @brief The activation function to use.</span></div>
+<div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>&#160;<span class="comment"> /// 0: None, 1: Relu, 3: Relu6, 4: Tanh, 6: Sigmoid.</span></div>
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+<div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>&#160;<span class="comment"> /// Clipping threshold value for the cell state.</span></div>
+<div class="line"><a name="l01089"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5"> 1089</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">m_ClippingThresCell</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>&#160;<span class="comment"> /// Clipping threshold value for the projection.</span></div>
+<div class="line"><a name="l01091"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af"> 1091</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">m_ClippingThresProj</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>&#160;<span class="comment"> /// Enable/disable cifg (coupled input &amp; forget gate).</span></div>
+<div class="line"><a name="l01093"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb"> 1093</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>&#160;<span class="comment"> /// Enable/disable peephole.</span></div>
+<div class="line"><a name="l01095"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8"> 1095</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>&#160;<span class="comment"> /// Enable/disable the projection layer.</span></div>
+<div class="line"><a name="l01097"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17"> 1097</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>&#160;<span class="comment"> /// Enable/disable layer normalization</span></div>
+<div class="line"><a name="l01099"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780"> 1099</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>&#160;<span class="comment"> /// Enable/disable time major</span></div>
+<div class="line"><a name="l01101"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a3dcd10ca3ea2e132558b1e2814668c15"> 1101</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a3dcd10ca3ea2e132558b1e2814668c15">m_TimeMajor</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>&#160;<span class="comment"> /// Input intermediate quantization scale</span></div>
+<div class="line"><a name="l01103"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf"> 1103</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf">m_InputIntermediateScale</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>&#160;<span class="comment"> /// Forget intermediate quantization scale</span></div>
+<div class="line"><a name="l01105"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189"> 1105</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189">m_ForgetIntermediateScale</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>&#160;<span class="comment"> /// Cell intermediate quantization scale</span></div>
+<div class="line"><a name="l01107"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b"> 1107</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b">m_CellIntermediateScale</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>&#160;<span class="comment"> /// Output intermediate quantization scale</span></div>
+<div class="line"><a name="l01109"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d"> 1109</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d">m_OutputIntermediateScale</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>&#160;<span class="comment"> /// Hidden State zero point</span></div>
+<div class="line"><a name="l01111"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d"> 1111</a></span>&#160;<span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d">m_HiddenStateZeroPoint</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>&#160;<span class="comment"> /// Hidden State quantization scale</span></div>
+<div class="line"><a name="l01113"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98"> 1113</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a>;</div>
+<div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>&#160;};</div>
+<div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>&#160; </div>
+<div class="line"><a name="l01116"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae6c5f1b51bd32133c4dcc632045d6b58"> 1116</a></span>&#160;<span class="keyword">using</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">UnidirectionalSequenceLstmDescriptor</a> = <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a>;</div>
+<div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>&#160;<span class="comment">/// A MeanDescriptor for the MeanLayer.</span></div>
+<div class="line"><a name="l01119"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml"> 1119</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>&#160;{</div>
+<div class="line"><a name="l01121"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml#a71ab37b5cafc60ab26a1728354cafe77"> 1121</a></span>&#160; <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a71ab37b5cafc60ab26a1728354cafe77">MeanDescriptor</a>()</div>
+<div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>&#160; : <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a>()</div>
+<div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>&#160; , <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>(false)</div>
+<div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>&#160; {}</div>
+<div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>&#160; </div>
+<div class="line"><a name="l01126"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml#aeb36ba495f90f46580887217835290ba"> 1126</a></span>&#160; <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#aeb36ba495f90f46580887217835290ba">MeanDescriptor</a>(<span class="keyword">const</span> std::vector&lt;unsigned int&gt;&amp; axis, <span class="keywordtype">bool</span> keepDims)</div>
+<div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>&#160; : <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a>(axis)</div>
+<div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>&#160; , <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>(keepDims)</div>
+<div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>&#160; {}</div>
+<div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>&#160; </div>
+<div class="line"><a name="l01131"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml#a45ddc9ab5e076c7740d54e0fb74f104c"> 1131</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a45ddc9ab5e076c7740d54e0fb74f104c">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a> == rhs.<a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a> &amp;&amp; <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a> == rhs.<a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>;</div>
+<div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>&#160; }</div>
+<div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>&#160;<span class="comment"> /// Values for the dimensions to reduce.</span></div>
+<div class="line"><a name="l01137"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95"> 1137</a></span>&#160;<span class="comment"></span> std::vector&lt;unsigned int&gt; <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>&#160;<span class="comment"> /// Enable/disable keep dimensions. If true, then the reduced dimensions that are of length 1 are kept.</span></div>
+<div class="line"><a name="l01139"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9"> 1139</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>;</div>
+<div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>&#160;};</div>
+<div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>&#160;<span class="comment">/// A PadDescriptor for the PadLayer.</span></div>
+<div class="line"><a name="l01143"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml"> 1143</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>&#160;{</div>
+<div class="line"><a name="l01145"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml#abf96ff8314156a991f72d107d4f325ce"> 1145</a></span>&#160; <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#abf96ff8314156a991f72d107d4f325ce">PadDescriptor</a>() : <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">m_PadValue</a>(0), <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a66f2c989f51ab6116de4380390250b69">m_PaddingMode</a>(<a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">PaddingMode</a>::<a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">Constant</a>)</div>
+<div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>&#160; {}</div>
+<div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>&#160; </div>
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+<div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span>&amp; padValue = 0,</div>
+<div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">PaddingMode</a>&amp; paddingMode = <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">PaddingMode::Constant</a>)</div>
+<div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>&#160; : <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>(padList)</div>
+<div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>&#160; , <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">m_PadValue</a>(padValue)</div>
+<div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>&#160; , <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a66f2c989f51ab6116de4380390250b69">m_PaddingMode</a>(paddingMode)</div>
+<div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>&#160; {}</div>
+<div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>&#160; </div>
+<div class="line"><a name="l01156"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml#acd6df4cac247b20fb2b6a1077299cb1f"> 1156</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#acd6df4cac247b20fb2b6a1077299cb1f">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> == rhs.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> &amp;&amp; <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">m_PadValue</a> == rhs.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">m_PadValue</a> &amp;&amp; <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a66f2c989f51ab6116de4380390250b69">m_PaddingMode</a> == rhs.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a66f2c989f51ab6116de4380390250b69">m_PaddingMode</a>;</div>
+<div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>&#160; }</div>
+<div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>&#160;<span class="comment"> /// @brief Specifies the padding for input dimension.</span></div>
+<div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>&#160;<span class="comment"> /// First is the number of values to add before the tensor in the dimension.</span></div>
+<div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>&#160;<span class="comment"> /// Second is the number of values to add after the tensor in the dimension.</span></div>
+<div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>&#160;<span class="comment"> /// The number of pairs should match the number of dimensions in the input tensor.</span></div>
+<div class="line"><a name="l01165"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3"> 1165</a></span>&#160;<span class="comment"></span> std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt; <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>;</div>
+<div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>&#160;<span class="comment"> /// Optional value to use for padding, defaults to 0</span></div>
+<div class="line"><a name="l01168"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab"> 1168</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">m_PadValue</a>;</div>
+<div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>&#160;<span class="comment"> /// Specifies the Padding mode (Constant, Reflect or Symmetric)</span></div>
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+<div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>&#160; </div>
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+<div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>&#160; {}</div>
+<div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>&#160; </div>
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+<div class="line"><a name="l01275"></a><span class="lineno"> 1275</span>&#160; <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61081be1483984e33db452c75d569f51">m_BeginMask</a> == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61081be1483984e33db452c75d569f51">m_BeginMask</a> &amp;&amp;</div>
+<div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>&#160; <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#ac37e49c0d6e6e54f9d2015d0f11f8ee7">m_EndMask</a> == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#ac37e49c0d6e6e54f9d2015d0f11f8ee7">m_EndMask</a> &amp;&amp;</div>
+<div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>&#160; <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f">m_ShrinkAxisMask</a> == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f">m_ShrinkAxisMask</a> &amp;&amp;</div>
+<div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>&#160; <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#af996d82c47e43a16f4c8faa6c6b3e030">m_EllipsisMask</a> == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#af996d82c47e43a16f4c8faa6c6b3e030">m_EllipsisMask</a> &amp;&amp;</div>
+<div class="line"><a name="l01279"></a><span class="lineno"> 1279</span>&#160; <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a7c91eda2b331d607bae92cd8ebf50bb9">m_NewAxisMask</a> == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a7c91eda2b331d607bae92cd8ebf50bb9">m_NewAxisMask</a> &amp;&amp;</div>
+<div class="line"><a name="l01280"></a><span class="lineno"> 1280</span>&#160; <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
+<div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>&#160; }</div>
+<div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>&#160; </div>
+<div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>&#160; <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#add849c1188ee7ff60774755b746aa526">GetStartForAxis</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inputShape, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis) <span class="keyword">const</span>;</div>
+<div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>&#160; <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#afc4731b55776f71af1e14c799c6e6e2c">GetStopForAxis</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inputShape,</div>
+<div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis,</div>
+<div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>&#160; <span class="keywordtype">int</span> startForAxis) <span class="keyword">const</span>;</div>
+<div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>&#160;<span class="comment"> /// Begin values for the input that will be sliced.</span></div>
+<div class="line"><a name="l01289"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a118fe06b7c2599da60398ee311ede923"> 1289</a></span>&#160;<span class="comment"></span> std::vector&lt;int&gt; <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a118fe06b7c2599da60398ee311ede923">m_Begin</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>&#160;<span class="comment"> /// End values for the input that will be sliced.</span></div>
+<div class="line"><a name="l01291"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#aa68194dd6258ab5b04123005a066ea25"> 1291</a></span>&#160;<span class="comment"></span> std::vector&lt;int&gt; <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#aa68194dd6258ab5b04123005a066ea25">m_End</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>&#160;<span class="comment"> /// Stride values for the input that will be sliced.</span></div>
+<div class="line"><a name="l01293"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201"> 1293</a></span>&#160;<span class="comment"></span> std::vector&lt;int&gt; <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201">m_Stride</a>;</div>
+<div class="line"><a name="l01294"></a><span class="lineno"> 1294</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>&#160;<span class="comment"> /// @brief Begin mask value. If set, then the begin is disregarded and the fullest</span></div>
+<div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>&#160;<span class="comment"> /// range is used for the dimension.</span></div>
+<div class="line"><a name="l01297"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61081be1483984e33db452c75d569f51"> 1297</a></span>&#160;<span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61081be1483984e33db452c75d569f51">m_BeginMask</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>&#160;<span class="comment"> /// @brief End mask value. If set, then the end is disregarded and the fullest range</span></div>
+<div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>&#160;<span class="comment"> /// is used for the dimension.</span></div>
+<div class="line"><a name="l01300"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#ac37e49c0d6e6e54f9d2015d0f11f8ee7"> 1300</a></span>&#160;<span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#ac37e49c0d6e6e54f9d2015d0f11f8ee7">m_EndMask</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>&#160;<span class="comment"> /// Shrink axis mask value. If set, the nth specification shrinks the dimensionality by 1.</span></div>
+<div class="line"><a name="l01302"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f"> 1302</a></span>&#160;<span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f">m_ShrinkAxisMask</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>&#160;<span class="comment"> /// Ellipsis mask value.</span></div>
+<div class="line"><a name="l01304"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#af996d82c47e43a16f4c8faa6c6b3e030"> 1304</a></span>&#160;<span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#af996d82c47e43a16f4c8faa6c6b3e030">m_EllipsisMask</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>&#160;<span class="comment"> /// @brief New axis mask value. If set, the begin, end and stride is disregarded and</span></div>
+<div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>&#160;<span class="comment"> /// a new 1 dimension is inserted to this location of the output tensor.</span></div>
+<div class="line"><a name="l01307"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a7c91eda2b331d607bae92cd8ebf50bb9"> 1307</a></span>&#160;<span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a7c91eda2b331d607bae92cd8ebf50bb9">m_NewAxisMask</a>;</div>
+<div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div>
+<div class="line"><a name="l01310"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 1310</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div>
+<div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>&#160;};</div>
+<div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>&#160;<span class="comment">/// A PreCompiledDescriptor for the PreCompiledLayer.</span></div>
+<div class="line"><a name="l01314"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pre_compiled_descriptor.xhtml"> 1314</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml">PreCompiledDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>&#160;{</div>
+<div class="line"><a name="l01316"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a6be5287e50fca444cd42986e47ab75db"> 1316</a></span>&#160; <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a6be5287e50fca444cd42986e47ab75db">PreCompiledDescriptor</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputSlots = 1u, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputSlots = 1u)</div>
+<div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>&#160; : <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#aebc22128191c14a59356453600833344">m_NumInputSlots</a>(numInputSlots), <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a19244e2574820c8ab69b1559d8638a61">m_NumOutputSlots</a>(numOutputSlots)</div>
+<div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>&#160; {}</div>
+<div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>&#160; </div>
+<div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>&#160; <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#aeb67c9588f5a9eadc6453e3a4c8889d3">~PreCompiledDescriptor</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>&#160; </div>
+<div class="line"><a name="l01322"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#aebc22128191c14a59356453600833344"> 1322</a></span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#aebc22128191c14a59356453600833344">m_NumInputSlots</a>;</div>
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+<div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>&#160;};</div>
+<div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>&#160;<span class="comment">/// A QLstmDescriptor for the QLstmLayer.</span></div>
+<div class="line"><a name="l01327"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml"> 1327</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml">QLstmDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>&#160;{</div>
+<div class="line"><a name="l01329"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad85386aea7d6e684da1ff46fd099962e"> 1329</a></span>&#160; <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad85386aea7d6e684da1ff46fd099962e">QLstmDescriptor</a>()</div>
+<div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>&#160; : <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ac81fb0e66dc623dc37c77f219f53a6d3">m_CellClip</a>(0.0)</div>
+<div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>&#160; , <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa6a518b65088f34803b3214334bdff61">m_ProjectionClip</a>(0.0)</div>
+<div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>&#160; , <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>(true)</div>
+<div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>&#160; , <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>(false)</div>
+<div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>&#160; , <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>(false)</div>
+<div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>&#160; , <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>(false)</div>
+<div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>&#160; , <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf">m_InputIntermediateScale</a>(0.0)</div>
+<div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>&#160; , <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189">m_ForgetIntermediateScale</a>(0.0)</div>
+<div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>&#160; , <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b">m_CellIntermediateScale</a>(0.0)</div>
+<div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>&#160; , <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d">m_OutputIntermediateScale</a>(0.0)</div>
+<div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>&#160; , <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d">m_HiddenStateZeroPoint</a>(0)</div>
+<div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>&#160; , <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a>(0.0)</div>
+<div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>&#160; {}</div>
+<div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>&#160; </div>
+<div class="line"><a name="l01344"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aec7ab932e134bb3f0955a80014df3e6e"> 1344</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aec7ab932e134bb3f0955a80014df3e6e">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml">QLstmDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ac81fb0e66dc623dc37c77f219f53a6d3">m_CellClip</a> == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ac81fb0e66dc623dc37c77f219f53a6d3">m_CellClip</a> &amp;&amp;</div>
+<div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>&#160; <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa6a518b65088f34803b3214334bdff61">m_ProjectionClip</a> == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa6a518b65088f34803b3214334bdff61">m_ProjectionClip</a> &amp;&amp;</div>
+<div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>&#160; <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a> == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a> &amp;&amp;</div>
+<div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>&#160; <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a> == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a> &amp;&amp;</div>
+<div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>&#160; <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a> == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a> &amp;&amp;</div>
+<div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>&#160; <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a> == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a> &amp;&amp;</div>
+<div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>&#160; <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf">m_InputIntermediateScale</a> == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf">m_InputIntermediateScale</a> &amp;&amp;</div>
+<div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>&#160; <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189">m_ForgetIntermediateScale</a> == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189">m_ForgetIntermediateScale</a> &amp;&amp;</div>
+<div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>&#160; <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b">m_CellIntermediateScale</a> == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b">m_CellIntermediateScale</a> &amp;&amp;</div>
+<div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>&#160; <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d">m_OutputIntermediateScale</a> == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d">m_OutputIntermediateScale</a> &amp;&amp;</div>
+<div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>&#160; <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d">m_HiddenStateZeroPoint</a> == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d">m_HiddenStateZeroPoint</a> &amp;&amp;</div>
+<div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>&#160; <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a> == rhs.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a>;</div>
+<div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>&#160; }</div>
+<div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>&#160;<span class="comment"> /// Clipping threshold value for the cell state</span></div>
+<div class="line"><a name="l01361"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ac81fb0e66dc623dc37c77f219f53a6d3"> 1361</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ac81fb0e66dc623dc37c77f219f53a6d3">m_CellClip</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>&#160;<span class="comment"> /// Clipping threshold value for the projection</span></div>
+<div class="line"><a name="l01363"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa6a518b65088f34803b3214334bdff61"> 1363</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa6a518b65088f34803b3214334bdff61">m_ProjectionClip</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>&#160;<span class="comment"> /// Enable/disable CIFG (coupled input &amp; forget gate).</span></div>
+<div class="line"><a name="l01365"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb"> 1365</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>&#160;<span class="comment"> /// Enable/disable peephole</span></div>
+<div class="line"><a name="l01367"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8"> 1367</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>&#160;<span class="comment"> /// Enable/disable the projection layer</span></div>
+<div class="line"><a name="l01369"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17"> 1369</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>&#160;<span class="comment"> /// Enable/disable layer normalization</span></div>
+<div class="line"><a name="l01371"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780"> 1371</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>&#160;<span class="comment"> /// Input intermediate quantization scale</span></div>
+<div class="line"><a name="l01373"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf"> 1373</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf">m_InputIntermediateScale</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>&#160;<span class="comment"> /// Forget intermediate quantization scale</span></div>
+<div class="line"><a name="l01375"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189"> 1375</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189">m_ForgetIntermediateScale</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>&#160;<span class="comment"> /// Cell intermediate quantization scale</span></div>
+<div class="line"><a name="l01377"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b"> 1377</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b">m_CellIntermediateScale</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>&#160;<span class="comment"> /// Output intermediate quantization scale</span></div>
+<div class="line"><a name="l01379"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d"> 1379</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d">m_OutputIntermediateScale</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>&#160;<span class="comment"> /// Hidden State zero point</span></div>
+<div class="line"><a name="l01381"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d"> 1381</a></span>&#160;<span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d">m_HiddenStateZeroPoint</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>&#160;<span class="comment"> /// Hidden State quantization scale</span></div>
+<div class="line"><a name="l01383"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98"> 1383</a></span>&#160;<span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a>;</div>
+<div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>&#160;};</div>
+<div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01386"></a><span class="lineno"> 1386</span>&#160;<span class="comment">/// A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.</span></div>
+<div class="line"><a name="l01387"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml"> 1387</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l01388"></a><span class="lineno"> 1388</span>&#160;{</div>
+<div class="line"><a name="l01389"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ad2246752a0ac080cfa2e815c6528acf9"> 1389</a></span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ad2246752a0ac080cfa2e815c6528acf9">TransposeConvolution2dDescriptor</a>() :</div>
+<div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>(0),</div>
+<div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>(0),</div>
+<div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>(0),</div>
+<div class="line"><a name="l01393"></a><span class="lineno"> 1393</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>(0),</div>
+<div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>(0),</div>
+<div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>(0),</div>
+<div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>(false),</div>
+<div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>),</div>
+<div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a9bc46a2ad56319786bad30be9ab2dc6a">m_OutputShapeEnabled</a>(false)</div>
+<div class="line"><a name="l01399"></a><span class="lineno"> 1399</span>&#160; {}</div>
+<div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>&#160; </div>
+<div class="line"><a name="l01401"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aeda9d4e5d384ce5919425df001f49751"> 1401</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aeda9d4e5d384ce5919425df001f49751">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a>&amp; rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> &amp;&amp;</div>
+<div class="line"><a name="l01404"></a><span class="lineno"> 1404</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> &amp;&amp;</div>
+<div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> &amp;&amp;</div>
+<div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> &amp;&amp;</div>
+<div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> &amp;&amp;</div>
+<div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> &amp;&amp;</div>
+<div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> &amp;&amp;</div>
+<div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> &amp;&amp;</div>
+<div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a9bc46a2ad56319786bad30be9ab2dc6a">m_OutputShapeEnabled</a> == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a9bc46a2ad56319786bad30be9ab2dc6a">m_OutputShapeEnabled</a> &amp;&amp;</div>
+<div class="line"><a name="l01412"></a><span class="lineno"> 1412</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a78f5b213a603b55d0fabea389e89f203">m_OutputShape</a> == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a78f5b213a603b55d0fabea389e89f203">m_OutputShape</a>;</div>
+<div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>&#160; }</div>
+<div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>&#160;<span class="comment"> /// Padding left value in the width dimension.</span></div>
+<div class="line"><a name="l01416"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600"> 1416</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01417"></a><span class="lineno"> 1417</span>&#160;<span class="comment"> /// Padding right value in the width dimension.</span></div>
+<div class="line"><a name="l01418"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7"> 1418</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>&#160;<span class="comment"> /// Padding top value in the height dimension.</span></div>
+<div class="line"><a name="l01420"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046"> 1420</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>&#160;<span class="comment"> /// Padding bottom value in the height dimension.</span></div>
+<div class="line"><a name="l01422"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618"> 1422</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the width dimension.</span></div>
+<div class="line"><a name="l01424"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda"> 1424</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>&#160;<span class="comment"> /// Stride value when proceeding through input for the height dimension.</span></div>
+<div class="line"><a name="l01426"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8"> 1426</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>&#160;<span class="comment"> /// Enable/disable bias.</span></div>
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+<div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>&#160;<span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div>
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+<div class="line"><a name="l01455"></a><span class="lineno"> 1455</span>&#160;<span class="comment"> /// Permutation Vector {0, 2, 3, 1}</span></div>
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+<div class="line"><a name="l01457"></a><span class="lineno"> 1457</span>&#160;<span class="comment"> /// dim &quot;0&quot; of input goes into index 0 ([ 1, X, X, X])</span></div>
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+<div class="line"><a name="l01518"></a><span class="lineno"> 1518</span>&#160; </div>
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+<div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l01521"></a><span class="lineno"> 1521</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf">m_NumGroups</a> == rhs.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf">m_NumGroups</a>;</div>
+<div class="line"><a name="l01522"></a><span class="lineno"> 1522</span>&#160; }</div>
+<div class="line"><a name="l01523"></a><span class="lineno"> 1523</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01524"></a><span class="lineno"> 1524</span>&#160;<span class="comment"> /// Number of groups for the channel shuffle operation</span></div>
+<div class="line"><a name="l01525"></a><span class="lineno"><a class="line" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf"> 1525</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf">m_NumGroups</a>;<span class="comment"></span></div>
+<div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>&#160;<span class="comment"> /// Axis to apply channel shuffle operation on</span></div>
+<div class="line"><a name="l01527"></a><span class="lineno"><a class="line" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2"> 1527</a></span>&#160;<span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a>;</div>
+<div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>&#160;};</div>
+<div class="line"><a name="l01529"></a><span class="lineno"> 1529</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01530"></a><span class="lineno"> 1530</span>&#160;<span class="comment">/// A BatchMatMulDescriptor for the BatchMatMul operator</span></div>
+<div class="line"><a name="l01531"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml"> 1531</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a> : <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a></div>
+<div class="line"><a name="l01532"></a><span class="lineno"> 1532</span>&#160;{</div>
+<div class="line"><a name="l01533"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#afeaf71922a51fe85cd5a159381dd8b13"> 1533</a></span>&#160; <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#afeaf71922a51fe85cd5a159381dd8b13">BatchMatMulDescriptor</a>(<span class="keywordtype">bool</span> transposeX = <span class="keyword">false</span>,</div>
+<div class="line"><a name="l01534"></a><span class="lineno"> 1534</span>&#160; <span class="keywordtype">bool</span> transposeY = <span class="keyword">false</span>,</div>
+<div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>&#160; <span class="keywordtype">bool</span> adjointX = <span class="keyword">false</span>,</div>
+<div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>&#160; <span class="keywordtype">bool</span> adjointY = <span class="keyword">false</span>,</div>
+<div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayoutX = <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>,</div>
+<div class="line"><a name="l01538"></a><span class="lineno"> 1538</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayoutY = <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div>
+<div class="line"><a name="l01539"></a><span class="lineno"> 1539</span>&#160; : <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#acb441bb8db19bcce78d15cdd8ceb5ea0">m_TransposeX</a>(transposeX)</div>
+<div class="line"><a name="l01540"></a><span class="lineno"> 1540</span>&#160; , <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a112b466e5d2ab9d1887178adbe3afa1c">m_TransposeY</a>(transposeY)</div>
+<div class="line"><a name="l01541"></a><span class="lineno"> 1541</span>&#160; , <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a0cf8306be7d301de0f095fff9901a525">m_AdjointX</a>(adjointX)</div>
+<div class="line"><a name="l01542"></a><span class="lineno"> 1542</span>&#160; , <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ad945fc98770356dd886a68e98a52e26b">m_AdjointY</a>(adjointY)</div>
+<div class="line"><a name="l01543"></a><span class="lineno"> 1543</span>&#160; , <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aedca000a005e091c23191e82d7e81b1d">m_DataLayoutX</a>(dataLayoutX)</div>
+<div class="line"><a name="l01544"></a><span class="lineno"> 1544</span>&#160; , <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aaf7828880989b4b9378d3e86aa6dc843">m_DataLayoutY</a>(dataLayoutY)</div>
+<div class="line"><a name="l01545"></a><span class="lineno"> 1545</span>&#160; {}</div>
+<div class="line"><a name="l01546"></a><span class="lineno"> 1546</span>&#160; </div>
+<div class="line"><a name="l01547"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a5c02af4929fee7377b0c8e0410044582"> 1547</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a5c02af4929fee7377b0c8e0410044582">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a> &amp;rhs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l01548"></a><span class="lineno"> 1548</span>&#160;<span class="keyword"> </span>{</div>
+<div class="line"><a name="l01549"></a><span class="lineno"> 1549</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#acb441bb8db19bcce78d15cdd8ceb5ea0">m_TransposeX</a> == rhs.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#acb441bb8db19bcce78d15cdd8ceb5ea0">m_TransposeX</a> &amp;&amp;</div>
+<div class="line"><a name="l01550"></a><span class="lineno"> 1550</span>&#160; <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a112b466e5d2ab9d1887178adbe3afa1c">m_TransposeY</a> == rhs.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a112b466e5d2ab9d1887178adbe3afa1c">m_TransposeY</a> &amp;&amp;</div>
+<div class="line"><a name="l01551"></a><span class="lineno"> 1551</span>&#160; <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a0cf8306be7d301de0f095fff9901a525">m_AdjointX</a> == rhs.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a0cf8306be7d301de0f095fff9901a525">m_AdjointX</a> &amp;&amp;</div>
+<div class="line"><a name="l01552"></a><span class="lineno"> 1552</span>&#160; <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ad945fc98770356dd886a68e98a52e26b">m_AdjointY</a> == rhs.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ad945fc98770356dd886a68e98a52e26b">m_AdjointY</a> &amp;&amp;</div>
+<div class="line"><a name="l01553"></a><span class="lineno"> 1553</span>&#160; <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aedca000a005e091c23191e82d7e81b1d">m_DataLayoutX</a> == rhs.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aedca000a005e091c23191e82d7e81b1d">m_DataLayoutX</a> &amp;&amp;</div>
+<div class="line"><a name="l01554"></a><span class="lineno"> 1554</span>&#160; <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aaf7828880989b4b9378d3e86aa6dc843">m_DataLayoutY</a> == rhs.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aaf7828880989b4b9378d3e86aa6dc843">m_DataLayoutY</a>;</div>
+<div class="line"><a name="l01555"></a><span class="lineno"> 1555</span>&#160; }</div>
+<div class="line"><a name="l01556"></a><span class="lineno"> 1556</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01557"></a><span class="lineno"> 1557</span>&#160;<span class="comment"> /// Transpose the slices of each input tensor</span></div>
+<div class="line"><a name="l01558"></a><span class="lineno"> 1558</span>&#160;<span class="comment"> /// Transpose and Adjoint can not both be set to true for the same tensor at the same time</span></div>
+<div class="line"><a name="l01559"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#acb441bb8db19bcce78d15cdd8ceb5ea0"> 1559</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#acb441bb8db19bcce78d15cdd8ceb5ea0">m_TransposeX</a>;</div>
+<div class="line"><a name="l01560"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a112b466e5d2ab9d1887178adbe3afa1c"> 1560</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a112b466e5d2ab9d1887178adbe3afa1c">m_TransposeY</a>;</div>
+<div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01562"></a><span class="lineno"> 1562</span>&#160;<span class="comment"> /// Adjoint the slices of each input tensor</span></div>
+<div class="line"><a name="l01563"></a><span class="lineno"> 1563</span>&#160;<span class="comment"> /// Transpose and Adjoint can not both be set to true for the same tensor at the same time</span></div>
+<div class="line"><a name="l01564"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a0cf8306be7d301de0f095fff9901a525"> 1564</a></span>&#160;<span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a0cf8306be7d301de0f095fff9901a525">m_AdjointX</a>;</div>
+<div class="line"><a name="l01565"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ad945fc98770356dd886a68e98a52e26b"> 1565</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ad945fc98770356dd886a68e98a52e26b">m_AdjointY</a>;</div>
+<div class="line"><a name="l01566"></a><span class="lineno"> 1566</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>&#160;<span class="comment"> /// Data layout of each input tensor, such as NHWC/NDHWC (leave as default for arbitrary layout)</span></div>
+<div class="line"><a name="l01568"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aedca000a005e091c23191e82d7e81b1d"> 1568</a></span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aedca000a005e091c23191e82d7e81b1d">m_DataLayoutX</a>;</div>
+<div class="line"><a name="l01569"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aaf7828880989b4b9378d3e86aa6dc843"> 1569</a></span>&#160; <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aaf7828880989b4b9378d3e86aa6dc843">m_DataLayoutY</a>;</div>
+<div class="line"><a name="l01570"></a><span class="lineno"> 1570</span>&#160; </div>
+<div class="line"><a name="l01571"></a><span class="lineno"> 1571</span>&#160; <a class="code" href="_deprecated_8hpp.xhtml#af16119336bd0dfbfbc83fc283151067e">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a>(<span class="stringliteral">&quot;This method is deprecated. Use ABI Stable &quot;</span></div>
+<div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>&#160; <span class="stringliteral">&quot;GetAxesToMul(DataLayout dataLayout, const TensorShape&amp; tensorShape) instead.&quot;</span>,</div>
+<div class="line"><a name="l01573"></a><span class="lineno"> 1573</span>&#160; <span class="stringliteral">&quot;23.05&quot;</span>)</div>
+<div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>&#160; static <a class="code" href="namespacestd.xhtml">std</a>::pair&lt;<a class="code" href="namespacestd.xhtml">std</a>::pair&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;, <a class="code" href="namespacestd.xhtml">std</a>::pair&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;&gt; <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#adea0557f6519a2d7f1f1424e3de0fc4a">GetAxesToMul</a>(</div>
+<div class="line"><a name="l01575"></a><span class="lineno"> 1575</span>&#160; const <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a>&amp; desc,</div>
+<div class="line"><a name="l01576"></a><span class="lineno"> 1576</span>&#160; const <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; tensorXShape,</div>
+<div class="line"><a name="l01577"></a><span class="lineno"> 1577</span>&#160; const <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; tensorYShape);</div>
+<div class="line"><a name="l01578"></a><span class="lineno"> 1578</span>&#160; </div>
+<div class="line"><a name="l01579"></a><span class="lineno"> 1579</span>&#160; <a class="code" href="_deprecated_8hpp.xhtml#af16119336bd0dfbfbc83fc283151067e">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a>(&quot;This method is deprecated. Use ABI Stable &quot;</div>
+<div class="line"><a name="l01580"></a><span class="lineno"> 1580</span>&#160; &quot;<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aed81894ad76effd38e1d871af4db0a59">GetAxesNotMul</a>(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout, const <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; tensorShape) instead.&quot;,</div>
+<div class="line"><a name="l01581"></a><span class="lineno"> 1581</span>&#160; &quot;23.05&quot;)</div>
+<div class="line"><a name="l01582"></a><span class="lineno"> 1582</span>&#160; static <a class="code" href="namespacestd.xhtml">std</a>::pair&lt;<a class="code" href="namespacestd.xhtml">std</a>::vector&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;, <a class="code" href="namespacestd.xhtml">std</a>::vector&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;&gt; <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aed81894ad76effd38e1d871af4db0a59">GetAxesNotMul</a>(</div>
+<div class="line"><a name="l01583"></a><span class="lineno"> 1583</span>&#160; const <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a>&amp; desc,</div>
+<div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>&#160; const <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inputXShape,</div>
+<div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>&#160; const <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inputYShape);</div>
+<div class="line"><a name="l01586"></a><span class="lineno"> 1586</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01587"></a><span class="lineno"> 1587</span>&#160;<span class="comment"> /// Static helper to get the two axes (for each input) for multiplication</span></div>
+<div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>&#160;<span class="comment"></span> static <a class="code" href="namespacestd.xhtml">std</a>::pair&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt; <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#adea0557f6519a2d7f1f1424e3de0fc4a">GetAxesToMul</a>(</div>
+<div class="line"><a name="l01589"></a><span class="lineno"> 1589</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout,</div>
+<div class="line"><a name="l01590"></a><span class="lineno"> 1590</span>&#160; const <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; tensorShape);</div>
+<div class="line"><a name="l01591"></a><span class="lineno"> 1591</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01592"></a><span class="lineno"> 1592</span>&#160;<span class="comment"> /// Static helper to get the axes (for each input) that will not be multiplied together</span></div>
+<div class="line"><a name="l01593"></a><span class="lineno"> 1593</span>&#160;<span class="comment"></span> static <a class="code" href="namespacestd.xhtml">std</a>::vector&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt; <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aed81894ad76effd38e1d871af4db0a59">GetAxesNotMul</a>(</div>
+<div class="line"><a name="l01594"></a><span class="lineno"> 1594</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout,</div>
+<div class="line"><a name="l01595"></a><span class="lineno"> 1595</span>&#160; const <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; tensorShape);</div>
+<div class="line"><a name="l01596"></a><span class="lineno"> 1596</span>&#160;<span class="comment"></span> </div>
+<div class="line"><a name="l01597"></a><span class="lineno"> 1597</span>&#160;<span class="comment"> /// Static helper to get the axes which will be transposed</span></div>
+<div class="line"><a name="l01598"></a><span class="lineno"> 1598</span>&#160;<span class="comment"></span> static <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">PermutationVector</a> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a85e74c2aeaf6fc124e9582329a82d72b">GetPermuteVec</a>(</div>
+<div class="line"><a name="l01599"></a><span class="lineno"> 1599</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout,</div>
+<div class="line"><a name="l01600"></a><span class="lineno"> 1600</span>&#160; const <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; tensorShape);</div>
+<div class="line"><a name="l01601"></a><span class="lineno"> 1601</span>&#160;};</div>
+<div class="line"><a name="l01602"></a><span class="lineno"> 1602</span>&#160; </div>
+<div class="line"><a name="l01603"></a><span class="lineno"> 1603</span>&#160;} <span class="comment">// namespace armnn</span></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
+<div class="ttc" id="astructarmnn_1_1_views_descriptor_xhtml_aee83273c36d9506ce40c904a93c6ab8b"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#aee83273c36d9506ce40c904a93c6ab8b">armnn::ViewsDescriptor::operator=</a></div><div class="ttdeci">ViewsDescriptor &amp; operator=(ViewsDescriptor rhs)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00268">Descriptors.cpp:268</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml_ac81fb0e66dc623dc37c77f219f53a6d3"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#ac81fb0e66dc623dc37c77f219f53a6d3">armnn::QLstmDescriptor::m_CellClip</a></div><div class="ttdeci">float m_CellClip</div><div class="ttdoc">Clipping threshold value for the cell state.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01361">Descriptors.hpp:1361</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">armnn::QLstmDescriptor::m_LayerNormEnabled</a></div><div class="ttdeci">bool m_LayerNormEnabled</div><div class="ttdoc">Enable/disable layer normalization.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01371">Descriptors.hpp:1371</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a></div><div class="ttdeci">@ Abs</div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_xhtml_a9bc46a2ad56319786bad30be9ab2dc6a"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a9bc46a2ad56319786bad30be9ab2dc6a">armnn::TransposeConvolution2dDescriptor::m_OutputShapeEnabled</a></div><div class="ttdeci">bool m_OutputShapeEnabled</div><div class="ttdoc">Output shape if it has been specified.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01432">Descriptors.hpp:1432</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_elementwise_unary_descriptor_xhtml_a3f8539a92fa960a194527b03c2183172"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a3f8539a92fa960a194527b03c2183172">armnn::ElementwiseUnaryDescriptor::ElementwiseUnaryDescriptor</a></div><div class="ttdeci">ElementwiseUnaryDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00111">Descriptors.hpp:111</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_logical_binary_descriptor_xhtml_a31b09a0610040e8609c945c5adfaaee2"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.xhtml#a31b09a0610040e8609c945c5adfaaee2">armnn::LogicalBinaryDescriptor::LogicalBinaryDescriptor</a></div><div class="ttdeci">LogicalBinaryDescriptor(LogicalBinaryOperation operation)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01471">Descriptors.hpp:1471</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::Pooling3dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00447">Descriptors.hpp:447</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_channel_shuffle_descriptor_xhtml_a3613459765b8bc457405eb2708a4795f"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a3613459765b8bc457405eb2708a4795f">armnn::ChannelShuffleDescriptor::ChannelShuffleDescriptor</a></div><div class="ttdeci">ChannelShuffleDescriptor(const uint32_t &amp;numGroups, const uint32_t &amp;axis)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01515">Descriptors.hpp:1515</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_xhtml_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">armnn::InstanceNormalizationDescriptor::m_Eps</a></div><div class="ttdeci">float m_Eps</div><div class="ttdoc">Epsilon, small scalar value added to variance to avoid dividing by zero. Defaults to 1e-12f.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00837">Descriptors.hpp:837</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Pooling2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00389">Descriptors.hpp:389</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_comparison_descriptor_xhtml_abc1707b90d0ceb3594945256af70c839"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml#abc1707b90d0ceb3594945256af70c839">armnn::ComparisonDescriptor::ComparisonDescriptor</a></div><div class="ttdeci">ComparisonDescriptor(ComparisonOperation operation)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00095">Descriptors.hpp:95</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_null_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_null_descriptor.xhtml">armnn::NullDescriptor</a></div><div class="ttdoc">Null Descriptor used as a return value from the IConnectableLayer GetParameters method by layers whic...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00030">Descriptors.hpp:30</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_stack_descriptor_xhtml_a7174d76ab2205127ef4c2255c7169c5b"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#a7174d76ab2205127ef4c2255c7169c5b">armnn::StackDescriptor::StackDescriptor</a></div><div class="ttdeci">StackDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01200">Descriptors.hpp:1200</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_l2_normalization_descriptor_xhtml_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">armnn::L2NormalizationDescriptor::m_Eps</a></div><div class="ttdeci">float m_Eps</div><div class="ttdoc">Used to avoid dividing by zero.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00790">Descriptors.hpp:790</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_stand_in_descriptor_xhtml_ac2ecc61f3502ac3886226a1b6c02d9b3"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#ac2ecc61f3502ac3886226a1b6c02d9b3">armnn::StandInDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const StandInDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01237">Descriptors.hpp:1237</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::Convolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00552">Descriptors.hpp:552</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_ad605d1661fa0d8c7fea651d82fbe11c9"><div class="ttname"><a href="namespacearmnn.xhtml#ad605d1661fa0d8c7fea651d82fbe11c9">armnn::NormalizationAlgorithmMethod</a></div><div class="ttdeci">NormalizationAlgorithmMethod</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00199">Types.hpp:199</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml_a3dcd10ca3ea2e132558b1e2814668c15"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a3dcd10ca3ea2e132558b1e2814668c15">armnn::LstmDescriptor::m_TimeMajor</a></div><div class="ttdeci">bool m_TimeMajor</div><div class="ttdoc">Enable/disable time major.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01101">Descriptors.hpp:1101</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_stack_descriptor_xhtml_a2bea87b470268bb0b73457c3733dbc04"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#a2bea87b470268bb0b73457c3733dbc04">armnn::StackDescriptor::m_InputShape</a></div><div class="ttdeci">TensorShape m_InputShape</div><div class="ttdoc">Required shape of all input tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01224">Descriptors.hpp:1224</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_adf2e5515c4c36a3e7e46bb8b83c6754e"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754e">armnn::OutputShapeRounding</a></div><div class="ttdeci">OutputShapeRounding</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00207">Types.hpp:207</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_acb441bb8db19bcce78d15cdd8ceb5ea0"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#acb441bb8db19bcce78d15cdd8ceb5ea0">armnn::BatchMatMulDescriptor::m_TransposeX</a></div><div class="ttdeci">bool m_TransposeX</div><div class="ttdoc">Transpose the slices of each input tensor Transpose and Adjoint can not both be set to true for the s...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01559">Descriptors.hpp:1559</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::TransposeConvolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01422">Descriptors.hpp:1422</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_a62938964ffd34d5af3f2d56ca1183b18"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a62938964ffd34d5af3f2d56ca1183b18">armnn::Convolution2dDescriptor::GetNumInputs</a></div><div class="ttdeci">uint32_t GetNumInputs() const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00443">Descriptors.cpp:443</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::Convolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00550">Descriptors.hpp:550</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pad_descriptor_xhtml_acd6df4cac247b20fb2b6a1077299cb1f"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#acd6df4cac247b20fb2b6a1077299cb1f">armnn::PadDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const PadDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01156">Descriptors.hpp:1156</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fake_quantization_descriptor_xhtml_a4f25330d63abd7dc45a77c17efb9eb8f"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a4f25330d63abd7dc45a77c17efb9eb8f">armnn::FakeQuantizationDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const FakeQuantizationDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00881">Descriptors.hpp:881</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_views_descriptor_xhtml_a35546e7b56e6e972a495b48748478ede"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a35546e7b56e6e972a495b48748478ede">armnn::ViewsDescriptor::GetNumViews</a></div><div class="ttdeci">uint32_t GetNumViews() const</div><div class="ttdoc">Get the number of views.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00295">Descriptors.cpp:295</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_reshape_descriptor_xhtml_aa56cfbc7e14b271ba389e064a769e2f2"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml#aa56cfbc7e14b271ba389e064a769e2f2">armnn::ReshapeDescriptor::ReshapeDescriptor</a></div><div class="ttdeci">ReshapeDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00972">Descriptors.hpp:972</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml_aa6a518b65088f34803b3214334bdff61"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa6a518b65088f34803b3214334bdff61">armnn::QLstmDescriptor::m_ProjectionClip</a></div><div class="ttdeci">float m_ProjectionClip</div><div class="ttdoc">Clipping threshold value for the projection.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01363">Descriptors.hpp:1363</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Pooling3dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00461">Descriptors.hpp:461</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_views_descriptor_xhtml_ab78e6fe963508c1ac5c00d04bb3361a3"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#ab78e6fe963508c1ac5c00d04bb3361a3">armnn::ViewsDescriptor::GetViewOrigin</a></div><div class="ttdeci">const uint32_t * GetViewOrigin(uint32_t idx) const</div><div class="ttdoc">Get the view origin at the int value idx.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00305">Descriptors.cpp:305</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::TransposeConvolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01416">Descriptors.hpp:1416</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml_ad85386aea7d6e684da1ff46fd099962e"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad85386aea7d6e684da1ff46fd099962e">armnn::QLstmDescriptor::QLstmDescriptor</a></div><div class="ttdeci">QLstmDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01329">Descriptors.hpp:1329</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::FullyConnectedDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00494">Descriptors.hpp:494</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_abe18a5033f2ab9c0de82c676b48f5437"><div class="ttname"><a href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437">armnn::NormalizationAlgorithmChannel</a></div><div class="ttdeci">NormalizationAlgorithmChannel</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00193">Types.hpp:193</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_gather_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.xhtml">armnn::GatherDescriptor</a></div><div class="ttdoc">A GatherDescriptor for the GatherLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00912">Descriptors.hpp:912</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00737">Descriptors.hpp:737</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5">armnn::ComparisonOperation::Equal</a></div><div class="ttdeci">@ Equal</div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a></div><div class="ttdoc">A TransposeDescriptor for the TransposeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01437">Descriptors.hpp:1437</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml_afec7f36158448f723b426a9527acb189"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189">armnn::QLstmDescriptor::m_ForgetIntermediateScale</a></div><div class="ttdeci">float m_ForgetIntermediateScale</div><div class="ttdoc">Forget intermediate quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01375">Descriptors.hpp:1375</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::BatchNormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00811">Descriptors.hpp:811</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_slice_descriptor_xhtml_a905d0b4a55652d69f18cef769e6c739f"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml#a905d0b4a55652d69f18cef769e6c739f">armnn::SliceDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const SliceDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01185">Descriptors.hpp:1185</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::TransposeConvolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01420">Descriptors.hpp:1420</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_elementwise_unary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">armnn::ElementwiseUnaryDescriptor</a></div><div class="ttdoc">A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00109">Descriptors.hpp:109</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_stand_in_descriptor_xhtml_a22073dfd53bf509848f43a2f0d799496"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#a22073dfd53bf509848f43a2f0d799496">armnn::StandInDescriptor::StandInDescriptor</a></div><div class="ttdeci">StandInDescriptor(uint32_t numInputs, uint32_t numOutputs)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01232">Descriptors.hpp:1232</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pad_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml">armnn::PadDescriptor</a></div><div class="ttdoc">A PadDescriptor for the PadLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01143">Descriptors.hpp:1143</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_stack_descriptor_xhtml_ac6edc657f681c74f48d0ce16b26d2e49"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#ac6edc657f681c74f48d0ce16b26d2e49">armnn::StackDescriptor::StackDescriptor</a></div><div class="ttdeci">StackDescriptor(uint32_t axis, uint32_t numInputs, const TensorShape &amp;inputShape)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01206">Descriptors.hpp:1206</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_slice_descriptor_xhtml_a6d81f59d176cf5b1b7f7b16653cb909c"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml#a6d81f59d176cf5b1b7f7b16653cb909c">armnn::SliceDescriptor::SliceDescriptor</a></div><div class="ttdeci">SliceDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01182">Descriptors.hpp:1182</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00062">Types.hpp:62</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_softmax_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00157">Descriptors.hpp:157</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml_a35546e7b56e6e972a495b48748478ede"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a35546e7b56e6e972a495b48748478ede">armnn::OriginsDescriptor::GetNumViews</a></div><div class="ttdeci">uint32_t GetNumViews() const</div><div class="ttdoc">Get the number of views.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00187">Descriptors.cpp:187</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_ab297e72fab7f2ebba2ffd05b11bfbf7a"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#ab297e72fab7f2ebba2ffd05b11bfbf7a">armnn::Convolution2dDescriptor::Convolution2dDescriptor</a></div><div class="ttdeci">Convolution2dDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00504">Descriptors.hpp:504</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_arg_min_max_descriptor_xhtml_a42d192541edb2334e194365b87423b5e"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a42d192541edb2334e194365b87423b5e">armnn::ArgMinMaxDescriptor::ArgMinMaxDescriptor</a></div><div class="ttdeci">ArgMinMaxDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00069">Descriptors.hpp:69</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">armnn::Convolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation along y axis.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00548">Descriptors.hpp:548</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55"><div class="ttname"><a href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalBinaryOperation::LogicalAnd</a></div><div class="ttdeci">@ LogicalAnd</div></div>
+<div class="ttc" id="astructarmnn_1_1_comparison_descriptor_xhtml_a865dc4f43cb0ff01a1dcf78036912fd1"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">armnn::ComparisonDescriptor::m_Operation</a></div><div class="ttdeci">ComparisonOperation m_Operation</div><div class="ttdoc">Specifies the comparison operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00105">Descriptors.hpp:105</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::Convolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00540">Descriptors.hpp:540</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_stack_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml">armnn::StackDescriptor</a></div><div class="ttdoc">A StackDescriptor for the StackLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01198">Descriptors.hpp:1198</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml">armnn::SliceDescriptor</a></div><div class="ttdoc">A SliceDescriptor for the SliceLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01175">Descriptors.hpp:1175</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">armnn::OriginsDescriptor::GetNumDimensions</a></div><div class="ttdeci">uint32_t GetNumDimensions() const</div><div class="ttdoc">Get the number of dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00192">Descriptors.cpp:192</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_activation_descriptor_xhtml_af045269be0c755dbf3c3b8c4d71a88af"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af045269be0c755dbf3c3b8c4d71a88af">armnn::ActivationDescriptor::ActivationDescriptor</a></div><div class="ttdeci">ActivationDescriptor(armnn::ActivationFunction activation, float a=0, float b=0)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00044">Descriptors.hpp:44</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a3941f674c071c9503e00d2b59e92e454"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a3941f674c071c9503e00d2b59e92e454">armnn::BatchToSpaceNdDescriptor::m_Crops</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; m_Crops</div><div class="ttdoc">The values to crop from the input dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00868">Descriptors.hpp:868</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Convolution3dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00597">Descriptors.hpp:597</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_resize_descriptor_xhtml_a2c16307e3575b3bfcd9d33a3923bec73"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a2c16307e3575b3bfcd9d33a3923bec73">armnn::ResizeDescriptor::ResizeDescriptor</a></div><div class="ttdeci">ResizeDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00934">Descriptors.hpp:934</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::OutputShapeRounding::Floor</a></div><div class="ttdeci">@ Floor</div></div>
+<div class="ttc" id="astructarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00036">Descriptors.hpp:36</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_reduce_descriptor_xhtml_aa57c67b1da0011b1abb30170146e870f"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml#aa57c67b1da0011b1abb30170146e870f">armnn::ReduceDescriptor::m_ReduceOperation</a></div><div class="ttdeci">ReduceOperation m_ReduceOperation</div><div class="ttdoc">Specifies the reduction operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01505">Descriptors.hpp:1505</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_reshape_descriptor_xhtml_a382377c9853a4aca845b50ba73a74c79"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml#a382377c9853a4aca845b50ba73a74c79">armnn::ReshapeDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const ReshapeDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00980">Descriptors.hpp:980</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::Pooling3dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00445">Descriptors.hpp:445</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fill_descriptor_xhtml_ab424db19258eeff7f27ff87e9b74bf5e"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.xhtml#ab424db19258eeff7f27ff87e9b74bf5e">armnn::FillDescriptor::FillDescriptor</a></div><div class="ttdeci">FillDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00895">Descriptors.hpp:895</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_afeab6350b2194f924f7e73af2f7c0c5c"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#afeab6350b2194f924f7e73af2f7c0c5c">armnn::StridedSliceDescriptor::StridedSliceDescriptor</a></div><div class="ttdeci">StridedSliceDescriptor(const std::vector&lt; int &gt; &amp;begin, const std::vector&lt; int &gt; &amp;end, const std::vector&lt; int &gt; &amp;stride)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01252">Descriptors.hpp:1252</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01049">Descriptors.hpp:1049</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00475">Descriptors.hpp:475</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_views_descriptor_xhtml_a85dcac1ac31524ea0f9d16a0a939bd75"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a85dcac1ac31524ea0f9d16a0a939bd75">armnn::ViewsDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const ViewsDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00274">Descriptors.cpp:274</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_a61081be1483984e33db452c75d569f51"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61081be1483984e33db452c75d569f51">armnn::StridedSliceDescriptor::m_BeginMask</a></div><div class="ttdeci">int32_t m_BeginMask</div><div class="ttdoc">Begin mask value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01297">Descriptors.hpp:1297</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_afeaf71922a51fe85cd5a159381dd8b13"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#afeaf71922a51fe85cd5a159381dd8b13">armnn::BatchMatMulDescriptor::BatchMatMulDescriptor</a></div><div class="ttdeci">BatchMatMulDescriptor(bool transposeX=false, bool transposeY=false, bool adjointX=false, bool adjointY=false, DataLayout dataLayoutX=DataLayout::NCHW, DataLayout dataLayoutY=DataLayout::NCHW)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01533">Descriptors.hpp:1533</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_channel_shuffle_descriptor_xhtml_a1953d00371489c32ebded5a42eabc0cf"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf">armnn::ChannelShuffleDescriptor::m_NumGroups</a></div><div class="ttdeci">uint32_t m_NumGroups</div><div class="ttdoc">Number of groups for the channel shuffle operation.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01525">Descriptors.hpp:1525</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_stand_in_descriptor_xhtml_aed6086070440ceb94129bef06f70173f"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">armnn::StandInDescriptor::m_NumInputs</a></div><div class="ttdeci">uint32_t m_NumInputs</div><div class="ttdoc">Number of input tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01244">Descriptors.hpp:1244</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">armnn::Convolution3dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation along y axis.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00617">Descriptors.hpp:617</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml_aae1f4844cfb511b5b3a25c6761483624"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#aae1f4844cfb511b5b3a25c6761483624">armnn::OriginsDescriptor::ReorderOrigins</a></div><div class="ttdeci">void ReorderOrigins(unsigned int *newOrdering, unsigned int numNewOrdering)</div><div class="ttdoc">Reorders the viewOrigins in accordance with the indices presented in newOrdering array.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00204">Descriptors.cpp:204</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_xhtml_a78f5b213a603b55d0fabea389e89f203"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a78f5b213a603b55d0fabea389e89f203">armnn::TransposeConvolution2dDescriptor::m_OutputShape</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_OutputShape</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01433">Descriptors.hpp:1433</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_arg_min_max_descriptor_xhtml_a214c3636fdf0ea5bac8edb42d0e6c7f0"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">armnn::ArgMinMaxDescriptor::m_Axis</a></div><div class="ttdeci">int m_Axis</div><div class="ttdoc">Axis to reduce across the input tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00083">Descriptors.hpp:83</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::SpaceToBatchNdDescriptor::m_PadList</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; m_PadList</div><div class="ttdoc">Specifies the padding values for the input dimension: heightPad{top, bottom} widthPad{left,...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01016">Descriptors.hpp:1016</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_descriptor_xhtml_af4d882230882f20ef1500510e5ff4c87"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml#af4d882230882f20ef1500510e5ff4c87">armnn::TransposeDescriptor::TransposeDescriptor</a></div><div class="ttdeci">TransposeDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01439">Descriptors.hpp:1439</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01531">Descriptors.hpp:1531</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_comparison_descriptor_xhtml_a9a22f5f1ccbe51f97fb42a5fbbe12774"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml#a9a22f5f1ccbe51f97fb42a5fbbe12774">armnn::ComparisonDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const ComparisonDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00099">Descriptors.hpp:99</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_permute_descriptor_xhtml_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::PermuteDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination,...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00153">Descriptors.hpp:153</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a62938964ffd34d5af3f2d56ca1183b18"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a62938964ffd34d5af3f2d56ca1183b18">armnn::DepthwiseConvolution2dDescriptor::GetNumInputs</a></div><div class="ttdeci">uint32_t GetNumInputs() const</div><div class="ttdoc">Get the number of views/inputs.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00453">Descriptors.cpp:453</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_resize_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml">armnn::ResizeDescriptor</a></div><div class="ttdoc">A ResizeDescriptor for the ResizeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00932">Descriptors.hpp:932</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_arg_min_max_descriptor_xhtml_abce784834696eb928c620f1fafe71a8d"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml#abce784834696eb928c620f1fafe71a8d">armnn::ArgMinMaxDescriptor::m_Output_Type</a></div><div class="ttdeci">armnn::DataType m_Output_Type</div><div class="ttdoc">Deprecated and will be removed in future release.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00085">Descriptors.hpp:85</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_xhtml_a2d3dcfc10f90adedc995b64211dab6e9"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#a2d3dcfc10f90adedc995b64211dab6e9">armnn::FullyConnectedDescriptor::m_ConstantWeights</a></div><div class="ttdeci">bool m_ConstantWeights</div><div class="ttdoc">Enable/disable constant weights and biases.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00498">Descriptors.hpp:498</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml">armnn::StridedSliceDescriptor</a></div><div class="ttdoc">A StridedSliceDescriptor for the StridedSliceLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01250">Descriptors.hpp:1250</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_a5699e8606c37d18c03910b242cd1b010"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">armnn::Pooling2dDescriptor::m_PoolHeight</a></div><div class="ttdeci">uint32_t m_PoolHeight</div><div class="ttdoc">Pooling height value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00385">Descriptors.hpp:385</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_a118fe06b7c2599da60398ee311ede923"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a118fe06b7c2599da60398ee311ede923">armnn::StridedSliceDescriptor::m_Begin</a></div><div class="ttdeci">std::vector&lt; int &gt; m_Begin</div><div class="ttdoc">Begin values for the input that will be sliced.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01289">Descriptors.hpp:1289</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_xhtml_a2b4d1e836dadf7f093ac47a42bb875de"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a2b4d1e836dadf7f093ac47a42bb875de">armnn::SpaceToDepthDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const SpaceToDepthDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01033">Descriptors.hpp:1033</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_reduce_descriptor_xhtml_aa1c6fc8c96404252f1072632fc5acb59"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml#aa1c6fc8c96404252f1072632fc5acb59">armnn::ReduceDescriptor::m_vAxis</a></div><div class="ttdeci">std::vector&lt; uint32_t &gt; m_vAxis</div><div class="ttdoc">The indices of the dimensions to reduce.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01503">Descriptors.hpp:1503</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml">armnn::Pooling3dDescriptor</a></div><div class="ttdoc">A Pooling3dDescriptor for the Pooling3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00399">Descriptors.hpp:399</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_reduce_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml">armnn::ReduceDescriptor</a></div><div class="ttdoc">A ReduceDescriptor for the REDUCE operators.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01485">Descriptors.hpp:1485</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::TransposeConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01428">Descriptors.hpp:1428</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml_ab78e6fe963508c1ac5c00d04bb3361a3"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#ab78e6fe963508c1ac5c00d04bb3361a3">armnn::OriginsDescriptor::GetViewOrigin</a></div><div class="ttdeci">const uint32_t * GetViewOrigin(uint32_t idx) const</div><div class="ttdoc">Return the view origin at the int value idx.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00197">Descriptors.cpp:197</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml_a5a41cf9db1648399ac8c226101daf066"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a5a41cf9db1648399ac8c226101daf066">armnn::OriginsDescriptor::OriginsDescriptor</a></div><div class="ttdeci">OriginsDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00082">Descriptors.cpp:82</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml_a5b192c5fcd96a0f75542524cf646b355"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a5b192c5fcd96a0f75542524cf646b355">armnn::OriginsDescriptor::SetConcatAxis</a></div><div class="ttdeci">void SetConcatAxis(unsigned int concatAxis)</div><div class="ttdoc">Set the concatenation axis value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00158">Descriptors.cpp:158</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::Convolution2dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation along x axis.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00546">Descriptors.hpp:546</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml_ae72089bcab60ac175557f4241b16a014"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">armnn::DetectionPostProcessDescriptor::m_MaxDetections</a></div><div class="ttdeci">uint32_t m_MaxDetections</div><div class="ttdoc">Maximum numbers of detections.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00713">Descriptors.hpp:713</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml_a0c0e7d9253dee85be237536cf1d7b0ac"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a0c0e7d9253dee85be237536cf1d7b0ac">armnn::OriginsDescriptor::swap</a></div><div class="ttdeci">friend void swap(OriginsDescriptor &amp;first, OriginsDescriptor &amp;second)</div><div class="ttdoc">Swap the ViewsDescriptor values first and second.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00350">Descriptors.cpp:350</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_a6d8fb685cc1ff224f25aa127fcf62c86"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">armnn::Pooling3dDescriptor::m_PoolWidth</a></div><div class="ttdeci">uint32_t m_PoolWidth</div><div class="ttdoc">Pooling width value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00455">Descriptors.hpp:455</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_comparison_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml">armnn::ComparisonDescriptor</a></div><div class="ttdoc">A ComparisonDescriptor for the ComparisonLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00089">Descriptors.hpp:89</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml_a3f7f9ecbcc21de1bf2090474c6360014"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a3f7f9ecbcc21de1bf2090474c6360014">armnn::LstmDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const LstmDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01068">Descriptors.hpp:1068</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml_a1efc8be2c15fe67917c60041dc926701"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a1efc8be2c15fe67917c60041dc926701">armnn::OriginsDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const OriginsDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00135">Descriptors.cpp:135</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div><div class="ttdeci">@ Signed32</div></div>
+<div class="ttc" id="astructarmnn_1_1_stand_in_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml">armnn::StandInDescriptor</a></div><div class="ttdoc">A StandInDescriptor for the StandIn layer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01228">Descriptors.hpp:1228</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_affb5b68b3eba3ed45a06c7cde7781962"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">armnn::Pooling3dDescriptor::m_OutputShapeRounding</a></div><div class="ttdeci">OutputShapeRounding m_OutputShapeRounding</div><div class="ttdoc">The rounding method for the output shape. (Floor, Ceiling).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00467">Descriptors.hpp:467</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_a61b444f8d8445c1144c2126b043ce331"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61b444f8d8445c1144c2126b043ce331">armnn::StridedSliceDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const StridedSliceDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01270">Descriptors.hpp:1270</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::LstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable cifg (coupled input &amp; forget gate).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01093">Descriptors.hpp:1093</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_a0031997bf43bd2747656c31e4977793a"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">armnn::Pooling2dDescriptor::m_PoolType</a></div><div class="ttdeci">PoolingAlgorithm m_PoolType</div><div class="ttdoc">The pooling algorithm to use (Max. Average, L2).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00373">Descriptors.hpp:373</a></div></div>
+<div class="ttc" id="a_deprecated_8hpp_xhtml_af16119336bd0dfbfbc83fc283151067e"><div class="ttname"><a href="_deprecated_8hpp.xhtml#af16119336bd0dfbfbc83fc283151067e">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a></div><div class="ttdeci">#define ARMNN_DEPRECATED_MSG_REMOVAL_DATE(message, removed_in_release)</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.xhtml#l00044">Deprecated.hpp:44</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">armnn::LstmDescriptor::m_LayerNormEnabled</a></div><div class="ttdeci">bool m_LayerNormEnabled</div><div class="ttdoc">Enable/disable layer normalization.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01099">Descriptors.hpp:1099</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_logical_binary_descriptor_xhtml_a32c95d929d2e2e0fa7fc1a3a25865eb0"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.xhtml#a32c95d929d2e2e0fa7fc1a3a25865eb0">armnn::LogicalBinaryDescriptor::m_Operation</a></div><div class="ttdeci">LogicalBinaryOperation m_Operation</div><div class="ttdoc">Specifies the logical operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01481">Descriptors.hpp:1481</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_logical_binary_descriptor_xhtml_a3df6ab97c762dabddea5ca5d930e10fd"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.xhtml#a3df6ab97c762dabddea5ca5d930e10fd">armnn::LogicalBinaryDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const LogicalBinaryDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01475">Descriptors.hpp:1475</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_views_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00224">Descriptors.hpp:224</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_xhtml_a700f6dc2a7a912cd37ee7dbfcc9220b9"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a700f6dc2a7a912cd37ee7dbfcc9220b9">armnn::SpaceToDepthDescriptor::SpaceToDepthDescriptor</a></div><div class="ttdeci">SpaceToDepthDescriptor(unsigned int blockSize, DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01028">Descriptors.hpp:1028</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::DepthwiseConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00676">Descriptors.hpp:676</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_mean_descriptor_xhtml_a1f0d67b087c491248bd1cde3ff995a95"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">armnn::MeanDescriptor::m_Axis</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_Axis</div><div class="ttdoc">Values for the dimensions to reduce.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01137">Descriptors.hpp:1137</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml_ae64523937ea910030ad66fee6fddd51f"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f">armnn::DetectionPostProcessDescriptor::m_ScaleX</a></div><div class="ttdeci">float m_ScaleX</div><div class="ttdoc">Center size encoding scale x.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00727">Descriptors.hpp:727</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Pooling3dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00443">Descriptors.hpp:443</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::Convolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00538">Descriptors.hpp:538</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::Pooling2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00395">Descriptors.hpp:395</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_a434e9cc9eba8c408a1c784db20d6ad61"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a434e9cc9eba8c408a1c784db20d6ad61">armnn::StridedSliceDescriptor::StridedSliceDescriptor</a></div><div class="ttdeci">StridedSliceDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01266">Descriptors.hpp:1266</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_a7c91eda2b331d607bae92cd8ebf50bb9"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a7c91eda2b331d607bae92cd8ebf50bb9">armnn::StridedSliceDescriptor::m_NewAxisMask</a></div><div class="ttdeci">int32_t m_NewAxisMask</div><div class="ttdoc">New axis mask value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01307">Descriptors.hpp:1307</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::Convolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00536">Descriptors.hpp:536</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::Convolution3dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation along x axis.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00615">Descriptors.hpp:615</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml_a379929e3b277f1ef94f3ce645870589d"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a379929e3b277f1ef94f3ce645870589d">armnn::OriginsDescriptor::GetConcatAxis</a></div><div class="ttdeci">unsigned int GetConcatAxis() const</div><div class="ttdoc">Get the concatenation axis value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00162">Descriptors.cpp:162</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_xhtml_a36f0ec397ba668e40fbb48a806691feb"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a36f0ec397ba668e40fbb48a806691feb">armnn::InstanceNormalizationDescriptor::InstanceNormalizationDescriptor</a></div><div class="ttdeci">InstanceNormalizationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00817">Descriptors.hpp:817</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pre_compiled_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.xhtml">armnn::PreCompiledDescriptor</a></div><div class="ttdoc">A PreCompiledDescriptor for the PreCompiledLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01314">Descriptors.hpp:1314</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_a16543bce17aa2e4d6e81c88f74227192"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a16543bce17aa2e4d6e81c88f74227192">armnn::Convolution3dDescriptor::m_DilationZ</a></div><div class="ttdeci">uint32_t m_DilationZ</div><div class="ttdoc">Dilation along z axis.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00619">Descriptors.hpp:619</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_xhtml_ad646266bca8921076c3bcfa68931d375"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#ad646266bca8921076c3bcfa68931d375">armnn::SpaceToBatchNdDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const SpaceToBatchNdDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01005">Descriptors.hpp:1005</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_xhtml_a81499fc0c8844290c0f273b6c5e184a1"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#a81499fc0c8844290c0f273b6c5e184a1">armnn::FullyConnectedDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const FullyConnectedDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00483">Descriptors.hpp:483</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Pooling2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00387">Descriptors.hpp:387</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_xhtml_a4218cb8f0071de0300393c78e3900b80"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a4218cb8f0071de0300393c78e3900b80">armnn::InstanceNormalizationDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const InstanceNormalizationDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00824">Descriptors.hpp:824</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::DepthwiseConvolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00668">Descriptors.hpp:668</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeae"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeae">armnn::ArgMinMaxFunction</a></div><div class="ttdeci">ArgMinMaxFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00102">Types.hpp:102</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::DepthwiseConvolution2dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation factor value for width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00672">Descriptors.hpp:672</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_logical_binary_descriptor_xhtml_a51f5857f7037128a859546af624c1fe4"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.xhtml#a51f5857f7037128a859546af624c1fe4">armnn::LogicalBinaryDescriptor::LogicalBinaryDescriptor</a></div><div class="ttdeci">LogicalBinaryDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01467">Descriptors.hpp:1467</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml_a4392dd6b4862cc9cf95ae8f1001ba592"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592">armnn::DetectionPostProcessDescriptor::m_NmsScoreThreshold</a></div><div class="ttdeci">float m_NmsScoreThreshold</div><div class="ttdoc">NMS score threshold.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00719">Descriptors.hpp:719</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml_aec7ab932e134bb3f0955a80014df3e6e"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#aec7ab932e134bb3f0955a80014df3e6e">armnn::QLstmDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const QLstmDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01344">Descriptors.hpp:1344</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml_a4a6bc0b32c1db8d15971cae0ed4483a1"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a4a6bc0b32c1db8d15971cae0ed4483a1">armnn::LstmDescriptor::LstmDescriptor</a></div><div class="ttdeci">LstmDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01051">Descriptors.hpp:1051</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">armnn::PaddingMode::Constant</a></div><div class="ttdeci">@ Constant</div></div>
+<div class="ttc" id="astructarmnn_1_1_l2_normalization_descriptor_xhtml_affc4fe96bd046f459ae712bd811b9d28"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml#affc4fe96bd046f459ae712bd811b9d28">armnn::L2NormalizationDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const L2NormalizationDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00784">Descriptors.hpp:784</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml_a09e1f097944f61cc901240f9300364cf"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf">armnn::LstmDescriptor::m_InputIntermediateScale</a></div><div class="ttdeci">float m_InputIntermediateScale</div><div class="ttdoc">Input intermediate quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01103">Descriptors.hpp:1103</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_views_descriptor_xhtml_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">armnn::ViewsDescriptor::GetNumDimensions</a></div><div class="ttdeci">uint32_t GetNumDimensions() const</div><div class="ttdoc">Get the number of dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00300">Descriptors.cpp:300</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_xhtml_a05945f080edf694b631960728b87aadb"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a05945f080edf694b631960728b87aadb">armnn::NormalizationDescriptor::m_NormMethodType</a></div><div class="ttdeci">NormalizationAlgorithmMethod m_NormMethodType</div><div class="ttdoc">Normalization method algorithm to use (LocalBrightness, LocalContrast).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00763">Descriptors.hpp:763</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml_a0477ee1b44ace6090119178eea78cb0b"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b">armnn::QLstmDescriptor::m_CellIntermediateScale</a></div><div class="ttdeci">float m_CellIntermediateScale</div><div class="ttdoc">Cell intermediate quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01377">Descriptors.hpp:1377</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::DepthwiseConvolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00660">Descriptors.hpp:660</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_afc4731b55776f71af1e14c799c6e6e2c"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#afc4731b55776f71af1e14c799c6e6e2c">armnn::StridedSliceDescriptor::GetStopForAxis</a></div><div class="ttdeci">int GetStopForAxis(const TensorShape &amp;inputShape, unsigned int axis, int startForAxis) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00393">Descriptors.cpp:393</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::Convolution3dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00601">Descriptors.hpp:601</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_stand_in_descriptor_xhtml_abb8a2d2bb8cc594c26aaa70c820ac5cc"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#abb8a2d2bb8cc594c26aaa70c820ac5cc">armnn::StandInDescriptor::m_NumOutputs</a></div><div class="ttdeci">uint32_t m_NumOutputs</div><div class="ttdoc">Number of output tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01246">Descriptors.hpp:1246</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fill_descriptor_xhtml_ab3ebc5cf4a617d43371a4cb7fecdeb32"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.xhtml#ab3ebc5cf4a617d43371a4cb7fecdeb32">armnn::FillDescriptor::m_Value</a></div><div class="ttdeci">float m_Value</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00908">Descriptors.hpp:908</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml_aa43409f9b457352c95c89f20ce5d844d"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d">armnn::QLstmDescriptor::m_OutputIntermediateScale</a></div><div class="ttdeci">float m_OutputIntermediateScale</div><div class="ttdoc">Output intermediate quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01379">Descriptors.hpp:1379</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml_a7e2f87544b8bc7e497e1dec8d3ca4055"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055">armnn::DetectionPostProcessDescriptor::m_DetectionsPerClass</a></div><div class="ttdeci">uint32_t m_DetectionsPerClass</div><div class="ttdoc">Detections per classes, used in Regular NMS.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00717">Descriptors.hpp:717</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pre_compiled_descriptor_xhtml_a19244e2574820c8ab69b1559d8638a61"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a19244e2574820c8ab69b1559d8638a61">armnn::PreCompiledDescriptor::m_NumOutputSlots</a></div><div class="ttdeci">unsigned int m_NumOutputSlots</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01323">Descriptors.hpp:1323</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_reshape_descriptor_xhtml_a167ba78098e8fdf1e3d467c8ac5bd57c"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml#a167ba78098e8fdf1e3d467c8ac5bd57c">armnn::ReshapeDescriptor::ReshapeDescriptor</a></div><div class="ttdeci">ReshapeDescriptor(const TensorShape &amp;shape)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00976">Descriptors.hpp:976</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml_aa61510cbd529870182e918ac6e8b9d72"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72">armnn::DetectionPostProcessDescriptor::m_ScaleH</a></div><div class="ttdeci">float m_ScaleH</div><div class="ttdoc">Center size encoding scale height.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00733">Descriptors.hpp:733</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_views_descriptor_xhtml_a2b125117aa61f9baf3a9cb8658aa61a2"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">armnn::ViewsDescriptor::SetViewOriginCoord</a></div><div class="ttdeci">Status SetViewOriginCoord(uint32_t view, uint32_t coord, uint32_t value)</div><div class="ttdoc">@Brief Set the view origin coordinates.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00310">Descriptors.cpp:310</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::NormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00773">Descriptors.hpp:773</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::DepthwiseConvolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00664">Descriptors.hpp:664</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00843">Descriptors.hpp:843</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml_aa507c5561373dbd58e149611a7f46470"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#aa507c5561373dbd58e149611a7f46470">armnn::OriginsDescriptor::~OriginsDescriptor</a></div><div class="ttdeci">~OriginsDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00120">Descriptors.cpp:120</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_a83ca447892f460dabaa2f87d3dc3db61"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">armnn::Convolution3dDescriptor::m_PadFront</a></div><div class="ttdeci">uint32_t m_PadFront</div><div class="ttdoc">Padding front value in the depth dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00605">Descriptors.hpp:605</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01022">Descriptors.hpp:1022</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_aa68194dd6258ab5b04123005a066ea25"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#aa68194dd6258ab5b04123005a066ea25">armnn::StridedSliceDescriptor::m_End</a></div><div class="ttdeci">std::vector&lt; int &gt; m_End</div><div class="ttdoc">End values for the input that will be sliced.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01291">Descriptors.hpp:1291</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_comparison_descriptor_xhtml_abe82a976e89ae4dd12f3991c167ffed3"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml#abe82a976e89ae4dd12f3991c167ffed3">armnn::ComparisonDescriptor::ComparisonDescriptor</a></div><div class="ttdeci">ComparisonDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00091">Descriptors.hpp:91</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml_a0477ee1b44ace6090119178eea78cb0b"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a0477ee1b44ace6090119178eea78cb0b">armnn::LstmDescriptor::m_CellIntermediateScale</a></div><div class="ttdeci">float m_CellIntermediateScale</div><div class="ttdoc">Cell intermediate quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01107">Descriptors.hpp:1107</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_a223ddc6ec23fbfa317b41ac45199b296"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a223ddc6ec23fbfa317b41ac45199b296">armnn::Pooling2dDescriptor::Pooling2dDescriptor</a></div><div class="ttdeci">Pooling2dDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00341">Descriptors.hpp:341</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml_ab509802c659de19929f18bad14a35c58"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58">armnn::DetectionPostProcessDescriptor::m_ScaleW</a></div><div class="ttdeci">float m_ScaleW</div><div class="ttdoc">Center size encoding scale weight.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00731">Descriptors.hpp:731</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_resize_descriptor_xhtml_ae1a4b3b6c60552509b89747cebb900a2"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#ae1a4b3b6c60552509b89747cebb900a2">armnn::ResizeDescriptor::m_AlignCorners</a></div><div class="ttdeci">bool m_AlignCorners</div><div class="ttdoc">Aligned corners.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00963">Descriptors.hpp:963</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pad_descriptor_xhtml_a9943d217090b2611a6b0eb3e17ed133c"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a9943d217090b2611a6b0eb3e17ed133c">armnn::PadDescriptor::PadDescriptor</a></div><div class="ttdeci">PadDescriptor(const std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt;&gt; &amp;padList, const float &amp;padValue=0, const PaddingMode &amp;paddingMode=PaddingMode::Constant)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01148">Descriptors.hpp:1148</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a2da4db0140d1a6dc69c9c82e9ef5379e"><div class="ttname"><a href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379e">armnn::LogicalBinaryOperation</a></div><div class="ttdeci">LogicalBinaryOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00118">Types.hpp:118</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml">armnn::DetectionPostProcessDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00681">Descriptors.hpp:681</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_elementwise_unary_descriptor_xhtml_afe768be66897eb3d73284424e3239b23"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">armnn::ElementwiseUnaryDescriptor::m_Operation</a></div><div class="ttdeci">UnaryOperation m_Operation</div><div class="ttdoc">Specifies the elementwiseUnary operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00125">Descriptors.hpp:125</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_views_descriptor_xhtml_a6ab1c51c46d6587c0eaa2a1674b2b48c"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a6ab1c51c46d6587c0eaa2a1674b2b48c">armnn::ViewsDescriptor::swap</a></div><div class="ttdeci">friend void swap(ViewsDescriptor &amp;first, ViewsDescriptor &amp;second)</div><div class="ttdoc">Swap the ViewsDescriptor value first and second.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00359">Descriptors.cpp:359</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a></div><div class="ttdeci">@ NearestNeighbor</div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a160993b2430d1063d2dc803d1ff0903f"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a160993b2430d1063d2dc803d1ff0903f">armnn::BatchToSpaceNdDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const BatchToSpaceNdDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00858">Descriptors.hpp:858</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fill_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.xhtml">armnn::FillDescriptor</a></div><div class="ttdoc">A FillDescriptor for the FillLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00893">Descriptors.hpp:893</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_a5164336f6a1b15be0d434a6bbf7289da"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">armnn::Convolution3dDescriptor::m_StrideZ</a></div><div class="ttdeci">uint32_t m_StrideZ</div><div class="ttdoc">Stride value when proceeding through input for the depth dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00613">Descriptors.hpp:613</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_activation_descriptor_xhtml_a57980de0f72e982a3d0963f5fb557454"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">armnn::ActivationDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const ActivationDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00052">Descriptors.hpp:52</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a961bbfe1db71a848eff5a1f0ab775718"><div class="ttname"><a href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">armnn::PoolingAlgorithm</a></div><div class="ttdeci">PoolingAlgorithm</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00136">Types.hpp:136</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4">armnn::ResizeMethod</a></div><div class="ttdeci">ResizeMethod</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00152">Types.hpp:152</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0aa0ec87054b5e5b7847d0d8780a01a3d5"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0aa0ec87054b5e5b7847d0d8780a01a3d5">armnn::ReduceOperation::Sum</a></div><div class="ttdeci">@ Sum</div></div>
+<div class="ttc" id="astructarmnn_1_1_pad_descriptor_xhtml_a66f2c989f51ab6116de4380390250b69"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a66f2c989f51ab6116de4380390250b69">armnn::PadDescriptor::m_PaddingMode</a></div><div class="ttdeci">PaddingMode m_PaddingMode</div><div class="ttdoc">Specifies the Padding mode (Constant, Reflect or Symmetric)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01171">Descriptors.hpp:1171</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_resize_descriptor_xhtml_a46c3fa15c46fb0d1dcdc24d0ea5cb5cd"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">armnn::ResizeDescriptor::m_TargetHeight</a></div><div class="ttdeci">uint32_t m_TargetHeight</div><div class="ttdoc">Target height value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00956">Descriptors.hpp:956</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::SpaceToDepthDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01042">Descriptors.hpp:1042</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">armnn::DepthwiseConvolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation factor value for height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00674">Descriptors.hpp:674</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_gather_descriptor_xhtml_a35d11c7d509d1adbae1ae01c58394a7f"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.xhtml#a35d11c7d509d1adbae1ae01c58394a7f">armnn::GatherDescriptor::m_Axis</a></div><div class="ttdeci">int32_t m_Axis</div><div class="ttdoc">The axis in params to gather indices from.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00928">Descriptors.hpp:928</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div><div class="ttdeci">@ NCHW</div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_a83ca447892f460dabaa2f87d3dc3db61"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a83ca447892f460dabaa2f87d3dc3db61">armnn::Pooling3dDescriptor::m_PadFront</a></div><div class="ttdeci">uint32_t m_PadFront</div><div class="ttdoc">Padding front value in the depth dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00451">Descriptors.hpp:451</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0">armnn::ReduceOperation</a></div><div class="ttdeci">ReduceOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00143">Types.hpp:143</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_a5c02af4929fee7377b0c8e0410044582"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a5c02af4929fee7377b0c8e0410044582">armnn::BatchMatMulDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const BatchMatMulDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01547">Descriptors.hpp:1547</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_arg_min_max_descriptor_xhtml_ab1ae6f520bb1a4da191a0ae907477f23"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml#ab1ae6f520bb1a4da191a0ae907477f23">armnn::ArgMinMaxDescriptor::m_Function</a></div><div class="ttdeci">ArgMinMaxFunction m_Function</div><div class="ttdoc">Specify if the function is to find Min or Max.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00081">Descriptors.hpp:81</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fake_quantization_descriptor_xhtml_ad3729c591f7bfda7ad9ef9927d8a1bd6"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml#ad3729c591f7bfda7ad9ef9927d8a1bd6">armnn::FakeQuantizationDescriptor::m_Max</a></div><div class="ttdeci">float m_Max</div><div class="ttdoc">Maximum value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00889">Descriptors.hpp:889</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::DepthwiseConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00678">Descriptors.hpp:678</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_softmax_descriptor_xhtml_a214c3636fdf0ea5bac8edb42d0e6c7f0"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">armnn::SoftmaxDescriptor::m_Axis</a></div><div class="ttdeci">int m_Axis</div><div class="ttdoc">Scalar, defaulted to the last index (-1), specifying the dimension the activation will be performed o...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00172">Descriptors.hpp:172</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml_af8f724af7210b52529216feefa993c98"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98">armnn::LstmDescriptor::m_HiddenStateScale</a></div><div class="ttdeci">float m_HiddenStateScale</div><div class="ttdoc">Hidden State quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01113">Descriptors.hpp:1113</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pad_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; m_PadList</div><div class="ttdoc">Specifies the padding for input dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01165">Descriptors.hpp:1165</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_abe18a5033f2ab9c0de82c676b48f5437a810f43f3996922151c39b76143faeecc"><div class="ttname"><a href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437a810f43f3996922151c39b76143faeecc">armnn::NormalizationAlgorithmChannel::Across</a></div><div class="ttdeci">@ Across</div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Convolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00534">Descriptors.hpp:534</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_aedca000a005e091c23191e82d7e81b1d"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aedca000a005e091c23191e82d7e81b1d">armnn::BatchMatMulDescriptor::m_DataLayoutX</a></div><div class="ttdeci">DataLayout m_DataLayoutX</div><div class="ttdoc">Data layout of each input tensor, such as NHWC/NDHWC (leave as default for arbitrary layout)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01568">Descriptors.hpp:1568</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00627">Descriptors.hpp:627</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pad_descriptor_xhtml_abf96ff8314156a991f72d107d4f325ce"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#abf96ff8314156a991f72d107d4f325ce">armnn::PadDescriptor::PadDescriptor</a></div><div class="ttdeci">PadDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01145">Descriptors.hpp:1145</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_mean_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml">armnn::MeanDescriptor</a></div><div class="ttdoc">A MeanDescriptor for the MeanLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01119">Descriptors.hpp:1119</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_ad605d1661fa0d8c7fea651d82fbe11c9ac65d2e51c610dd3853a3c777aa8bfe9d"><div class="ttname"><a href="namespacearmnn.xhtml#ad605d1661fa0d8c7fea651d82fbe11c9ac65d2e51c610dd3853a3c777aa8bfe9d">armnn::NormalizationAlgorithmMethod::LocalBrightness</a></div><div class="ttdeci">@ LocalBrightness</div><div class="ttdoc">Krichevsky 2012: Local Brightness Normalization.</div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a></div><div class="ttdeci">@ Sigmoid</div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_normalization_descriptor_xhtml_a65f4f175144b079a9b33eb4871192af6"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a65f4f175144b079a9b33eb4871192af6">armnn::BatchNormalizationDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const BatchNormalizationDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00803">Descriptors.hpp:803</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml_a4556cbd764d4848d8ad0637a9eed580d"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d">armnn::LstmDescriptor::m_HiddenStateZeroPoint</a></div><div class="ttdeci">int32_t m_HiddenStateZeroPoint</div><div class="ttdoc">Hidden State zero point.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01111">Descriptors.hpp:1111</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fill_descriptor_xhtml_a53d8dd9b43d051576812a055768ba3f3"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.xhtml#a53d8dd9b43d051576812a055768ba3f3">armnn::FillDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const FillDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00903">Descriptors.hpp:903</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_xhtml_aa70c05f1aad12fbd9d9ec43ea4557b03"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#aa70c05f1aad12fbd9d9ec43ea4557b03">armnn::NormalizationDescriptor::m_NormSize</a></div><div class="ttdeci">uint32_t m_NormSize</div><div class="ttdoc">Depth radius value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00765">Descriptors.hpp:765</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_l2_normalization_descriptor_xhtml_a7c758226ee35a1387dff4fb8a5f14948"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a7c758226ee35a1387dff4fb8a5f14948">armnn::L2NormalizationDescriptor::L2NormalizationDescriptor</a></div><div class="ttdeci">L2NormalizationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00779">Descriptors.hpp:779</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_a11d5c25face9b54e90f79ee8bdc1d0fb"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">armnn::Pooling3dDescriptor::m_PadBack</a></div><div class="ttdeci">uint32_t m_PadBack</div><div class="ttdoc">Padding back value in the depth dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00453">Descriptors.hpp:453</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015">armnn::DataLayout::NCDHW</a></div><div class="ttdeci">@ NCDHW</div></div>
+<div class="ttc" id="astructarmnn_1_1_views_descriptor_xhtml_a3076393f5568657d04520f900e413dcb"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a3076393f5568657d04520f900e413dcb">armnn::ViewsDescriptor::ViewsDescriptor</a></div><div class="ttdeci">ViewsDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00216">Descriptors.cpp:216</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::BatchToSpaceNdDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00870">Descriptors.hpp:870</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::Pooling2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00381">Descriptors.hpp:381</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_a5164336f6a1b15be0d434a6bbf7289da"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5164336f6a1b15be0d434a6bbf7289da">armnn::Pooling3dDescriptor::m_StrideZ</a></div><div class="ttdeci">uint32_t m_StrideZ</div><div class="ttdoc">Stride value when proceeding through input for the depth dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00465">Descriptors.hpp:465</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_softmax_descriptor_xhtml_ab284d1743a879c8762273540c363174e"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#ab284d1743a879c8762273540c363174e">armnn::SoftmaxDescriptor::SoftmaxDescriptor</a></div><div class="ttdeci">SoftmaxDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00159">Descriptors.hpp:159</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_a49fa05efa6154c44c7701b125afd802c"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a49fa05efa6154c44c7701b125afd802c">armnn::Convolution2dDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const Convolution2dDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00517">Descriptors.hpp:517</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_stand_in_descriptor_xhtml_afb634876abc8d09178cf2af0f2ca984d"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#afb634876abc8d09178cf2af0f2ca984d">armnn::StandInDescriptor::StandInDescriptor</a></div><div class="ttdeci">StandInDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01230">Descriptors.hpp:1230</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_channel_shuffle_descriptor_xhtml_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">armnn::ChannelShuffleDescriptor::m_Axis</a></div><div class="ttdeci">uint32_t m_Axis</div><div class="ttdoc">Axis to apply channel shuffle operation on.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01527">Descriptors.hpp:1527</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_a77b1d8701ac0e41b1d9d40eaacc79252"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a77b1d8701ac0e41b1d9d40eaacc79252">armnn::Pooling2dDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const Pooling2dDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00356">Descriptors.hpp:356</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_mean_descriptor_xhtml_aeb36ba495f90f46580887217835290ba"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#aeb36ba495f90f46580887217835290ba">armnn::MeanDescriptor::MeanDescriptor</a></div><div class="ttdeci">MeanDescriptor(const std::vector&lt; unsigned int &gt; &amp;axis, bool keepDims)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01126">Descriptors.hpp:1126</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_l2_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml">armnn::L2NormalizationDescriptor</a></div><div class="ttdoc">A L2NormalizationDescriptor for the L2NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00777">Descriptors.hpp:777</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_permute_descriptor_xhtml_a89323bcff3f2fad728ddb0ba2673049f"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml#a89323bcff3f2fad728ddb0ba2673049f">armnn::PermuteDescriptor::PermuteDescriptor</a></div><div class="ttdeci">PermuteDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00131">Descriptors.hpp:131</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_xhtml_ad2246752a0ac080cfa2e815c6528acf9"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ad2246752a0ac080cfa2e815c6528acf9">armnn::TransposeConvolution2dDescriptor::TransposeConvolution2dDescriptor</a></div><div class="ttdeci">TransposeConvolution2dDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01389">Descriptors.hpp:1389</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_base_descriptor_xhtml_a5e0f82ef2f18eb897e6d6f1845e74033"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.xhtml#a5e0f82ef2f18eb897e6d6f1845e74033">armnn::BaseDescriptor::~BaseDescriptor</a></div><div class="ttdeci">virtual ~BaseDescriptor()=default</div></div>
+<div class="ttc" id="astructarmnn_1_1_permute_descriptor_xhtml_abaafe52396509f67f8cde6578c75df01"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml#abaafe52396509f67f8cde6578c75df01">armnn::PermuteDescriptor::PermuteDescriptor</a></div><div class="ttdeci">PermuteDescriptor(const PermutationVector &amp;dimMappings)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00135">Descriptors.hpp:135</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_channel_shuffle_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">armnn::ChannelShuffleDescriptor</a></div><div class="ttdoc">A ChannelShuffleDescriptor for the ChannelShuffle operator.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01509">Descriptors.hpp:1509</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml">armnn::Convolution3dDescriptor</a></div><div class="ttdoc">A Convolution3dDescriptor for the Convolution3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00556">Descriptors.hpp:556</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">armnn::LstmDescriptor::m_PeepholeEnabled</a></div><div class="ttdeci">bool m_PeepholeEnabled</div><div class="ttdoc">Enable/disable peephole.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01095">Descriptors.hpp:1095</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div><div class="ttdeci">@ Min</div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58c"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58c">armnn::ComparisonOperation</a></div><div class="ttdeci">ComparisonOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00108">Types.hpp:108</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_a112b466e5d2ab9d1887178adbe3afa1c"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a112b466e5d2ab9d1887178adbe3afa1c">armnn::BatchMatMulDescriptor::m_TransposeY</a></div><div class="ttdeci">bool m_TransposeY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01560">Descriptors.hpp:1560</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">armnn::PaddingMode</a></div><div class="ttdeci">PaddingMode</div><div class="ttdoc">The padding mode controls whether the padding should be filled with constant values (Constant),...</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00186">Types.hpp:186</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::SpaceToBatchNdDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01018">Descriptors.hpp:1018</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_channel_shuffle_descriptor_xhtml_a9a9b91f345b141a62e984fe1a1ab0f8b"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a9a9b91f345b141a62e984fe1a1ab0f8b">armnn::ChannelShuffleDescriptor::ChannelShuffleDescriptor</a></div><div class="ttdeci">ChannelShuffleDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01511">Descriptors.hpp:1511</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_resize_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::ResizeDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00961">Descriptors.hpp:961</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_xhtml_a6c6b8957f1e176867e5fb05b1a1a1486"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486">armnn::SpaceToDepthDescriptor::m_BlockSize</a></div><div class="ttdeci">unsigned int m_BlockSize</div><div class="ttdoc">Scalar specifying the input block size. It must be &gt;= 1.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01039">Descriptors.hpp:1039</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00502">Descriptors.hpp:502</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a1cfaa710db2a54673b21d2ea2da757c8"><div class="ttname"><a href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8">armnn::UnaryOperation</a></div><div class="ttdeci">UnaryOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00124">Types.hpp:124</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_xhtml_af0e4b97a3ecaf95a364f33c37cdbd052"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#af0e4b97a3ecaf95a364f33c37cdbd052">armnn::NormalizationDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const NormalizationDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00749">Descriptors.hpp:749</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_stack_descriptor_xhtml_aed6086070440ceb94129bef06f70173f"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">armnn::StackDescriptor::m_NumInputs</a></div><div class="ttdeci">uint32_t m_NumInputs</div><div class="ttdoc">Number of input tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01222">Descriptors.hpp:1222</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_a6d8fb685cc1ff224f25aa127fcf62c86"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">armnn::Pooling2dDescriptor::m_PoolWidth</a></div><div class="ttdeci">uint32_t m_PoolWidth</div><div class="ttdoc">Pooling width value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00383">Descriptors.hpp:383</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::TransposeConvolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01418">Descriptors.hpp:1418</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00796">Descriptors.hpp:796</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_gather_descriptor_xhtml_a66ec23a1fc5e43a66c07e593f68e3188"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.xhtml#a66ec23a1fc5e43a66c07e593f68e3188">armnn::GatherDescriptor::GatherDescriptor</a></div><div class="ttdeci">GatherDescriptor(int32_t axis)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00918">Descriptors.hpp:918</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fill_descriptor_xhtml_a5d52acced1b220575c512f19480f6e99"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.xhtml#a5d52acced1b220575c512f19480f6e99">armnn::FillDescriptor::FillDescriptor</a></div><div class="ttdeci">FillDescriptor(const float &amp;value)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00899">Descriptors.hpp:899</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fake_quantization_descriptor_xhtml_a07e9336ef20ef3348c954f620d9a31f3"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a07e9336ef20ef3348c954f620d9a31f3">armnn::FakeQuantizationDescriptor::FakeQuantizationDescriptor</a></div><div class="ttdeci">FakeQuantizationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00876">Descriptors.hpp:876</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_a0031997bf43bd2747656c31e4977793a"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">armnn::Pooling3dDescriptor::m_PoolType</a></div><div class="ttdeci">PoolingAlgorithm m_PoolType</div><div class="ttdoc">The pooling algorithm to use (Max. Average, L2).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00441">Descriptors.hpp:441</a></div></div>
+<div class="ttc" id="a_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml">armnn::QLstmDescriptor</a></div><div class="ttdoc">A QLstmDescriptor for the QLstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01327">Descriptors.hpp:1327</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH,...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00061">Descriptors.hpp:61</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_mean_descriptor_xhtml_a45ddc9ab5e076c7740d54e0fb74f104c"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#a45ddc9ab5e076c7740d54e0fb74f104c">armnn::MeanDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const MeanDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01131">Descriptors.hpp:1131</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_acc978b36fd5d949bc781d7638e6e08b9"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#acc978b36fd5d949bc781d7638e6e08b9">armnn::Pooling3dDescriptor::m_PoolDepth</a></div><div class="ttdeci">uint32_t m_PoolDepth</div><div class="ttdoc">Pooling depth value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00459">Descriptors.hpp:459</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::InstanceNormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00839">Descriptors.hpp:839</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Convolution3dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00609">Descriptors.hpp:609</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_a8c29d6ea9b4186d69aad5961c910939c"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">armnn::Pooling3dDescriptor::m_PaddingMethod</a></div><div class="ttdeci">PaddingMethod m_PaddingMethod</div><div class="ttdoc">The padding method to be used. (Exclude, IgnoreValue).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00469">Descriptors.hpp:469</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a6280b6dbb53caebf325b450a52dc53f9"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6280b6dbb53caebf325b450a52dc53f9">armnn::BatchToSpaceNdDescriptor::BatchToSpaceNdDescriptor</a></div><div class="ttdeci">BatchToSpaceNdDescriptor(std::vector&lt; unsigned int &gt; blockShape, std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt;&gt; crops)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00851">Descriptors.hpp:851</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div><div class="ttdeci">@ Max</div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00042">Types.hpp:42</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_softmax_descriptor_xhtml_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">armnn::SoftmaxDescriptor::m_Beta</a></div><div class="ttdeci">float m_Beta</div><div class="ttdoc">Exponentiation value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00170">Descriptors.hpp:170</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_add849c1188ee7ff60774755b746aa526"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#add849c1188ee7ff60774755b746aa526">armnn::StridedSliceDescriptor::GetStartForAxis</a></div><div class="ttdeci">int GetStartForAxis(const TensorShape &amp;inputShape, unsigned int axis) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00366">Descriptors.cpp:366</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_activation_descriptor_xhtml_a6c7517bc11f580a0a443940bc5f81775"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a6c7517bc11f580a0a443940bc5f81775">armnn::ActivationDescriptor::ActivationDescriptor</a></div><div class="ttdeci">ActivationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00038">Descriptors.hpp:38</a></div></div>
+<div class="ttc" id="a_descriptors_fwd_8hpp_xhtml"><div class="ttname"><a href="_descriptors_fwd_8hpp.xhtml">DescriptorsFwd.hpp</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml_aa43409f9b457352c95c89f20ce5d844d"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#aa43409f9b457352c95c89f20ce5d844d">armnn::LstmDescriptor::m_OutputIntermediateScale</a></div><div class="ttdeci">float m_OutputIntermediateScale</div><div class="ttdoc">Output intermediate quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01109">Descriptors.hpp:1109</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_resize_descriptor_xhtml_a869254cb56968986a78a79e1d6d4a86b"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b">armnn::ResizeDescriptor::m_Method</a></div><div class="ttdeci">ResizeMethod m_Method</div><div class="ttdoc">The Interpolation method to use (Bilinear, NearestNeighbor).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00959">Descriptors.hpp:959</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_elementwise_unary_descriptor_xhtml_a6b7d869ff464fce01745b97f89cc1a02"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a6b7d869ff464fce01745b97f89cc1a02">armnn::ElementwiseUnaryDescriptor::ElementwiseUnaryDescriptor</a></div><div class="ttdeci">ElementwiseUnaryDescriptor(UnaryOperation operation)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00115">Descriptors.hpp:115</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Convolution3dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00611">Descriptors.hpp:611</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Pooling2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00375">Descriptors.hpp:375</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml_af8f724af7210b52529216feefa993c98"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#af8f724af7210b52529216feefa993c98">armnn::QLstmDescriptor::m_HiddenStateScale</a></div><div class="ttdeci">float m_HiddenStateScale</div><div class="ttdoc">Hidden State quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01383">Descriptors.hpp:1383</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_descriptor_xhtml_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::TransposeDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination,...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01461">Descriptors.hpp:1461</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::Convolution3dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00599">Descriptors.hpp:599</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a3888429b6ebc79f9a7df549e5e4d9a2f"><div class="ttname"><a href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2f">armnn::PaddingMethod</a></div><div class="ttdeci">PaddingMethod</div><div class="ttdoc">The padding method modifies the output of pooling layers.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00174">Types.hpp:174</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml_a4556cbd764d4848d8ad0637a9eed580d"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4556cbd764d4848d8ad0637a9eed580d">armnn::QLstmDescriptor::m_HiddenStateZeroPoint</a></div><div class="ttdeci">int32_t m_HiddenStateZeroPoint</div><div class="ttdoc">Hidden State zero point.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01381">Descriptors.hpp:1381</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_xhtml_aa7a846e189c37a6092fbf10e90110dc9"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#aa7a846e189c37a6092fbf10e90110dc9">armnn::SpaceToBatchNdDescriptor::SpaceToBatchNdDescriptor</a></div><div class="ttdeci">SpaceToBatchNdDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00992">Descriptors.hpp:992</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_a0d53caff836b84204adbd1c28752a201"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201">armnn::StridedSliceDescriptor::m_Stride</a></div><div class="ttdeci">std::vector&lt; int &gt; m_Stride</div><div class="ttdoc">Stride values for the input that will be sliced.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01293">Descriptors.hpp:1293</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div><div class="ttdeci">@ NHWC</div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml_afec7f36158448f723b426a9527acb189"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#afec7f36158448f723b426a9527acb189">armnn::LstmDescriptor::m_ForgetIntermediateScale</a></div><div class="ttdeci">float m_ForgetIntermediateScale</div><div class="ttdoc">Forget intermediate quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01105">Descriptors.hpp:1105</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_reduce_descriptor_xhtml_a6589f55be8e5469d44f67b1887fbc2ad"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml#a6589f55be8e5469d44f67b1887fbc2ad">armnn::ReduceDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const ReduceDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01493">Descriptors.hpp:1493</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_slice_descriptor_xhtml_ad4ee7c36b787daa1232528e2f902d8ce"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml#ad4ee7c36b787daa1232528e2f902d8ce">armnn::SliceDescriptor::SliceDescriptor</a></div><div class="ttdeci">SliceDescriptor(const std::vector&lt; unsigned int &gt; &amp;begin, const std::vector&lt; unsigned int &gt; &amp;size)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01177">Descriptors.hpp:1177</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml_a3a04b0ccee4bb2f21721ee5045e83df4"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">armnn::DetectionPostProcessDescriptor::m_NumClasses</a></div><div class="ttdeci">uint32_t m_NumClasses</div><div class="ttdoc">Number of classes.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00723">Descriptors.hpp:723</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::Pooling2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00379">Descriptors.hpp:379</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu,...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00059">Descriptors.hpp:59</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Convolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00542">Descriptors.hpp:542</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_xhtml_a8526ea7cf860d8e7f8340e9f9354f9f0"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a8526ea7cf860d8e7f8340e9f9354f9f0">armnn::NormalizationDescriptor::m_K</a></div><div class="ttdeci">float m_K</div><div class="ttdoc">Kappa value used for the across channel normalization equation.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00771">Descriptors.hpp:771</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::Convolution3dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NDHWC, NCDHW).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00623">Descriptors.hpp:623</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_xhtml_aeda9d4e5d384ce5919425df001f49751"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aeda9d4e5d384ce5919425df001f49751">armnn::TransposeConvolution2dDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const TransposeConvolution2dDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01401">Descriptors.hpp:1401</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pre_compiled_descriptor_xhtml_aeb67c9588f5a9eadc6453e3a4c8889d3"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.xhtml#aeb67c9588f5a9eadc6453e3a4c8889d3">armnn::PreCompiledDescriptor::~PreCompiledDescriptor</a></div><div class="ttdeci">~PreCompiledDescriptor()=default</div></div>
+<div class="ttc" id="astructarmnn_1_1_pad_descriptor_xhtml_a410fa919f78af0f0f100bd1594eca4ab"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">armnn::PadDescriptor::m_PadValue</a></div><div class="ttdeci">float m_PadValue</div><div class="ttdoc">Optional value to use for padding, defaults to 0.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01168">Descriptors.hpp:1168</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_permutation_vector_xhtml"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00295">Types.hpp:295</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">armnn::BatchToSpaceNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_BlockShape</div><div class="ttdoc">Block shape values.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00866">Descriptors.hpp:866</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_a6d0384878432cfc9652b7ae8bc59506f"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f">armnn::StridedSliceDescriptor::m_ShrinkAxisMask</a></div><div class="ttdeci">int32_t m_ShrinkAxisMask</div><div class="ttdoc">Shrink axis mask value. If set, the nth specification shrinks the dimensionality by 1.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01302">Descriptors.hpp:1302</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">armnn::SpaceToBatchNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_BlockShape</div><div class="ttdoc">Block shape value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01013">Descriptors.hpp:1013</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_xhtml_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">armnn::NormalizationDescriptor::m_Beta</a></div><div class="ttdeci">float m_Beta</div><div class="ttdoc">Beta value for the normalization equation.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00769">Descriptors.hpp:769</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_xhtml_ab70cd7344da13580556ea1af358a8a8b"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#ab70cd7344da13580556ea1af358a8a8b">armnn::FullyConnectedDescriptor::FullyConnectedDescriptor</a></div><div class="ttdeci">FullyConnectedDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00477">Descriptors.hpp:477</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_slice_descriptor_xhtml_ab52cabf19232290fa6b49828ba957ac0"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml#ab52cabf19232290fa6b49828ba957ac0">armnn::SliceDescriptor::m_Size</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_Size</div><div class="ttdoc">Size of the slice in each dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01194">Descriptors.hpp:1194</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml_a531a3907ec13d3772370da88030191a5"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">armnn::LstmDescriptor::m_ClippingThresCell</a></div><div class="ttdeci">float m_ClippingThresCell</div><div class="ttdoc">Clipping threshold value for the cell state.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01089">Descriptors.hpp:1089</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_base_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.xhtml">armnn::BaseDescriptor</a></div><div class="ttdoc">Base class for all descriptors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00022">Descriptors.hpp:22</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00181">Descriptors.hpp:181</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_reshape_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml">armnn::ReshapeDescriptor</a></div><div class="ttdoc">A ReshapeDescriptor for the ReshapeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00970">Descriptors.hpp:970</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_softmax_descriptor_xhtml_a3b7fdc72f23079437110c764f0533af5"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#a3b7fdc72f23079437110c764f0533af5">armnn::SoftmaxDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const SoftmaxDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00164">Descriptors.hpp:164</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::TransposeConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01430">Descriptors.hpp:1430</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_views_descriptor_xhtml_aae0893695f5803a3517985c7cb1ccb2e"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#aae0893695f5803a3517985c7cb1ccb2e">armnn::ViewsDescriptor::SetViewSize</a></div><div class="ttdeci">Status SetViewSize(uint32_t view, uint32_t coord, uint32_t value)</div><div class="ttdoc">Set the size of the views.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00315">Descriptors.cpp:315</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_base_descriptor_xhtml_ac618666b3c6d65d2c88bcbb7abeed343"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.xhtml#ac618666b3c6d65d2c88bcbb7abeed343">armnn::BaseDescriptor::IsNull</a></div><div class="ttdeci">virtual bool IsNull() const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00024">Descriptors.hpp:24</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00048">Types.hpp:48</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_permute_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00129">Descriptors.hpp:129</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a2b53a866f5baae6a357bf034019e0ff3"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a2b53a866f5baae6a357bf034019e0ff3">armnn::BatchToSpaceNdDescriptor::BatchToSpaceNdDescriptor</a></div><div class="ttdeci">BatchToSpaceNdDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00845">Descriptors.hpp:845</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_reduce_descriptor_xhtml_a0b39804ec2fae491cb0b4fcaba681e4c"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml#a0b39804ec2fae491cb0b4fcaba681e4c">armnn::ReduceDescriptor::ReduceDescriptor</a></div><div class="ttdeci">ReduceDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01487">Descriptors.hpp:1487</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">armnn::TransposeConvolution2dDescriptor</a></div><div class="ttdoc">A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01387">Descriptors.hpp:1387</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_xhtml_a281fcaec86e17c97f7b8402633f6b55a"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a">armnn::FullyConnectedDescriptor::m_TransposeWeightMatrix</a></div><div class="ttdeci">bool m_TransposeWeightMatrix</div><div class="ttdoc">Enable/disable transpose weight matrix.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00496">Descriptors.hpp:496</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_xhtml_af295348553622bb3baadff6ea5124414"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml#af295348553622bb3baadff6ea5124414">armnn::SpaceToDepthDescriptor::SpaceToDepthDescriptor</a></div><div class="ttdeci">SpaceToDepthDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01024">Descriptors.hpp:1024</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_l2_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::L2NormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00792">Descriptors.hpp:792</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_permutation_vector_xhtml_aae44e4154aa80fba7616747450ff69d5"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.xhtml#aae44e4154aa80fba7616747450ff69d5">armnn::PermutationVector::IsEqual</a></div><div class="ttdeci">bool IsEqual(const PermutationVector &amp;other) const</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00347">Types.hpp:347</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_slice_descriptor_xhtml_a4939f00778f08d6c6fec6f74c0a59b7e"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml#a4939f00778f08d6c6fec6f74c0a59b7e">armnn::SliceDescriptor::m_Begin</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_Begin</div><div class="ttdoc">Beginning indices of the slice in each dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01191">Descriptors.hpp:1191</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_descriptor_xhtml_a08d0e3a8b7b074f7c101366f0d431c47"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml#a08d0e3a8b7b074f7c101366f0d431c47">armnn::TransposeDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const TransposeDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01447">Descriptors.hpp:1447</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::DepthwiseConvolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00662">Descriptors.hpp:662</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_gather_descriptor_xhtml_acb329a5b427a3799f5e5c12f369a5fd5"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.xhtml#acb329a5b427a3799f5e5c12f369a5fd5">armnn::GatherDescriptor::GatherDescriptor</a></div><div class="ttdeci">GatherDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00914">Descriptors.hpp:914</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00339">Descriptors.hpp:339</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fake_quantization_descriptor_xhtml_a4c14a8e0d126891dd0c38e7584312bfd"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a4c14a8e0d126891dd0c38e7584312bfd">armnn::FakeQuantizationDescriptor::m_Min</a></div><div class="ttdeci">float m_Min</div><div class="ttdoc">Minimum value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00887">Descriptors.hpp:887</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Pooling3dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00463">Descriptors.hpp:463</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::Pooling3dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00449">Descriptors.hpp:449</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_logical_binary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.xhtml">armnn::LogicalBinaryDescriptor</a></div><div class="ttdoc">A LogicalBinaryDescriptor for the LogicalBinaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01465">Descriptors.hpp:1465</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">armnn::LstmDescriptor::m_ProjectionEnabled</a></div><div class="ttdeci">bool m_ProjectionEnabled</div><div class="ttdoc">Enable/disable the projection layer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01097">Descriptors.hpp:1097</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_aaf7828880989b4b9378d3e86aa6dc843"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aaf7828880989b4b9378d3e86aa6dc843">armnn::BatchMatMulDescriptor::m_DataLayoutY</a></div><div class="ttdeci">DataLayout m_DataLayoutY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01569">Descriptors.hpp:1569</a></div></div>
+<div class="ttc" id="a_exceptions_8hpp_xhtml"><div class="ttname"><a href="_exceptions_8hpp.xhtml">Exceptions.hpp</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml_a09e1f097944f61cc901240f9300364cf"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#a09e1f097944f61cc901240f9300364cf">armnn::QLstmDescriptor::m_InputIntermediateScale</a></div><div class="ttdeci">float m_InputIntermediateScale</div><div class="ttdoc">Input intermediate quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01373">Descriptors.hpp:1373</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::StridedSliceDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01310">Descriptors.hpp:1310</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_mean_descriptor_xhtml_a28e0548abfc4e79c48f29a3d11a062e9"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">armnn::MeanDescriptor::m_KeepDims</a></div><div class="ttdeci">bool m_KeepDims</div><div class="ttdoc">Enable/disable keep dimensions. If true, then the reduced dimensions that are of length 1 are kept.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01139">Descriptors.hpp:1139</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_views_descriptor_xhtml_a88d7c8ef4baba3690a4d25eec350ecb3"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a88d7c8ef4baba3690a4d25eec350ecb3">armnn::ViewsDescriptor::GetOrigins</a></div><div class="ttdeci">const OriginsDescriptor &amp; GetOrigins() const</div><div class="ttdoc">Get the View Origins.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00345">Descriptors.cpp:345</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::Pooling2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00377">Descriptors.hpp:377</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::TransposeConvolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01424">Descriptors.hpp:1424</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_descriptor_xhtml_ae7fbf819ce2bbdbdc55d546dd40a1213"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml#ae7fbf819ce2bbdbdc55d546dd40a1213">armnn::TransposeDescriptor::TransposeDescriptor</a></div><div class="ttdeci">TransposeDescriptor(const PermutationVector &amp;dimMappings)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01443">Descriptors.hpp:1443</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml_a7a2156ec7d9c012ce00bbcc6afcb9028"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028">armnn::DetectionPostProcessDescriptor::m_ScaleY</a></div><div class="ttdeci">float m_ScaleY</div><div class="ttdoc">Center size encoding scale y.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00729">Descriptors.hpp:729</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::QLstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable CIFG (coupled input &amp; forget gate).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01365">Descriptors.hpp:1365</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_normalization_descriptor_xhtml_aefba12eed94174fb6eaeb78b6eaf7e59"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml#aefba12eed94174fb6eaeb78b6eaf7e59">armnn::BatchNormalizationDescriptor::BatchNormalizationDescriptor</a></div><div class="ttdeci">BatchNormalizationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00798">Descriptors.hpp:798</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a2c0bf19cb8ae5ab4f5b7373b2b1c79b8"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a2c0bf19cb8ae5ab4f5b7373b2b1c79b8">armnn::SpaceToBatchNdDescriptor::SpaceToBatchNdDescriptor</a></div><div class="ttdeci">SpaceToBatchNdDescriptor(const std::vector&lt; unsigned int &gt; &amp;blockShape, const std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt;&gt; &amp;padList)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00998">Descriptors.hpp:998</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml_a9ae2c9796692ebeafe19a4d3f09c8ea8"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">armnn::DetectionPostProcessDescriptor::m_MaxClassesPerDetection</a></div><div class="ttdeci">uint32_t m_MaxClassesPerDetection</div><div class="ttdoc">Maximum numbers of classes per detection, used in Fast NMS.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00715">Descriptors.hpp:715</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_ad9574a414b3dcf582f8e02245df2222a"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#ad9574a414b3dcf582f8e02245df2222a">armnn::Convolution3dDescriptor::Convolution3dDescriptor</a></div><div class="ttdeci">Convolution3dDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00558">Descriptors.hpp:558</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_ac37e49c0d6e6e54f9d2015d0f11f8ee7"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#ac37e49c0d6e6e54f9d2015d0f11f8ee7">armnn::StridedSliceDescriptor::m_EndMask</a></div><div class="ttdeci">int32_t m_EndMask</div><div class="ttdoc">End mask value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01300">Descriptors.hpp:1300</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::DepthwiseConvolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00666">Descriptors.hpp:666</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_xhtml_a5e078fd505aef7bccaa05c8058e096cc"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a5e078fd505aef7bccaa05c8058e096cc">armnn::InstanceNormalizationDescriptor::m_Gamma</a></div><div class="ttdeci">float m_Gamma</div><div class="ttdoc">Gamma, the scale scalar value applied for the normalized tensor. Defaults to 1.0.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00833">Descriptors.hpp:833</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a5cfc12c95893da682e3bb526a81e7864"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a5cfc12c95893da682e3bb526a81e7864">armnn::DepthwiseConvolution2dDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const DepthwiseConvolution2dDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00642">Descriptors.hpp:642</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_xhtml_afe1f0f09d49ad2befc01f8789187b7dd"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#afe1f0f09d49ad2befc01f8789187b7dd">armnn::NormalizationDescriptor::m_NormChannelType</a></div><div class="ttdeci">NormalizationAlgorithmChannel m_NormChannelType</div><div class="ttdoc">Normalization channel algorithm to use (Across, Within).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00761">Descriptors.hpp:761</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::Convolution3dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00621">Descriptors.hpp:621</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml_ae1b07ed928036004bd257169e5aeeef4"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#ae1b07ed928036004bd257169e5aeeef4">armnn::LstmDescriptor::m_ActivationFunc</a></div><div class="ttdeci">uint32_t m_ActivationFunc</div><div class="ttdoc">The activation function to use.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01087">Descriptors.hpp:1087</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a733ae6b70d0bfa43433c3e7606992328"><div class="ttname"><a href="namespacearmnn.xhtml#a733ae6b70d0bfa43433c3e7606992328">armnn::CreateDescriptorForConcatenation</a></div><div class="ttdeci">OriginsDescriptor CreateDescriptorForConcatenation(TensorShapeIt first, TensorShapeIt last, unsigned int concatenationDimension)</div><div class="ttdoc">Convenience template to create an OriginsDescriptor to use when creating a ConcatLayer for performing...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00268">Descriptors.hpp:268</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml_a86e88bef0df4df96df752b4b8955a3af"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">armnn::LstmDescriptor::m_ClippingThresProj</a></div><div class="ttdeci">float m_ClippingThresProj</div><div class="ttdoc">Clipping threshold value for the projection.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01091">Descriptors.hpp:1091</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_arg_min_max_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml">armnn::ArgMinMaxDescriptor</a></div><div class="ttdoc">An ArgMinMaxDescriptor for ArgMinMaxLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00067">Descriptors.hpp:67</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_channel_shuffle_descriptor_xhtml_a45332cf8abcf3109214ebe53869b87b6"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a45332cf8abcf3109214ebe53869b87b6">armnn::ChannelShuffleDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const ChannelShuffleDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01519">Descriptors.hpp:1519</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">armnn::QLstmDescriptor::m_PeepholeEnabled</a></div><div class="ttdeci">bool m_PeepholeEnabled</div><div class="ttdoc">Enable/disable peephole.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01367">Descriptors.hpp:1367</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_normalization_descriptor_xhtml_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">armnn::BatchNormalizationDescriptor::m_Eps</a></div><div class="ttdeci">float m_Eps</div><div class="ttdoc">Value to add to the variance. Used to avoid dividing by zero.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00809">Descriptors.hpp:809</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fake_quantization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml">armnn::FakeQuantizationDescriptor</a></div><div class="ttdoc">A FakeQuantizationDescriptor for the FakeQuantizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00874">Descriptors.hpp:874</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_views_descriptor_xhtml_a6316c5537fc3d9e8e71bf0541c6044d9"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a6316c5537fc3d9e8e71bf0541c6044d9">armnn::ViewsDescriptor::~ViewsDescriptor</a></div><div class="ttdeci">~ViewsDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00256">Descriptors.cpp:256</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_a5699e8606c37d18c03910b242cd1b010"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">armnn::Pooling3dDescriptor::m_PoolHeight</a></div><div class="ttdeci">uint32_t m_PoolHeight</div><div class="ttdoc">Pooling height value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00457">Descriptors.hpp:457</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00063">Descriptors.hpp:63</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_stack_descriptor_xhtml_a826e54f294176588e4f53cf4c4d33734"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#a826e54f294176588e4f53cf4c4d33734">armnn::StackDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const StackDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01212">Descriptors.hpp:1212</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::DepthwiseConvolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00670">Descriptors.hpp:670</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_gather_descriptor_xhtml_a41aebec26893f7648a4af23176313d11"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.xhtml#a41aebec26893f7648a4af23176313d11">armnn::GatherDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const GatherDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00922">Descriptors.hpp:922</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::TransposeConvolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01426">Descriptors.hpp:1426</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_a11d5c25face9b54e90f79ee8bdc1d0fb"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a11d5c25face9b54e90f79ee8bdc1d0fb">armnn::Convolution3dDescriptor::m_PadBack</a></div><div class="ttdeci">uint32_t m_PadBack</div><div class="ttdoc">Padding back value in the depth dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00607">Descriptors.hpp:607</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_a8c29d6ea9b4186d69aad5961c910939c"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">armnn::Pooling2dDescriptor::m_PaddingMethod</a></div><div class="ttdeci">PaddingMethod m_PaddingMethod</div><div class="ttdoc">The padding method to be used. (Exclude, IgnoreValue).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00393">Descriptors.hpp:393</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pre_compiled_descriptor_xhtml_aebc22128191c14a59356453600833344"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.xhtml#aebc22128191c14a59356453600833344">armnn::PreCompiledDescriptor::m_NumInputSlots</a></div><div class="ttdeci">unsigned int m_NumInputSlots</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01322">Descriptors.hpp:1322</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_reduce_descriptor_xhtml_a28e0548abfc4e79c48f29a3d11a062e9"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">armnn::ReduceDescriptor::m_KeepDims</a></div><div class="ttdeci">bool m_KeepDims</div><div class="ttdoc">if true then output shape has no change.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01501">Descriptors.hpp:1501</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a8b4bd784a8d7b85b437c7c5d61c93bd9"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a8b4bd784a8d7b85b437c7c5d61c93bd9">armnn::DepthwiseConvolution2dDescriptor::DepthwiseConvolution2dDescriptor</a></div><div class="ttdeci">DepthwiseConvolution2dDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00629">Descriptors.hpp:629</a></div></div>
+<div class="ttc" id="anamespacestd_xhtml"><div class="ttname"><a href="namespacestd.xhtml">std</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00149">BackendId.hpp:149</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Convolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00544">Descriptors.hpp:544</a></div></div>
+<div class="ttc" id="a_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_resize_descriptor_xhtml_a4022d5107338aaf5eb7abebf78a1360b"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a4022d5107338aaf5eb7abebf78a1360b">armnn::ResizeDescriptor::m_HalfPixelCenters</a></div><div class="ttdeci">bool m_HalfPixelCenters</div><div class="ttdoc">Half Pixel Centers.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00965">Descriptors.hpp:965</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a3888429b6ebc79f9a7df549e5e4d9a2fa843f2812f595e7ec7c5036e89fde02d6"><div class="ttname"><a href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2fa843f2812f595e7ec7c5036e89fde02d6">armnn::PaddingMethod::Exclude</a></div><div class="ttdeci">@ Exclude</div><div class="ttdoc">The padding fields don't count and are ignored.</div></div>
+<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml_a53c8a7f33a40e1e240256bcfcf41b101"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101">armnn::DetectionPostProcessDescriptor::m_NmsIouThreshold</a></div><div class="ttdeci">float m_NmsIouThreshold</div><div class="ttdoc">Intersection over union threshold.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00721">Descriptors.hpp:721</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_reshape_descriptor_xhtml_a1178f4dafdda81f59c15145ec327f7d9"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml#a1178f4dafdda81f59c15145ec327f7d9">armnn::ReshapeDescriptor::m_TargetShape</a></div><div class="ttdeci">TensorShape m_TargetShape</div><div class="ttdoc">Target shape value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00986">Descriptors.hpp:986</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">armnn::DataLayout::NDHWC</a></div><div class="ttdeci">@ NDHWC</div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_af94385df5f5b7de1466bb9357262d2ca"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#af94385df5f5b7de1466bb9357262d2ca">armnn::Pooling3dDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const Pooling3dDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00420">Descriptors.hpp:420</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_ad94a908c21d0815c7bc7f911e5be1154"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#ad94a908c21d0815c7bc7f911e5be1154">armnn::Convolution3dDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const Convolution3dDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00575">Descriptors.hpp:575</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_a85e74c2aeaf6fc124e9582329a82d72b"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a85e74c2aeaf6fc124e9582329a82d72b">armnn::BatchMatMulDescriptor::GetPermuteVec</a></div><div class="ttdeci">static PermutationVector GetPermuteVec(DataLayout dataLayout, const TensorShape &amp;tensorShape)</div><div class="ttdoc">Static helper to get the axes which will be transposed.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00514">Descriptors.cpp:514</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_ad945fc98770356dd886a68e98a52e26b"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#ad945fc98770356dd886a68e98a52e26b">armnn::BatchMatMulDescriptor::m_AdjointY</a></div><div class="ttdeci">bool m_AdjointY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01565">Descriptors.hpp:1565</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_a0cf8306be7d301de0f095fff9901a525"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#a0cf8306be7d301de0f095fff9901a525">armnn::BatchMatMulDescriptor::m_AdjointX</a></div><div class="ttdeci">bool m_AdjointX</div><div class="ttdoc">Adjoint the slices of each input tensor Transpose and Adjoint can not both be set to true for the sam...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01564">Descriptors.hpp:1564</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::Pooling3dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCDHW, NDHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00471">Descriptors.hpp:471</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_stack_descriptor_xhtml_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">armnn::StackDescriptor::m_Axis</a></div><div class="ttdeci">uint32_t m_Axis</div><div class="ttdoc">0-based axis along which to stack the input tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01220">Descriptors.hpp:1220</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_a62938964ffd34d5af3f2d56ca1183b18"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#a62938964ffd34d5af3f2d56ca1183b18">armnn::Convolution3dDescriptor::GetNumInputs</a></div><div class="ttdeci">uint32_t GetNumInputs() const</div><div class="ttdoc">Get the number of views/inputs.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00438">Descriptors.cpp:438</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">armnn::QLstmDescriptor::m_ProjectionEnabled</a></div><div class="ttdeci">bool m_ProjectionEnabled</div><div class="ttdoc">Enable/disable the projection layer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01369">Descriptors.hpp:1369</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml">armnn::InstanceNormalizationDescriptor</a></div><div class="ttdoc">An InstanceNormalizationDescriptor for InstanceNormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00815">Descriptors.hpp:815</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_xhtml_a174279be57d7596eeb04c6b7f7510f99"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a174279be57d7596eeb04c6b7f7510f99">armnn::NormalizationDescriptor::m_Alpha</a></div><div class="ttdeci">float m_Alpha</div><div class="ttdoc">Alpha value for the normalization equation.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00767">Descriptors.hpp:767</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml_ac5c408724c832bc1f75bad758fe2b7da"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ac5c408724c832bc1f75bad758fe2b7da">armnn::DetectionPostProcessDescriptor::DetectionPostProcessDescriptor</a></div><div class="ttdeci">DetectionPostProcessDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00683">Descriptors.hpp:683</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml_a7ed9bc7c26df67d274d5dd4cd83adf0f"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">armnn::DetectionPostProcessDescriptor::m_UseRegularNms</a></div><div class="ttdeci">bool m_UseRegularNms</div><div class="ttdoc">Use Regular NMS.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00725">Descriptors.hpp:725</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_arg_min_max_descriptor_xhtml_a775f60182b6abb1a21c5fb94578eb8db"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a775f60182b6abb1a21c5fb94578eb8db">armnn::ArgMinMaxDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const ArgMinMaxDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00075">Descriptors.hpp:75</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_null_descriptor_xhtml_ad7c0bdb2b6e538d8f75596d8cdb633c6"><div class="ttname"><a href="structarmnn_1_1_null_descriptor.xhtml#ad7c0bdb2b6e538d8f75596d8cdb633c6">armnn::NullDescriptor::IsNull</a></div><div class="ttdeci">bool IsNull() const override</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00032">Descriptors.hpp:32</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_permute_descriptor_xhtml_a515ce4ad34d652a553e685ff9abecb33"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml#a515ce4ad34d652a553e685ff9abecb33">armnn::PermuteDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const PermuteDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00139">Descriptors.hpp:139</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml_a0773c6fc2b30dc55c1bbdfc603e6e79f"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a0773c6fc2b30dc55c1bbdfc603e6e79f">armnn::DetectionPostProcessDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const DetectionPostProcessDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00697">Descriptors.hpp:697</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_resize_descriptor_xhtml_afa0b84fc29f09035aefda7f27f7acef2"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#afa0b84fc29f09035aefda7f27f7acef2">armnn::ResizeDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const ResizeDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00943">Descriptors.hpp:943</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::Convolution3dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00603">Descriptors.hpp:603</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_adea0557f6519a2d7f1f1424e3de0fc4a"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#adea0557f6519a2d7f1f1424e3de0fc4a">armnn::BatchMatMulDescriptor::GetAxesToMul</a></div><div class="ttdeci">static std::pair&lt; std::pair&lt; unsigned int, unsigned int &gt;, std::pair&lt; unsigned int, unsigned int &gt; &gt; GetAxesToMul(const BatchMatMulDescriptor &amp;desc, const TensorShape &amp;tensorXShape, const TensorShape &amp;tensorYShape)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00459">Descriptors.cpp:459</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml_a2b125117aa61f9baf3a9cb8658aa61a2"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">armnn::OriginsDescriptor::SetViewOriginCoord</a></div><div class="ttdeci">Status SetViewOriginCoord(uint32_t view, uint32_t coord, uint32_t value)</div><div class="ttdoc">@Brief Set the view origin coordinates.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00167">Descriptors.cpp:167</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml_af714290740c651092629e45cf692fc1a"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#af714290740c651092629e45cf692fc1a">armnn::OriginsDescriptor::operator=</a></div><div class="ttdeci">OriginsDescriptor &amp; operator=(OriginsDescriptor rhs)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00129">Descriptors.cpp:129</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_af996d82c47e43a16f4c8faa6c6b3e030"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#af996d82c47e43a16f4c8faa6c6b3e030">armnn::StridedSliceDescriptor::m_EllipsisMask</a></div><div class="ttdeci">int32_t m_EllipsisMask</div><div class="ttdoc">Ellipsis mask value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01304">Descriptors.hpp:1304</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_mean_descriptor_xhtml_a71ab37b5cafc60ab26a1728354cafe77"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#a71ab37b5cafc60ab26a1728354cafe77">armnn::MeanDescriptor::MeanDescriptor</a></div><div class="ttdeci">MeanDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01121">Descriptors.hpp:1121</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_xhtml_a62938964ffd34d5af3f2d56ca1183b18"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#a62938964ffd34d5af3f2d56ca1183b18">armnn::FullyConnectedDescriptor::GetNumInputs</a></div><div class="ttdeci">uint32_t GetNumInputs() const</div><div class="ttdoc">Get the number of inputs.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00448">Descriptors.cpp:448</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml_a9aa1f2c8dd9402d6797779d7e4768e48"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml#a9aa1f2c8dd9402d6797779d7e4768e48">armnn::Pooling3dDescriptor::Pooling3dDescriptor</a></div><div class="ttdeci">Pooling3dDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00401">Descriptors.hpp:401</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_xhtml_a8adc7995fc87683fb9a99b3a161904c6"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a8adc7995fc87683fb9a99b3a161904c6">armnn::NormalizationDescriptor::NormalizationDescriptor</a></div><div class="ttdeci">NormalizationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00739">Descriptors.hpp:739</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pre_compiled_descriptor_xhtml_a6be5287e50fca444cd42986e47ab75db"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a6be5287e50fca444cd42986e47ab75db">armnn::PreCompiledDescriptor::PreCompiledDescriptor</a></div><div class="ttdeci">PreCompiledDescriptor(unsigned int numInputSlots=1u, unsigned int numOutputSlots=1u)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01316">Descriptors.hpp:1316</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_views_descriptor_xhtml_a3c1ab47a0a319413b3a4b5757ed5b80b"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a3c1ab47a0a319413b3a4b5757ed5b80b">armnn::ViewsDescriptor::GetViewSizes</a></div><div class="ttdeci">const uint32_t * GetViewSizes(uint32_t idx) const</div><div class="ttdoc">Get the view sizes at the int value idx.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00340">Descriptors.cpp:340</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml_aed81894ad76effd38e1d871af4db0a59"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml#aed81894ad76effd38e1d871af4db0a59">armnn::BatchMatMulDescriptor::GetAxesNotMul</a></div><div class="ttdeci">static std::pair&lt; std::vector&lt; unsigned int &gt;, std::vector&lt; unsigned int &gt; &gt; GetAxesNotMul(const BatchMatMulDescriptor &amp;desc, const TensorShape &amp;inputXShape, const TensorShape &amp;inputYShape)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00467">Descriptors.cpp:467</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_xhtml_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">armnn::InstanceNormalizationDescriptor::m_Beta</a></div><div class="ttdeci">float m_Beta</div><div class="ttdoc">Beta, the offset scalar value applied for the normalized tensor. Defaults to 1.0.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00835">Descriptors.hpp:835</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_resize_descriptor_xhtml_adcf5037208faac36c0788239a073f75c"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">armnn::ResizeDescriptor::m_TargetWidth</a></div><div class="ttdeci">uint32_t m_TargetWidth</div><div class="ttdoc">Target width value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00954">Descriptors.hpp:954</a></div></div>
+<div class="ttc" id="a_deprecated_8hpp_xhtml"><div class="ttname"><a href="_deprecated_8hpp.xhtml">Deprecated.hpp</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">armnn::SpaceToBatchNdDescriptor</a></div><div class="ttdoc">A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00990">Descriptors.hpp:990</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_elementwise_unary_descriptor_xhtml_a58aa3857edb8d4addbbb44510147bb59"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a58aa3857edb8d4addbbb44510147bb59">armnn::ElementwiseUnaryDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const ElementwiseUnaryDescriptor &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00119">Descriptors.hpp:119</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_affb5b68b3eba3ed45a06c7cde7781962"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">armnn::Pooling2dDescriptor::m_OutputShapeRounding</a></div><div class="ttdeci">OutputShapeRounding m_OutputShapeRounding</div><div class="ttdoc">The rounding method for the output shape. (Floor, Ceiling).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00391">Descriptors.hpp:391</a></div></div>
+<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00086">Types.hpp:86</a></div></div>
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