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| <div class="title">Serializer.cpp</div> </div> |
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| <a href="_serializer_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div> |
| <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017,2019-2024 Arm Ltd and Contributors. All rights reserved.</span></div> |
| <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div> |
| <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div> |
| <div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#include "<a class="code" href="_serializer_8hpp.html">Serializer.hpp</a>"</span></div> |
| <div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_serializer_utils_8hpp.html">SerializerUtils.hpp</a>"</span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span>  </div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_descriptors_8hpp.html">armnn/Descriptors.hpp</a>></span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_lstm_params_8hpp.html">armnn/LstmParams.hpp</a>></span></div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_quantized_lstm_params_8hpp.html">armnn/QuantizedLstmParams.hpp</a>></span></div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_ignore_unused_8hpp.html">armnn/utility/IgnoreUnused.hpp</a>></span></div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_numeric_cast_8hpp.html">armnn/utility/NumericCast.hpp</a>></span></div> |
| <div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  </div> |
| <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <fmt/format.h></span></div> |
| <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <iostream></span></div> |
| <div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  </div> |
| <div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">namespace </span>fb = flatbuffers;</div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn_serializer.html">serializer</a> = <a class="code" href="namespacearmnn_serializer.html">armnnSerializer</a>;</div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  </div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn_serializer.html">armnnSerializer</a></div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span> {</div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  </div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span> ISerializer::ISerializer() : pSerializerImpl(new SerializerImpl())</div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span> {</div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> }</div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  </div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span> ISerializer::~ISerializer() = <span class="keywordflow">default</span>;</div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  </div> |
| <div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_i_serializer.html#a782a973f05e8615c6dc9441b0dba067f"> 30</a></span> <a class="code" href="classarmnn_serializer_1_1_i_serializer.html">ISerializer</a>* ISerializer::CreateRaw()</div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">return</span> <span class="keyword">new</span> <a class="code" href="classarmnn_serializer_1_1_i_serializer.html">ISerializer</a>();</div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span> }</div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  </div> |
| <div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_i_serializer.html#a3c51b5b078572dee02528bfae7202524"> 35</a></span> <a class="code" href="namespacearmnn_serializer.html#a550a83250b3ddebf15d5c13c224e3609">ISerializerPtr</a> ISerializer::Create()</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn_serializer.html#a550a83250b3ddebf15d5c13c224e3609">ISerializerPtr</a>(CreateRaw(), &ISerializer::Destroy);</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span> }</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  </div> |
| <div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_i_serializer.html#a97f01015b8ee3badf4dc3ce4cd6a70c8"> 40</a></span> <span class="keywordtype">void</span> ISerializer::Destroy(<a class="code" href="classarmnn_serializer_1_1_i_serializer.html">ISerializer</a>* <a class="code" href="namespacearmnn_serializer.html">serializer</a>)</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span> {</div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">delete</span> <a class="code" href="namespacearmnn_serializer.html">serializer</a>;</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span> }</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  </div> |
| <div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_i_serializer.html#a4d146e96f4464192b762b23e1cf1e207"> 45</a></span> <span class="keywordtype">void</span> ISerializer::Serialize(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_network.html">armnn::INetwork</a>& inNetwork)</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  pSerializerImpl->Serialize(inNetwork);</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span> }</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  </div> |
| <div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_i_serializer.html#a049d34980f9dd0a518f9781822a718c4"> 50</a></span> <span class="keywordtype">bool</span> ISerializer::SaveSerializedToStream(std::ostream& stream)</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> pSerializerImpl->SaveSerializedToStream(stream);</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span> }</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  </div> |
| <div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="namespacearmnn_serializer.html#aac3bf4453f8a909ca23f290089df8ff1"> 55</a></span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">serializer::ActivationFunction</a> <a class="code" href="namespacearmnn_serializer.html#aac3bf4453f8a909ca23f290089df8ff1">GetFlatBufferActivationFunction</a>(<a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> <span class="keyword">function</span>)</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span> {</div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">switch</span> (<span class="keyword">function</span>)</div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  {</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a>:</div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_Sigmoid;</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a>:</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_TanH;</div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">armnn::ActivationFunction::Linear</a>:</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_Linear;</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a>:</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_ReLu;</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a>:</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_BoundedReLu;</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::ActivationFunction::LeakyReLu</a>:</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_LeakyReLu;</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a>:</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_Abs;</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a>:</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_Sqrt;</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::ActivationFunction::Square</a>:</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_Square;</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::ActivationFunction::Elu</a>:</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_Elu;</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::ActivationFunction::HardSwish</a>:</div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_HardSwish;</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaf48cca1c6deaa6a1c34e4ee46954cf0b">armnn::ActivationFunction::Gelu</a>:</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_Gelu;</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_Sigmoid;</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span> }</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  </div> |
| <div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="namespacearmnn_serializer.html#a6fcb1eefde815b0b7465a689c8d26b50"> 88</a></span> <a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeae">serializer::ArgMinMaxFunction</a> <a class="code" href="namespacearmnn_serializer.html#a6fcb1eefde815b0b7465a689c8d26b50">GetFlatBufferArgMinMaxFunction</a>(<a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeae">armnn::ArgMinMaxFunction</a> <span class="keyword">function</span>)</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span> {</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">switch</span> (<span class="keyword">function</span>)</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  {</div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a>:</div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">return</span> serializer::ArgMinMaxFunction::ArgMinMaxFunction_Max;</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a>:</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">return</span> serializer::ArgMinMaxFunction::ArgMinMaxFunction_Min;</div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  }</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span> }</div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  </div> |
| <div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="namespacearmnn_serializer.html#aa7f2df39a8ac495df172c6d473780dfb"> 100</a></span> <a class="code" href="namespacearmnn.html#a75ca90884e15396a70b0cb722a877b4a">serializer::ScatterNdFunction</a> <a class="code" href="namespacearmnn_serializer.html#aa7f2df39a8ac495df172c6d473780dfb">GetFlatBufferScatterNdFunction</a>(<a class="code" href="namespacearmnn.html#a75ca90884e15396a70b0cb722a877b4a">armnn::ScatterNdFunction</a> <span class="keyword">function</span>)</div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span> {</div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">switch</span> (<span class="keyword">function</span>)</div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  {</div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a75ca90884e15396a70b0cb722a877b4aa06933067aafd48425d67bcb01bba5cb6">armnn::ScatterNdFunction::Update</a>:</div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">return</span> serializer::ScatterNdFunction::ScatterNdFunction_Update;</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a75ca90884e15396a70b0cb722a877b4aaec211f7c20af43e742bf2570c3cb84f9">armnn::ScatterNdFunction::Add</a>:</div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">return</span> serializer::ScatterNdFunction::ScatterNdFunction_Add;</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a75ca90884e15396a70b0cb722a877b4aae80155eceb940c89e2de63ad05868db2">armnn::ScatterNdFunction::Sub</a>:</div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">return</span> serializer::ScatterNdFunction::ScatterNdFunction_Sub;</div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a75ca90884e15396a70b0cb722a877b4aa6a061313d22e51e0f25b7cd4dc065233">armnn::ScatterNdFunction::Max</a>:</div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">return</span> serializer::ScatterNdFunction::ScatterNdFunction_Max;</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a75ca90884e15396a70b0cb722a877b4aa78d811e98514cd165dda532286610fd2">armnn::ScatterNdFunction::Min</a>:</div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordflow">return</span> serializer::ScatterNdFunction::ScatterNdFunction_Min;</div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">return</span> serializer::ScatterNdFunction::ScatterNdFunction_Update;</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  }</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span> }</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  </div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span> uint32_t SerializerStrategy::GetSerializedId(<a class="code" href="_types_8hpp.html#af22094b802160f09f7c89ad9eee10084">LayerGuid</a> guid)</div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span> {</div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">if</span> (m_guidMap.empty())</div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  {</div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  m_guidMap.insert(std::make_pair(guid, m_layerId));</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  }</div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_guidMap.find(guid) == m_guidMap.end())</div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  {</div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  ++m_layerId;</div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  m_guidMap.insert(std::make_pair(guid, m_layerId));</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  </div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">return</span> m_layerId;</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  }</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordflow">return</span> m_guidMap[guid];</div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span> }</div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  </div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="comment">// Build FlatBuffer for Input Layer</span></div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeInputLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer, <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> <span class="keywordtype">id</span>, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span> {</div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  </div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">auto</span> flatBufferInputBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Input);</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  </div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="comment">// Create FlatBuffer BindableBaseLayer</span></div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keyword">auto</span> flatBufferInputBindableBaseLayer = serializer::CreateBindableLayerBase(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  flatBufferInputBaseLayer,</div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordtype">id</span>);</div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="comment">// Push layer binding id to outputIds.</span></div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  m_inputIds.push_back(<span class="keywordtype">id</span>);</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  </div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="comment">// Create the FlatBuffer InputLayer</span></div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keyword">auto</span> flatBufferInputLayer = serializer::CreateInputLayer(m_flatBufferBuilder, flatBufferInputBindableBaseLayer);</div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  </div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  CreateAnyLayer(flatBufferInputLayer.o, serializer::Layer::Layer_InputLayer);</div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span> }</div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  </div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="comment">// Build FlatBuffer for Output Layer</span></div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeOutputLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> <span class="keywordtype">id</span>, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span> {</div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  </div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">auto</span> flatBufferOutputBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Output);</div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  </div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// Create FlatBuffer BindableBaseLayer</span></div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keyword">auto</span> flatBufferOutputBindableBaseLayer = serializer::CreateBindableLayerBase(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  flatBufferOutputBaseLayer,</div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordtype">id</span>);</div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="comment">// Push layer binding id to outputIds.</span></div> |
| <div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  m_outputIds.push_back(<span class="keywordtype">id</span>);</div> |
| <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  </div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="comment">// Create the FlatBuffer OutputLayer</span></div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">auto</span> flatBufferOutputLayer = serializer::CreateOutputLayer(m_flatBufferBuilder, flatBufferOutputBindableBaseLayer);</div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  CreateAnyLayer(flatBufferOutputLayer.o, serializer::Layer::Layer_OutputLayer);</div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span> }</div> |
| <div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  </div> |
| <div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="comment">// Build FlatBuffer for Activation Layer</span></div> |
| <div class="line"><a name="l00180"></a><span class="lineno"> 180</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeActivationLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00183"></a><span class="lineno"> 183</span> {</div> |
| <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  </div> |
| <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Activation);</div> |
| <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  </div> |
| <div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="comment">// Create the FlatBuffer ActivationDescriptor</span></div> |
| <div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keyword">auto</span> flatBufferDescriptor = CreateActivationDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="namespacearmnn_serializer.html#aac3bf4453f8a909ca23f290089df8ff1">GetFlatBufferActivationFunction</a>(descriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.html#af10fa7883e3579950f477bee92a64844">m_Function</a>),</div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  descriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a>,</div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  descriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a28c4c9cb15f6be3499abbc46b356060b">m_B</a>);</div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  </div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="comment">// Create the FlatBuffer ActivationLayer</span></div> |
| <div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">auto</span> flatBufferAdditionLayer = CreateActivationLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  flatBufferBaseLayer,</div> |
| <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  flatBufferDescriptor);</div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  </div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div> |
| <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  CreateAnyLayer(flatBufferAdditionLayer.o, serializer::Layer::Layer_ActivationLayer);</div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span> }</div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  </div> |
| <div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="comment">// Build FlatBuffer for Addition Layer</span></div> |
| <div class="line"><a name="l00205"></a><span class="lineno"> 205</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeAdditionLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00206"></a><span class="lineno"> 206</span> {</div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  </div> |
| <div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keyword">auto</span> flatBufferAdditionBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Addition);</div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  </div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="comment">// Create the FlatBuffer AdditionLayer</span></div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keyword">auto</span> flatBufferAdditionLayer = serializer::CreateAdditionLayer(m_flatBufferBuilder, flatBufferAdditionBaseLayer);</div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  </div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  CreateAnyLayer(flatBufferAdditionLayer.o, serializer::Layer::Layer_AdditionLayer);</div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span> }</div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  </div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span> <span class="comment">// Build FlatBuffer for ArgMinMax Layer</span></div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeArgMinMaxLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a> *layer,</div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html">armnn::ArgMinMaxDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div> |
| <div class="line"><a name="l00223"></a><span class="lineno"> 223</span> {</div> |
| <div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  </div> |
| <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_ArgMinMax);</div> |
| <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  </div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="comment">// Create FlatBuffer Descriptor</span></div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keyword">auto</span> flatBufferDescriptor = CreateArgMinMaxDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <a class="code" href="namespacearmnn_serializer.html#a6fcb1eefde815b0b7465a689c8d26b50">GetFlatBufferArgMinMaxFunction</a>(descriptor.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html#ab1ae6f520bb1a4da191a0ae907477f23">m_Function</a>),</div> |
| <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  descriptor.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>);</div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  </div> |
| <div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="comment">// Create FlatBuffer ArgMinMaxLayer</span></div> |
| <div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keyword">auto</span> flatBufferLayer = CreateArgMinMaxLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  flatBufferBaseLayer,</div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  flatBufferDescriptor);</div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  </div> |
| <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ArgMinMaxLayer);</div> |
| <div class="line"><a name="l00240"></a><span class="lineno"> 240</span> }</div> |
| <div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  </div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeBatchMatMulLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html">armnn::BatchMatMulDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00245"></a><span class="lineno"> 245</span> {</div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  </div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_BatchMatMul);</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  </div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="comment">// Create the FlatBuffer BatchMatMulDescriptor</span></div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keyword">auto</span> flatBufferDescriptor = CreateBatchMatMulDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  descriptor.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#acb441bb8db19bcce78d15cdd8ceb5ea0">m_TransposeX</a>,</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  descriptor.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a112b466e5d2ab9d1887178adbe3afa1c">m_TransposeY</a>,</div> |
| <div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  descriptor.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a0cf8306be7d301de0f095fff9901a525">m_AdjointX</a>,</div> |
| <div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  descriptor.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#ad945fc98770356dd886a68e98a52e26b">m_AdjointY</a>,</div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(descriptor.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#aedca000a005e091c23191e82d7e81b1d">m_DataLayoutX</a>),</div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(descriptor.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#aaf7828880989b4b9378d3e86aa6dc843">m_DataLayoutY</a>));</div> |
| <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  </div> |
| <div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="comment">// Create the FlatBuffer BatchMatMulLayer</span></div> |
| <div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keyword">auto</span> flatBufferBatchMatMulLayer = CreateBatchMatMulLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  flatBufferBaseLayer,</div> |
| <div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  flatBufferDescriptor);</div> |
| <div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  </div> |
| <div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div> |
| <div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  CreateAnyLayer(flatBufferBatchMatMulLayer.o, serializer::Layer::Layer_BatchMatMulLayer);</div> |
| <div class="line"><a name="l00267"></a><span class="lineno"> 267</span> }</div> |
| <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  </div> |
| <div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="comment">// Build FlatBuffer for BatchToSpaceNd Layer</span></div> |
| <div class="line"><a name="l00270"></a><span class="lineno"> 270</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeBatchToSpaceNdLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">armnn::BatchToSpaceNdDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00273"></a><span class="lineno"> 273</span> {</div> |
| <div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  </div> |
| <div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_BatchToSpaceNd);</div> |
| <div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  </div> |
| <div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  std::vector<unsigned int> crops;</div> |
| <div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  crops.reserve(descriptor.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">m_Crops</a>.size() * 2);</div> |
| <div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& crop : descriptor.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">m_Crops</a>)</div> |
| <div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  {</div> |
| <div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  crops.push_back(crop.first);</div> |
| <div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  crops.push_back(crop.second);</div> |
| <div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  }</div> |
| <div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  </div> |
| <div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keyword">auto</span> flatBufferDescriptor =</div> |
| <div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  CreateBatchToSpaceNdDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  m_flatBufferBuilder.CreateVector(descriptor.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>),</div> |
| <div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  m_flatBufferBuilder.CreateVector(crops),</div> |
| <div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(descriptor.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div> |
| <div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  </div> |
| <div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateBatchToSpaceNdLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  flatBufferBaseLayer,</div> |
| <div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  flatBufferDescriptor);</div> |
| <div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  </div> |
| <div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_BatchToSpaceNdLayer);</div> |
| <div class="line"><a name="l00298"></a><span class="lineno"> 298</span> }</div> |
| <div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  </div> |
| <div class="line"><a name="l00300"></a><span class="lineno"> 300</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeBatchNormalizationLayer(</div> |
| <div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html">armnn::BatchNormalizationDescriptor</a>& batchNormDescriptor,</div> |
| <div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keyword">const</span> std::vector<armnn::ConstTensor>& constants,</div> |
| <div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00305"></a><span class="lineno"> 305</span> {</div> |
| <div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  </div> |
| <div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a>& mean = constants[0];</div> |
| <div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a>& variance = constants[1];</div> |
| <div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a>& beta = constants[2];</div> |
| <div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a>& gamma = constants[3];</div> |
| <div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  </div> |
| <div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keyword">auto</span> fbBatchNormalizationBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_BatchNormalization);</div> |
| <div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keyword">auto</span> fbBatchNormalizationDescriptor = serializer::CreateBatchNormalizationDescriptor(</div> |
| <div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  batchNormDescriptor.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html#a11c821c7524251004a72ed13c510853c">m_Eps</a>,</div> |
| <div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(batchNormDescriptor.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div> |
| <div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  </div> |
| <div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keyword">auto</span> fbMeanConstTensorInfo = CreateConstTensorInfo(mean);</div> |
| <div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keyword">auto</span> fbVarianceConstTensorInfo = CreateConstTensorInfo(variance);</div> |
| <div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keyword">auto</span> fbBetaConstTensorInfo = CreateConstTensorInfo(beta);</div> |
| <div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keyword">auto</span> fbGammaConstTensorInfo = CreateConstTensorInfo(gamma);</div> |
| <div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keyword">auto</span> fbBatchNormalizationLayer = serializer::CreateBatchNormalizationLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  fbBatchNormalizationBaseLayer,</div> |
| <div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  fbBatchNormalizationDescriptor,</div> |
| <div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  fbMeanConstTensorInfo,</div> |
| <div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  fbVarianceConstTensorInfo,</div> |
| <div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  fbBetaConstTensorInfo,</div> |
| <div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  fbGammaConstTensorInfo);</div> |
| <div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  </div> |
| <div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  CreateAnyLayer(fbBatchNormalizationLayer.o, serializer::Layer::Layer_BatchNormalizationLayer);</div> |
| <div class="line"><a name="l00332"></a><span class="lineno"> 332</span> }</div> |
| <div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  </div> |
| <div class="line"><a name="l00334"></a><span class="lineno"> 334</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeCastLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00336"></a><span class="lineno"> 336</span> {</div> |
| <div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  </div> |
| <div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Cast);</div> |
| <div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keyword">auto</span> fbCastLayer = serializer::CreateCastLayer(m_flatBufferBuilder, fbBaseLayer);</div> |
| <div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  CreateAnyLayer(fbCastLayer.o, serializer::Layer::Layer_CastLayer);</div> |
| <div class="line"><a name="l00342"></a><span class="lineno"> 342</span> }</div> |
| <div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  </div> |
| <div class="line"><a name="l00344"></a><span class="lineno"> 344</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeChannelShuffleLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.html">armnn::ChannelShuffleDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00347"></a><span class="lineno"> 347</span> {</div> |
| <div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keyword">auto</span> fbDescriptor = CreateChannelShuffleDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  descriptor.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a>,</div> |
| <div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  descriptor.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.html#a1953d00371489c32ebded5a42eabc0cf">m_NumGroups</a>);</div> |
| <div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_ChannelShuffle);</div> |
| <div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keyword">auto</span> fbChannelShuffleLayer = serializer::CreateChannelShuffleLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor);</div> |
| <div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  CreateAnyLayer(fbChannelShuffleLayer.o, serializer::Layer::Layer_ChannelShuffleLayer);</div> |
| <div class="line"><a name="l00355"></a><span class="lineno"> 355</span> }</div> |
| <div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  </div> |
| <div class="line"><a name="l00357"></a><span class="lineno"> 357</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeComparisonLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.html">armnn::ComparisonDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00360"></a><span class="lineno"> 360</span> {</div> |
| <div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  </div> |
| <div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Comparison);</div> |
| <div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keyword">auto</span> fbDescriptor = serializer::CreateComparisonDescriptor(</div> |
| <div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <a class="code" href="namespacearmnn_serializer.html#a1c88cccaeb232c6fe8022c7006bb21bc">GetFlatBufferComparisonOperation</a>(descriptor.<a class="code" href="structarmnn_1_1_comparison_descriptor.html#a865dc4f43cb0ff01a1dcf78036912fd1">m_Operation</a>));</div> |
| <div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  </div> |
| <div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keyword">auto</span> fbLayer = serializer::CreateComparisonLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor);</div> |
| <div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_ComparisonLayer);</div> |
| <div class="line"><a name="l00370"></a><span class="lineno"> 370</span> }</div> |
| <div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  </div> |
| <div class="line"><a name="l00372"></a><span class="lineno"> 372</span> <span class="comment">// Build FlatBuffer for Constant Layer</span></div> |
| <div class="line"><a name="l00373"></a><span class="lineno"> 373</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeConstantLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keyword">const</span> std::vector<armnn::ConstTensor>& constants,</div> |
| <div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00376"></a><span class="lineno"> 376</span> {</div> |
| <div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  </div> |
| <div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a> input = constants[0];</div> |
| <div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  </div> |
| <div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keyword">auto</span> flatBufferConstantBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Constant);</div> |
| <div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  </div> |
| <div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keyword">auto</span> flatBufferConstTensorInfo = CreateConstTensorInfo(input);</div> |
| <div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  </div> |
| <div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="comment">// Create the FlatBuffer ConstantLayer</span></div> |
| <div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keyword">auto</span> flatBufferLayer = CreateConstantLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  flatBufferConstantBaseLayer,</div> |
| <div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  flatBufferConstTensorInfo);</div> |
| <div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  </div> |
| <div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div> |
| <div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ConstantLayer);</div> |
| <div class="line"><a name="l00393"></a><span class="lineno"> 393</span> }</div> |
| <div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  </div> |
| <div class="line"><a name="l00395"></a><span class="lineno"> 395</span> <span class="comment">// Build FlatBuffer for Convolution2dLayer</span></div> |
| <div class="line"><a name="l00396"></a><span class="lineno"> 396</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeConvolution2dLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00399"></a><span class="lineno"> 399</span> {</div> |
| <div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  </div> |
| <div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Convolution2d);</div> |
| <div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  </div> |
| <div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keyword">auto</span> flatBufferDescriptor = CreateConvolution2dDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>,</div> |
| <div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>,</div> |
| <div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>,</div> |
| <div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>,</div> |
| <div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>,</div> |
| <div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>,</div> |
| <div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>,</div> |
| <div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>,</div> |
| <div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>,</div> |
| <div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div> |
| <div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  </div> |
| <div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="comment">// Create the FlatBuffer Convolution2dLayer</span></div> |
| <div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keyword">auto</span> flatBufferLayer = CreateConvolution2dLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  flatBufferBaseLayer,</div> |
| <div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  flatBufferDescriptor);</div> |
| <div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  </div> |
| <div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div> |
| <div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_Convolution2dLayer);</div> |
| <div class="line"><a name="l00424"></a><span class="lineno"> 424</span> }</div> |
| <div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  </div> |
| <div class="line"><a name="l00426"></a><span class="lineno"> 426</span> <span class="comment">// Build FlatBuffer for Convolution3dLayer</span></div> |
| <div class="line"><a name="l00427"></a><span class="lineno"> 427</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeConvolution3dLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.html">armnn::Convolution3dDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00430"></a><span class="lineno"> 430</span> {</div> |
| <div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  </div> |
| <div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Convolution3d);</div> |
| <div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  </div> |
| <div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keyword">auto</span> flatBufferDescriptor = CreateConvolution3dDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>,</div> |
| <div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>,</div> |
| <div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>,</div> |
| <div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>,</div> |
| <div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a>,</div> |
| <div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a>,</div> |
| <div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>,</div> |
| <div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>,</div> |
| <div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a>,</div> |
| <div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>,</div> |
| <div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>,</div> |
| <div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a16543bce17aa2e4d6e81c88f74227192">m_DilationZ</a>,</div> |
| <div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>,</div> |
| <div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(descriptor.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div> |
| <div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  </div> |
| <div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="comment">// Create the FlatBuffer Convolution3dLayer</span></div> |
| <div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keyword">auto</span> flatBufferLayer = CreateConvolution3dLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  flatBufferBaseLayer,</div> |
| <div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  flatBufferDescriptor);</div> |
| <div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  </div> |
| <div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div> |
| <div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_Convolution3dLayer);</div> |
| <div class="line"><a name="l00459"></a><span class="lineno"> 459</span> }</div> |
| <div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  </div> |
| <div class="line"><a name="l00461"></a><span class="lineno"> 461</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeDepthToSpaceLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">armnn::DepthToSpaceDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00464"></a><span class="lineno"> 464</span> {</div> |
| <div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  </div> |
| <div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_DepthToSpace);</div> |
| <div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keyword">auto</span> fbDescriptor = CreateDepthToSpaceDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  descriptor.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a>,</div> |
| <div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(descriptor.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div> |
| <div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  </div> |
| <div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keyword">auto</span> fbLayer = serializer::CreateDepthToSpaceLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor);</div> |
| <div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  </div> |
| <div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_DepthToSpaceLayer);</div> |
| <div class="line"><a name="l00475"></a><span class="lineno"> 475</span> }</div> |
| <div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  </div> |
| <div class="line"><a name="l00477"></a><span class="lineno"> 477</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeDepthwiseConvolution2dLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">armnn::DepthwiseConvolution2dDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00480"></a><span class="lineno"> 480</span> {</div> |
| <div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  </div> |
| <div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_DepthwiseConvolution2d);</div> |
| <div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keyword">auto</span> fbDescriptor = CreateDepthwiseConvolution2dDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>,</div> |
| <div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>,</div> |
| <div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>,</div> |
| <div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>,</div> |
| <div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>,</div> |
| <div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>,</div> |
| <div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>,</div> |
| <div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>,</div> |
| <div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>,</div> |
| <div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div> |
| <div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  </div> |
| <div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="keyword">auto</span> flatBufferLayer = CreateDepthwiseConvolution2dLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  fbBaseLayer,</div> |
| <div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  fbDescriptor);</div> |
| <div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  </div> |
| <div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_DepthwiseConvolution2dLayer);</div> |
| <div class="line"><a name="l00501"></a><span class="lineno"> 501</span> }</div> |
| <div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  </div> |
| <div class="line"><a name="l00503"></a><span class="lineno"> 503</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeDequantizeLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00505"></a><span class="lineno"> 505</span> {</div> |
| <div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  </div> |
| <div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keyword">auto</span> fbDequantizeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Dequantize);</div> |
| <div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="keyword">auto</span> fbDequantizeLayer = serializer::CreateDequantizeLayer(m_flatBufferBuilder, fbDequantizeBaseLayer);</div> |
| <div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  </div> |
| <div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  CreateAnyLayer(fbDequantizeLayer.o, serializer::Layer::Layer_DequantizeLayer);</div> |
| <div class="line"><a name="l00512"></a><span class="lineno"> 512</span> }</div> |
| <div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  </div> |
| <div class="line"><a name="l00514"></a><span class="lineno"> 514</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeDetectionPostProcessLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html">armnn::DetectionPostProcessDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keyword">const</span> std::vector<armnn::ConstTensor>& constants,</div> |
| <div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00518"></a><span class="lineno"> 518</span> {</div> |
| <div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  </div> |
| <div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a>& anchors = constants[0];</div> |
| <div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  </div> |
| <div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_DetectionPostProcess);</div> |
| <div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keyword">auto</span> fbDescriptor = CreateDetectionPostProcessDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#ae72089bcab60ac175557f4241b16a014">m_MaxDetections</a>,</div> |
| <div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#a9ae2c9796692ebeafe19a4d3f09c8ea8">m_MaxClassesPerDetection</a>,</div> |
| <div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#a7e2f87544b8bc7e497e1dec8d3ca4055">m_DetectionsPerClass</a>,</div> |
| <div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#a4392dd6b4862cc9cf95ae8f1001ba592">m_NmsScoreThreshold</a>,</div> |
| <div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#a53c8a7f33a40e1e240256bcfcf41b101">m_NmsIouThreshold</a>,</div> |
| <div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a>,</div> |
| <div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#a7ed9bc7c26df67d274d5dd4cd83adf0f">m_UseRegularNms</a>,</div> |
| <div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#ae64523937ea910030ad66fee6fddd51f">m_ScaleX</a>,</div> |
| <div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#a7a2156ec7d9c012ce00bbcc6afcb9028">m_ScaleY</a>,</div> |
| <div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#ab509802c659de19929f18bad14a35c58">m_ScaleW</a>,</div> |
| <div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#aa61510cbd529870182e918ac6e8b9d72">m_ScaleH</a>);</div> |
| <div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  </div> |
| <div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  flatbuffers::Offset<serializer::ConstTensor> fbAnchorsConstTensorInfo = CreateConstTensorInfo(anchors);</div> |
| <div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  </div> |
| <div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keyword">auto</span> flatBufferLayer = CreateDetectionPostProcessLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  fbBaseLayer,</div> |
| <div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  fbDescriptor,</div> |
| <div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  fbAnchorsConstTensorInfo);</div> |
| <div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  </div> |
| <div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_DetectionPostProcessLayer);</div> |
| <div class="line"><a name="l00545"></a><span class="lineno"> 545</span> }</div> |
| <div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  </div> |
| <div class="line"><a name="l00547"></a><span class="lineno"> 547</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeDivisionLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00548"></a><span class="lineno"> 548</span> {</div> |
| <div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  </div> |
| <div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keyword">auto</span> fbDivisionBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Division);</div> |
| <div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keyword">auto</span> fbDivisionLayer = serializer::CreateDivisionLayer(m_flatBufferBuilder, fbDivisionBaseLayer);</div> |
| <div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  </div> |
| <div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  CreateAnyLayer(fbDivisionLayer.o, serializer::Layer::Layer_DivisionLayer);</div> |
| <div class="line"><a name="l00555"></a><span class="lineno"> 555</span> }</div> |
| <div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  </div> |
| <div class="line"><a name="l00557"></a><span class="lineno"> 557</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeElementwiseBinaryLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html">armnn::ElementwiseBinaryDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00560"></a><span class="lineno"> 560</span> {</div> |
| <div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  </div> |
| <div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_ElementwiseBinary);</div> |
| <div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keyword">auto</span> fbDescriptor = serializer::CreateElementwiseBinaryDescriptor(</div> |
| <div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <a class="code" href="namespacearmnn_serializer.html#a3b7e287018684d7cbb6324e0943c069a">GetFlatBufferBinaryOperation</a>(descriptor.<a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">m_Operation</a>));</div> |
| <div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  </div> |
| <div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="keyword">auto</span> fbLayer = serializer::CreateElementwiseBinaryLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor);</div> |
| <div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_ElementwiseBinaryLayer);</div> |
| <div class="line"><a name="l00570"></a><span class="lineno"> 570</span> }</div> |
| <div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  </div> |
| <div class="line"><a name="l00572"></a><span class="lineno"> 572</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeElementwiseUnaryLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.html">armnn::ElementwiseUnaryDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00575"></a><span class="lineno"> 575</span> {</div> |
| <div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  </div> |
| <div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_ElementwiseUnary);</div> |
| <div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <span class="keyword">auto</span> fbDescriptor = serializer::CreateElementwiseUnaryDescriptor(</div> |
| <div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <a class="code" href="namespacearmnn_serializer.html#ae412d875ab8ff4d2fde2728ea25e49ba">GetFlatBufferUnaryOperation</a>(descriptor.<a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.html#afe768be66897eb3d73284424e3239b23">m_Operation</a>));</div> |
| <div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  </div> |
| <div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keyword">auto</span> fbLayer = serializer::CreateElementwiseUnaryLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor);</div> |
| <div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_ElementwiseUnaryLayer);</div> |
| <div class="line"><a name="l00585"></a><span class="lineno"> 585</span> }</div> |
| <div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  </div> |
| <div class="line"><a name="l00587"></a><span class="lineno"> 587</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeFillLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fill_descriptor.html">armnn::FillDescriptor</a>& fillDescriptor,</div> |
| <div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00590"></a><span class="lineno"> 590</span> {</div> |
| <div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  </div> |
| <div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keyword">auto</span> fbFillBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Fill);</div> |
| <div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  </div> |
| <div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="keyword">auto</span> fbDescriptor = serializer::CreateFillDescriptor(m_flatBufferBuilder, fillDescriptor.<a class="code" href="structarmnn_1_1_fill_descriptor.html#ab3ebc5cf4a617d43371a4cb7fecdeb32">m_Value</a>);</div> |
| <div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  </div> |
| <div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="keyword">auto</span> fbFillLayer = serializer::CreateFillLayer(m_flatBufferBuilder, fbFillBaseLayer, fbDescriptor);</div> |
| <div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  </div> |
| <div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  CreateAnyLayer(fbFillLayer.o, serializer::Layer::Layer_FillLayer);</div> |
| <div class="line"><a name="l00600"></a><span class="lineno"> 600</span> }</div> |
| <div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  </div> |
| <div class="line"><a name="l00602"></a><span class="lineno"> 602</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeFloorLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a> *layer, <span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div> |
| <div class="line"><a name="l00603"></a><span class="lineno"> 603</span> {</div> |
| <div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  </div> |
| <div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <span class="keyword">auto</span> flatBufferFloorBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Floor);</div> |
| <div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <span class="keyword">auto</span> flatBufferFloorLayer = serializer::CreateFloorLayer(m_flatBufferBuilder, flatBufferFloorBaseLayer);</div> |
| <div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  </div> |
| <div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  CreateAnyLayer(flatBufferFloorLayer.o, serializer::Layer::Layer_FloorLayer);</div> |
| <div class="line"><a name="l00610"></a><span class="lineno"> 610</span> }</div> |
| <div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  </div> |
| <div class="line"><a name="l00612"></a><span class="lineno"> 612</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeGatherLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_gather_descriptor.html">armnn::GatherDescriptor</a>& gatherDescriptor,</div> |
| <div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00615"></a><span class="lineno"> 615</span> {</div> |
| <div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  </div> |
| <div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keyword">auto</span> fbGatherDescriptor = CreateGatherDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  gatherDescriptor.<a class="code" href="structarmnn_1_1_gather_descriptor.html#a35d11c7d509d1adbae1ae01c58394a7f">m_Axis</a>);</div> |
| <div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keyword">auto</span> fbGatherBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Gather);</div> |
| <div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateGatherLayer(m_flatBufferBuilder, fbGatherBaseLayer, fbGatherDescriptor);</div> |
| <div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  </div> |
| <div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_GatherLayer);</div> |
| <div class="line"><a name="l00624"></a><span class="lineno"> 624</span> }</div> |
| <div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  </div> |
| <div class="line"><a name="l00626"></a><span class="lineno"> 626</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeGatherNdLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00628"></a><span class="lineno"> 628</span> {</div> |
| <div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  </div> |
| <div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keyword">auto</span> fbGatherNdBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_GatherNd);</div> |
| <div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateGatherNdLayer(m_flatBufferBuilder, fbGatherNdBaseLayer);</div> |
| <div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  </div> |
| <div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_GatherNdLayer);</div> |
| <div class="line"><a name="l00635"></a><span class="lineno"> 635</span> }</div> |
| <div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  </div> |
| <div class="line"><a name="l00637"></a><span class="lineno"> 637</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeInstanceNormalizationLayer(</div> |
| <div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.html">armnn::InstanceNormalizationDescriptor</a>& instanceNormalizationDescriptor,</div> |
| <div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00641"></a><span class="lineno"> 641</span> {</div> |
| <div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  </div> |
| <div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="keyword">auto</span> fbDescriptor = serializer::CreateInstanceNormalizationDescriptor(</div> |
| <div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  instanceNormalizationDescriptor.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.html#a5e078fd505aef7bccaa05c8058e096cc">m_Gamma</a>,</div> |
| <div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  instanceNormalizationDescriptor.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.html#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>,</div> |
| <div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  instanceNormalizationDescriptor.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.html#a11c821c7524251004a72ed13c510853c">m_Eps</a>,</div> |
| <div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(instanceNormalizationDescriptor.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div> |
| <div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  </div> |
| <div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_InstanceNormalization);</div> |
| <div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <span class="keyword">auto</span> fbLayer = serializer::CreateInstanceNormalizationLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor);</div> |
| <div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  </div> |
| <div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_InstanceNormalizationLayer);</div> |
| <div class="line"><a name="l00655"></a><span class="lineno"> 655</span> }</div> |
| <div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  </div> |
| <div class="line"><a name="l00657"></a><span class="lineno"> 657</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeL2NormalizationLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.html">armnn::L2NormalizationDescriptor</a>& l2NormalizationDescriptor,</div> |
| <div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00660"></a><span class="lineno"> 660</span> {</div> |
| <div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  </div> |
| <div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_L2Normalization);</div> |
| <div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  </div> |
| <div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="comment">// Create the FlatBuffer L2Normalization Descriptor</span></div> |
| <div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="keyword">auto</span> fbDescriptor = serializer::CreateL2NormalizationDescriptor(</div> |
| <div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(l2NormalizationDescriptor.<a class="code" href="structarmnn_1_1_l2_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>),</div> |
| <div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  l2NormalizationDescriptor.<a class="code" href="structarmnn_1_1_l2_normalization_descriptor.html#a11c821c7524251004a72ed13c510853c">m_Eps</a>);</div> |
| <div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  </div> |
| <div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="comment">// Create FlatBuffer layer</span></div> |
| <div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <span class="keyword">auto</span> fbLayer = serializer::CreateL2NormalizationLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor);</div> |
| <div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  </div> |
| <div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_L2NormalizationLayer);</div> |
| <div class="line"><a name="l00676"></a><span class="lineno"> 676</span> }</div> |
| <div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  </div> |
| <div class="line"><a name="l00678"></a><span class="lineno"> 678</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeLogicalBinaryLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_logical_binary_descriptor.html">armnn::LogicalBinaryDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00681"></a><span class="lineno"> 681</span> {</div> |
| <div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  </div> |
| <div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_LogicalBinary);</div> |
| <div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  <span class="keyword">auto</span> fbDescriptor = serializer::CreateLogicalBinaryDescriptor(</div> |
| <div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <a class="code" href="namespacearmnn_serializer.html#a3078a3b577bbd2aa0b133d4732b8e645">GetFlatBufferLogicalBinaryOperation</a>(descriptor.<a class="code" href="structarmnn_1_1_logical_binary_descriptor.html#a32c95d929d2e2e0fa7fc1a3a25865eb0">m_Operation</a>));</div> |
| <div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  </div> |
| <div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <span class="keyword">auto</span> fbLayer = serializer::CreateLogicalBinaryLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor);</div> |
| <div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_LogicalBinaryLayer);</div> |
| <div class="line"><a name="l00691"></a><span class="lineno"> 691</span> }</div> |
| <div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  </div> |
| <div class="line"><a name="l00693"></a><span class="lineno"> 693</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeLogSoftmaxLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.html">armnn::LogSoftmaxDescriptor</a>& logSoftmaxDescriptor,</div> |
| <div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00696"></a><span class="lineno"> 696</span> {</div> |
| <div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  </div> |
| <div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <span class="keyword">auto</span> flatBufferLogSoftmaxBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_LogSoftmax);</div> |
| <div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  </div> |
| <div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="comment">// Create the FlatBuffer LogSoftmaxDescriptor</span></div> |
| <div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keyword">auto</span> flatBufferLogSoftmaxDesc =</div> |
| <div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  serializer::CreateLogSoftmaxDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  logSoftmaxDescriptor.<a class="code" href="structarmnn_1_1_softmax_descriptor.html#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>,</div> |
| <div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  logSoftmaxDescriptor.<a class="code" href="structarmnn_1_1_softmax_descriptor.html#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>);</div> |
| <div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  </div> |
| <div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  <span class="comment">// Create the FlatBuffer LogSoftmaxLayer</span></div> |
| <div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  <span class="keyword">auto</span> flatBufferLogSoftmaxLayer =</div> |
| <div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  serializer::CreateLogSoftmaxLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  flatBufferLogSoftmaxBaseLayer,</div> |
| <div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  flatBufferLogSoftmaxDesc);</div> |
| <div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  </div> |
| <div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  CreateAnyLayer(flatBufferLogSoftmaxLayer.o, serializer::Layer::Layer_LogSoftmaxLayer);</div> |
| <div class="line"><a name="l00715"></a><span class="lineno"> 715</span> }</div> |
| <div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  </div> |
| <div class="line"><a name="l00717"></a><span class="lineno"> 717</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeLstmLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">armnn::LstmDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <span class="keyword">const</span> std::vector<armnn::ConstTensor>& constants,</div> |
| <div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00721"></a><span class="lineno"> 721</span> {</div> |
| <div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  </div> |
| <div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <span class="keyword">auto</span> fbLstmBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Lstm);</div> |
| <div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  </div> |
| <div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <span class="keyword">auto</span> fbLstmDescriptor = serializer::CreateLstmDescriptor(</div> |
| <div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ae1b07ed928036004bd257169e5aeeef4">m_ActivationFunc</a>,</div> |
| <div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a531a3907ec13d3772370da88030191a5">m_ClippingThresCell</a>,</div> |
| <div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a86e88bef0df4df96df752b4b8955a3af">m_ClippingThresProj</a>,</div> |
| <div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>,</div> |
| <div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>,</div> |
| <div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>,</div> |
| <div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>);</div> |
| <div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  </div> |
| <div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <span class="comment">// Index for constants vector</span></div> |
| <div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  std::size_t i = 0;</div> |
| <div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  </div> |
| <div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <span class="comment">// Get mandatory/basic input parameters</span></div> |
| <div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <span class="keyword">auto</span> inputToForgetWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputToForgetWeights</span></div> |
| <div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  <span class="keyword">auto</span> inputToCellWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputToCellWeights</span></div> |
| <div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <span class="keyword">auto</span> inputToOutputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputToOutputWeights</span></div> |
| <div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  <span class="keyword">auto</span> recurrentToForgetWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//RecurrentToForgetWeights</span></div> |
| <div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <span class="keyword">auto</span> recurrentToCellWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//RecurrentToCellWeights</span></div> |
| <div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <span class="keyword">auto</span> recurrentToOutputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//RecurrentToOutputWeights</span></div> |
| <div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  <span class="keyword">auto</span> forgetGateBias = CreateConstTensorInfo(constants[i++]); <span class="comment">//ForgetGateBias</span></div> |
| <div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  <span class="keyword">auto</span> cellBias = CreateConstTensorInfo(constants[i++]); <span class="comment">//CellBias</span></div> |
| <div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <span class="keyword">auto</span> outputGateBias = CreateConstTensorInfo(constants[i++]); <span class="comment">//OutputGateBias</span></div> |
| <div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  </div> |
| <div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  </div> |
| <div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  </div> |
| <div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <span class="comment">//Define optional parameters, these will be set depending on configuration in Lstm descriptor</span></div> |
| <div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  flatbuffers::Offset<serializer::ConstTensor> inputToInputWeights;</div> |
| <div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  flatbuffers::Offset<serializer::ConstTensor> recurrentToInputWeights;</div> |
| <div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  flatbuffers::Offset<serializer::ConstTensor> cellToInputWeights;</div> |
| <div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  flatbuffers::Offset<serializer::ConstTensor> inputGateBias;</div> |
| <div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  flatbuffers::Offset<serializer::ConstTensor> projectionWeights;</div> |
| <div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  flatbuffers::Offset<serializer::ConstTensor> projectionBias;</div> |
| <div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  flatbuffers::Offset<serializer::ConstTensor> cellToForgetWeights;</div> |
| <div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  flatbuffers::Offset<serializer::ConstTensor> cellToOutputWeights;</div> |
| <div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  flatbuffers::Offset<serializer::ConstTensor> inputLayerNormWeights;</div> |
| <div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  flatbuffers::Offset<serializer::ConstTensor> forgetLayerNormWeights;</div> |
| <div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  flatbuffers::Offset<serializer::ConstTensor> cellLayerNormWeights;</div> |
| <div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  flatbuffers::Offset<serializer::ConstTensor> outputLayerNormWeights;</div> |
| <div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  </div> |
| <div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> |
| <div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  {</div> |
| <div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  inputToInputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputToInputWeights</span></div> |
| <div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  recurrentToInputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//RecurrentToInputWeights</span></div> |
| <div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  inputGateBias = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputGateBias</span></div> |
| <div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  }</div> |
| <div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  </div> |
| <div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div> |
| <div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  {</div> |
| <div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> |
| <div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  {</div> |
| <div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  cellToInputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//CellToInputWeights</span></div> |
| <div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  }</div> |
| <div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  cellToForgetWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//CellToForgetWeights</span></div> |
| <div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  cellToOutputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//CellToOutputWeights</span></div> |
| <div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  }</div> |
| <div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  </div> |
| <div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div> |
| <div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  {</div> |
| <div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  projectionWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//ProjectionWeights</span></div> |
| <div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  projectionBias = CreateConstTensorInfo(constants[i++]); <span class="comment">//ProjectionBias</span></div> |
| <div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  }</div> |
| <div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  </div> |
| <div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div> |
| <div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  {</div> |
| <div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> |
| <div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  {</div> |
| <div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  inputLayerNormWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputLayerNormWeights</span></div> |
| <div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  }</div> |
| <div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  forgetLayerNormWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//ForgetLayerNormWeights</span></div> |
| <div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  cellLayerNormWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//CellLayerNormWeights</span></div> |
| <div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  outputLayerNormWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//OutputLayerNormWeights</span></div> |
| <div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  }</div> |
| <div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  </div> |
| <div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="keyword">auto</span> fbLstmParams = serializer::CreateLstmInputParams(</div> |
| <div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  inputToForgetWeights,</div> |
| <div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  inputToCellWeights,</div> |
| <div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  inputToOutputWeights,</div> |
| <div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  recurrentToForgetWeights,</div> |
| <div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  recurrentToCellWeights,</div> |
| <div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  recurrentToOutputWeights,</div> |
| <div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  forgetGateBias,</div> |
| <div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  cellBias,</div> |
| <div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  outputGateBias,</div> |
| <div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  inputToInputWeights,</div> |
| <div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  recurrentToInputWeights,</div> |
| <div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  cellToInputWeights,</div> |
| <div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  inputGateBias,</div> |
| <div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  projectionWeights,</div> |
| <div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  projectionBias,</div> |
| <div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  cellToForgetWeights,</div> |
| <div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  cellToOutputWeights,</div> |
| <div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  inputLayerNormWeights,</div> |
| <div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  forgetLayerNormWeights,</div> |
| <div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  cellLayerNormWeights,</div> |
| <div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  outputLayerNormWeights);</div> |
| <div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  </div> |
| <div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  <span class="keyword">auto</span> fbLstmLayer = serializer::CreateLstmLayer(</div> |
| <div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  fbLstmBaseLayer,</div> |
| <div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  fbLstmDescriptor,</div> |
| <div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  fbLstmParams);</div> |
| <div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  </div> |
| <div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  CreateAnyLayer(fbLstmLayer.o, serializer::Layer::Layer_LstmLayer);</div> |
| <div class="line"><a name="l00831"></a><span class="lineno"> 831</span> }</div> |
| <div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  </div> |
| <div class="line"><a name="l00833"></a><span class="lineno"> 833</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeMaximumLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00834"></a><span class="lineno"> 834</span> {</div> |
| <div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  </div> |
| <div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <span class="keyword">auto</span> fbMaximumBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Maximum);</div> |
| <div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  <span class="keyword">auto</span> fbMaximumLayer = serializer::CreateMaximumLayer(m_flatBufferBuilder, fbMaximumBaseLayer);</div> |
| <div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  </div> |
| <div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  CreateAnyLayer(fbMaximumLayer.o, serializer::Layer::Layer_MaximumLayer);</div> |
| <div class="line"><a name="l00841"></a><span class="lineno"> 841</span> }</div> |
| <div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  </div> |
| <div class="line"><a name="l00843"></a><span class="lineno"> 843</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeMeanLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.html">armnn::MeanDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00846"></a><span class="lineno"> 846</span> {</div> |
| <div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  </div> |
| <div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  <span class="keyword">auto</span> fbMeanBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Mean);</div> |
| <div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <span class="keyword">auto</span> fbMeanDescriptor = serializer::CreateMeanDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  m_flatBufferBuilder.CreateVector(descriptor.<a class="code" href="structarmnn_1_1_mean_descriptor.html#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a>),</div> |
| <div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  descriptor.<a class="code" href="structarmnn_1_1_mean_descriptor.html#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>);</div> |
| <div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  </div> |
| <div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  <span class="keyword">auto</span> fbMeanLayer = serializer::CreateMeanLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  fbMeanBaseLayer,</div> |
| <div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  fbMeanDescriptor);</div> |
| <div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  </div> |
| <div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  CreateAnyLayer(fbMeanLayer.o, serializer::Layer::Layer_MeanLayer);</div> |
| <div class="line"><a name="l00859"></a><span class="lineno"> 859</span> }</div> |
| <div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  </div> |
| <div class="line"><a name="l00861"></a><span class="lineno"> 861</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeMinimumLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00862"></a><span class="lineno"> 862</span> {</div> |
| <div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  </div> |
| <div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  <span class="keyword">auto</span> fbMinimumBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Minimum);</div> |
| <div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  <span class="keyword">auto</span> fbMinimumLayer = serializer::CreateMinimumLayer(m_flatBufferBuilder, fbMinimumBaseLayer);</div> |
| <div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  </div> |
| <div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  CreateAnyLayer(fbMinimumLayer.o, serializer::Layer::Layer_MinimumLayer);</div> |
| <div class="line"><a name="l00869"></a><span class="lineno"> 869</span> }</div> |
| <div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  </div> |
| <div class="line"><a name="l00871"></a><span class="lineno"> 871</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeMergeLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00872"></a><span class="lineno"> 872</span> {</div> |
| <div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  </div> |
| <div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  <span class="keyword">auto</span> fbMergeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Merge);</div> |
| <div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  <span class="keyword">auto</span> fbMergeLayer = serializer::CreateMergeLayer(m_flatBufferBuilder, fbMergeBaseLayer);</div> |
| <div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  </div> |
| <div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  CreateAnyLayer(fbMergeLayer.o, serializer::Layer::Layer_MergeLayer);</div> |
| <div class="line"><a name="l00879"></a><span class="lineno"> 879</span> }</div> |
| <div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  </div> |
| <div class="line"><a name="l00881"></a><span class="lineno"> 881</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeConcatLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.html">armnn::ConcatDescriptor</a>& concatDescriptor,</div> |
| <div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00884"></a><span class="lineno"> 884</span> {</div> |
| <div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  </div> |
| <div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  <span class="keyword">auto</span> flatBufferConcatBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Concat);</div> |
| <div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  </div> |
| <div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  std::vector<flatbuffers::Offset<UintVector>> views;</div> |
| <div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> v = 0; v < concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>(); ++v)</div> |
| <div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  {</div> |
| <div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  <span class="keyword">const</span> uint32_t* origin = concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#ab78e6fe963508c1ac5c00d04bb3361a3">GetViewOrigin</a>(v);</div> |
| <div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  std::vector<uint32_t> origins;</div> |
| <div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d < concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>(); ++d)</div> |
| <div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  {</div> |
| <div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  origins.push_back(origin[d]);</div> |
| <div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  }</div> |
| <div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  <span class="keyword">auto</span> view = m_flatBufferBuilder.CreateVector(origins);</div> |
| <div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  <span class="keyword">auto</span> uintVector = CreateUintVector(m_flatBufferBuilder, view);</div> |
| <div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  views.push_back(uintVector);</div> |
| <div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  }</div> |
| <div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  </div> |
| <div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  <span class="keyword">auto</span> flatBufferConcatDescriptor = CreateOriginsDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a379929e3b277f1ef94f3ce645870589d">GetConcatAxis</a>(),</div> |
| <div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>(),</div> |
| <div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>(),</div> |
| <div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  m_flatBufferBuilder.CreateVector(views));</div> |
| <div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  </div> |
| <div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  <span class="keyword">auto</span> flatBufferLayer = CreateConcatLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  flatBufferConcatBaseLayer,</div> |
| <div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  flatBufferConcatDescriptor);</div> |
| <div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  </div> |
| <div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ConcatLayer);</div> |
| <div class="line"><a name="l00914"></a><span class="lineno"> 914</span> }</div> |
| <div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  </div> |
| <div class="line"><a name="l00916"></a><span class="lineno"> 916</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeMultiplicationLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00917"></a><span class="lineno"> 917</span> {</div> |
| <div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  </div> |
| <div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  <span class="keyword">auto</span> fbMultiplicationBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Multiplication);</div> |
| <div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  <span class="keyword">auto</span> fbMultiplicationLayer = serializer::CreateMultiplicationLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  fbMultiplicationBaseLayer);</div> |
| <div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  </div> |
| <div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  CreateAnyLayer(fbMultiplicationLayer.o, serializer::Layer::Layer_MultiplicationLayer);</div> |
| <div class="line"><a name="l00925"></a><span class="lineno"> 925</span> }</div> |
| <div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  </div> |
| <div class="line"><a name="l00927"></a><span class="lineno"> 927</span> <span class="keywordtype">void</span> SerializerStrategy::SerializePadLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.html">armnn::PadDescriptor</a>& padDescriptor,</div> |
| <div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00930"></a><span class="lineno"> 930</span> {</div> |
| <div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  </div> |
| <div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Pad);</div> |
| <div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  </div> |
| <div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  std::vector<unsigned int> padList;</div> |
| <div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& p: padDescriptor.<a class="code" href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>)</div> |
| <div class="line"><a name="l00937"></a><span class="lineno"> 937</span>  {</div> |
| <div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  padList.push_back(p.first);</div> |
| <div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  padList.push_back(p.second);</div> |
| <div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  }</div> |
| <div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  </div> |
| <div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  <span class="keyword">auto</span> flatBufferPadDesc = serializer::CreatePadDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  m_flatBufferBuilder.CreateVector(padList),</div> |
| <div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  padDescriptor.<a class="code" href="structarmnn_1_1_pad_descriptor.html#a410fa919f78af0f0f100bd1594eca4ab">m_PadValue</a>,</div> |
| <div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  <a class="code" href="namespacearmnn_serializer.html#a3f9e0ff7f7311d76ca36101721503a07">GetFlatBufferPaddingMode</a>(padDescriptor.<a class="code" href="structarmnn_1_1_pad_descriptor.html#a66f2c989f51ab6116de4380390250b69">m_PaddingMode</a>));</div> |
| <div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  </div> |
| <div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  <span class="keyword">auto</span> flatBufferPadLayer = serializer::CreatePadLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  flatBufferBaseLayer,</div> |
| <div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  flatBufferPadDesc);</div> |
| <div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  </div> |
| <div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  CreateAnyLayer(flatBufferPadLayer.o, serializer::Layer::Layer_PadLayer);</div> |
| <div class="line"><a name="l00952"></a><span class="lineno"> 952</span> }</div> |
| <div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  </div> |
| <div class="line"><a name="l00954"></a><span class="lineno"> 954</span> <span class="keywordtype">void</span> SerializerStrategy::SerializePermuteLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.html">armnn::PermuteDescriptor</a>& permuteDescriptor,</div> |
| <div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00957"></a><span class="lineno"> 957</span> {</div> |
| <div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  </div> |
| <div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  <span class="keyword">auto</span> flatBufferPermuteBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Permute);</div> |
| <div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  </div> |
| <div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  std::vector<unsigned int> dimMappings;</div> |
| <div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i<permuteDescriptor.<a class="code" href="structarmnn_1_1_permute_descriptor.html#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>.<a class="code" href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>(); ++i)</div> |
| <div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  {</div> |
| <div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  dimMappings.push_back(permuteDescriptor.<a class="code" href="structarmnn_1_1_permute_descriptor.html#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>[i]);</div> |
| <div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  }</div> |
| <div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  </div> |
| <div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  <span class="keyword">auto</span> flatBufferPermuteDesc = serializer::CreatePermuteDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  m_flatBufferBuilder.CreateVector(dimMappings));</div> |
| <div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  </div> |
| <div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  <span class="comment">// Create the FlatBuffer PermuteLayer</span></div> |
| <div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  <span class="keyword">auto</span> flatBufferPermuteLayer = serializer::CreatePermuteLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  flatBufferPermuteBaseLayer,</div> |
| <div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  flatBufferPermuteDesc);</div> |
| <div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  </div> |
| <div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div> |
| <div class="line"><a name="l00978"></a><span class="lineno"> 978</span>  CreateAnyLayer(flatBufferPermuteLayer.o, serializer::Layer::Layer_PermuteLayer);</div> |
| <div class="line"><a name="l00979"></a><span class="lineno"> 979</span> }</div> |
| <div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  </div> |
| <div class="line"><a name="l00981"></a><span class="lineno"> 981</span> <span class="comment">// Build FlatBuffer for Rank Layer</span></div> |
| <div class="line"><a name="l00982"></a><span class="lineno"> 982</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeRankLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00984"></a><span class="lineno"> 984</span> {</div> |
| <div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Rank);</div> |
| <div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  <span class="keyword">auto</span> flatBufferRankLayer = serializer::CreateRankLayer(m_flatBufferBuilder, flatBufferBaseLayer);</div> |
| <div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  </div> |
| <div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  CreateAnyLayer(flatBufferRankLayer.o, serializer::Layer::Layer_RankLayer);</div> |
| <div class="line"><a name="l00990"></a><span class="lineno"> 990</span> }</div> |
| <div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  </div> |
| <div class="line"><a name="l00992"></a><span class="lineno"> 992</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeReduceLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reduce_descriptor.html">armnn::ReduceDescriptor</a>& reduceDescriptor,</div> |
| <div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>*)</div> |
| <div class="line"><a name="l00995"></a><span class="lineno"> 995</span> {</div> |
| <div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  <span class="keyword">auto</span> fbReduceBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Reduce);</div> |
| <div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  <span class="keyword">auto</span> fbDescriptor = CreateReduceDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  reduceDescriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>,</div> |
| <div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  m_flatBufferBuilder.CreateVector(reduceDescriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>),</div> |
| <div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  <a class="code" href="namespacearmnn_serializer.html#a2a4a81f69c4a84c4637c2e90e4e47968">GetFlatBufferReduceOperation</a>(reduceDescriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa57c67b1da0011b1abb30170146e870f">m_ReduceOperation</a>));</div> |
| <div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <span class="keyword">auto</span> fbReduceLayer = serializer::CreateReduceLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  fbReduceBaseLayer,</div> |
| <div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  fbDescriptor);</div> |
| <div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  </div> |
| <div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  CreateAnyLayer(fbReduceLayer.o, serializer::Layer::Layer_ReduceLayer);</div> |
| <div class="line"><a name="l01006"></a><span class="lineno"> 1006</span> }</div> |
| <div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  </div> |
| <div class="line"><a name="l01008"></a><span class="lineno"> 1008</span> <span class="comment">// Build FlatBuffer for Reshape Layer</span></div> |
| <div class="line"><a name="l01009"></a><span class="lineno"> 1009</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeReshapeLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.html">armnn::ReshapeDescriptor</a>& reshapeDescriptor,</div> |
| <div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01012"></a><span class="lineno"> 1012</span> {</div> |
| <div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  </div> |
| <div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  <span class="keyword">auto</span> flatBufferReshapeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Reshape);</div> |
| <div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  </div> |
| <div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  std::vector<unsigned int> targetShape;</div> |
| <div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i =0; i < reshapeDescriptor.<a class="code" href="structarmnn_1_1_reshape_descriptor.html#a1178f4dafdda81f59c15145ec327f7d9">m_TargetShape</a>.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); i++)</div> |
| <div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  {</div> |
| <div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  targetShape.push_back(reshapeDescriptor.<a class="code" href="structarmnn_1_1_reshape_descriptor.html#a1178f4dafdda81f59c15145ec327f7d9">m_TargetShape</a>[i]);</div> |
| <div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  }</div> |
| <div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  </div> |
| <div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  <span class="keyword">auto</span> flatBufferReshapeDesc = serializer::CreateReshapeDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  m_flatBufferBuilder.CreateVector(targetShape));</div> |
| <div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  </div> |
| <div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  <span class="comment">// Create the FlatBuffer ReshapeLayer</span></div> |
| <div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  <span class="keyword">auto</span> flatBufferReshapeLayer = serializer::CreateReshapeLayer(m_flatBufferBuilder, flatBufferReshapeBaseLayer,</div> |
| <div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  flatBufferReshapeDesc);</div> |
| <div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  </div> |
| <div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div> |
| <div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  CreateAnyLayer(flatBufferReshapeLayer.o, serializer::Layer::Layer_ReshapeLayer);</div> |
| <div class="line"><a name="l01033"></a><span class="lineno"> 1033</span> }</div> |
| <div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  </div> |
| <div class="line"><a name="l01035"></a><span class="lineno"> 1035</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeResizeLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.html">armnn::ResizeDescriptor</a>& resizeDescriptor,</div> |
| <div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01038"></a><span class="lineno"> 1038</span> {</div> |
| <div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  </div> |
| <div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Resize);</div> |
| <div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  </div> |
| <div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  <span class="keyword">auto</span> flatBufferDescriptor =</div> |
| <div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  CreateResizeDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  resizeDescriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.html#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a>,</div> |
| <div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  resizeDescriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.html#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a>,</div> |
| <div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <a class="code" href="namespacearmnn_serializer.html#a255a85366167a060a9e33ce2378f28a0">GetFlatBufferResizeMethod</a>(resizeDescriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.html#a869254cb56968986a78a79e1d6d4a86b">m_Method</a>),</div> |
| <div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(resizeDescriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>),</div> |
| <div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  resizeDescriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.html#ae1a4b3b6c60552509b89747cebb900a2">m_AlignCorners</a>,</div> |
| <div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  resizeDescriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.html#a4022d5107338aaf5eb7abebf78a1360b">m_HalfPixelCenters</a>);</div> |
| <div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  </div> |
| <div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateResizeLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  flatBufferBaseLayer,</div> |
| <div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  flatBufferDescriptor);</div> |
| <div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  </div> |
| <div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ResizeLayer);</div> |
| <div class="line"><a name="l01057"></a><span class="lineno"> 1057</span> }</div> |
| <div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  </div> |
| <div class="line"><a name="l01059"></a><span class="lineno"> 1059</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeReverseV2Layer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01061"></a><span class="lineno"> 1061</span> {</div> |
| <div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>  </div> |
| <div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_ReverseV2);</div> |
| <div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  </div> |
| <div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateReverseV2Layer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  flatBufferBaseLayer);</div> |
| <div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  </div> |
| <div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ReverseV2Layer);</div> |
| <div class="line"><a name="l01070"></a><span class="lineno"> 1070</span> }</div> |
| <div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  </div> |
| <div class="line"><a name="l01072"></a><span class="lineno"> 1072</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeSliceLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.html">armnn::SliceDescriptor</a>& sliceDescriptor,</div> |
| <div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01075"></a><span class="lineno"> 1075</span> {</div> |
| <div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  </div> |
| <div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  <span class="keyword">auto</span> fbSliceBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Slice);</div> |
| <div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  <span class="keyword">auto</span> fbSliceDescriptor = CreateSliceDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  m_flatBufferBuilder.CreateVector(sliceDescriptor.<a class="code" href="structarmnn_1_1_slice_descriptor.html#a4939f00778f08d6c6fec6f74c0a59b7e">m_Begin</a>),</div> |
| <div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  m_flatBufferBuilder.CreateVector(sliceDescriptor.<a class="code" href="structarmnn_1_1_slice_descriptor.html#ab52cabf19232290fa6b49828ba957ac0">m_Size</a>));</div> |
| <div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  </div> |
| <div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  <span class="keyword">auto</span> fbSliceLayer = serializer::CreateSliceLayer(m_flatBufferBuilder, fbSliceBaseLayer, fbSliceDescriptor);</div> |
| <div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  </div> |
| <div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  CreateAnyLayer(fbSliceLayer.o, serializer::Layer::Layer_SliceLayer);</div> |
| <div class="line"><a name="l01086"></a><span class="lineno"> 1086</span> }</div> |
| <div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  </div> |
| <div class="line"><a name="l01088"></a><span class="lineno"> 1088</span> <span class="comment">// Build FlatBuffer for Softmax Layer</span></div> |
| <div class="line"><a name="l01089"></a><span class="lineno"> 1089</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeSoftmaxLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.html">armnn::SoftmaxDescriptor</a>& softmaxDescriptor,</div> |
| <div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01092"></a><span class="lineno"> 1092</span> {</div> |
| <div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  </div> |
| <div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  <span class="keyword">auto</span> flatBufferSoftmaxBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Softmax);</div> |
| <div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  </div> |
| <div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  <span class="comment">// Create the FlatBuffer SoftmaxDescriptor</span></div> |
| <div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  <span class="keyword">auto</span> flatBufferSoftmaxDesc =</div> |
| <div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  serializer::CreateSoftmaxDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>  softmaxDescriptor.<a class="code" href="structarmnn_1_1_softmax_descriptor.html#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>,</div> |
| <div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  softmaxDescriptor.<a class="code" href="structarmnn_1_1_softmax_descriptor.html#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>);</div> |
| <div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>  </div> |
| <div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>  <span class="comment">// Create the FlatBuffer SoftmaxLayer</span></div> |
| <div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>  <span class="keyword">auto</span> flatBufferSoftmaxLayer =</div> |
| <div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>  serializer::CreateSoftmaxLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>  flatBufferSoftmaxBaseLayer,</div> |
| <div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  flatBufferSoftmaxDesc);</div> |
| <div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  </div> |
| <div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  CreateAnyLayer(flatBufferSoftmaxLayer.o, serializer::Layer::Layer_SoftmaxLayer);</div> |
| <div class="line"><a name="l01111"></a><span class="lineno"> 1111</span> }</div> |
| <div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  </div> |
| <div class="line"><a name="l01113"></a><span class="lineno"> 1113</span> <span class="keywordtype">void</span> SerializerStrategy::SerializePooling2dLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.html">armnn::Pooling2dDescriptor</a>& pooling2dDescriptor,</div> |
| <div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01116"></a><span class="lineno"> 1116</span> {</div> |
| <div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  </div> |
| <div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>  <span class="keyword">auto</span> fbPooling2dBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Pooling2d);</div> |
| <div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  <span class="keyword">auto</span> fbPooling2dDescriptor = serializer::CreatePooling2dDescriptor(</div> |
| <div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  <a class="code" href="namespacearmnn_serializer.html#ac2eceb2274af867d713fe44720fc2d4e">GetFlatBufferPoolingAlgorithm</a>(pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a0031997bf43bd2747656c31e4977793a">m_PoolType</a>),</div> |
| <div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>,</div> |
| <div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>  pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>,</div> |
| <div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>  pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>,</div> |
| <div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>,</div> |
| <div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a>,</div> |
| <div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a>,</div> |
| <div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>  pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>,</div> |
| <div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>,</div> |
| <div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  <a class="code" href="namespacearmnn_serializer.html#aa5f62540b7f991c1522cf9c43fc005ee">GetFlatBufferOutputShapeRounding</a>(pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a>),</div> |
| <div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  <a class="code" href="namespacearmnn_serializer.html#a30eb1e8d2a9b090243c4ededa17746b7">GetFlatBufferPaddingMethod</a>(pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a8c29d6ea9b4186d69aad5961c910939c">m_PaddingMethod</a>),</div> |
| <div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div> |
| <div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>  </div> |
| <div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  <span class="keyword">auto</span> fbPooling2dLayer = serializer::CreatePooling2dLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  fbPooling2dBaseLayer,</div> |
| <div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>  fbPooling2dDescriptor);</div> |
| <div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  </div> |
| <div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  CreateAnyLayer(fbPooling2dLayer.o, serializer::Layer::Layer_Pooling2dLayer);</div> |
| <div class="line"><a name="l01140"></a><span class="lineno"> 1140</span> }</div> |
| <div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  </div> |
| <div class="line"><a name="l01142"></a><span class="lineno"> 1142</span> <span class="keywordtype">void</span> SerializerStrategy::SerializePooling3dLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.html">armnn::Pooling3dDescriptor</a>& pooling3dDescriptor,</div> |
| <div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01145"></a><span class="lineno"> 1145</span> {</div> |
| <div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>  </div> |
| <div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>  <span class="keyword">auto</span> fbPooling3dBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Pooling3d);</div> |
| <div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>  <span class="keyword">auto</span> fbPooling3dDescriptor = serializer::CreatePooling3dDescriptor(</div> |
| <div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>  <a class="code" href="namespacearmnn_serializer.html#ac2eceb2274af867d713fe44720fc2d4e">GetFlatBufferPoolingAlgorithm</a>(pooling3dDescriptor.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.html#a0031997bf43bd2747656c31e4977793a">m_PoolType</a>),</div> |
| <div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  pooling3dDescriptor.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>,</div> |
| <div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>  pooling3dDescriptor.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>,</div> |
| <div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  pooling3dDescriptor.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>,</div> |
| <div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>  pooling3dDescriptor.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>,</div> |
| <div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  pooling3dDescriptor.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.html#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a>,</div> |
| <div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>  pooling3dDescriptor.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.html#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a>,</div> |
| <div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>  pooling3dDescriptor.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.html#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a>,</div> |
| <div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>  pooling3dDescriptor.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.html#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a>,</div> |
| <div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>  pooling3dDescriptor.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.html#acc978b36fd5d949bc781d7638e6e08b9">m_PoolDepth</a>,</div> |
| <div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>  pooling3dDescriptor.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>,</div> |
| <div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  pooling3dDescriptor.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>,</div> |
| <div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  pooling3dDescriptor.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.html#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a>,</div> |
| <div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  <a class="code" href="namespacearmnn_serializer.html#aa5f62540b7f991c1522cf9c43fc005ee">GetFlatBufferOutputShapeRounding</a>(pooling3dDescriptor.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.html#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a>),</div> |
| <div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>  <a class="code" href="namespacearmnn_serializer.html#a30eb1e8d2a9b090243c4ededa17746b7">GetFlatBufferPaddingMethod</a>(pooling3dDescriptor.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.html#a8c29d6ea9b4186d69aad5961c910939c">m_PaddingMethod</a>),</div> |
| <div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(pooling3dDescriptor.<a class="code" href="structarmnn_1_1_pooling3d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div> |
| <div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>  </div> |
| <div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  <span class="keyword">auto</span> fbPooling3dLayer = serializer::CreatePooling3dLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>  fbPooling3dBaseLayer,</div> |
| <div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  fbPooling3dDescriptor);</div> |
| <div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  </div> |
| <div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  CreateAnyLayer(fbPooling3dLayer.o, serializer::Layer::Layer_Pooling3dLayer);</div> |
| <div class="line"><a name="l01173"></a><span class="lineno"> 1173</span> }</div> |
| <div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  </div> |
| <div class="line"><a name="l01175"></a><span class="lineno"> 1175</span> <span class="keywordtype">void</span> SerializerStrategy::SerializePreluLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01177"></a><span class="lineno"> 1177</span> {</div> |
| <div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>  </div> |
| <div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>  <span class="keyword">auto</span> flatBufferPreluBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Prelu);</div> |
| <div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>  </div> |
| <div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>  <span class="comment">// Create the FlatBuffer AdditionLayer</span></div> |
| <div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>  <span class="keyword">auto</span> flatBufferPreluLayer = serializer::CreatePreluLayer(m_flatBufferBuilder, flatBufferPreluBaseLayer);</div> |
| <div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>  </div> |
| <div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div> |
| <div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>  CreateAnyLayer(flatBufferPreluLayer.o, serializer::Layer::Layer_PreluLayer);</div> |
| <div class="line"><a name="l01188"></a><span class="lineno"> 1188</span> }</div> |
| <div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>  </div> |
| <div class="line"><a name="l01190"></a><span class="lineno"> 1190</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeQuantizeLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a> *layer, <span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div> |
| <div class="line"><a name="l01191"></a><span class="lineno"> 1191</span> {</div> |
| <div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>  </div> |
| <div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>  <span class="keyword">auto</span> fbQuantizeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Quantize);</div> |
| <div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>  <span class="keyword">auto</span> fbQuantizeLayer = serializer::CreateQuantizeLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>  fbQuantizeBaseLayer);</div> |
| <div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>  CreateAnyLayer(fbQuantizeLayer.o, serializer::Layer::Layer_QuantizeLayer);</div> |
| <div class="line"><a name="l01198"></a><span class="lineno"> 1198</span> }</div> |
| <div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>  </div> |
| <div class="line"><a name="l01200"></a><span class="lineno"> 1200</span> <span class="comment">// Build FlatBuffer for FullyConnected Layer</span></div> |
| <div class="line"><a name="l01201"></a><span class="lineno"> 1201</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeFullyConnectedLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.html">armnn::FullyConnectedDescriptor</a>& fullyConnectedDescriptor,</div> |
| <div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>*)</div> |
| <div class="line"><a name="l01204"></a><span class="lineno"> 1204</span> {</div> |
| <div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l01206"></a><span class="lineno"> 1206</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_FullyConnected);</div> |
| <div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>  </div> |
| <div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>  <span class="comment">// Create FlatBuffer FullyConnectedDescriptor</span></div> |
| <div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>  <span class="keyword">auto</span> flatBufferDescriptor =</div> |
| <div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  serializer::CreateFullyConnectedDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>  fullyConnectedDescriptor.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>,</div> |
| <div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>  fullyConnectedDescriptor.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.html#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a>,</div> |
| <div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>  fullyConnectedDescriptor.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.html#a2d3dcfc10f90adedc995b64211dab6e9">m_ConstantWeights</a>);</div> |
| <div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>  </div> |
| <div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>  <span class="comment">// Create FlatBuffer FullyConnectedLayer</span></div> |
| <div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateFullyConnectedLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>  flatBufferBaseLayer,</div> |
| <div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>  flatBufferDescriptor);</div> |
| <div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>  </div> |
| <div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>  <span class="comment">// Add created FullyConnectedLayer to the FlatBufferLayers</span></div> |
| <div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_FullyConnectedLayer);</div> |
| <div class="line"><a name="l01222"></a><span class="lineno"> 1222</span> }</div> |
| <div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>  </div> |
| <div class="line"><a name="l01224"></a><span class="lineno"> 1224</span> <span class="comment">// Build FlatBuffer for SpaceToBatchNd Layer</span></div> |
| <div class="line"><a name="l01225"></a><span class="lineno"> 1225</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeSpaceToBatchNdLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html">armnn::SpaceToBatchNdDescriptor</a>& spaceToBatchNdDescriptor,</div> |
| <div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01228"></a><span class="lineno"> 1228</span> {</div> |
| <div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>  </div> |
| <div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_SpaceToBatchNd);</div> |
| <div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>  </div> |
| <div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  std::vector<unsigned int> padList;</div> |
| <div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>  padList.reserve(spaceToBatchNdDescriptor.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>.size()*2);</div> |
| <div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& pad : spaceToBatchNdDescriptor.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>)</div> |
| <div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>  {</div> |
| <div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>  padList.push_back(pad.first);</div> |
| <div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>  padList.push_back(pad.second);</div> |
| <div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>  }</div> |
| <div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>  </div> |
| <div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>  <span class="keyword">auto</span> flatBufferDescriptor =</div> |
| <div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>  CreateSpaceToBatchNdDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>  m_flatBufferBuilder.CreateVector(spaceToBatchNdDescriptor.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>),</div> |
| <div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>  m_flatBufferBuilder.CreateVector(padList),</div> |
| <div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(spaceToBatchNdDescriptor.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div> |
| <div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>  </div> |
| <div class="line"><a name="l01248"></a><span class="lineno"> 1248</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateSpaceToBatchNdLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>  flatBufferBaseLayer,</div> |
| <div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>  flatBufferDescriptor);</div> |
| <div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>  </div> |
| <div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_SpaceToBatchNdLayer);</div> |
| <div class="line"><a name="l01253"></a><span class="lineno"> 1253</span> }</div> |
| <div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>  </div> |
| <div class="line"><a name="l01255"></a><span class="lineno"> 1255</span> <span class="comment">// Build FlatBuffer for SpaceToDepthLayer</span></div> |
| <div class="line"><a name="l01256"></a><span class="lineno"> 1256</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeSpaceToDepthLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01257"></a><span class="lineno"> 1257</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">armnn::SpaceToDepthDescriptor</a>& spaceToDepthDescriptor,</div> |
| <div class="line"><a name="l01258"></a><span class="lineno"> 1258</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01259"></a><span class="lineno"> 1259</span> {</div> |
| <div class="line"><a name="l01260"></a><span class="lineno"> 1260</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>  </div> |
| <div class="line"><a name="l01262"></a><span class="lineno"> 1262</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_SpaceToDepth);</div> |
| <div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>  <span class="keyword">auto</span> flatBufferDescriptor =</div> |
| <div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>  CreateSpaceToDepthDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>  spaceToDepthDescriptor.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a>,</div> |
| <div class="line"><a name="l01266"></a><span class="lineno"> 1266</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(spaceToDepthDescriptor.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div> |
| <div class="line"><a name="l01267"></a><span class="lineno"> 1267</span>  </div> |
| <div class="line"><a name="l01268"></a><span class="lineno"> 1268</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateSpaceToDepthLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>  flatBufferBaseLayer,</div> |
| <div class="line"><a name="l01270"></a><span class="lineno"> 1270</span>  flatBufferDescriptor);</div> |
| <div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>  </div> |
| <div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_SpaceToDepthLayer);</div> |
| <div class="line"><a name="l01273"></a><span class="lineno"> 1273</span> }</div> |
| <div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>  </div> |
| <div class="line"><a name="l01275"></a><span class="lineno"> 1275</span> <span class="comment">// Build FlatBuffer for Splitter Layer</span></div> |
| <div class="line"><a name="l01276"></a><span class="lineno"> 1276</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeSplitterLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.html">armnn::ViewsDescriptor</a>& viewsDescriptor,</div> |
| <div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01279"></a><span class="lineno"> 1279</span> {</div> |
| <div class="line"><a name="l01280"></a><span class="lineno"> 1280</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>  </div> |
| <div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>  <span class="comment">// Create FlatBuffer ViewOrigins</span></div> |
| <div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>  std::vector<flatbuffers::Offset<UintVector>> flatBufferViewOrigins;</div> |
| <div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>  flatBufferViewOrigins.reserve(viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>());</div> |
| <div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>  </div> |
| <div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> vIdx = 0; vIdx < viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>(); ++vIdx)</div> |
| <div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>  {</div> |
| <div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>  std::vector<uint32_t> viewOrigin;</div> |
| <div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>  viewOrigin.reserve(viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>());</div> |
| <div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>  </div> |
| <div class="line"><a name="l01291"></a><span class="lineno"> 1291</span>  <span class="comment">// Copy vector</span></div> |
| <div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dIdx = 0; dIdx < viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>(); ++dIdx)</div> |
| <div class="line"><a name="l01293"></a><span class="lineno"> 1293</span>  {</div> |
| <div class="line"><a name="l01294"></a><span class="lineno"> 1294</span>  viewOrigin.push_back(viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#ab78e6fe963508c1ac5c00d04bb3361a3">GetViewOrigin</a>(vIdx)[dIdx]);</div> |
| <div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>  }</div> |
| <div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>  </div> |
| <div class="line"><a name="l01297"></a><span class="lineno"> 1297</span>  flatBufferViewOrigins.push_back(CreateUintVector(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>  m_flatBufferBuilder.CreateVector(viewOrigin)));</div> |
| <div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>  }</div> |
| <div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>  </div> |
| <div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>  <span class="comment">// Create FlatBuffer OriginsDescriptor</span></div> |
| <div class="line"><a name="l01302"></a><span class="lineno"> 1302</span>  <span class="keyword">auto</span> flatBufferOriginDescriptor = CreateOriginsDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>  viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a88d7c8ef4baba3690a4d25eec350ecb3">GetOrigins</a>().<a class="code" href="structarmnn_1_1_origins_descriptor.html#a379929e3b277f1ef94f3ce645870589d">GetConcatAxis</a>(),</div> |
| <div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>  viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a88d7c8ef4baba3690a4d25eec350ecb3">GetOrigins</a>().<a class="code" href="structarmnn_1_1_origins_descriptor.html#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>(),</div> |
| <div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>  viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a88d7c8ef4baba3690a4d25eec350ecb3">GetOrigins</a>().<a class="code" href="structarmnn_1_1_origins_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>(),</div> |
| <div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>  m_flatBufferBuilder.CreateVector(flatBufferViewOrigins));</div> |
| <div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>  </div> |
| <div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>  <span class="comment">// Create FlatBuffer ViewOrigins</span></div> |
| <div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>  std::vector<flatbuffers::Offset<UintVector>> flatBufferViewSizes;</div> |
| <div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>  flatBufferViewSizes.reserve(viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>());</div> |
| <div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>  </div> |
| <div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> vIdx = 0; vIdx < viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>(); ++vIdx)</div> |
| <div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>  {</div> |
| <div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>  std::vector<uint32_t> viewSize;</div> |
| <div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>  viewSize.reserve(viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>());</div> |
| <div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>  </div> |
| <div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>  <span class="comment">// Copy vector</span></div> |
| <div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dIdx = 0; dIdx < viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>(); ++dIdx)</div> |
| <div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>  {</div> |
| <div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>  viewSize.push_back(viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a3c1ab47a0a319413b3a4b5757ed5b80b">GetViewSizes</a>(vIdx)[dIdx]);</div> |
| <div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>  }</div> |
| <div class="line"><a name="l01322"></a><span class="lineno"> 1322</span>  </div> |
| <div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>  flatBufferViewSizes.push_back(CreateUintVector(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>  m_flatBufferBuilder.CreateVector(viewSize)));</div> |
| <div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>  }</div> |
| <div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>  </div> |
| <div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>  <span class="comment">// Create FlatBuffer ViewsDescriptor</span></div> |
| <div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>  <span class="keyword">auto</span> flatBufferViewsDescriptor = CreateViewsDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>  flatBufferOriginDescriptor,</div> |
| <div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>  m_flatBufferBuilder.CreateVector(flatBufferViewSizes),</div> |
| <div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>  viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a0863c05ae66572108c23853f8f003b55">HasAxis</a>(),</div> |
| <div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>  viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.html#a109d4dc452ce677b1e0791cb2a6b781e">GetAxis</a>());</div> |
| <div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>  </div> |
| <div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Splitter);</div> |
| <div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>  </div> |
| <div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>  <span class="keyword">auto</span> flatBufferSplitterLayer = serializer::CreateSplitterLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>  flatBufferBaseLayer,</div> |
| <div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>  flatBufferViewsDescriptor);</div> |
| <div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>  </div> |
| <div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>  CreateAnyLayer(flatBufferSplitterLayer.o, serializer::Layer::Layer_SplitterLayer);</div> |
| <div class="line"><a name="l01342"></a><span class="lineno"> 1342</span> }</div> |
| <div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>  </div> |
| <div class="line"><a name="l01344"></a><span class="lineno"> 1344</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeNormalizationLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.html">armnn::NormalizationDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01347"></a><span class="lineno"> 1347</span> {</div> |
| <div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>  </div> |
| <div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>  <span class="keyword">auto</span> fbNormalizationBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Normalization);</div> |
| <div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>  </div> |
| <div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>  <span class="keyword">auto</span> fbNormalizationDescriptor = serializer::CreateNormalizationDescriptor(</div> |
| <div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>  <a class="code" href="namespacearmnn_serializer.html#af279947f1e42035d0f611e5b8cd70cb2">GetFlatBufferNormalizationAlgorithmChannel</a>(descriptor.<a class="code" href="structarmnn_1_1_normalization_descriptor.html#afe1f0f09d49ad2befc01f8789187b7dd">m_NormChannelType</a>),</div> |
| <div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>  <a class="code" href="namespacearmnn_serializer.html#ac813f02c91c348db92b5a40ecfa0135e">GetFlatBufferNormalizationAlgorithmMethod</a>(descriptor.<a class="code" href="structarmnn_1_1_normalization_descriptor.html#a05945f080edf694b631960728b87aadb">m_NormMethodType</a>),</div> |
| <div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>  descriptor.<a class="code" href="structarmnn_1_1_normalization_descriptor.html#aa70c05f1aad12fbd9d9ec43ea4557b03">m_NormSize</a>,</div> |
| <div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>  descriptor.<a class="code" href="structarmnn_1_1_normalization_descriptor.html#a174279be57d7596eeb04c6b7f7510f99">m_Alpha</a>,</div> |
| <div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>  descriptor.<a class="code" href="structarmnn_1_1_normalization_descriptor.html#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>,</div> |
| <div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>  descriptor.<a class="code" href="structarmnn_1_1_normalization_descriptor.html#a8526ea7cf860d8e7f8340e9f9354f9f0">m_K</a>,</div> |
| <div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(descriptor.<a class="code" href="structarmnn_1_1_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div> |
| <div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>  </div> |
| <div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateNormalizationLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01363"></a><span class="lineno"> 1363</span>  fbNormalizationBaseLayer,</div> |
| <div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>  fbNormalizationDescriptor);</div> |
| <div class="line"><a name="l01365"></a><span class="lineno"> 1365</span>  </div> |
| <div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_NormalizationLayer);</div> |
| <div class="line"><a name="l01367"></a><span class="lineno"> 1367</span> }</div> |
| <div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>  </div> |
| <div class="line"><a name="l01369"></a><span class="lineno"> 1369</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeScatterNdLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_scatter_nd_descriptor.html">armnn::ScatterNdDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01372"></a><span class="lineno"> 1372</span> {</div> |
| <div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>  </div> |
| <div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_ScatterNd);</div> |
| <div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>  </div> |
| <div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>  <span class="keyword">auto</span> flatBufferDesc = serializer::CreateScatterNdDescriptor(</div> |
| <div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>  <a class="code" href="namespacearmnn_serializer.html#aa7f2df39a8ac495df172c6d473780dfb">GetFlatBufferScatterNdFunction</a>(descriptor.<a class="code" href="structarmnn_1_1_scatter_nd_descriptor.html#a2beb2331d0aff8e24d17f16cca34784c">m_Function</a>),</div> |
| <div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>  descriptor.<a class="code" href="structarmnn_1_1_scatter_nd_descriptor.html#a12501f4f1f889d0b63f8a6067cdaad4a">m_InputEnabled</a>,</div> |
| <div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>  descriptor.<a class="code" href="structarmnn_1_1_scatter_nd_descriptor.html#a35d11c7d509d1adbae1ae01c58394a7f">m_Axis</a>,</div> |
| <div class="line"><a name="l01383"></a><span class="lineno"> 1383</span>  descriptor.<a class="code" href="structarmnn_1_1_scatter_nd_descriptor.html#a96a5cc69bb69aea9cb10cdf17f74fbd4">m_AxisEnabled</a>);</div> |
| <div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>  </div> |
| <div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>  <span class="comment">// Create the FlatBuffer TileLayer</span></div> |
| <div class="line"><a name="l01386"></a><span class="lineno"> 1386</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateScatterNdLayer(</div> |
| <div class="line"><a name="l01387"></a><span class="lineno"> 1387</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01388"></a><span class="lineno"> 1388</span>  flatBufferBaseLayer,</div> |
| <div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>  flatBufferDesc);</div> |
| <div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>  </div> |
| <div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div> |
| <div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ScatterNdLayer);</div> |
| <div class="line"><a name="l01393"></a><span class="lineno"> 1393</span> }</div> |
| <div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>  </div> |
| <div class="line"><a name="l01395"></a><span class="lineno"> 1395</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeShapeLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01397"></a><span class="lineno"> 1397</span> {</div> |
| <div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01399"></a><span class="lineno"> 1399</span>  </div> |
| <div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>  <span class="keyword">auto</span> shapeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Shape);</div> |
| <div class="line"><a name="l01401"></a><span class="lineno"> 1401</span>  <span class="keyword">auto</span> shapeLayer = serializer::CreateShapeLayer(m_flatBufferBuilder, shapeBaseLayer);</div> |
| <div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>  </div> |
| <div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>  CreateAnyLayer(shapeLayer.o, serializer::Layer::Layer_ShapeLayer);</div> |
| <div class="line"><a name="l01404"></a><span class="lineno"> 1404</span> }</div> |
| <div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>  </div> |
| <div class="line"><a name="l01406"></a><span class="lineno"> 1406</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeStackLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.html">armnn::StackDescriptor</a>& stackDescriptor,</div> |
| <div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01409"></a><span class="lineno"> 1409</span> {</div> |
| <div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>  </div> |
| <div class="line"><a name="l01412"></a><span class="lineno"> 1412</span>  <span class="keyword">auto</span> stackBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Stack);</div> |
| <div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>  </div> |
| <div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>  std::vector<unsigned int> inputShape;</div> |
| <div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i =0; i < stackDescriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.html#a2bea87b470268bb0b73457c3733dbc04">m_InputShape</a>.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); i++)</div> |
| <div class="line"><a name="l01416"></a><span class="lineno"> 1416</span>  {</div> |
| <div class="line"><a name="l01417"></a><span class="lineno"> 1417</span>  inputShape.push_back(stackDescriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.html#a2bea87b470268bb0b73457c3733dbc04">m_InputShape</a>[i]);</div> |
| <div class="line"><a name="l01418"></a><span class="lineno"> 1418</span>  }</div> |
| <div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>  </div> |
| <div class="line"><a name="l01420"></a><span class="lineno"> 1420</span>  <span class="keyword">auto</span> flatBufferStackDescriptor = CreateStackDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>  stackDescriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a>,</div> |
| <div class="line"><a name="l01422"></a><span class="lineno"> 1422</span>  stackDescriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.html#aed6086070440ceb94129bef06f70173f">m_NumInputs</a>,</div> |
| <div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>  m_flatBufferBuilder.CreateVector(inputShape));</div> |
| <div class="line"><a name="l01424"></a><span class="lineno"> 1424</span>  </div> |
| <div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>  <span class="keyword">auto</span> stackLayer = serializer::CreateStackLayer(m_flatBufferBuilder, stackBaseLayer, flatBufferStackDescriptor);</div> |
| <div class="line"><a name="l01426"></a><span class="lineno"> 1426</span>  CreateAnyLayer(stackLayer.o, serializer::Layer::Layer_StackLayer);</div> |
| <div class="line"><a name="l01427"></a><span class="lineno"> 1427</span> }</div> |
| <div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>  </div> |
| <div class="line"><a name="l01429"></a><span class="lineno"> 1429</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeStandInLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a> *layer,</div> |
| <div class="line"><a name="l01430"></a><span class="lineno"> 1430</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stand_in_descriptor.html">armnn::StandInDescriptor</a>& standInDescriptor,</div> |
| <div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>  <span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div> |
| <div class="line"><a name="l01432"></a><span class="lineno"> 1432</span> {</div> |
| <div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>  </div> |
| <div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>  <span class="keyword">auto</span> fbDescriptor = serializer::CreateStandInDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>  standInDescriptor.<a class="code" href="structarmnn_1_1_stand_in_descriptor.html#aed6086070440ceb94129bef06f70173f">m_NumInputs</a>,</div> |
| <div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>  standInDescriptor.<a class="code" href="structarmnn_1_1_stand_in_descriptor.html#abb8a2d2bb8cc594c26aaa70c820ac5cc">m_NumOutputs</a>);</div> |
| <div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>  </div> |
| <div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_StandIn);</div> |
| <div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>  <span class="keyword">auto</span> fbLayer = serializer::CreateStandInLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor);</div> |
| <div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>  </div> |
| <div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>  CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_StandInLayer);</div> |
| <div class="line"><a name="l01443"></a><span class="lineno"> 1443</span> }</div> |
| <div class="line"><a name="l01444"></a><span class="lineno"> 1444</span>  </div> |
| <div class="line"><a name="l01445"></a><span class="lineno"> 1445</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeStridedSliceLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.html">armnn::StridedSliceDescriptor</a>& stridedSliceDescriptor,</div> |
| <div class="line"><a name="l01447"></a><span class="lineno"> 1447</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01448"></a><span class="lineno"> 1448</span> {</div> |
| <div class="line"><a name="l01449"></a><span class="lineno"> 1449</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01450"></a><span class="lineno"> 1450</span>  </div> |
| <div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_StridedSlice);</div> |
| <div class="line"><a name="l01452"></a><span class="lineno"> 1452</span>  </div> |
| <div class="line"><a name="l01453"></a><span class="lineno"> 1453</span>  <span class="keyword">auto</span> flatBufferDescriptor =</div> |
| <div class="line"><a name="l01454"></a><span class="lineno"> 1454</span>  CreateStridedSliceDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01455"></a><span class="lineno"> 1455</span>  m_flatBufferBuilder.CreateVector(stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a118fe06b7c2599da60398ee311ede923">m_Begin</a>),</div> |
| <div class="line"><a name="l01456"></a><span class="lineno"> 1456</span>  m_flatBufferBuilder.CreateVector(stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#aa68194dd6258ab5b04123005a066ea25">m_End</a>),</div> |
| <div class="line"><a name="l01457"></a><span class="lineno"> 1457</span>  m_flatBufferBuilder.CreateVector(stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a0d53caff836b84204adbd1c28752a201">m_Stride</a>),</div> |
| <div class="line"><a name="l01458"></a><span class="lineno"> 1458</span>  stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a61081be1483984e33db452c75d569f51">m_BeginMask</a>,</div> |
| <div class="line"><a name="l01459"></a><span class="lineno"> 1459</span>  stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#ac37e49c0d6e6e54f9d2015d0f11f8ee7">m_EndMask</a>,</div> |
| <div class="line"><a name="l01460"></a><span class="lineno"> 1460</span>  stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a6d0384878432cfc9652b7ae8bc59506f">m_ShrinkAxisMask</a>,</div> |
| <div class="line"><a name="l01461"></a><span class="lineno"> 1461</span>  stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#af996d82c47e43a16f4c8faa6c6b3e030">m_EllipsisMask</a>,</div> |
| <div class="line"><a name="l01462"></a><span class="lineno"> 1462</span>  stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a7c91eda2b331d607bae92cd8ebf50bb9">m_NewAxisMask</a>,</div> |
| <div class="line"><a name="l01463"></a><span class="lineno"> 1463</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div> |
| <div class="line"><a name="l01464"></a><span class="lineno"> 1464</span>  </div> |
| <div class="line"><a name="l01465"></a><span class="lineno"> 1465</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateStridedSliceLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01466"></a><span class="lineno"> 1466</span>  flatBufferBaseLayer,</div> |
| <div class="line"><a name="l01467"></a><span class="lineno"> 1467</span>  flatBufferDescriptor);</div> |
| <div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>  </div> |
| <div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_StridedSliceLayer);</div> |
| <div class="line"><a name="l01470"></a><span class="lineno"> 1470</span> }</div> |
| <div class="line"><a name="l01471"></a><span class="lineno"> 1471</span>  </div> |
| <div class="line"><a name="l01472"></a><span class="lineno"> 1472</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeSubtractionLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01473"></a><span class="lineno"> 1473</span> {</div> |
| <div class="line"><a name="l01474"></a><span class="lineno"> 1474</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01475"></a><span class="lineno"> 1475</span>  </div> |
| <div class="line"><a name="l01476"></a><span class="lineno"> 1476</span>  <span class="keyword">auto</span> fbSubtractionBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Subtraction);</div> |
| <div class="line"><a name="l01477"></a><span class="lineno"> 1477</span>  <span class="keyword">auto</span> fbSubtractionLayer = serializer::CreateSubtractionLayer(m_flatBufferBuilder, fbSubtractionBaseLayer);</div> |
| <div class="line"><a name="l01478"></a><span class="lineno"> 1478</span>  </div> |
| <div class="line"><a name="l01479"></a><span class="lineno"> 1479</span>  CreateAnyLayer(fbSubtractionLayer.o, serializer::Layer::Layer_SubtractionLayer);</div> |
| <div class="line"><a name="l01480"></a><span class="lineno"> 1480</span> }</div> |
| <div class="line"><a name="l01481"></a><span class="lineno"> 1481</span>  </div> |
| <div class="line"><a name="l01482"></a><span class="lineno"> 1482</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeSwitchLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01483"></a><span class="lineno"> 1483</span> {</div> |
| <div class="line"><a name="l01484"></a><span class="lineno"> 1484</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01485"></a><span class="lineno"> 1485</span>  </div> |
| <div class="line"><a name="l01486"></a><span class="lineno"> 1486</span>  <span class="keyword">auto</span> fbSwitchBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Switch);</div> |
| <div class="line"><a name="l01487"></a><span class="lineno"> 1487</span>  <span class="keyword">auto</span> fbSwitchLayer = serializer::CreateSwitchLayer(m_flatBufferBuilder, fbSwitchBaseLayer);</div> |
| <div class="line"><a name="l01488"></a><span class="lineno"> 1488</span>  </div> |
| <div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>  CreateAnyLayer(fbSwitchLayer.o, serializer::Layer::Layer_SwitchLayer);</div> |
| <div class="line"><a name="l01490"></a><span class="lineno"> 1490</span> }</div> |
| <div class="line"><a name="l01491"></a><span class="lineno"> 1491</span>  </div> |
| <div class="line"><a name="l01492"></a><span class="lineno"> 1492</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeTileLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01493"></a><span class="lineno"> 1493</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_tile_descriptor.html">armnn::TileDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l01494"></a><span class="lineno"> 1494</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01495"></a><span class="lineno"> 1495</span> {</div> |
| <div class="line"><a name="l01496"></a><span class="lineno"> 1496</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01497"></a><span class="lineno"> 1497</span>  </div> |
| <div class="line"><a name="l01498"></a><span class="lineno"> 1498</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l01499"></a><span class="lineno"> 1499</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Tile);</div> |
| <div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>  </div> |
| <div class="line"><a name="l01501"></a><span class="lineno"> 1501</span>  <span class="keyword">auto</span> flatBufferDesc = serializer::CreateTileDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01502"></a><span class="lineno"> 1502</span>  m_flatBufferBuilder.CreateVector(descriptor.<a class="code" href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">m_Multiples</a>));</div> |
| <div class="line"><a name="l01503"></a><span class="lineno"> 1503</span>  </div> |
| <div class="line"><a name="l01504"></a><span class="lineno"> 1504</span>  <span class="comment">// Create the FlatBuffer TileLayer</span></div> |
| <div class="line"><a name="l01505"></a><span class="lineno"> 1505</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateTileLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01506"></a><span class="lineno"> 1506</span>  flatBufferBaseLayer,</div> |
| <div class="line"><a name="l01507"></a><span class="lineno"> 1507</span>  flatBufferDesc);</div> |
| <div class="line"><a name="l01508"></a><span class="lineno"> 1508</span>  </div> |
| <div class="line"><a name="l01509"></a><span class="lineno"> 1509</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div> |
| <div class="line"><a name="l01510"></a><span class="lineno"> 1510</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_TileLayer);</div> |
| <div class="line"><a name="l01511"></a><span class="lineno"> 1511</span> }</div> |
| <div class="line"><a name="l01512"></a><span class="lineno"> 1512</span>  </div> |
| <div class="line"><a name="l01513"></a><span class="lineno"> 1513</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeTransposeConvolution2dLayer(</div> |
| <div class="line"><a name="l01514"></a><span class="lineno"> 1514</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01515"></a><span class="lineno"> 1515</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">armnn::TransposeConvolution2dDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l01516"></a><span class="lineno"> 1516</span>  <span class="keyword">const</span> std::vector<armnn::ConstTensor>& constants,</div> |
| <div class="line"><a name="l01517"></a><span class="lineno"> 1517</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01518"></a><span class="lineno"> 1518</span> {</div> |
| <div class="line"><a name="l01519"></a><span class="lineno"> 1519</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>  </div> |
| <div class="line"><a name="l01521"></a><span class="lineno"> 1521</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a>& weights = constants.at(0);</div> |
| <div class="line"><a name="l01522"></a><span class="lineno"> 1522</span>  </div> |
| <div class="line"><a name="l01523"></a><span class="lineno"> 1523</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Convolution2d);</div> |
| <div class="line"><a name="l01524"></a><span class="lineno"> 1524</span>  <span class="keyword">auto</span> fbDescriptor = CreateTransposeConvolution2dDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01525"></a><span class="lineno"> 1525</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>,</div> |
| <div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>,</div> |
| <div class="line"><a name="l01527"></a><span class="lineno"> 1527</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>,</div> |
| <div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>,</div> |
| <div class="line"><a name="l01529"></a><span class="lineno"> 1529</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>,</div> |
| <div class="line"><a name="l01530"></a><span class="lineno"> 1530</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>,</div> |
| <div class="line"><a name="l01531"></a><span class="lineno"> 1531</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>,</div> |
| <div class="line"><a name="l01532"></a><span class="lineno"> 1532</span>  <a class="code" href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div> |
| <div class="line"><a name="l01533"></a><span class="lineno"> 1533</span>  </div> |
| <div class="line"><a name="l01534"></a><span class="lineno"> 1534</span>  <span class="comment">// weights & biases</span></div> |
| <div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>  <span class="keyword">auto</span> fbWeightsConstTensorInfo = CreateConstTensorInfo(weights);</div> |
| <div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>  flatbuffers::Offset<serializer::ConstTensor> fbBiasesConstTensorInfo;</div> |
| <div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>  <span class="keywordflow">if</span> (constants.size() > 1)</div> |
| <div class="line"><a name="l01538"></a><span class="lineno"> 1538</span>  {</div> |
| <div class="line"><a name="l01539"></a><span class="lineno"> 1539</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a>& biases = constants.at(1);</div> |
| <div class="line"><a name="l01540"></a><span class="lineno"> 1540</span>  fbBiasesConstTensorInfo = CreateConstTensorInfo(biases);</div> |
| <div class="line"><a name="l01541"></a><span class="lineno"> 1541</span>  }</div> |
| <div class="line"><a name="l01542"></a><span class="lineno"> 1542</span>  </div> |
| <div class="line"><a name="l01543"></a><span class="lineno"> 1543</span>  <span class="keyword">auto</span> fbLayer = CreateTransposeConvolution2dLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01544"></a><span class="lineno"> 1544</span>  fbBaseLayer,</div> |
| <div class="line"><a name="l01545"></a><span class="lineno"> 1545</span>  fbDescriptor,</div> |
| <div class="line"><a name="l01546"></a><span class="lineno"> 1546</span>  fbWeightsConstTensorInfo,</div> |
| <div class="line"><a name="l01547"></a><span class="lineno"> 1547</span>  fbBiasesConstTensorInfo);</div> |
| <div class="line"><a name="l01548"></a><span class="lineno"> 1548</span>  </div> |
| <div class="line"><a name="l01549"></a><span class="lineno"> 1549</span>  CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_TransposeConvolution2dLayer);</div> |
| <div class="line"><a name="l01550"></a><span class="lineno"> 1550</span> }</div> |
| <div class="line"><a name="l01551"></a><span class="lineno"> 1551</span>  </div> |
| <div class="line"><a name="l01552"></a><span class="lineno"> 1552</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeTransposeLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01553"></a><span class="lineno"> 1553</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.html">armnn::TransposeDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l01554"></a><span class="lineno"> 1554</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01555"></a><span class="lineno"> 1555</span> {</div> |
| <div class="line"><a name="l01556"></a><span class="lineno"> 1556</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01557"></a><span class="lineno"> 1557</span>  </div> |
| <div class="line"><a name="l01558"></a><span class="lineno"> 1558</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div> |
| <div class="line"><a name="l01559"></a><span class="lineno"> 1559</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Transpose);</div> |
| <div class="line"><a name="l01560"></a><span class="lineno"> 1560</span>  </div> |
| <div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>  std::vector<unsigned int> dimMappings;</div> |
| <div class="line"><a name="l01562"></a><span class="lineno"> 1562</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i<descriptor.<a class="code" href="structarmnn_1_1_transpose_descriptor.html#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>.<a class="code" href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>(); ++i)</div> |
| <div class="line"><a name="l01563"></a><span class="lineno"> 1563</span>  {</div> |
| <div class="line"><a name="l01564"></a><span class="lineno"> 1564</span>  dimMappings.push_back(descriptor.<a class="code" href="structarmnn_1_1_transpose_descriptor.html#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>[i]);</div> |
| <div class="line"><a name="l01565"></a><span class="lineno"> 1565</span>  }</div> |
| <div class="line"><a name="l01566"></a><span class="lineno"> 1566</span>  </div> |
| <div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>  <span class="keyword">auto</span> flatBufferDesc = serializer::CreateTransposeDescriptor(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01568"></a><span class="lineno"> 1568</span>  m_flatBufferBuilder.CreateVector(dimMappings));</div> |
| <div class="line"><a name="l01569"></a><span class="lineno"> 1569</span>  </div> |
| <div class="line"><a name="l01570"></a><span class="lineno"> 1570</span>  <span class="comment">// Create the FlatBuffer TransposeLayer</span></div> |
| <div class="line"><a name="l01571"></a><span class="lineno"> 1571</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateTransposeLayer(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>  flatBufferBaseLayer,</div> |
| <div class="line"><a name="l01573"></a><span class="lineno"> 1573</span>  flatBufferDesc);</div> |
| <div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>  </div> |
| <div class="line"><a name="l01575"></a><span class="lineno"> 1575</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div> |
| <div class="line"><a name="l01576"></a><span class="lineno"> 1576</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_TransposeLayer);</div> |
| <div class="line"><a name="l01577"></a><span class="lineno"> 1577</span> }</div> |
| <div class="line"><a name="l01578"></a><span class="lineno"> 1578</span>  </div> |
| <div class="line"><a name="l01579"></a><span class="lineno"> 1579</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeQLstmLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01580"></a><span class="lineno"> 1580</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.html">armnn::QLstmDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l01581"></a><span class="lineno"> 1581</span>  <span class="keyword">const</span> std::vector<armnn::ConstTensor>& constants,</div> |
| <div class="line"><a name="l01582"></a><span class="lineno"> 1582</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01583"></a><span class="lineno"> 1583</span> {</div> |
| <div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>  </div> |
| <div class="line"><a name="l01586"></a><span class="lineno"> 1586</span>  <span class="keyword">auto</span> fbQLstmBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_QLstm);</div> |
| <div class="line"><a name="l01587"></a><span class="lineno"> 1587</span>  </div> |
| <div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>  <span class="keyword">auto</span> fbQLstmDescriptor = serializer::CreateQLstmDescriptor(</div> |
| <div class="line"><a name="l01589"></a><span class="lineno"> 1589</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01590"></a><span class="lineno"> 1590</span>  descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>,</div> |
| <div class="line"><a name="l01591"></a><span class="lineno"> 1591</span>  descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>,</div> |
| <div class="line"><a name="l01592"></a><span class="lineno"> 1592</span>  descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>,</div> |
| <div class="line"><a name="l01593"></a><span class="lineno"> 1593</span>  descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>,</div> |
| <div class="line"><a name="l01594"></a><span class="lineno"> 1594</span>  descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ac81fb0e66dc623dc37c77f219f53a6d3">m_CellClip</a>,</div> |
| <div class="line"><a name="l01595"></a><span class="lineno"> 1595</span>  descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#aa6a518b65088f34803b3214334bdff61">m_ProjectionClip</a>,</div> |
| <div class="line"><a name="l01596"></a><span class="lineno"> 1596</span>  descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a09e1f097944f61cc901240f9300364cf">m_InputIntermediateScale</a>,</div> |
| <div class="line"><a name="l01597"></a><span class="lineno"> 1597</span>  descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#afec7f36158448f723b426a9527acb189">m_ForgetIntermediateScale</a>,</div> |
| <div class="line"><a name="l01598"></a><span class="lineno"> 1598</span>  descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a0477ee1b44ace6090119178eea78cb0b">m_CellIntermediateScale</a>,</div> |
| <div class="line"><a name="l01599"></a><span class="lineno"> 1599</span>  descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#aa43409f9b457352c95c89f20ce5d844d">m_OutputIntermediateScale</a>,</div> |
| <div class="line"><a name="l01600"></a><span class="lineno"> 1600</span>  descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4556cbd764d4848d8ad0637a9eed580d">m_HiddenStateZeroPoint</a>,</div> |
| <div class="line"><a name="l01601"></a><span class="lineno"> 1601</span>  descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a></div> |
| <div class="line"><a name="l01602"></a><span class="lineno"> 1602</span>  );</div> |
| <div class="line"><a name="l01603"></a><span class="lineno"> 1603</span>  </div> |
| <div class="line"><a name="l01604"></a><span class="lineno"> 1604</span>  <span class="comment">// Index for constants vector</span></div> |
| <div class="line"><a name="l01605"></a><span class="lineno"> 1605</span>  std::size_t i = 0;</div> |
| <div class="line"><a name="l01606"></a><span class="lineno"> 1606</span>  </div> |
| <div class="line"><a name="l01607"></a><span class="lineno"> 1607</span>  <span class="comment">// Mandatory params</span></div> |
| <div class="line"><a name="l01608"></a><span class="lineno"> 1608</span>  <span class="keyword">auto</span> inputToForgetWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputToForgetWeights</span></div> |
| <div class="line"><a name="l01609"></a><span class="lineno"> 1609</span>  <span class="keyword">auto</span> inputToCellWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputToCellWeights</span></div> |
| <div class="line"><a name="l01610"></a><span class="lineno"> 1610</span>  <span class="keyword">auto</span> inputToOutputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputToOutputWeights</span></div> |
| <div class="line"><a name="l01611"></a><span class="lineno"> 1611</span>  <span class="keyword">auto</span> recurrentToForgetWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//RecurrentToForgetWeights</span></div> |
| <div class="line"><a name="l01612"></a><span class="lineno"> 1612</span>  <span class="keyword">auto</span> recurrentToCellWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//RecurrentToCellWeights</span></div> |
| <div class="line"><a name="l01613"></a><span class="lineno"> 1613</span>  <span class="keyword">auto</span> recurrentToOutputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//RecurrentToOutputWeights</span></div> |
| <div class="line"><a name="l01614"></a><span class="lineno"> 1614</span>  <span class="keyword">auto</span> forgetGateBias = CreateConstTensorInfo(constants[i++]); <span class="comment">//ForgetGateBias</span></div> |
| <div class="line"><a name="l01615"></a><span class="lineno"> 1615</span>  <span class="keyword">auto</span> cellBias = CreateConstTensorInfo(constants[i++]); <span class="comment">//CellBias</span></div> |
| <div class="line"><a name="l01616"></a><span class="lineno"> 1616</span>  <span class="keyword">auto</span> outputGateBias = CreateConstTensorInfo(constants[i++]); <span class="comment">//OutputGateBias</span></div> |
| <div class="line"><a name="l01617"></a><span class="lineno"> 1617</span>  </div> |
| <div class="line"><a name="l01618"></a><span class="lineno"> 1618</span>  <span class="comment">// CIFG</span></div> |
| <div class="line"><a name="l01619"></a><span class="lineno"> 1619</span>  flatbuffers::Offset<serializer::ConstTensor> inputToInputWeights;</div> |
| <div class="line"><a name="l01620"></a><span class="lineno"> 1620</span>  flatbuffers::Offset<serializer::ConstTensor> recurrentToInputWeights;</div> |
| <div class="line"><a name="l01621"></a><span class="lineno"> 1621</span>  flatbuffers::Offset<serializer::ConstTensor> inputGateBias;</div> |
| <div class="line"><a name="l01622"></a><span class="lineno"> 1622</span>  </div> |
| <div class="line"><a name="l01623"></a><span class="lineno"> 1623</span>  <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> |
| <div class="line"><a name="l01624"></a><span class="lineno"> 1624</span>  {</div> |
| <div class="line"><a name="l01625"></a><span class="lineno"> 1625</span>  inputToInputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputToInputWeights</span></div> |
| <div class="line"><a name="l01626"></a><span class="lineno"> 1626</span>  recurrentToInputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//RecurrentToInputWeights</span></div> |
| <div class="line"><a name="l01627"></a><span class="lineno"> 1627</span>  inputGateBias = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputGateBias</span></div> |
| <div class="line"><a name="l01628"></a><span class="lineno"> 1628</span>  }</div> |
| <div class="line"><a name="l01629"></a><span class="lineno"> 1629</span>  </div> |
| <div class="line"><a name="l01630"></a><span class="lineno"> 1630</span>  <span class="comment">// Peephole</span></div> |
| <div class="line"><a name="l01631"></a><span class="lineno"> 1631</span>  flatbuffers::Offset<serializer::ConstTensor> cellToInputWeights;</div> |
| <div class="line"><a name="l01632"></a><span class="lineno"> 1632</span>  flatbuffers::Offset<serializer::ConstTensor> cellToForgetWeights;</div> |
| <div class="line"><a name="l01633"></a><span class="lineno"> 1633</span>  flatbuffers::Offset<serializer::ConstTensor> cellToOutputWeights;</div> |
| <div class="line"><a name="l01634"></a><span class="lineno"> 1634</span>  </div> |
| <div class="line"><a name="l01635"></a><span class="lineno"> 1635</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div> |
| <div class="line"><a name="l01636"></a><span class="lineno"> 1636</span>  {</div> |
| <div class="line"><a name="l01637"></a><span class="lineno"> 1637</span>  <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> |
| <div class="line"><a name="l01638"></a><span class="lineno"> 1638</span>  {</div> |
| <div class="line"><a name="l01639"></a><span class="lineno"> 1639</span>  cellToInputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//CellToInputWeights</span></div> |
| <div class="line"><a name="l01640"></a><span class="lineno"> 1640</span>  }</div> |
| <div class="line"><a name="l01641"></a><span class="lineno"> 1641</span>  cellToForgetWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//CellToForgetWeights</span></div> |
| <div class="line"><a name="l01642"></a><span class="lineno"> 1642</span>  cellToOutputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//CellToOutputWeights</span></div> |
| <div class="line"><a name="l01643"></a><span class="lineno"> 1643</span>  }</div> |
| <div class="line"><a name="l01644"></a><span class="lineno"> 1644</span>  </div> |
| <div class="line"><a name="l01645"></a><span class="lineno"> 1645</span>  <span class="comment">// Projection</span></div> |
| <div class="line"><a name="l01646"></a><span class="lineno"> 1646</span>  flatbuffers::Offset<serializer::ConstTensor> projectionWeights;</div> |
| <div class="line"><a name="l01647"></a><span class="lineno"> 1647</span>  flatbuffers::Offset<serializer::ConstTensor> projectionBias;</div> |
| <div class="line"><a name="l01648"></a><span class="lineno"> 1648</span>  </div> |
| <div class="line"><a name="l01649"></a><span class="lineno"> 1649</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div> |
| <div class="line"><a name="l01650"></a><span class="lineno"> 1650</span>  {</div> |
| <div class="line"><a name="l01651"></a><span class="lineno"> 1651</span>  projectionWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//ProjectionWeights</span></div> |
| <div class="line"><a name="l01652"></a><span class="lineno"> 1652</span>  projectionBias = CreateConstTensorInfo(constants[i++]); <span class="comment">//ProjectionBias</span></div> |
| <div class="line"><a name="l01653"></a><span class="lineno"> 1653</span>  }</div> |
| <div class="line"><a name="l01654"></a><span class="lineno"> 1654</span>  </div> |
| <div class="line"><a name="l01655"></a><span class="lineno"> 1655</span>  <span class="comment">// Layer norm</span></div> |
| <div class="line"><a name="l01656"></a><span class="lineno"> 1656</span>  flatbuffers::Offset<serializer::ConstTensor> inputLayerNormWeights;</div> |
| <div class="line"><a name="l01657"></a><span class="lineno"> 1657</span>  flatbuffers::Offset<serializer::ConstTensor> forgetLayerNormWeights;</div> |
| <div class="line"><a name="l01658"></a><span class="lineno"> 1658</span>  flatbuffers::Offset<serializer::ConstTensor> cellLayerNormWeights;</div> |
| <div class="line"><a name="l01659"></a><span class="lineno"> 1659</span>  flatbuffers::Offset<serializer::ConstTensor> outputLayerNormWeights;</div> |
| <div class="line"><a name="l01660"></a><span class="lineno"> 1660</span>  </div> |
| <div class="line"><a name="l01661"></a><span class="lineno"> 1661</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div> |
| <div class="line"><a name="l01662"></a><span class="lineno"> 1662</span>  {</div> |
| <div class="line"><a name="l01663"></a><span class="lineno"> 1663</span>  <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> |
| <div class="line"><a name="l01664"></a><span class="lineno"> 1664</span>  {</div> |
| <div class="line"><a name="l01665"></a><span class="lineno"> 1665</span>  inputLayerNormWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputLayerNormWeights</span></div> |
| <div class="line"><a name="l01666"></a><span class="lineno"> 1666</span>  }</div> |
| <div class="line"><a name="l01667"></a><span class="lineno"> 1667</span>  forgetLayerNormWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//ForgetLayerNormWeights</span></div> |
| <div class="line"><a name="l01668"></a><span class="lineno"> 1668</span>  cellLayerNormWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//CellLayerNormWeights</span></div> |
| <div class="line"><a name="l01669"></a><span class="lineno"> 1669</span>  outputLayerNormWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//OutputLayerNormWeights</span></div> |
| <div class="line"><a name="l01670"></a><span class="lineno"> 1670</span>  }</div> |
| <div class="line"><a name="l01671"></a><span class="lineno"> 1671</span>  </div> |
| <div class="line"><a name="l01672"></a><span class="lineno"> 1672</span>  <span class="keyword">auto</span> fbQLstmParams = serializer::CreateQLstmInputParams(</div> |
| <div class="line"><a name="l01673"></a><span class="lineno"> 1673</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01674"></a><span class="lineno"> 1674</span>  inputToForgetWeights,</div> |
| <div class="line"><a name="l01675"></a><span class="lineno"> 1675</span>  inputToCellWeights,</div> |
| <div class="line"><a name="l01676"></a><span class="lineno"> 1676</span>  inputToOutputWeights,</div> |
| <div class="line"><a name="l01677"></a><span class="lineno"> 1677</span>  recurrentToForgetWeights,</div> |
| <div class="line"><a name="l01678"></a><span class="lineno"> 1678</span>  recurrentToCellWeights,</div> |
| <div class="line"><a name="l01679"></a><span class="lineno"> 1679</span>  recurrentToOutputWeights,</div> |
| <div class="line"><a name="l01680"></a><span class="lineno"> 1680</span>  forgetGateBias,</div> |
| <div class="line"><a name="l01681"></a><span class="lineno"> 1681</span>  cellBias,</div> |
| <div class="line"><a name="l01682"></a><span class="lineno"> 1682</span>  outputGateBias,</div> |
| <div class="line"><a name="l01683"></a><span class="lineno"> 1683</span>  inputToInputWeights,</div> |
| <div class="line"><a name="l01684"></a><span class="lineno"> 1684</span>  recurrentToInputWeights,</div> |
| <div class="line"><a name="l01685"></a><span class="lineno"> 1685</span>  inputGateBias,</div> |
| <div class="line"><a name="l01686"></a><span class="lineno"> 1686</span>  projectionWeights,</div> |
| <div class="line"><a name="l01687"></a><span class="lineno"> 1687</span>  projectionBias,</div> |
| <div class="line"><a name="l01688"></a><span class="lineno"> 1688</span>  cellToInputWeights,</div> |
| <div class="line"><a name="l01689"></a><span class="lineno"> 1689</span>  cellToForgetWeights,</div> |
| <div class="line"><a name="l01690"></a><span class="lineno"> 1690</span>  cellToOutputWeights,</div> |
| <div class="line"><a name="l01691"></a><span class="lineno"> 1691</span>  inputLayerNormWeights,</div> |
| <div class="line"><a name="l01692"></a><span class="lineno"> 1692</span>  forgetLayerNormWeights,</div> |
| <div class="line"><a name="l01693"></a><span class="lineno"> 1693</span>  cellLayerNormWeights,</div> |
| <div class="line"><a name="l01694"></a><span class="lineno"> 1694</span>  outputLayerNormWeights);</div> |
| <div class="line"><a name="l01695"></a><span class="lineno"> 1695</span>  </div> |
| <div class="line"><a name="l01696"></a><span class="lineno"> 1696</span>  <span class="keyword">auto</span> fbQLstmLayer = serializer::CreateQLstmLayer(</div> |
| <div class="line"><a name="l01697"></a><span class="lineno"> 1697</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01698"></a><span class="lineno"> 1698</span>  fbQLstmBaseLayer,</div> |
| <div class="line"><a name="l01699"></a><span class="lineno"> 1699</span>  fbQLstmDescriptor,</div> |
| <div class="line"><a name="l01700"></a><span class="lineno"> 1700</span>  fbQLstmParams);</div> |
| <div class="line"><a name="l01701"></a><span class="lineno"> 1701</span>  </div> |
| <div class="line"><a name="l01702"></a><span class="lineno"> 1702</span>  CreateAnyLayer(fbQLstmLayer.o, serializer::Layer::Layer_QLstmLayer);</div> |
| <div class="line"><a name="l01703"></a><span class="lineno"> 1703</span> }</div> |
| <div class="line"><a name="l01704"></a><span class="lineno"> 1704</span>  </div> |
| <div class="line"><a name="l01705"></a><span class="lineno"> 1705</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeQuantizedLstmLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01706"></a><span class="lineno"> 1706</span>  <span class="keyword">const</span> std::vector<armnn::ConstTensor>& constants,</div> |
| <div class="line"><a name="l01707"></a><span class="lineno"> 1707</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01708"></a><span class="lineno"> 1708</span> {</div> |
| <div class="line"><a name="l01709"></a><span class="lineno"> 1709</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01710"></a><span class="lineno"> 1710</span>  </div> |
| <div class="line"><a name="l01711"></a><span class="lineno"> 1711</span>  <span class="keyword">auto</span> fbQuantizedLstmBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_QuantizedLstm);</div> |
| <div class="line"><a name="l01712"></a><span class="lineno"> 1712</span>  </div> |
| <div class="line"><a name="l01713"></a><span class="lineno"> 1713</span>  <span class="comment">// index for constants vector</span></div> |
| <div class="line"><a name="l01714"></a><span class="lineno"> 1714</span>  <span class="keywordtype">size_t</span> i = 0;</div> |
| <div class="line"><a name="l01715"></a><span class="lineno"> 1715</span>  </div> |
| <div class="line"><a name="l01716"></a><span class="lineno"> 1716</span>  <span class="comment">// Get input parameters</span></div> |
| <div class="line"><a name="l01717"></a><span class="lineno"> 1717</span>  <span class="keyword">auto</span> inputToInputWeights = CreateConstTensorInfo(constants[i++]);</div> |
| <div class="line"><a name="l01718"></a><span class="lineno"> 1718</span>  <span class="keyword">auto</span> inputToForgetWeights = CreateConstTensorInfo(constants[i++]);</div> |
| <div class="line"><a name="l01719"></a><span class="lineno"> 1719</span>  <span class="keyword">auto</span> inputToCellWeights = CreateConstTensorInfo(constants[i++]);</div> |
| <div class="line"><a name="l01720"></a><span class="lineno"> 1720</span>  <span class="keyword">auto</span> inputToOutputWeights = CreateConstTensorInfo(constants[i++]);</div> |
| <div class="line"><a name="l01721"></a><span class="lineno"> 1721</span>  </div> |
| <div class="line"><a name="l01722"></a><span class="lineno"> 1722</span>  <span class="keyword">auto</span> recurrentToInputWeights = CreateConstTensorInfo(constants[i++]);</div> |
| <div class="line"><a name="l01723"></a><span class="lineno"> 1723</span>  <span class="keyword">auto</span> recurrentToForgetWeights = CreateConstTensorInfo(constants[i++]);</div> |
| <div class="line"><a name="l01724"></a><span class="lineno"> 1724</span>  <span class="keyword">auto</span> recurrentToCellWeights = CreateConstTensorInfo(constants[i++]);</div> |
| <div class="line"><a name="l01725"></a><span class="lineno"> 1725</span>  <span class="keyword">auto</span> recurrentToOutputWeights = CreateConstTensorInfo(constants[i++]);</div> |
| <div class="line"><a name="l01726"></a><span class="lineno"> 1726</span>  </div> |
| <div class="line"><a name="l01727"></a><span class="lineno"> 1727</span>  <span class="keyword">auto</span> inputGateBias = CreateConstTensorInfo(constants[i++]);</div> |
| <div class="line"><a name="l01728"></a><span class="lineno"> 1728</span>  <span class="keyword">auto</span> forgetGateBias = CreateConstTensorInfo(constants[i++]);</div> |
| <div class="line"><a name="l01729"></a><span class="lineno"> 1729</span>  <span class="keyword">auto</span> cellBias = CreateConstTensorInfo(constants[i++]);</div> |
| <div class="line"><a name="l01730"></a><span class="lineno"> 1730</span>  <span class="keyword">auto</span> outputGateBias = CreateConstTensorInfo(constants[i++]);</div> |
| <div class="line"><a name="l01731"></a><span class="lineno"> 1731</span>  </div> |
| <div class="line"><a name="l01732"></a><span class="lineno"> 1732</span>  <span class="keyword">auto</span> fbQuantizedLstmParams = serializer::CreateQuantizedLstmInputParams(</div> |
| <div class="line"><a name="l01733"></a><span class="lineno"> 1733</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01734"></a><span class="lineno"> 1734</span>  inputToInputWeights,</div> |
| <div class="line"><a name="l01735"></a><span class="lineno"> 1735</span>  inputToForgetWeights,</div> |
| <div class="line"><a name="l01736"></a><span class="lineno"> 1736</span>  inputToCellWeights,</div> |
| <div class="line"><a name="l01737"></a><span class="lineno"> 1737</span>  inputToOutputWeights,</div> |
| <div class="line"><a name="l01738"></a><span class="lineno"> 1738</span>  recurrentToInputWeights,</div> |
| <div class="line"><a name="l01739"></a><span class="lineno"> 1739</span>  recurrentToForgetWeights,</div> |
| <div class="line"><a name="l01740"></a><span class="lineno"> 1740</span>  recurrentToCellWeights,</div> |
| <div class="line"><a name="l01741"></a><span class="lineno"> 1741</span>  recurrentToOutputWeights,</div> |
| <div class="line"><a name="l01742"></a><span class="lineno"> 1742</span>  inputGateBias,</div> |
| <div class="line"><a name="l01743"></a><span class="lineno"> 1743</span>  forgetGateBias,</div> |
| <div class="line"><a name="l01744"></a><span class="lineno"> 1744</span>  cellBias,</div> |
| <div class="line"><a name="l01745"></a><span class="lineno"> 1745</span>  outputGateBias);</div> |
| <div class="line"><a name="l01746"></a><span class="lineno"> 1746</span>  </div> |
| <div class="line"><a name="l01747"></a><span class="lineno"> 1747</span>  <span class="keyword">auto</span> fbQuantizedLstmLayer = serializer::CreateQuantizedLstmLayer(</div> |
| <div class="line"><a name="l01748"></a><span class="lineno"> 1748</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01749"></a><span class="lineno"> 1749</span>  fbQuantizedLstmBaseLayer,</div> |
| <div class="line"><a name="l01750"></a><span class="lineno"> 1750</span>  fbQuantizedLstmParams);</div> |
| <div class="line"><a name="l01751"></a><span class="lineno"> 1751</span>  </div> |
| <div class="line"><a name="l01752"></a><span class="lineno"> 1752</span>  CreateAnyLayer(fbQuantizedLstmLayer.o, serializer::Layer::Layer_QuantizedLstmLayer);</div> |
| <div class="line"><a name="l01753"></a><span class="lineno"> 1753</span> }</div> |
| <div class="line"><a name="l01754"></a><span class="lineno"> 1754</span>  </div> |
| <div class="line"><a name="l01755"></a><span class="lineno"> 1755</span> <span class="keywordtype">void</span> SerializerStrategy::SerializeUnidirectionalSequenceLstmLayer(</div> |
| <div class="line"><a name="l01756"></a><span class="lineno"> 1756</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01757"></a><span class="lineno"> 1757</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">armnn::UnidirectionalSequenceLstmDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l01758"></a><span class="lineno"> 1758</span>  <span class="keyword">const</span> std::vector<armnn::ConstTensor>& constants,</div> |
| <div class="line"><a name="l01759"></a><span class="lineno"> 1759</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l01760"></a><span class="lineno"> 1760</span> {</div> |
| <div class="line"><a name="l01761"></a><span class="lineno"> 1761</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div> |
| <div class="line"><a name="l01762"></a><span class="lineno"> 1762</span>  </div> |
| <div class="line"><a name="l01763"></a><span class="lineno"> 1763</span>  <span class="keyword">auto</span> fbUnidirectionalSequenceLstmBaseLayer =</div> |
| <div class="line"><a name="l01764"></a><span class="lineno"> 1764</span>  CreateLayerBase(layer, serializer::LayerType::LayerType_UnidirectionalSequenceLstm);</div> |
| <div class="line"><a name="l01765"></a><span class="lineno"> 1765</span>  </div> |
| <div class="line"><a name="l01766"></a><span class="lineno"> 1766</span>  <span class="keyword">auto</span> fbUnidirectionalSequenceLstmDescriptor = serializer::CreateUnidirectionalSequenceLstmDescriptor(</div> |
| <div class="line"><a name="l01767"></a><span class="lineno"> 1767</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01768"></a><span class="lineno"> 1768</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ae1b07ed928036004bd257169e5aeeef4">m_ActivationFunc</a>,</div> |
| <div class="line"><a name="l01769"></a><span class="lineno"> 1769</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a531a3907ec13d3772370da88030191a5">m_ClippingThresCell</a>,</div> |
| <div class="line"><a name="l01770"></a><span class="lineno"> 1770</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a86e88bef0df4df96df752b4b8955a3af">m_ClippingThresProj</a>,</div> |
| <div class="line"><a name="l01771"></a><span class="lineno"> 1771</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>,</div> |
| <div class="line"><a name="l01772"></a><span class="lineno"> 1772</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>,</div> |
| <div class="line"><a name="l01773"></a><span class="lineno"> 1773</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>,</div> |
| <div class="line"><a name="l01774"></a><span class="lineno"> 1774</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>,</div> |
| <div class="line"><a name="l01775"></a><span class="lineno"> 1775</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a3dcd10ca3ea2e132558b1e2814668c15">m_TimeMajor</a>);</div> |
| <div class="line"><a name="l01776"></a><span class="lineno"> 1776</span>  </div> |
| <div class="line"><a name="l01777"></a><span class="lineno"> 1777</span>  <span class="comment">// Index for constants vector</span></div> |
| <div class="line"><a name="l01778"></a><span class="lineno"> 1778</span>  std::size_t i = 0;</div> |
| <div class="line"><a name="l01779"></a><span class="lineno"> 1779</span>  </div> |
| <div class="line"><a name="l01780"></a><span class="lineno"> 1780</span>  <span class="comment">// Get mandatory/basic input parameters</span></div> |
| <div class="line"><a name="l01781"></a><span class="lineno"> 1781</span>  <span class="keyword">auto</span> inputToForgetWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputToForgetWeights</span></div> |
| <div class="line"><a name="l01782"></a><span class="lineno"> 1782</span>  <span class="keyword">auto</span> inputToCellWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputToCellWeights</span></div> |
| <div class="line"><a name="l01783"></a><span class="lineno"> 1783</span>  <span class="keyword">auto</span> inputToOutputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputToOutputWeights</span></div> |
| <div class="line"><a name="l01784"></a><span class="lineno"> 1784</span>  <span class="keyword">auto</span> recurrentToForgetWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//RecurrentToForgetWeights</span></div> |
| <div class="line"><a name="l01785"></a><span class="lineno"> 1785</span>  <span class="keyword">auto</span> recurrentToCellWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//RecurrentToCellWeights</span></div> |
| <div class="line"><a name="l01786"></a><span class="lineno"> 1786</span>  <span class="keyword">auto</span> recurrentToOutputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//RecurrentToOutputWeights</span></div> |
| <div class="line"><a name="l01787"></a><span class="lineno"> 1787</span>  <span class="keyword">auto</span> forgetGateBias = CreateConstTensorInfo(constants[i++]); <span class="comment">//ForgetGateBias</span></div> |
| <div class="line"><a name="l01788"></a><span class="lineno"> 1788</span>  <span class="keyword">auto</span> cellBias = CreateConstTensorInfo(constants[i++]); <span class="comment">//CellBias</span></div> |
| <div class="line"><a name="l01789"></a><span class="lineno"> 1789</span>  <span class="keyword">auto</span> outputGateBias = CreateConstTensorInfo(constants[i++]); <span class="comment">//OutputGateBias</span></div> |
| <div class="line"><a name="l01790"></a><span class="lineno"> 1790</span>  </div> |
| <div class="line"><a name="l01791"></a><span class="lineno"> 1791</span>  <span class="comment">//Define optional parameters, these will be set depending on configuration in Lstm descriptor</span></div> |
| <div class="line"><a name="l01792"></a><span class="lineno"> 1792</span>  flatbuffers::Offset<serializer::ConstTensor> inputToInputWeights;</div> |
| <div class="line"><a name="l01793"></a><span class="lineno"> 1793</span>  flatbuffers::Offset<serializer::ConstTensor> recurrentToInputWeights;</div> |
| <div class="line"><a name="l01794"></a><span class="lineno"> 1794</span>  flatbuffers::Offset<serializer::ConstTensor> cellToInputWeights;</div> |
| <div class="line"><a name="l01795"></a><span class="lineno"> 1795</span>  flatbuffers::Offset<serializer::ConstTensor> inputGateBias;</div> |
| <div class="line"><a name="l01796"></a><span class="lineno"> 1796</span>  flatbuffers::Offset<serializer::ConstTensor> projectionWeights;</div> |
| <div class="line"><a name="l01797"></a><span class="lineno"> 1797</span>  flatbuffers::Offset<serializer::ConstTensor> projectionBias;</div> |
| <div class="line"><a name="l01798"></a><span class="lineno"> 1798</span>  flatbuffers::Offset<serializer::ConstTensor> cellToForgetWeights;</div> |
| <div class="line"><a name="l01799"></a><span class="lineno"> 1799</span>  flatbuffers::Offset<serializer::ConstTensor> cellToOutputWeights;</div> |
| <div class="line"><a name="l01800"></a><span class="lineno"> 1800</span>  flatbuffers::Offset<serializer::ConstTensor> inputLayerNormWeights;</div> |
| <div class="line"><a name="l01801"></a><span class="lineno"> 1801</span>  flatbuffers::Offset<serializer::ConstTensor> forgetLayerNormWeights;</div> |
| <div class="line"><a name="l01802"></a><span class="lineno"> 1802</span>  flatbuffers::Offset<serializer::ConstTensor> cellLayerNormWeights;</div> |
| <div class="line"><a name="l01803"></a><span class="lineno"> 1803</span>  flatbuffers::Offset<serializer::ConstTensor> outputLayerNormWeights;</div> |
| <div class="line"><a name="l01804"></a><span class="lineno"> 1804</span>  </div> |
| <div class="line"><a name="l01805"></a><span class="lineno"> 1805</span>  <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> |
| <div class="line"><a name="l01806"></a><span class="lineno"> 1806</span>  {</div> |
| <div class="line"><a name="l01807"></a><span class="lineno"> 1807</span>  inputToInputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputToInputWeights</span></div> |
| <div class="line"><a name="l01808"></a><span class="lineno"> 1808</span>  recurrentToInputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//RecurrentToInputWeights</span></div> |
| <div class="line"><a name="l01809"></a><span class="lineno"> 1809</span>  inputGateBias = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputGateBias</span></div> |
| <div class="line"><a name="l01810"></a><span class="lineno"> 1810</span>  }</div> |
| <div class="line"><a name="l01811"></a><span class="lineno"> 1811</span>  </div> |
| <div class="line"><a name="l01812"></a><span class="lineno"> 1812</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div> |
| <div class="line"><a name="l01813"></a><span class="lineno"> 1813</span>  {</div> |
| <div class="line"><a name="l01814"></a><span class="lineno"> 1814</span>  <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> |
| <div class="line"><a name="l01815"></a><span class="lineno"> 1815</span>  {</div> |
| <div class="line"><a name="l01816"></a><span class="lineno"> 1816</span>  cellToInputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//CellToInputWeights</span></div> |
| <div class="line"><a name="l01817"></a><span class="lineno"> 1817</span>  }</div> |
| <div class="line"><a name="l01818"></a><span class="lineno"> 1818</span>  cellToForgetWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//CellToForgetWeights</span></div> |
| <div class="line"><a name="l01819"></a><span class="lineno"> 1819</span>  cellToOutputWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//CellToOutputWeights</span></div> |
| <div class="line"><a name="l01820"></a><span class="lineno"> 1820</span>  }</div> |
| <div class="line"><a name="l01821"></a><span class="lineno"> 1821</span>  </div> |
| <div class="line"><a name="l01822"></a><span class="lineno"> 1822</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div> |
| <div class="line"><a name="l01823"></a><span class="lineno"> 1823</span>  {</div> |
| <div class="line"><a name="l01824"></a><span class="lineno"> 1824</span>  projectionWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//ProjectionWeights</span></div> |
| <div class="line"><a name="l01825"></a><span class="lineno"> 1825</span>  projectionBias = CreateConstTensorInfo(constants[i++]); <span class="comment">//ProjectionBias</span></div> |
| <div class="line"><a name="l01826"></a><span class="lineno"> 1826</span>  }</div> |
| <div class="line"><a name="l01827"></a><span class="lineno"> 1827</span>  </div> |
| <div class="line"><a name="l01828"></a><span class="lineno"> 1828</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div> |
| <div class="line"><a name="l01829"></a><span class="lineno"> 1829</span>  {</div> |
| <div class="line"><a name="l01830"></a><span class="lineno"> 1830</span>  <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> |
| <div class="line"><a name="l01831"></a><span class="lineno"> 1831</span>  {</div> |
| <div class="line"><a name="l01832"></a><span class="lineno"> 1832</span>  inputLayerNormWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//InputLayerNormWeights</span></div> |
| <div class="line"><a name="l01833"></a><span class="lineno"> 1833</span>  }</div> |
| <div class="line"><a name="l01834"></a><span class="lineno"> 1834</span>  forgetLayerNormWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//ForgetLayerNormWeights</span></div> |
| <div class="line"><a name="l01835"></a><span class="lineno"> 1835</span>  cellLayerNormWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//CellLayerNormWeights</span></div> |
| <div class="line"><a name="l01836"></a><span class="lineno"> 1836</span>  outputLayerNormWeights = CreateConstTensorInfo(constants[i++]); <span class="comment">//OutputLayerNormWeights</span></div> |
| <div class="line"><a name="l01837"></a><span class="lineno"> 1837</span>  }</div> |
| <div class="line"><a name="l01838"></a><span class="lineno"> 1838</span>  </div> |
| <div class="line"><a name="l01839"></a><span class="lineno"> 1839</span>  <span class="keyword">auto</span> fbUnidirectionalSequenceLstmParams = serializer::CreateLstmInputParams(</div> |
| <div class="line"><a name="l01840"></a><span class="lineno"> 1840</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01841"></a><span class="lineno"> 1841</span>  inputToForgetWeights,</div> |
| <div class="line"><a name="l01842"></a><span class="lineno"> 1842</span>  inputToCellWeights,</div> |
| <div class="line"><a name="l01843"></a><span class="lineno"> 1843</span>  inputToOutputWeights,</div> |
| <div class="line"><a name="l01844"></a><span class="lineno"> 1844</span>  recurrentToForgetWeights,</div> |
| <div class="line"><a name="l01845"></a><span class="lineno"> 1845</span>  recurrentToCellWeights,</div> |
| <div class="line"><a name="l01846"></a><span class="lineno"> 1846</span>  recurrentToOutputWeights,</div> |
| <div class="line"><a name="l01847"></a><span class="lineno"> 1847</span>  forgetGateBias,</div> |
| <div class="line"><a name="l01848"></a><span class="lineno"> 1848</span>  cellBias,</div> |
| <div class="line"><a name="l01849"></a><span class="lineno"> 1849</span>  outputGateBias,</div> |
| <div class="line"><a name="l01850"></a><span class="lineno"> 1850</span>  inputToInputWeights,</div> |
| <div class="line"><a name="l01851"></a><span class="lineno"> 1851</span>  recurrentToInputWeights,</div> |
| <div class="line"><a name="l01852"></a><span class="lineno"> 1852</span>  cellToInputWeights,</div> |
| <div class="line"><a name="l01853"></a><span class="lineno"> 1853</span>  inputGateBias,</div> |
| <div class="line"><a name="l01854"></a><span class="lineno"> 1854</span>  projectionWeights,</div> |
| <div class="line"><a name="l01855"></a><span class="lineno"> 1855</span>  projectionBias,</div> |
| <div class="line"><a name="l01856"></a><span class="lineno"> 1856</span>  cellToForgetWeights,</div> |
| <div class="line"><a name="l01857"></a><span class="lineno"> 1857</span>  cellToOutputWeights,</div> |
| <div class="line"><a name="l01858"></a><span class="lineno"> 1858</span>  inputLayerNormWeights,</div> |
| <div class="line"><a name="l01859"></a><span class="lineno"> 1859</span>  forgetLayerNormWeights,</div> |
| <div class="line"><a name="l01860"></a><span class="lineno"> 1860</span>  cellLayerNormWeights,</div> |
| <div class="line"><a name="l01861"></a><span class="lineno"> 1861</span>  outputLayerNormWeights);</div> |
| <div class="line"><a name="l01862"></a><span class="lineno"> 1862</span>  </div> |
| <div class="line"><a name="l01863"></a><span class="lineno"> 1863</span>  <span class="keyword">auto</span> fbUnidirectionalSequenceLstmLayer = serializer::CreateUnidirectionalSequenceLstmLayer(</div> |
| <div class="line"><a name="l01864"></a><span class="lineno"> 1864</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01865"></a><span class="lineno"> 1865</span>  fbUnidirectionalSequenceLstmBaseLayer,</div> |
| <div class="line"><a name="l01866"></a><span class="lineno"> 1866</span>  fbUnidirectionalSequenceLstmDescriptor,</div> |
| <div class="line"><a name="l01867"></a><span class="lineno"> 1867</span>  fbUnidirectionalSequenceLstmParams);</div> |
| <div class="line"><a name="l01868"></a><span class="lineno"> 1868</span>  </div> |
| <div class="line"><a name="l01869"></a><span class="lineno"> 1869</span>  CreateAnyLayer(fbUnidirectionalSequenceLstmLayer.o, serializer::Layer::Layer_UnidirectionalSequenceLstmLayer);</div> |
| <div class="line"><a name="l01870"></a><span class="lineno"> 1870</span> }</div> |
| <div class="line"><a name="l01871"></a><span class="lineno"> 1871</span>  </div> |
| <div class="line"><a name="l01872"></a><span class="lineno"> 1872</span> fb::Offset<serializer::LayerBase> SerializerStrategy::CreateLayerBase(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l01873"></a><span class="lineno"> 1873</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">serializer::LayerType</a> layerType)</div> |
| <div class="line"><a name="l01874"></a><span class="lineno"> 1874</span> {</div> |
| <div class="line"><a name="l01875"></a><span class="lineno"> 1875</span>  </div> |
| <div class="line"><a name="l01876"></a><span class="lineno"> 1876</span>  uint32_t fbIndex = GetSerializedId(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.html#afb5e65c770f6cee222db8af7581541a6">GetGuid</a>());</div> |
| <div class="line"><a name="l01877"></a><span class="lineno"> 1877</span>  </div> |
| <div class="line"><a name="l01878"></a><span class="lineno"> 1878</span>  std::vector<fb::Offset<serializer::InputSlot>> inputSlots = CreateInputSlots(layer);</div> |
| <div class="line"><a name="l01879"></a><span class="lineno"> 1879</span>  std::vector<fb::Offset<serializer::OutputSlot>> outputSlots = CreateOutputSlots(layer);</div> |
| <div class="line"><a name="l01880"></a><span class="lineno"> 1880</span>  </div> |
| <div class="line"><a name="l01881"></a><span class="lineno"> 1881</span>  <span class="keywordflow">return</span> serializer::CreateLayerBase(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01882"></a><span class="lineno"> 1882</span>  fbIndex,</div> |
| <div class="line"><a name="l01883"></a><span class="lineno"> 1883</span>  m_flatBufferBuilder.CreateString(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.html#afcc1c3a20bd2860e0ddd21674389246f">GetName</a>()),</div> |
| <div class="line"><a name="l01884"></a><span class="lineno"> 1884</span>  layerType,</div> |
| <div class="line"><a name="l01885"></a><span class="lineno"> 1885</span>  m_flatBufferBuilder.CreateVector(inputSlots),</div> |
| <div class="line"><a name="l01886"></a><span class="lineno"> 1886</span>  m_flatBufferBuilder.CreateVector(outputSlots));</div> |
| <div class="line"><a name="l01887"></a><span class="lineno"> 1887</span> }</div> |
| <div class="line"><a name="l01888"></a><span class="lineno"> 1888</span>  </div> |
| <div class="line"><a name="l01889"></a><span class="lineno"> 1889</span> <span class="keywordtype">void</span> SerializerStrategy::CreateAnyLayer(<span class="keyword">const</span> flatbuffers::Offset<void>& layer, <span class="keyword">const</span> serializer::Layer serializerLayer)</div> |
| <div class="line"><a name="l01890"></a><span class="lineno"> 1890</span> {</div> |
| <div class="line"><a name="l01891"></a><span class="lineno"> 1891</span>  </div> |
| <div class="line"><a name="l01892"></a><span class="lineno"> 1892</span>  <span class="keyword">auto</span> anyLayer = armnnSerializer::CreateAnyLayer(m_flatBufferBuilder, serializerLayer, layer);</div> |
| <div class="line"><a name="l01893"></a><span class="lineno"> 1893</span>  m_serializedLayers.push_back(anyLayer);</div> |
| <div class="line"><a name="l01894"></a><span class="lineno"> 1894</span> }</div> |
| <div class="line"><a name="l01895"></a><span class="lineno"> 1895</span>  </div> |
| <div class="line"><a name="l01896"></a><span class="lineno"> 1896</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l01897"></a><span class="lineno"> 1897</span> flatbuffers::Offset<flatbuffers::Vector<T>> SerializerStrategy::CreateDataVector(<span class="keyword">const</span> <span class="keywordtype">void</span>* memory, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> size)</div> |
| <div class="line"><a name="l01898"></a><span class="lineno"> 1898</span> {</div> |
| <div class="line"><a name="l01899"></a><span class="lineno"> 1899</span>  <span class="keyword">const</span> T* buffer = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>T*<span class="keyword">></span>(memory);</div> |
| <div class="line"><a name="l01900"></a><span class="lineno"> 1900</span>  std::vector<T> vector(buffer, buffer + (size / <span class="keyword">sizeof</span>(T)));</div> |
| <div class="line"><a name="l01901"></a><span class="lineno"> 1901</span>  <span class="keyword">auto</span> fbVector = m_flatBufferBuilder.CreateVector(vector);</div> |
| <div class="line"><a name="l01902"></a><span class="lineno"> 1902</span>  <span class="keywordflow">return</span> fbVector;</div> |
| <div class="line"><a name="l01903"></a><span class="lineno"> 1903</span> }</div> |
| <div class="line"><a name="l01904"></a><span class="lineno"> 1904</span>  </div> |
| <div class="line"><a name="l01905"></a><span class="lineno"> 1905</span> flatbuffers::Offset<TensorInfo> SerializerStrategy::CreateTensorInfo(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& tensorInfo)</div> |
| <div class="line"><a name="l01906"></a><span class="lineno"> 1906</span> {</div> |
| <div class="line"><a name="l01907"></a><span class="lineno"> 1907</span>  <span class="comment">// Get the dimensions</span></div> |
| <div class="line"><a name="l01908"></a><span class="lineno"> 1908</span>  std::vector<unsigned int> shape;</div> |
| <div class="line"><a name="l01909"></a><span class="lineno"> 1909</span>  std::vector<bool> specificity;</div> |
| <div class="line"><a name="l01910"></a><span class="lineno"> 1910</span>  <span class="comment">// This assumes that the TensorShape constructors have ensured that the size of m_DimensionsSpecificity</span></div> |
| <div class="line"><a name="l01911"></a><span class="lineno"> 1911</span>  <span class="comment">// matches the size of dimensions.</span></div> |
| <div class="line"><a name="l01912"></a><span class="lineno"> 1912</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dim = 0; dim < tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>().GetNumDimensions(); ++dim)</div> |
| <div class="line"><a name="l01913"></a><span class="lineno"> 1913</span>  {</div> |
| <div class="line"><a name="l01914"></a><span class="lineno"> 1914</span>  specificity.push_back(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.html#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(dim));</div> |
| <div class="line"><a name="l01915"></a><span class="lineno"> 1915</span>  </div> |
| <div class="line"><a name="l01916"></a><span class="lineno"> 1916</span>  <span class="keywordflow">if</span> (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.html#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(dim))</div> |
| <div class="line"><a name="l01917"></a><span class="lineno"> 1917</span>  {</div> |
| <div class="line"><a name="l01918"></a><span class="lineno"> 1918</span>  shape.push_back(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[dim]);</div> |
| <div class="line"><a name="l01919"></a><span class="lineno"> 1919</span>  }</div> |
| <div class="line"><a name="l01920"></a><span class="lineno"> 1920</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>  {</div> |
| <div class="line"><a name="l01922"></a><span class="lineno"> 1922</span>  shape.push_back(0);</div> |
| <div class="line"><a name="l01923"></a><span class="lineno"> 1923</span>  }</div> |
| <div class="line"><a name="l01924"></a><span class="lineno"> 1924</span>  }</div> |
| <div class="line"><a name="l01925"></a><span class="lineno"> 1925</span>  </div> |
| <div class="line"><a name="l01926"></a><span class="lineno"> 1926</span>  <span class="keywordflow">if</span> (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">HasPerAxisQuantization</a>())</div> |
| <div class="line"><a name="l01927"></a><span class="lineno"> 1927</span>  {</div> |
| <div class="line"><a name="l01928"></a><span class="lineno"> 1928</span>  <span class="comment">// Create FlatBuffer TensorInfo</span></div> |
| <div class="line"><a name="l01929"></a><span class="lineno"> 1929</span>  <span class="keyword">auto</span> flatBufferTensorInfo =</div> |
| <div class="line"><a name="l01930"></a><span class="lineno"> 1930</span>  serializer::CreateTensorInfo(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01931"></a><span class="lineno"> 1931</span>  m_flatBufferBuilder.CreateVector(shape),</div> |
| <div class="line"><a name="l01932"></a><span class="lineno"> 1932</span>  <a class="code" href="namespacearmnn_serializer.html#a27876085f01a54e1995bc0b3ea96ce41">GetFlatBufferDataType</a>(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>()),</div> |
| <div class="line"><a name="l01933"></a><span class="lineno"> 1933</span>  tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8bc11f1fa23ef42532f9fdd04d355270">GetQuantizationScales</a>()[0],</div> |
| <div class="line"><a name="l01934"></a><span class="lineno"> 1934</span>  tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>(),</div> |
| <div class="line"><a name="l01935"></a><span class="lineno"> 1935</span>  m_flatBufferBuilder.CreateVector(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8bc11f1fa23ef42532f9fdd04d355270">GetQuantizationScales</a>()),</div> |
| <div class="line"><a name="l01936"></a><span class="lineno"> 1936</span>  tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b8fc85ce966c035d789cf22db5088a1">GetQuantizationDim</a>().<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>(),</div> |
| <div class="line"><a name="l01937"></a><span class="lineno"> 1937</span>  <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span></div> |
| <div class="line"><a name="l01938"></a><span class="lineno"> 1938</span>  (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.html#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>()),</div> |
| <div class="line"><a name="l01939"></a><span class="lineno"> 1939</span>  m_flatBufferBuilder.CreateVector(specificity));</div> |
| <div class="line"><a name="l01940"></a><span class="lineno"> 1940</span>  <span class="keywordflow">return</span> flatBufferTensorInfo;</div> |
| <div class="line"><a name="l01941"></a><span class="lineno"> 1941</span>  }</div> |
| <div class="line"><a name="l01942"></a><span class="lineno"> 1942</span>  </div> |
| <div class="line"><a name="l01943"></a><span class="lineno"> 1943</span>  <span class="comment">// Create FlatBuffer TensorInfo</span></div> |
| <div class="line"><a name="l01944"></a><span class="lineno"> 1944</span>  <span class="keyword">auto</span> flatBufferTensorInfo = serializer::CreateTensorInfo(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01945"></a><span class="lineno"> 1945</span>  m_flatBufferBuilder.CreateVector(shape),</div> |
| <div class="line"><a name="l01946"></a><span class="lineno"> 1946</span>  <a class="code" href="namespacearmnn_serializer.html#a27876085f01a54e1995bc0b3ea96ce41">GetFlatBufferDataType</a>(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>()),</div> |
| <div class="line"><a name="l01947"></a><span class="lineno"> 1947</span>  tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(),</div> |
| <div class="line"><a name="l01948"></a><span class="lineno"> 1948</span>  tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>(),</div> |
| <div class="line"><a name="l01949"></a><span class="lineno"> 1949</span>  0,</div> |
| <div class="line"><a name="l01950"></a><span class="lineno"> 1950</span>  0,</div> |
| <div class="line"><a name="l01951"></a><span class="lineno"> 1951</span>  <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span></div> |
| <div class="line"><a name="l01952"></a><span class="lineno"> 1952</span>  (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.html#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>()),</div> |
| <div class="line"><a name="l01953"></a><span class="lineno"> 1953</span>  m_flatBufferBuilder.CreateVector(specificity));</div> |
| <div class="line"><a name="l01954"></a><span class="lineno"> 1954</span>  <span class="keywordflow">return</span> flatBufferTensorInfo;</div> |
| <div class="line"><a name="l01955"></a><span class="lineno"> 1955</span> }</div> |
| <div class="line"><a name="l01956"></a><span class="lineno"> 1956</span>  </div> |
| <div class="line"><a name="l01957"></a><span class="lineno"> 1957</span> flatbuffers::Offset<serializer::ConstTensor></div> |
| <div class="line"><a name="l01958"></a><span class="lineno"> 1958</span>  SerializerStrategy::CreateConstTensorInfo(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a>& constTensor)</div> |
| <div class="line"><a name="l01959"></a><span class="lineno"> 1959</span> {</div> |
| <div class="line"><a name="l01960"></a><span class="lineno"> 1960</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> tensorInfo = constTensor.<a class="code" href="classarmnn_1_1_base_tensor.html#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>();</div> |
| <div class="line"><a name="l01961"></a><span class="lineno"> 1961</span>  </div> |
| <div class="line"><a name="l01962"></a><span class="lineno"> 1962</span>  flatbuffers::Offset<void> fbPayload;</div> |
| <div class="line"><a name="l01963"></a><span class="lineno"> 1963</span>  </div> |
| <div class="line"><a name="l01964"></a><span class="lineno"> 1964</span>  <span class="keywordflow">switch</span> (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>())</div> |
| <div class="line"><a name="l01965"></a><span class="lineno"> 1965</span>  {</div> |
| <div class="line"><a name="l01966"></a><span class="lineno"> 1966</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">armnn::DataType::Signed64</a>:</div> |
| <div class="line"><a name="l01967"></a><span class="lineno"> 1967</span>  {</div> |
| <div class="line"><a name="l01968"></a><span class="lineno"> 1968</span>  <span class="keyword">auto</span> fbVector = CreateDataVector<int64_t>(constTensor.<a class="code" href="classarmnn_1_1_base_tensor.html#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>(), constTensor.<a class="code" href="classarmnn_1_1_base_tensor.html#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>());</div> |
| <div class="line"><a name="l01969"></a><span class="lineno"> 1969</span>  flatbuffers::Offset<serializer::LongData> flatBuffersData = serializer::CreateLongData(</div> |
| <div class="line"><a name="l01970"></a><span class="lineno"> 1970</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01971"></a><span class="lineno"> 1971</span>  fbVector);</div> |
| <div class="line"><a name="l01972"></a><span class="lineno"> 1972</span>  fbPayload = flatBuffersData.o;</div> |
| <div class="line"><a name="l01973"></a><span class="lineno"> 1973</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l01974"></a><span class="lineno"> 1974</span>  }</div> |
| <div class="line"><a name="l01975"></a><span class="lineno"> 1975</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div> |
| <div class="line"><a name="l01976"></a><span class="lineno"> 1976</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>:</div> |
| <div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>  {</div> |
| <div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>  <span class="keyword">auto</span> fbVector = CreateDataVector<int32_t>(constTensor.<a class="code" href="classarmnn_1_1_base_tensor.html#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>(), constTensor.<a class="code" href="classarmnn_1_1_base_tensor.html#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>());</div> |
| <div class="line"><a name="l01979"></a><span class="lineno"> 1979</span>  flatbuffers::Offset<serializer::IntData> flatBuffersData = serializer::CreateIntData(</div> |
| <div class="line"><a name="l01980"></a><span class="lineno"> 1980</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01981"></a><span class="lineno"> 1981</span>  fbVector);</div> |
| <div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>  fbPayload = flatBuffersData.o;</div> |
| <div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>  }</div> |
| <div class="line"><a name="l01985"></a><span class="lineno"> 1985</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>:</div> |
| <div class="line"><a name="l01986"></a><span class="lineno"> 1986</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a>:</div> |
| <div class="line"><a name="l01987"></a><span class="lineno"> 1987</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div> |
| <div class="line"><a name="l01988"></a><span class="lineno"> 1988</span>  {</div> |
| <div class="line"><a name="l01989"></a><span class="lineno"> 1989</span>  <span class="keyword">auto</span> fbVector = CreateDataVector<int16_t>(constTensor.<a class="code" href="classarmnn_1_1_base_tensor.html#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>(), constTensor.<a class="code" href="classarmnn_1_1_base_tensor.html#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>());</div> |
| <div class="line"><a name="l01990"></a><span class="lineno"> 1990</span>  flatbuffers::Offset<serializer::ShortData> flatBuffersData = serializer::CreateShortData(</div> |
| <div class="line"><a name="l01991"></a><span class="lineno"> 1991</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l01992"></a><span class="lineno"> 1992</span>  fbVector);</div> |
| <div class="line"><a name="l01993"></a><span class="lineno"> 1993</span>  fbPayload = flatBuffersData.o;</div> |
| <div class="line"><a name="l01994"></a><span class="lineno"> 1994</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l01995"></a><span class="lineno"> 1995</span>  }</div> |
| <div class="line"><a name="l01996"></a><span class="lineno"> 1996</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>:</div> |
| <div class="line"><a name="l01997"></a><span class="lineno"> 1997</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div> |
| <div class="line"><a name="l01998"></a><span class="lineno"> 1998</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div> |
| <div class="line"><a name="l01999"></a><span class="lineno"> 1999</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>:</div> |
| <div class="line"><a name="l02000"></a><span class="lineno"> 2000</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l02001"></a><span class="lineno"> 2001</span>  {</div> |
| <div class="line"><a name="l02002"></a><span class="lineno"> 2002</span>  <span class="keyword">auto</span> fbVector = CreateDataVector<int8_t>(constTensor.<a class="code" href="classarmnn_1_1_base_tensor.html#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>(), constTensor.<a class="code" href="classarmnn_1_1_base_tensor.html#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>());</div> |
| <div class="line"><a name="l02003"></a><span class="lineno"> 2003</span>  flatbuffers::Offset<serializer::ByteData> flatBuffersData = serializer::CreateByteData(</div> |
| <div class="line"><a name="l02004"></a><span class="lineno"> 2004</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l02005"></a><span class="lineno"> 2005</span>  fbVector);</div> |
| <div class="line"><a name="l02006"></a><span class="lineno"> 2006</span>  fbPayload = flatBuffersData.o;</div> |
| <div class="line"><a name="l02007"></a><span class="lineno"> 2007</span>  }</div> |
| <div class="line"><a name="l02008"></a><span class="lineno"> 2008</span>  }</div> |
| <div class="line"><a name="l02009"></a><span class="lineno"> 2009</span>  flatbuffers::Offset<serializer::ConstTensor> flatBufferConstTensor = serializer::CreateConstTensor(</div> |
| <div class="line"><a name="l02010"></a><span class="lineno"> 2010</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l02011"></a><span class="lineno"> 2011</span>  CreateTensorInfo(tensorInfo),</div> |
| <div class="line"><a name="l02012"></a><span class="lineno"> 2012</span>  <a class="code" href="namespacearmnn_serializer.html#af7a4f31739f602d7d78a056ebed19d04">GetFlatBufferConstTensorData</a>(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>()),</div> |
| <div class="line"><a name="l02013"></a><span class="lineno"> 2013</span>  fbPayload);</div> |
| <div class="line"><a name="l02014"></a><span class="lineno"> 2014</span>  <span class="keywordflow">return</span> flatBufferConstTensor;</div> |
| <div class="line"><a name="l02015"></a><span class="lineno"> 2015</span> }</div> |
| <div class="line"><a name="l02016"></a><span class="lineno"> 2016</span>  </div> |
| <div class="line"><a name="l02017"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_strategy.html#a7594572286ad32d17d57eaa4cdde53f9"> 2017</a></span> flatbuffers::Offset<armnnSerializer::FeatureCompatibilityVersions> SerializerStrategy::GetVersionTable()</div> |
| <div class="line"><a name="l02018"></a><span class="lineno"> 2018</span> {</div> |
| <div class="line"><a name="l02019"></a><span class="lineno"> 2019</span>  flatbuffers::Offset<armnnSerializer::FeatureCompatibilityVersions> versionsTable =</div> |
| <div class="line"><a name="l02020"></a><span class="lineno"> 2020</span>  serializer::CreateFeatureCompatibilityVersions(</div> |
| <div class="line"><a name="l02021"></a><span class="lineno"> 2021</span>  m_flatBufferBuilder,</div> |
| <div class="line"><a name="l02022"></a><span class="lineno"> 2022</span>  1, <span class="comment">// Binding ids scheme version</span></div> |
| <div class="line"><a name="l02023"></a><span class="lineno"> 2023</span>  1, <span class="comment">// Weights layout scheme version</span></div> |
| <div class="line"><a name="l02024"></a><span class="lineno"> 2024</span>  1 <span class="comment">// Constant tensors as inputs version</span></div> |
| <div class="line"><a name="l02025"></a><span class="lineno"> 2025</span>  );</div> |
| <div class="line"><a name="l02026"></a><span class="lineno"> 2026</span>  <span class="keywordflow">return</span> versionsTable;</div> |
| <div class="line"><a name="l02027"></a><span class="lineno"> 2027</span> }</div> |
| <div class="line"><a name="l02028"></a><span class="lineno"> 2028</span>  </div> |
| <div class="line"><a name="l02029"></a><span class="lineno"> 2029</span> std::vector<fb::Offset<serializer::InputSlot>></div> |
| <div class="line"><a name="l02030"></a><span class="lineno"> 2030</span>  SerializerStrategy::CreateInputSlots(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer)</div> |
| <div class="line"><a name="l02031"></a><span class="lineno"> 2031</span> {</div> |
| <div class="line"><a name="l02032"></a><span class="lineno"> 2032</span>  std::vector<fb::Offset<serializer::InputSlot>> inputSlots;</div> |
| <div class="line"><a name="l02033"></a><span class="lineno"> 2033</span>  </div> |
| <div class="line"><a name="l02034"></a><span class="lineno"> 2034</span>  <span class="comment">// Get the InputSlots</span></div> |
| <div class="line"><a name="l02035"></a><span class="lineno"> 2035</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex = 0; slotIndex<layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.html#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>(); ++slotIndex)</div> |
| <div class="line"><a name="l02036"></a><span class="lineno"> 2036</span>  {</div> |
| <div class="line"><a name="l02037"></a><span class="lineno"> 2037</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_input_slot.html">IInputSlot</a>& inputSlot = layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(slotIndex);</div> |
| <div class="line"><a name="l02038"></a><span class="lineno"> 2038</span>  </div> |
| <div class="line"><a name="l02039"></a><span class="lineno"> 2039</span>  <span class="comment">// Get the Connection for the InputSlot</span></div> |
| <div class="line"><a name="l02040"></a><span class="lineno"> 2040</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_output_slot.html">IOutputSlot</a>* connection = inputSlot.<a class="code" href="classarmnn_1_1_i_input_slot.html#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>();</div> |
| <div class="line"><a name="l02041"></a><span class="lineno"> 2041</span>  <span class="keywordtype">bool</span> isOverridden = inputSlot.<a class="code" href="classarmnn_1_1_i_input_slot.html#ae1037289a924bbdfeeccd8986365b25e">IsTensorInfoOverridden</a>();</div> |
| <div class="line"><a name="l02042"></a><span class="lineno"> 2042</span>  </div> |
| <div class="line"><a name="l02043"></a><span class="lineno"> 2043</span>  flatbuffers::Offset<TensorInfo> overriddenTensorInfo = CreateTensorInfo(inputSlot.<a class="code" href="classarmnn_1_1_i_input_slot.html#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>());</div> |
| <div class="line"><a name="l02044"></a><span class="lineno"> 2044</span>  </div> |
| <div class="line"><a name="l02045"></a><span class="lineno"> 2045</span>  <span class="comment">// Create FlatBuffer Connection</span></div> |
| <div class="line"><a name="l02046"></a><span class="lineno"> 2046</span>  serializer::Connection conn(GetSerializedId(inputSlot.<a class="code" href="classarmnn_1_1_i_input_slot.html#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.html#ad0c3555b126975ad6b3e250fe2a59534">GetOwningLayerGuid</a>()),</div> |
| <div class="line"><a name="l02047"></a><span class="lineno"> 2047</span>  connection-><a class="code" href="classarmnn_1_1_i_output_slot.html#a41d30a9cd272e05986d71a69d6ad618b">CalculateIndexOnOwner</a>());</div> |
| <div class="line"><a name="l02048"></a><span class="lineno"> 2048</span>  <span class="comment">// Create FlatBuffer InputSlot</span></div> |
| <div class="line"><a name="l02049"></a><span class="lineno"> 2049</span>  inputSlots.push_back(serializer::CreateInputSlot(m_flatBufferBuilder, slotIndex, &conn, isOverridden,</div> |
| <div class="line"><a name="l02050"></a><span class="lineno"> 2050</span>  overriddenTensorInfo));</div> |
| <div class="line"><a name="l02051"></a><span class="lineno"> 2051</span>  }</div> |
| <div class="line"><a name="l02052"></a><span class="lineno"> 2052</span>  <span class="keywordflow">return</span> inputSlots;</div> |
| <div class="line"><a name="l02053"></a><span class="lineno"> 2053</span> }</div> |
| <div class="line"><a name="l02054"></a><span class="lineno"> 2054</span>  </div> |
| <div class="line"><a name="l02055"></a><span class="lineno"> 2055</span> std::vector<fb::Offset<serializer::OutputSlot>></div> |
| <div class="line"><a name="l02056"></a><span class="lineno"> 2056</span>  SerializerStrategy::CreateOutputSlots(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer)</div> |
| <div class="line"><a name="l02057"></a><span class="lineno"> 2057</span> {</div> |
| <div class="line"><a name="l02058"></a><span class="lineno"> 2058</span>  std::vector<fb::Offset<serializer::OutputSlot>> outputSlots;</div> |
| <div class="line"><a name="l02059"></a><span class="lineno"> 2059</span>  </div> |
| <div class="line"><a name="l02060"></a><span class="lineno"> 2060</span>  <span class="comment">// Get the OutputSlots</span></div> |
| <div class="line"><a name="l02061"></a><span class="lineno"> 2061</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex = 0; slotIndex < layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.html#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>(); ++slotIndex)</div> |
| <div class="line"><a name="l02062"></a><span class="lineno"> 2062</span>  {</div> |
| <div class="line"><a name="l02063"></a><span class="lineno"> 2063</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_output_slot.html">IOutputSlot</a>& outputSlot = layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(slotIndex);</div> |
| <div class="line"><a name="l02064"></a><span class="lineno"> 2064</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& tensorInfo = outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l02065"></a><span class="lineno"> 2065</span>  </div> |
| <div class="line"><a name="l02066"></a><span class="lineno"> 2066</span>  <span class="comment">// Create FlatBuffer Outputslot</span></div> |
| <div class="line"><a name="l02067"></a><span class="lineno"> 2067</span>  outputSlots.push_back(serializer::CreateOutputSlot(m_flatBufferBuilder,</div> |
| <div class="line"><a name="l02068"></a><span class="lineno"> 2068</span>  slotIndex,</div> |
| <div class="line"><a name="l02069"></a><span class="lineno"> 2069</span>  CreateTensorInfo(tensorInfo)));</div> |
| <div class="line"><a name="l02070"></a><span class="lineno"> 2070</span>  }</div> |
| <div class="line"><a name="l02071"></a><span class="lineno"> 2071</span>  <span class="keywordflow">return</span> outputSlots;</div> |
| <div class="line"><a name="l02072"></a><span class="lineno"> 2072</span> }</div> |
| <div class="line"><a name="l02073"></a><span class="lineno"> 2073</span>  </div> |
| <div class="line"><a name="l02074"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_strategy.html#aa2061a0934479222cae45c8ee62284d9"> 2074</a></span> <span class="keywordtype">void</span> SerializerStrategy::ExecuteStrategy(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div> |
| <div class="line"><a name="l02075"></a><span class="lineno"> 2075</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_base_descriptor.html">BaseDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l02076"></a><span class="lineno"> 2076</span>  <span class="keyword">const</span> std::vector<armnn::ConstTensor>& constants,</div> |
| <div class="line"><a name="l02077"></a><span class="lineno"> 2077</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name,</div> |
| <div class="line"><a name="l02078"></a><span class="lineno"> 2078</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> <span class="keywordtype">id</span>)</div> |
| <div class="line"><a name="l02079"></a><span class="lineno"> 2079</span> {</div> |
| <div class="line"><a name="l02080"></a><span class="lineno"> 2080</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(constants);</div> |
| <div class="line"><a name="l02081"></a><span class="lineno"> 2081</span>  </div> |
| <div class="line"><a name="l02082"></a><span class="lineno"> 2082</span>  <span class="keywordflow">switch</span> (layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.html#adceb04ae84c524e4d01881e3754a4d59">GetType</a>())</div> |
| <div class="line"><a name="l02083"></a><span class="lineno"> 2083</span>  {</div> |
| <div class="line"><a name="l02084"></a><span class="lineno"> 2084</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a> :</div> |
| <div class="line"><a name="l02085"></a><span class="lineno"> 2085</span>  {</div> |
| <div class="line"><a name="l02086"></a><span class="lineno"> 2086</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02087"></a><span class="lineno"> 2087</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02088"></a><span class="lineno"> 2088</span>  SerializeActivationLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02089"></a><span class="lineno"> 2089</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02090"></a><span class="lineno"> 2090</span>  }</div> |
| <div class="line"><a name="l02091"></a><span class="lineno"> 2091</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a> :</div> |
| <div class="line"><a name="l02092"></a><span class="lineno"> 2092</span>  {</div> |
| <div class="line"><a name="l02093"></a><span class="lineno"> 2093</span>  SerializeAdditionLayer(layer, name);</div> |
| <div class="line"><a name="l02094"></a><span class="lineno"> 2094</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02095"></a><span class="lineno"> 2095</span>  }</div> |
| <div class="line"><a name="l02096"></a><span class="lineno"> 2096</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::LayerType::ArgMinMax</a> :</div> |
| <div class="line"><a name="l02097"></a><span class="lineno"> 2097</span>  {</div> |
| <div class="line"><a name="l02098"></a><span class="lineno"> 2098</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html">armnn::ArgMinMaxDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02099"></a><span class="lineno"> 2099</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html">armnn::ArgMinMaxDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02100"></a><span class="lineno"> 2100</span>  SerializeArgMinMaxLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02101"></a><span class="lineno"> 2101</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02102"></a><span class="lineno"> 2102</span>  }</div> |
| <div class="line"><a name="l02103"></a><span class="lineno"> 2103</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::LayerType::BatchMatMul</a>:</div> |
| <div class="line"><a name="l02104"></a><span class="lineno"> 2104</span>  {</div> |
| <div class="line"><a name="l02105"></a><span class="lineno"> 2105</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html">armnn::BatchMatMulDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02106"></a><span class="lineno"> 2106</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html">armnn::BatchMatMulDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02107"></a><span class="lineno"> 2107</span>  SerializeBatchMatMulLayer(layer,</div> |
| <div class="line"><a name="l02108"></a><span class="lineno"> 2108</span>  layerDescriptor,</div> |
| <div class="line"><a name="l02109"></a><span class="lineno"> 2109</span>  name);</div> |
| <div class="line"><a name="l02110"></a><span class="lineno"> 2110</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02111"></a><span class="lineno"> 2111</span>  }</div> |
| <div class="line"><a name="l02112"></a><span class="lineno"> 2112</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a> :</div> |
| <div class="line"><a name="l02113"></a><span class="lineno"> 2113</span>  {</div> |
| <div class="line"><a name="l02114"></a><span class="lineno"> 2114</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html">armnn::BatchNormalizationDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02115"></a><span class="lineno"> 2115</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html">armnn::BatchNormalizationDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02116"></a><span class="lineno"> 2116</span>  SerializeBatchNormalizationLayer(layer,</div> |
| <div class="line"><a name="l02117"></a><span class="lineno"> 2117</span>  layerDescriptor,</div> |
| <div class="line"><a name="l02118"></a><span class="lineno"> 2118</span>  constants,</div> |
| <div class="line"><a name="l02119"></a><span class="lineno"> 2119</span>  name);</div> |
| <div class="line"><a name="l02120"></a><span class="lineno"> 2120</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02121"></a><span class="lineno"> 2121</span>  }</div> |
| <div class="line"><a name="l02122"></a><span class="lineno"> 2122</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a> :</div> |
| <div class="line"><a name="l02123"></a><span class="lineno"> 2123</span>  {</div> |
| <div class="line"><a name="l02124"></a><span class="lineno"> 2124</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">armnn::BatchToSpaceNdDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02125"></a><span class="lineno"> 2125</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">armnn::BatchToSpaceNdDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02126"></a><span class="lineno"> 2126</span>  SerializeBatchToSpaceNdLayer(layer,</div> |
| <div class="line"><a name="l02127"></a><span class="lineno"> 2127</span>  layerDescriptor,</div> |
| <div class="line"><a name="l02128"></a><span class="lineno"> 2128</span>  name);</div> |
| <div class="line"><a name="l02129"></a><span class="lineno"> 2129</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02130"></a><span class="lineno"> 2130</span>  }</div> |
| <div class="line"><a name="l02131"></a><span class="lineno"> 2131</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::LayerType::Cast</a> :</div> |
| <div class="line"><a name="l02132"></a><span class="lineno"> 2132</span>  {</div> |
| <div class="line"><a name="l02133"></a><span class="lineno"> 2133</span>  SerializeCastLayer(layer, name);</div> |
| <div class="line"><a name="l02134"></a><span class="lineno"> 2134</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02135"></a><span class="lineno"> 2135</span>  }</div> |
| <div class="line"><a name="l02136"></a><span class="lineno"> 2136</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">armnn::LayerType::ChannelShuffle</a> :</div> |
| <div class="line"><a name="l02137"></a><span class="lineno"> 2137</span>  {</div> |
| <div class="line"><a name="l02138"></a><span class="lineno"> 2138</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.html">armnn::ChannelShuffleDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02139"></a><span class="lineno"> 2139</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.html">armnn::ChannelShuffleDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02140"></a><span class="lineno"> 2140</span>  SerializeChannelShuffleLayer(layer,</div> |
| <div class="line"><a name="l02141"></a><span class="lineno"> 2141</span>  layerDescriptor,</div> |
| <div class="line"><a name="l02142"></a><span class="lineno"> 2142</span>  name);</div> |
| <div class="line"><a name="l02143"></a><span class="lineno"> 2143</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02144"></a><span class="lineno"> 2144</span>  }</div> |
| <div class="line"><a name="l02145"></a><span class="lineno"> 2145</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">armnn::LayerType::Comparison</a> :</div> |
| <div class="line"><a name="l02146"></a><span class="lineno"> 2146</span>  {</div> |
| <div class="line"><a name="l02147"></a><span class="lineno"> 2147</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.html">armnn::ComparisonDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02148"></a><span class="lineno"> 2148</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_comparison_descriptor.html">armnn::ComparisonDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02149"></a><span class="lineno"> 2149</span>  SerializeComparisonLayer(layer,</div> |
| <div class="line"><a name="l02150"></a><span class="lineno"> 2150</span>  layerDescriptor,</div> |
| <div class="line"><a name="l02151"></a><span class="lineno"> 2151</span>  name);</div> |
| <div class="line"><a name="l02152"></a><span class="lineno"> 2152</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02153"></a><span class="lineno"> 2153</span>  }</div> |
| <div class="line"><a name="l02154"></a><span class="lineno"> 2154</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::LayerType::Concat</a> :</div> |
| <div class="line"><a name="l02155"></a><span class="lineno"> 2155</span>  {</div> |
| <div class="line"><a name="l02156"></a><span class="lineno"> 2156</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.html">armnn::ConcatDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02157"></a><span class="lineno"> 2157</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_origins_descriptor.html">armnn::ConcatDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02158"></a><span class="lineno"> 2158</span>  SerializeConcatLayer(layer,</div> |
| <div class="line"><a name="l02159"></a><span class="lineno"> 2159</span>  layerDescriptor,</div> |
| <div class="line"><a name="l02160"></a><span class="lineno"> 2160</span>  name);</div> |
| <div class="line"><a name="l02161"></a><span class="lineno"> 2161</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02162"></a><span class="lineno"> 2162</span>  }</div> |
| <div class="line"><a name="l02163"></a><span class="lineno"> 2163</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a> :</div> |
| <div class="line"><a name="l02164"></a><span class="lineno"> 2164</span>  {</div> |
| <div class="line"><a name="l02165"></a><span class="lineno"> 2165</span>  SerializeConstantLayer(layer,</div> |
| <div class="line"><a name="l02166"></a><span class="lineno"> 2166</span>  constants,</div> |
| <div class="line"><a name="l02167"></a><span class="lineno"> 2167</span>  name);</div> |
| <div class="line"><a name="l02168"></a><span class="lineno"> 2168</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02169"></a><span class="lineno"> 2169</span>  }</div> |
| <div class="line"><a name="l02170"></a><span class="lineno"> 2170</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a> :</div> |
| <div class="line"><a name="l02171"></a><span class="lineno"> 2171</span>  {</div> |
| <div class="line"><a name="l02172"></a><span class="lineno"> 2172</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02173"></a><span class="lineno"> 2173</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02174"></a><span class="lineno"> 2174</span>  SerializeConvolution2dLayer(layer,</div> |
| <div class="line"><a name="l02175"></a><span class="lineno"> 2175</span>  layerDescriptor,</div> |
| <div class="line"><a name="l02176"></a><span class="lineno"> 2176</span>  name);</div> |
| <div class="line"><a name="l02177"></a><span class="lineno"> 2177</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02178"></a><span class="lineno"> 2178</span>  }</div> |
| <div class="line"><a name="l02179"></a><span class="lineno"> 2179</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::LayerType::Convolution3d</a> :</div> |
| <div class="line"><a name="l02180"></a><span class="lineno"> 2180</span>  {</div> |
| <div class="line"><a name="l02181"></a><span class="lineno"> 2181</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.html">armnn::Convolution3dDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02182"></a><span class="lineno"> 2182</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_convolution3d_descriptor.html">armnn::Convolution3dDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02183"></a><span class="lineno"> 2183</span>  SerializeConvolution3dLayer(layer,</div> |
| <div class="line"><a name="l02184"></a><span class="lineno"> 2184</span>  layerDescriptor,</div> |
| <div class="line"><a name="l02185"></a><span class="lineno"> 2185</span>  name);</div> |
| <div class="line"><a name="l02186"></a><span class="lineno"> 2186</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02187"></a><span class="lineno"> 2187</span>  }</div> |
| <div class="line"><a name="l02188"></a><span class="lineno"> 2188</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::LayerType::DepthToSpace</a> :</div> |
| <div class="line"><a name="l02189"></a><span class="lineno"> 2189</span>  {</div> |
| <div class="line"><a name="l02190"></a><span class="lineno"> 2190</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">armnn::DepthToSpaceDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02191"></a><span class="lineno"> 2191</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">armnn::DepthToSpaceDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02192"></a><span class="lineno"> 2192</span>  SerializeDepthToSpaceLayer(layer,</div> |
| <div class="line"><a name="l02193"></a><span class="lineno"> 2193</span>  layerDescriptor,</div> |
| <div class="line"><a name="l02194"></a><span class="lineno"> 2194</span>  name);</div> |
| <div class="line"><a name="l02195"></a><span class="lineno"> 2195</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02196"></a><span class="lineno"> 2196</span>  }</div> |
| <div class="line"><a name="l02197"></a><span class="lineno"> 2197</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a> :</div> |
| <div class="line"><a name="l02198"></a><span class="lineno"> 2198</span>  {</div> |
| <div class="line"><a name="l02199"></a><span class="lineno"> 2199</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">armnn::DepthwiseConvolution2dDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02200"></a><span class="lineno"> 2200</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">armnn::DepthwiseConvolution2dDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02201"></a><span class="lineno"> 2201</span>  SerializeDepthwiseConvolution2dLayer(layer,</div> |
| <div class="line"><a name="l02202"></a><span class="lineno"> 2202</span>  layerDescriptor,</div> |
| <div class="line"><a name="l02203"></a><span class="lineno"> 2203</span>  name);</div> |
| <div class="line"><a name="l02204"></a><span class="lineno"> 2204</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02205"></a><span class="lineno"> 2205</span>  }</div> |
| <div class="line"><a name="l02206"></a><span class="lineno"> 2206</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::LayerType::Dequantize</a> :</div> |
| <div class="line"><a name="l02207"></a><span class="lineno"> 2207</span>  {</div> |
| <div class="line"><a name="l02208"></a><span class="lineno"> 2208</span>  SerializeDequantizeLayer(layer,</div> |
| <div class="line"><a name="l02209"></a><span class="lineno"> 2209</span>  name);</div> |
| <div class="line"><a name="l02210"></a><span class="lineno"> 2210</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02211"></a><span class="lineno"> 2211</span>  }</div> |
| <div class="line"><a name="l02212"></a><span class="lineno"> 2212</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a> :</div> |
| <div class="line"><a name="l02213"></a><span class="lineno"> 2213</span>  {</div> |
| <div class="line"><a name="l02214"></a><span class="lineno"> 2214</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html">armnn::DetectionPostProcessDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02215"></a><span class="lineno"> 2215</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html">armnn::DetectionPostProcessDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02216"></a><span class="lineno"> 2216</span>  SerializeDetectionPostProcessLayer(layer, layerDescriptor, constants, name);</div> |
| <div class="line"><a name="l02217"></a><span class="lineno"> 2217</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02218"></a><span class="lineno"> 2218</span>  }</div> |
| <div class="line"><a name="l02219"></a><span class="lineno"> 2219</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::LayerType::Division</a> :</div> |
| <div class="line"><a name="l02220"></a><span class="lineno"> 2220</span>  {</div> |
| <div class="line"><a name="l02221"></a><span class="lineno"> 2221</span>  SerializeDivisionLayer(layer, name);</div> |
| <div class="line"><a name="l02222"></a><span class="lineno"> 2222</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02223"></a><span class="lineno"> 2223</span>  }</div> |
| <div class="line"><a name="l02224"></a><span class="lineno"> 2224</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::LayerType::ElementwiseBinary</a> :</div> |
| <div class="line"><a name="l02225"></a><span class="lineno"> 2225</span>  {</div> |
| <div class="line"><a name="l02226"></a><span class="lineno"> 2226</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html">armnn::ElementwiseBinaryDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02227"></a><span class="lineno"> 2227</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html">armnn::ElementwiseBinaryDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02228"></a><span class="lineno"> 2228</span>  SerializeElementwiseBinaryLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02229"></a><span class="lineno"> 2229</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02230"></a><span class="lineno"> 2230</span>  }</div> |
| <div class="line"><a name="l02231"></a><span class="lineno"> 2231</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::LayerType::ElementwiseUnary</a> :</div> |
| <div class="line"><a name="l02232"></a><span class="lineno"> 2232</span>  {</div> |
| <div class="line"><a name="l02233"></a><span class="lineno"> 2233</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.html">armnn::ElementwiseUnaryDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02234"></a><span class="lineno"> 2234</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.html">armnn::ElementwiseUnaryDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02235"></a><span class="lineno"> 2235</span>  SerializeElementwiseUnaryLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02236"></a><span class="lineno"> 2236</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02237"></a><span class="lineno"> 2237</span>  }</div> |
| <div class="line"><a name="l02238"></a><span class="lineno"> 2238</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">armnn::LayerType::Fill</a> :</div> |
| <div class="line"><a name="l02239"></a><span class="lineno"> 2239</span>  {</div> |
| <div class="line"><a name="l02240"></a><span class="lineno"> 2240</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fill_descriptor.html">armnn::FillDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02241"></a><span class="lineno"> 2241</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_fill_descriptor.html">armnn::FillDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02242"></a><span class="lineno"> 2242</span>  SerializeFillLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02243"></a><span class="lineno"> 2243</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02244"></a><span class="lineno"> 2244</span>  }</div> |
| <div class="line"><a name="l02245"></a><span class="lineno"> 2245</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">armnn::LayerType::Floor</a> :</div> |
| <div class="line"><a name="l02246"></a><span class="lineno"> 2246</span>  {</div> |
| <div class="line"><a name="l02247"></a><span class="lineno"> 2247</span>  SerializeFloorLayer(layer, name);</div> |
| <div class="line"><a name="l02248"></a><span class="lineno"> 2248</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02249"></a><span class="lineno"> 2249</span>  }</div> |
| <div class="line"><a name="l02250"></a><span class="lineno"> 2250</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a> :</div> |
| <div class="line"><a name="l02251"></a><span class="lineno"> 2251</span>  {</div> |
| <div class="line"><a name="l02252"></a><span class="lineno"> 2252</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.html">armnn::FullyConnectedDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02253"></a><span class="lineno"> 2253</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_fully_connected_descriptor.html">armnn::FullyConnectedDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02254"></a><span class="lineno"> 2254</span>  SerializeFullyConnectedLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02255"></a><span class="lineno"> 2255</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02256"></a><span class="lineno"> 2256</span>  }</div> |
| <div class="line"><a name="l02257"></a><span class="lineno"> 2257</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">armnn::LayerType::Gather</a> :</div> |
| <div class="line"><a name="l02258"></a><span class="lineno"> 2258</span>  {</div> |
| <div class="line"><a name="l02259"></a><span class="lineno"> 2259</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_gather_descriptor.html">armnn::GatherDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02260"></a><span class="lineno"> 2260</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_gather_descriptor.html">armnn::GatherDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02261"></a><span class="lineno"> 2261</span>  SerializeGatherLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02262"></a><span class="lineno"> 2262</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02263"></a><span class="lineno"> 2263</span>  }</div> |
| <div class="line"><a name="l02264"></a><span class="lineno"> 2264</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">armnn::LayerType::GatherNd</a> :</div> |
| <div class="line"><a name="l02265"></a><span class="lineno"> 2265</span>  {</div> |
| <div class="line"><a name="l02266"></a><span class="lineno"> 2266</span>  SerializeGatherNdLayer(layer, name);</div> |
| <div class="line"><a name="l02267"></a><span class="lineno"> 2267</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02268"></a><span class="lineno"> 2268</span>  }</div> |
| <div class="line"><a name="l02269"></a><span class="lineno"> 2269</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a>:</div> |
| <div class="line"><a name="l02270"></a><span class="lineno"> 2270</span>  {</div> |
| <div class="line"><a name="l02271"></a><span class="lineno"> 2271</span>  SerializeInputLayer(layer, <span class="keywordtype">id</span>, name);</div> |
| <div class="line"><a name="l02272"></a><span class="lineno"> 2272</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02273"></a><span class="lineno"> 2273</span>  }</div> |
| <div class="line"><a name="l02274"></a><span class="lineno"> 2274</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::LayerType::InstanceNormalization</a> :</div> |
| <div class="line"><a name="l02275"></a><span class="lineno"> 2275</span>  {</div> |
| <div class="line"><a name="l02276"></a><span class="lineno"> 2276</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.html">armnn::InstanceNormalizationDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02277"></a><span class="lineno"> 2277</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_instance_normalization_descriptor.html">armnn::InstanceNormalizationDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02278"></a><span class="lineno"> 2278</span>  SerializeInstanceNormalizationLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02279"></a><span class="lineno"> 2279</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02280"></a><span class="lineno"> 2280</span>  }</div> |
| <div class="line"><a name="l02281"></a><span class="lineno"> 2281</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::LayerType::L2Normalization</a> :</div> |
| <div class="line"><a name="l02282"></a><span class="lineno"> 2282</span>  {</div> |
| <div class="line"><a name="l02283"></a><span class="lineno"> 2283</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.html">armnn::L2NormalizationDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02284"></a><span class="lineno"> 2284</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_l2_normalization_descriptor.html">armnn::L2NormalizationDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02285"></a><span class="lineno"> 2285</span>  SerializeL2NormalizationLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02286"></a><span class="lineno"> 2286</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02287"></a><span class="lineno"> 2287</span>  }</div> |
| <div class="line"><a name="l02288"></a><span class="lineno"> 2288</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">armnn::LayerType::LogicalBinary</a> :</div> |
| <div class="line"><a name="l02289"></a><span class="lineno"> 2289</span>  {</div> |
| <div class="line"><a name="l02290"></a><span class="lineno"> 2290</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_logical_binary_descriptor.html">armnn::LogicalBinaryDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02291"></a><span class="lineno"> 2291</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_logical_binary_descriptor.html">armnn::LogicalBinaryDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02292"></a><span class="lineno"> 2292</span>  SerializeLogicalBinaryLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02293"></a><span class="lineno"> 2293</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02294"></a><span class="lineno"> 2294</span>  }</div> |
| <div class="line"><a name="l02295"></a><span class="lineno"> 2295</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LayerType::LogSoftmax</a> :</div> |
| <div class="line"><a name="l02296"></a><span class="lineno"> 2296</span>  {</div> |
| <div class="line"><a name="l02297"></a><span class="lineno"> 2297</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.html">armnn::LogSoftmaxDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02298"></a><span class="lineno"> 2298</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_softmax_descriptor.html">armnn::LogSoftmaxDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02299"></a><span class="lineno"> 2299</span>  SerializeLogSoftmaxLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02300"></a><span class="lineno"> 2300</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02301"></a><span class="lineno"> 2301</span>  }</div> |
| <div class="line"><a name="l02302"></a><span class="lineno"> 2302</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">armnn::LayerType::Lstm</a> :</div> |
| <div class="line"><a name="l02303"></a><span class="lineno"> 2303</span>  {</div> |
| <div class="line"><a name="l02304"></a><span class="lineno"> 2304</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">armnn::LstmDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02305"></a><span class="lineno"> 2305</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_lstm_descriptor.html">armnn::LstmDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02306"></a><span class="lineno"> 2306</span>  SerializeLstmLayer(layer, layerDescriptor, constants, name);</div> |
| <div class="line"><a name="l02307"></a><span class="lineno"> 2307</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02308"></a><span class="lineno"> 2308</span>  }</div> |
| <div class="line"><a name="l02309"></a><span class="lineno"> 2309</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::LayerType::QLstm</a> :</div> |
| <div class="line"><a name="l02310"></a><span class="lineno"> 2310</span>  {</div> |
| <div class="line"><a name="l02311"></a><span class="lineno"> 2311</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.html">armnn::QLstmDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02312"></a><span class="lineno"> 2312</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_q_lstm_descriptor.html">armnn::QLstmDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02313"></a><span class="lineno"> 2313</span>  SerializeQLstmLayer(layer, layerDescriptor, constants, name);</div> |
| <div class="line"><a name="l02314"></a><span class="lineno"> 2314</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02315"></a><span class="lineno"> 2315</span>  }</div> |
| <div class="line"><a name="l02316"></a><span class="lineno"> 2316</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">armnn::LayerType::Maximum</a> :</div> |
| <div class="line"><a name="l02317"></a><span class="lineno"> 2317</span>  {</div> |
| <div class="line"><a name="l02318"></a><span class="lineno"> 2318</span>  SerializeMaximumLayer(layer, name);</div> |
| <div class="line"><a name="l02319"></a><span class="lineno"> 2319</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02320"></a><span class="lineno"> 2320</span>  }</div> |
| <div class="line"><a name="l02321"></a><span class="lineno"> 2321</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">armnn::LayerType::Mean</a> :</div> |
| <div class="line"><a name="l02322"></a><span class="lineno"> 2322</span>  {</div> |
| <div class="line"><a name="l02323"></a><span class="lineno"> 2323</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.html">armnn::MeanDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02324"></a><span class="lineno"> 2324</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_mean_descriptor.html">armnn::MeanDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02325"></a><span class="lineno"> 2325</span>  SerializeMeanLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02326"></a><span class="lineno"> 2326</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02327"></a><span class="lineno"> 2327</span>  }</div> |
| <div class="line"><a name="l02328"></a><span class="lineno"> 2328</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::LayerType::Merge</a> :</div> |
| <div class="line"><a name="l02329"></a><span class="lineno"> 2329</span>  {</div> |
| <div class="line"><a name="l02330"></a><span class="lineno"> 2330</span>  SerializeMergeLayer(layer, name);</div> |
| <div class="line"><a name="l02331"></a><span class="lineno"> 2331</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02332"></a><span class="lineno"> 2332</span>  }</div> |
| <div class="line"><a name="l02333"></a><span class="lineno"> 2333</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::LayerType::Minimum</a> :</div> |
| <div class="line"><a name="l02334"></a><span class="lineno"> 2334</span>  {</div> |
| <div class="line"><a name="l02335"></a><span class="lineno"> 2335</span>  SerializeMinimumLayer(layer, name);</div> |
| <div class="line"><a name="l02336"></a><span class="lineno"> 2336</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02337"></a><span class="lineno"> 2337</span>  }</div> |
| <div class="line"><a name="l02338"></a><span class="lineno"> 2338</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a> :</div> |
| <div class="line"><a name="l02339"></a><span class="lineno"> 2339</span>  {</div> |
| <div class="line"><a name="l02340"></a><span class="lineno"> 2340</span>  SerializeMultiplicationLayer(layer, name);</div> |
| <div class="line"><a name="l02341"></a><span class="lineno"> 2341</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02342"></a><span class="lineno"> 2342</span>  }</div> |
| <div class="line"><a name="l02343"></a><span class="lineno"> 2343</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::LayerType::Normalization</a> :</div> |
| <div class="line"><a name="l02344"></a><span class="lineno"> 2344</span>  {</div> |
| <div class="line"><a name="l02345"></a><span class="lineno"> 2345</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.html">armnn::NormalizationDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02346"></a><span class="lineno"> 2346</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_normalization_descriptor.html">armnn::NormalizationDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02347"></a><span class="lineno"> 2347</span>  SerializeNormalizationLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02348"></a><span class="lineno"> 2348</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02349"></a><span class="lineno"> 2349</span>  }</div> |
| <div class="line"><a name="l02350"></a><span class="lineno"> 2350</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a>:</div> |
| <div class="line"><a name="l02351"></a><span class="lineno"> 2351</span>  {</div> |
| <div class="line"><a name="l02352"></a><span class="lineno"> 2352</span>  SerializeOutputLayer(layer, <span class="keywordtype">id</span>, name);</div> |
| <div class="line"><a name="l02353"></a><span class="lineno"> 2353</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02354"></a><span class="lineno"> 2354</span>  }</div> |
| <div class="line"><a name="l02355"></a><span class="lineno"> 2355</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::LayerType::Pad</a> :</div> |
| <div class="line"><a name="l02356"></a><span class="lineno"> 2356</span>  {</div> |
| <div class="line"><a name="l02357"></a><span class="lineno"> 2357</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.html">armnn::PadDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02358"></a><span class="lineno"> 2358</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_pad_descriptor.html">armnn::PadDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02359"></a><span class="lineno"> 2359</span>  SerializePadLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02360"></a><span class="lineno"> 2360</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02361"></a><span class="lineno"> 2361</span>  }</div> |
| <div class="line"><a name="l02362"></a><span class="lineno"> 2362</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a> :</div> |
| <div class="line"><a name="l02363"></a><span class="lineno"> 2363</span>  {</div> |
| <div class="line"><a name="l02364"></a><span class="lineno"> 2364</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.html">armnn::PermuteDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02365"></a><span class="lineno"> 2365</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_permute_descriptor.html">armnn::PermuteDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02366"></a><span class="lineno"> 2366</span>  SerializePermuteLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02367"></a><span class="lineno"> 2367</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02368"></a><span class="lineno"> 2368</span>  }</div> |
| <div class="line"><a name="l02369"></a><span class="lineno"> 2369</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a> :</div> |
| <div class="line"><a name="l02370"></a><span class="lineno"> 2370</span>  {</div> |
| <div class="line"><a name="l02371"></a><span class="lineno"> 2371</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.html">armnn::Pooling2dDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02372"></a><span class="lineno"> 2372</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_pooling2d_descriptor.html">armnn::Pooling2dDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02373"></a><span class="lineno"> 2373</span>  SerializePooling2dLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02374"></a><span class="lineno"> 2374</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02375"></a><span class="lineno"> 2375</span>  }</div> |
| <div class="line"><a name="l02376"></a><span class="lineno"> 2376</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">armnn::LayerType::Pooling3d</a> :</div> |
| <div class="line"><a name="l02377"></a><span class="lineno"> 2377</span>  {</div> |
| <div class="line"><a name="l02378"></a><span class="lineno"> 2378</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.html">armnn::Pooling3dDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02379"></a><span class="lineno"> 2379</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_pooling3d_descriptor.html">armnn::Pooling3dDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02380"></a><span class="lineno"> 2380</span>  SerializePooling3dLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02381"></a><span class="lineno"> 2381</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02382"></a><span class="lineno"> 2382</span>  }</div> |
| <div class="line"><a name="l02383"></a><span class="lineno"> 2383</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::LayerType::Prelu</a> :</div> |
| <div class="line"><a name="l02384"></a><span class="lineno"> 2384</span>  {</div> |
| <div class="line"><a name="l02385"></a><span class="lineno"> 2385</span>  SerializePreluLayer(layer, name);</div> |
| <div class="line"><a name="l02386"></a><span class="lineno"> 2386</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02387"></a><span class="lineno"> 2387</span>  }</div> |
| <div class="line"><a name="l02388"></a><span class="lineno"> 2388</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::LayerType::Quantize</a> :</div> |
| <div class="line"><a name="l02389"></a><span class="lineno"> 2389</span>  {</div> |
| <div class="line"><a name="l02390"></a><span class="lineno"> 2390</span>  SerializeQuantizeLayer(layer, name);</div> |
| <div class="line"><a name="l02391"></a><span class="lineno"> 2391</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02392"></a><span class="lineno"> 2392</span>  }</div> |
| <div class="line"><a name="l02393"></a><span class="lineno"> 2393</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::LayerType::QuantizedLstm</a>:</div> |
| <div class="line"><a name="l02394"></a><span class="lineno"> 2394</span>  SerializeQuantizedLstmLayer(layer, constants, name);</div> |
| <div class="line"><a name="l02395"></a><span class="lineno"> 2395</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02396"></a><span class="lineno"> 2396</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::LayerType::Reshape</a>:</div> |
| <div class="line"><a name="l02397"></a><span class="lineno"> 2397</span>  {</div> |
| <div class="line"><a name="l02398"></a><span class="lineno"> 2398</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.html">armnn::ReshapeDescriptor</a> &layerDescriptor =</div> |
| <div class="line"><a name="l02399"></a><span class="lineno"> 2399</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_reshape_descriptor.html">armnn::ReshapeDescriptor</a> &<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02400"></a><span class="lineno"> 2400</span>  SerializeReshapeLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02401"></a><span class="lineno"> 2401</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02402"></a><span class="lineno"> 2402</span>  }</div> |
| <div class="line"><a name="l02403"></a><span class="lineno"> 2403</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">armnn::LayerType::Rank</a>:</div> |
| <div class="line"><a name="l02404"></a><span class="lineno"> 2404</span>  {</div> |
| <div class="line"><a name="l02405"></a><span class="lineno"> 2405</span>  SerializeRankLayer(layer, name);</div> |
| <div class="line"><a name="l02406"></a><span class="lineno"> 2406</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02407"></a><span class="lineno"> 2407</span>  }</div> |
| <div class="line"><a name="l02408"></a><span class="lineno"> 2408</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::LayerType::Reduce</a>:</div> |
| <div class="line"><a name="l02409"></a><span class="lineno"> 2409</span>  {</div> |
| <div class="line"><a name="l02410"></a><span class="lineno"> 2410</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reduce_descriptor.html">armnn::ReduceDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02411"></a><span class="lineno"> 2411</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_reduce_descriptor.html">armnn::ReduceDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02412"></a><span class="lineno"> 2412</span>  SerializeReduceLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02413"></a><span class="lineno"> 2413</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02414"></a><span class="lineno"> 2414</span>  }</div> |
| <div class="line"><a name="l02415"></a><span class="lineno"> 2415</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::LayerType::Resize</a>:</div> |
| <div class="line"><a name="l02416"></a><span class="lineno"> 2416</span>  {</div> |
| <div class="line"><a name="l02417"></a><span class="lineno"> 2417</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.html">armnn::ResizeDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02418"></a><span class="lineno"> 2418</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_resize_descriptor.html">armnn::ResizeDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02419"></a><span class="lineno"> 2419</span>  SerializeResizeLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02420"></a><span class="lineno"> 2420</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02421"></a><span class="lineno"> 2421</span>  }</div> |
| <div class="line"><a name="l02422"></a><span class="lineno"> 2422</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295">armnn::LayerType::ReverseV2</a>:</div> |
| <div class="line"><a name="l02423"></a><span class="lineno"> 2423</span>  {</div> |
| <div class="line"><a name="l02424"></a><span class="lineno"> 2424</span>  SerializeReverseV2Layer(layer, name);</div> |
| <div class="line"><a name="l02425"></a><span class="lineno"> 2425</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02426"></a><span class="lineno"> 2426</span>  }</div> |
| <div class="line"><a name="l02427"></a><span class="lineno"> 2427</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7401e8c502f3f7c3544e3f16bf3f488b">armnn::LayerType::ScatterNd</a>:</div> |
| <div class="line"><a name="l02428"></a><span class="lineno"> 2428</span>  {</div> |
| <div class="line"><a name="l02429"></a><span class="lineno"> 2429</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_scatter_nd_descriptor.html">armnn::ScatterNdDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02430"></a><span class="lineno"> 2430</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_scatter_nd_descriptor.html">armnn::ScatterNdDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02431"></a><span class="lineno"> 2431</span>  SerializeScatterNdLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02432"></a><span class="lineno"> 2432</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02433"></a><span class="lineno"> 2433</span>  }</div> |
| <div class="line"><a name="l02434"></a><span class="lineno"> 2434</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">armnn::LayerType::Shape</a>:</div> |
| <div class="line"><a name="l02435"></a><span class="lineno"> 2435</span>  {</div> |
| <div class="line"><a name="l02436"></a><span class="lineno"> 2436</span>  SerializeShapeLayer(layer, name);</div> |
| <div class="line"><a name="l02437"></a><span class="lineno"> 2437</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02438"></a><span class="lineno"> 2438</span>  }</div> |
| <div class="line"><a name="l02439"></a><span class="lineno"> 2439</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::LayerType::Slice</a>:</div> |
| <div class="line"><a name="l02440"></a><span class="lineno"> 2440</span>  {</div> |
| <div class="line"><a name="l02441"></a><span class="lineno"> 2441</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.html">armnn::SliceDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02442"></a><span class="lineno"> 2442</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_slice_descriptor.html">armnn::SliceDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02443"></a><span class="lineno"> 2443</span>  SerializeSliceLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02444"></a><span class="lineno"> 2444</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02445"></a><span class="lineno"> 2445</span>  }</div> |
| <div class="line"><a name="l02446"></a><span class="lineno"> 2446</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a>:</div> |
| <div class="line"><a name="l02447"></a><span class="lineno"> 2447</span>  {</div> |
| <div class="line"><a name="l02448"></a><span class="lineno"> 2448</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.html">armnn::SoftmaxDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02449"></a><span class="lineno"> 2449</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_softmax_descriptor.html">armnn::SoftmaxDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02450"></a><span class="lineno"> 2450</span>  SerializeSoftmaxLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02451"></a><span class="lineno"> 2451</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02452"></a><span class="lineno"> 2452</span>  }</div> |
| <div class="line"><a name="l02453"></a><span class="lineno"> 2453</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::LayerType::SpaceToBatchNd</a>:</div> |
| <div class="line"><a name="l02454"></a><span class="lineno"> 2454</span>  {</div> |
| <div class="line"><a name="l02455"></a><span class="lineno"> 2455</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html">armnn::SpaceToBatchNdDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02456"></a><span class="lineno"> 2456</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html">armnn::SpaceToBatchNdDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02457"></a><span class="lineno"> 2457</span>  SerializeSpaceToBatchNdLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02458"></a><span class="lineno"> 2458</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02459"></a><span class="lineno"> 2459</span>  }</div> |
| <div class="line"><a name="l02460"></a><span class="lineno"> 2460</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::LayerType::SpaceToDepth</a>:</div> |
| <div class="line"><a name="l02461"></a><span class="lineno"> 2461</span>  {</div> |
| <div class="line"><a name="l02462"></a><span class="lineno"> 2462</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">armnn::SpaceToDepthDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02463"></a><span class="lineno"> 2463</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">armnn::SpaceToDepthDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02464"></a><span class="lineno"> 2464</span>  SerializeSpaceToDepthLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02465"></a><span class="lineno"> 2465</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02466"></a><span class="lineno"> 2466</span>  }</div> |
| <div class="line"><a name="l02467"></a><span class="lineno"> 2467</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::LayerType::Splitter</a>:</div> |
| <div class="line"><a name="l02468"></a><span class="lineno"> 2468</span>  {</div> |
| <div class="line"><a name="l02469"></a><span class="lineno"> 2469</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.html">armnn::SplitterDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02470"></a><span class="lineno"> 2470</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_views_descriptor.html">armnn::SplitterDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02471"></a><span class="lineno"> 2471</span>  SerializeSplitterLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02472"></a><span class="lineno"> 2472</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02473"></a><span class="lineno"> 2473</span>  }</div> |
| <div class="line"><a name="l02474"></a><span class="lineno"> 2474</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::LayerType::Stack</a>:</div> |
| <div class="line"><a name="l02475"></a><span class="lineno"> 2475</span>  {</div> |
| <div class="line"><a name="l02476"></a><span class="lineno"> 2476</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.html">armnn::StackDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02477"></a><span class="lineno"> 2477</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_stack_descriptor.html">armnn::StackDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02478"></a><span class="lineno"> 2478</span>  SerializeStackLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02479"></a><span class="lineno"> 2479</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02480"></a><span class="lineno"> 2480</span>  }</div> |
| <div class="line"><a name="l02481"></a><span class="lineno"> 2481</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99">armnn::LayerType::StandIn</a>:</div> |
| <div class="line"><a name="l02482"></a><span class="lineno"> 2482</span>  {</div> |
| <div class="line"><a name="l02483"></a><span class="lineno"> 2483</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stand_in_descriptor.html">armnn::StandInDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02484"></a><span class="lineno"> 2484</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_stand_in_descriptor.html">armnn::StandInDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02485"></a><span class="lineno"> 2485</span>  SerializeStandInLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02486"></a><span class="lineno"> 2486</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02487"></a><span class="lineno"> 2487</span>  }</div> |
| <div class="line"><a name="l02488"></a><span class="lineno"> 2488</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::LayerType::StridedSlice</a>:</div> |
| <div class="line"><a name="l02489"></a><span class="lineno"> 2489</span>  {</div> |
| <div class="line"><a name="l02490"></a><span class="lineno"> 2490</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.html">armnn::StridedSliceDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02491"></a><span class="lineno"> 2491</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_strided_slice_descriptor.html">armnn::StridedSliceDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02492"></a><span class="lineno"> 2492</span>  SerializeStridedSliceLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02493"></a><span class="lineno"> 2493</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02494"></a><span class="lineno"> 2494</span>  }</div> |
| <div class="line"><a name="l02495"></a><span class="lineno"> 2495</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a>:</div> |
| <div class="line"><a name="l02496"></a><span class="lineno"> 2496</span>  {</div> |
| <div class="line"><a name="l02497"></a><span class="lineno"> 2497</span>  SerializeSubtractionLayer(layer, name);</div> |
| <div class="line"><a name="l02498"></a><span class="lineno"> 2498</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02499"></a><span class="lineno"> 2499</span>  }</div> |
| <div class="line"><a name="l02500"></a><span class="lineno"> 2500</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b">armnn::LayerType::Switch</a>:</div> |
| <div class="line"><a name="l02501"></a><span class="lineno"> 2501</span>  {</div> |
| <div class="line"><a name="l02502"></a><span class="lineno"> 2502</span>  SerializeSwitchLayer(layer, name);</div> |
| <div class="line"><a name="l02503"></a><span class="lineno"> 2503</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02504"></a><span class="lineno"> 2504</span>  }</div> |
| <div class="line"><a name="l02505"></a><span class="lineno"> 2505</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152">armnn::LayerType::Tile</a>:</div> |
| <div class="line"><a name="l02506"></a><span class="lineno"> 2506</span>  {</div> |
| <div class="line"><a name="l02507"></a><span class="lineno"> 2507</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_tile_descriptor.html">armnn::TileDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02508"></a><span class="lineno"> 2508</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_tile_descriptor.html">armnn::TileDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02509"></a><span class="lineno"> 2509</span>  SerializeTileLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02510"></a><span class="lineno"> 2510</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02511"></a><span class="lineno"> 2511</span>  }</div> |
| <div class="line"><a name="l02512"></a><span class="lineno"> 2512</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::LayerType::Transpose</a>:</div> |
| <div class="line"><a name="l02513"></a><span class="lineno"> 2513</span>  {</div> |
| <div class="line"><a name="l02514"></a><span class="lineno"> 2514</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.html">armnn::TransposeDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02515"></a><span class="lineno"> 2515</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_transpose_descriptor.html">armnn::TransposeDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02516"></a><span class="lineno"> 2516</span>  SerializeTransposeLayer(layer, layerDescriptor, name);</div> |
| <div class="line"><a name="l02517"></a><span class="lineno"> 2517</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02518"></a><span class="lineno"> 2518</span>  }</div> |
| <div class="line"><a name="l02519"></a><span class="lineno"> 2519</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::LayerType::TransposeConvolution2d</a>:</div> |
| <div class="line"><a name="l02520"></a><span class="lineno"> 2520</span>  {</div> |
| <div class="line"><a name="l02521"></a><span class="lineno"> 2521</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">armnn::TransposeConvolution2dDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02522"></a><span class="lineno"> 2522</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">armnn::TransposeConvolution2dDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02523"></a><span class="lineno"> 2523</span>  SerializeTransposeConvolution2dLayer(layer, layerDescriptor, constants, name);</div> |
| <div class="line"><a name="l02524"></a><span class="lineno"> 2524</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02525"></a><span class="lineno"> 2525</span>  }</div> |
| <div class="line"><a name="l02526"></a><span class="lineno"> 2526</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">armnn::LayerType::UnidirectionalSequenceLstm</a> :</div> |
| <div class="line"><a name="l02527"></a><span class="lineno"> 2527</span>  {</div> |
| <div class="line"><a name="l02528"></a><span class="lineno"> 2528</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">armnn::UnidirectionalSequenceLstmDescriptor</a>& layerDescriptor =</div> |
| <div class="line"><a name="l02529"></a><span class="lineno"> 2529</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_lstm_descriptor.html">armnn::UnidirectionalSequenceLstmDescriptor</a>&<span class="keyword">></span>(descriptor);</div> |
| <div class="line"><a name="l02530"></a><span class="lineno"> 2530</span>  SerializeUnidirectionalSequenceLstmLayer(layer, layerDescriptor, constants, name);</div> |
| <div class="line"><a name="l02531"></a><span class="lineno"> 2531</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l02532"></a><span class="lineno"> 2532</span>  }</div> |
| <div class="line"><a name="l02533"></a><span class="lineno"> 2533</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l02534"></a><span class="lineno"> 2534</span>  {</div> |
| <div class="line"><a name="l02535"></a><span class="lineno"> 2535</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l02536"></a><span class="lineno"> 2536</span>  fmt::format(<span class="stringliteral">"A layer of unknown type was given to the serializer. Layer name: {}; Layer Id: {}"</span>,</div> |
| <div class="line"><a name="l02537"></a><span class="lineno"> 2537</span>  layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.html#afcc1c3a20bd2860e0ddd21674389246f">GetName</a>(),</div> |
| <div class="line"><a name="l02538"></a><span class="lineno"> 2538</span>  <span class="keywordtype">id</span>));</div> |
| <div class="line"><a name="l02539"></a><span class="lineno"> 2539</span>  }</div> |
| <div class="line"><a name="l02540"></a><span class="lineno"> 2540</span>  }</div> |
| <div class="line"><a name="l02541"></a><span class="lineno"> 2541</span> }</div> |
| <div class="line"><a name="l02542"></a><span class="lineno"> 2542</span>  </div> |
| <div class="line"><a name="l02543"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_i_serializer_1_1_serializer_impl.html#a4d146e96f4464192b762b23e1cf1e207"> 2543</a></span> <span class="keywordtype">void</span> ISerializer::SerializerImpl::Serialize(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_network.html">INetwork</a>& inNetwork)</div> |
| <div class="line"><a name="l02544"></a><span class="lineno"> 2544</span> {</div> |
| <div class="line"><a name="l02545"></a><span class="lineno"> 2545</span>  <span class="comment">// Iterate through to network</span></div> |
| <div class="line"><a name="l02546"></a><span class="lineno"> 2546</span>  inNetwork.<a class="code" href="classarmnn_1_1_i_network.html#a72032c65bf8b8acf09b564b7d80078c5">ExecuteStrategy</a>(m_SerializerStrategy);</div> |
| <div class="line"><a name="l02547"></a><span class="lineno"> 2547</span>  flatbuffers::FlatBufferBuilder& fbBuilder = m_SerializerStrategy.GetFlatBufferBuilder();</div> |
| <div class="line"><a name="l02548"></a><span class="lineno"> 2548</span>  </div> |
| <div class="line"><a name="l02549"></a><span class="lineno"> 2549</span>  <span class="comment">// Create FlatBuffer SerializedGraph</span></div> |
| <div class="line"><a name="l02550"></a><span class="lineno"> 2550</span>  <span class="keyword">auto</span> serializedGraph = serializer::CreateSerializedGraph(</div> |
| <div class="line"><a name="l02551"></a><span class="lineno"> 2551</span>  fbBuilder,</div> |
| <div class="line"><a name="l02552"></a><span class="lineno"> 2552</span>  fbBuilder.CreateVector(m_SerializerStrategy.GetSerializedLayers()),</div> |
| <div class="line"><a name="l02553"></a><span class="lineno"> 2553</span>  fbBuilder.CreateVector(m_SerializerStrategy.GetInputIds()),</div> |
| <div class="line"><a name="l02554"></a><span class="lineno"> 2554</span>  fbBuilder.CreateVector(m_SerializerStrategy.GetOutputIds()),</div> |
| <div class="line"><a name="l02555"></a><span class="lineno"> 2555</span>  m_SerializerStrategy.GetVersionTable());</div> |
| <div class="line"><a name="l02556"></a><span class="lineno"> 2556</span>  </div> |
| <div class="line"><a name="l02557"></a><span class="lineno"> 2557</span>  <span class="comment">// Serialize the graph</span></div> |
| <div class="line"><a name="l02558"></a><span class="lineno"> 2558</span>  fbBuilder.Finish(serializedGraph);</div> |
| <div class="line"><a name="l02559"></a><span class="lineno"> 2559</span> }</div> |
| <div class="line"><a name="l02560"></a><span class="lineno"> 2560</span>  </div> |
| <div class="line"><a name="l02561"></a><span class="lineno"> 2561</span>  </div> |
| <div class="line"><a name="l02562"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_i_serializer_1_1_serializer_impl.html#a049d34980f9dd0a518f9781822a718c4"> 2562</a></span> <span class="keywordtype">bool</span> ISerializer::SerializerImpl::SaveSerializedToStream(std::ostream& stream)</div> |
| <div class="line"><a name="l02563"></a><span class="lineno"> 2563</span> {</div> |
| <div class="line"><a name="l02564"></a><span class="lineno"> 2564</span>  flatbuffers::FlatBufferBuilder& fbBuilder = m_SerializerStrategy.GetFlatBufferBuilder();</div> |
| <div class="line"><a name="l02565"></a><span class="lineno"> 2565</span>  </div> |
| <div class="line"><a name="l02566"></a><span class="lineno"> 2566</span>  <span class="keyword">auto</span> bytesToWrite = armnn::numeric_cast<std::streamsize>(fbBuilder.GetSize());</div> |
| <div class="line"><a name="l02567"></a><span class="lineno"> 2567</span>  stream.write(<span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><span class="keywordtype">char</span>*<span class="keyword">></span>(fbBuilder.GetBufferPointer()), bytesToWrite);</div> |
| <div class="line"><a name="l02568"></a><span class="lineno"> 2568</span>  <span class="keywordflow">return</span> !stream.bad();</div> |
| <div class="line"><a name="l02569"></a><span class="lineno"> 2569</span> }</div> |
| <div class="line"><a name="l02570"></a><span class="lineno"> 2570</span>  </div> |
| <div class="line"><a name="l02571"></a><span class="lineno"> 2571</span> } <span class="comment">// namespace armnnSerializer</span></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <div class="ttc" id="astructarmnn_1_1_batch_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.html">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00828">Descriptors.hpp:828</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#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.html#l00570">Descriptors.hpp:570</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div><div class="ttdeci">@ Max</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::LayerType::SpaceToDepth</a></div><div class="ttdeci">@ SpaceToDepth</div></div> |
| <div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_html_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.html#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.html#l00867">Descriptors.hpp:867</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_slice_descriptor_html_a4939f00778f08d6c6fec6f74c0a59b7e"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.html#a4939f00778f08d6c6fec6f74c0a59b7e">armnn::SliceDescriptor::m_Begin</a></div><div class="ttdeci">std::vector< unsigned int > 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.html#l01244">Descriptors.hpp:1244</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a72032c65bf8b8acf09b564b7d80078c5"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a72032c65bf8b8acf09b564b7d80078c5">armnn::INetwork::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00672">Network.cpp:672</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_channel_shuffle_descriptor_html_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.html#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.html#l01580">Descriptors.hpp:1580</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_origins_descriptor_html_a379929e3b277f1ef94f3ce645870589d"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#a379929e3b277f1ef94f3ce645870589d">armnn::OriginsDescriptor::GetConcatAxis</a></div><div class="ttdeci">unsigned int GetConcatAxis() const</div><div class="ttdoc">Get the concatenation axis value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00162">Descriptors.cpp:162</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div><div class="ttdeci">@ Boolean</div></div> |
| <div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_html_a2d3dcfc10f90adedc995b64211dab6e9"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html#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.html#l00530">Descriptors.hpp:530</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_a8c29d6ea9b4186d69aad5961c910939c"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#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.html#l00425">Descriptors.hpp:425</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_views_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.html">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00244">Descriptors.hpp:244</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_html_a4392dd6b4862cc9cf95ae8f1001ba592"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#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.html#l00751">Descriptors.hpp:751</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div><div class="ttdeci">@ Permute</div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_afec7f36158448f723b426a9527acb189"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#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.html#l01428">Descriptors.hpp:1428</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_activation_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00036">Descriptors.hpp:36</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#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.html#l01469">Descriptors.hpp:1469</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_acb441bb8db19bcce78d15cdd8ceb5ea0"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#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.html#l01612">Descriptors.hpp:1612</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_origins_descriptor_html_a35546e7b56e6e972a495b48748478ede"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#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.html#l00187">Descriptors.cpp:187</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00507">Descriptors.hpp:507</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_html_ae64523937ea910030ad66fee6fddd51f"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#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.html#l00759">Descriptors.hpp:759</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::LayerType::Splitter</a></div><div class="ttdeci">@ Splitter</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_base_tensor_html_aa81f67ac64f0c249e26499600c45d996"><div class="ttname"><a href="classarmnn_1_1_base_tensor.html#aa81f67ac64f0c249e26499600c45d996">armnn::BaseTensor::GetMemoryArea</a></div><div class="ttdeci">MemoryType GetMemoryArea() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00307">Tensor.hpp:307</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div><div class="ttdeci">@ BatchNormalization</div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html">armnn::QLstmDescriptor</a></div><div class="ttdoc">A QLstmDescriptor for the QLstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01380">Descriptors.hpp:1380</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a75ca90884e15396a70b0cb722a877b4aa78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.html#a75ca90884e15396a70b0cb722a877b4aa78d811e98514cd165dda532286610fd2">armnn::ScatterNdFunction::Min</a></div><div class="ttdeci">@ Min</div></div> |
| <div class="ttc" id="a_serializer_8hpp_html"><div class="ttname"><a href="_serializer_8hpp.html">Serializer.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#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.html#l01477">Descriptors.hpp:1477</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_a9c2cba04b6d7ace4fc2a2436b82a5a63"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#a9c2cba04b6d7ace4fc2a2436b82a5a63">armnn::IConnectableLayer::GetNumInputSlots</a></div><div class="ttdeci">virtual unsigned int GetNumInputSlots() const =0</div><div class="ttdoc">Returns the number of connectable input slots.</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::ActivationFunction::LeakyReLu</a></div><div class="ttdeci">@ LeakyReLu</div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_af279947f1e42035d0f611e5b8cd70cb2"><div class="ttname"><a href="namespacearmnn_serializer.html#af279947f1e42035d0f611e5b8cd70cb2">armnnSerializer::GetFlatBufferNormalizationAlgorithmChannel</a></div><div class="ttdeci">armnnSerializer::NormalizationAlgorithmChannel GetFlatBufferNormalizationAlgorithmChannel(armnn::NormalizationAlgorithmChannel normalizationAlgorithmChannel)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.html#l00213">SerializerUtils.cpp:213</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#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.html#l01422">Descriptors.hpp:1422</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html_affb5b68b3eba3ed45a06c7cde7781962"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html#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.html#l00499">Descriptors.hpp:499</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_resize_descriptor_html_a4022d5107338aaf5eb7abebf78a1360b"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#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.html#l01018">Descriptors.hpp:1018</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a3dcd10ca3ea2e132558b1e2814668c15"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#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.html#l01154">Descriptors.hpp:1154</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_normalization_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.html#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.html#l00843">Descriptors.hpp:843</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html#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.html#l00479">Descriptors.hpp:479</a></div></div> |
| <div class="ttc" id="a_descriptors_8hpp_html"><div class="ttname"><a href="_descriptors_8hpp.html">Descriptors.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.html#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.html#l01071">Descriptors.hpp:1071</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_html_a281fcaec86e17c97f7b8402633f6b55a"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html#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.html#l00528">Descriptors.hpp:528</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_resize_descriptor_html_a46c3fa15c46fb0d1dcdc24d0ea5cb5cd"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">armnn::ResizeDescriptor::m_TargetHeight</a></div><div class="ttdeci">uint32_t m_TargetHeight</div><div class="ttdoc">Target height value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01009">Descriptors.hpp:1009</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#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.html#l00708">Descriptors.hpp:708</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8bc11f1fa23ef42532f9fdd04d355270"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8bc11f1fa23ef42532f9fdd04d355270">armnn::TensorInfo::GetQuantizationScales</a></div><div class="ttdeci">std::vector< float > GetQuantizationScales() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00451">Tensor.cpp:451</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_a5699e8606c37d18c03910b242cd1b010"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#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.html#l00417">Descriptors.hpp:417</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html_a118fe06b7c2599da60398ee311ede923"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#a118fe06b7c2599da60398ee311ede923">armnn::StridedSliceDescriptor::m_Begin</a></div><div class="ttdeci">std::vector< int > 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.html#l01342">Descriptors.hpp:1342</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a75ca90884e15396a70b0cb722a877b4aae80155eceb940c89e2de63ad05868db2"><div class="ttname"><a href="namespacearmnn.html#a75ca90884e15396a70b0cb722a877b4aae80155eceb940c89e2de63ad05868db2">armnn::ScatterNdFunction::Sub</a></div><div class="ttdeci">@ Sub</div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_html_a7a2156ec7d9c012ce00bbcc6afcb9028"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#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.html#l00761">Descriptors.hpp:761</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html">armnn::Pooling3dDescriptor</a></div><div class="ttdoc">A Pooling3dDescriptor for the Pooling3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00431">Descriptors.hpp:431</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_a0cf8306be7d301de0f095fff9901a525"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#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.html#l01617">Descriptors.hpp:1617</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_html_ae72089bcab60ac175557f4241b16a014"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#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.html#l00745">Descriptors.hpp:745</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a83ca447892f460dabaa2f87d3dc3db61"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#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.html#l00637">Descriptors.hpp:637</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_resize_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html">armnn::ResizeDescriptor</a></div><div class="ttdoc">A ResizeDescriptor for the ResizeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00985">Descriptors.hpp:985</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_input_slot_html_ae1037289a924bbdfeeccd8986365b25e"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.html#ae1037289a924bbdfeeccd8986365b25e">armnn::IInputSlot::IsTensorInfoOverridden</a></div><div class="ttdeci">virtual bool IsTensorInfoOverridden() const =0</div><div class="ttdoc">Returns true if this InputSlot has an overridden TensorInfo that was set through a call to SetTensorI...</div></div> |
| <div class="ttc" id="astructarmnn_1_1_arg_min_max_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.html">armnn::ArgMinMaxDescriptor</a></div><div class="ttdoc">An ArgMinMaxDescriptor for ArgMinMaxLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00067">Descriptors.hpp:67</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_afcc1c3a20bd2860e0ddd21674389246f"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#afcc1c3a20bd2860e0ddd21674389246f">armnn::IConnectableLayer::GetName</a></div><div class="ttdeci">virtual const char * GetName() const =0</div><div class="ttdoc">Returns the name of the layer.</div></div> |
| <div class="ttc" id="astructarmnn_1_1_activation_descriptor_html_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00061">Descriptors.hpp:61</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.html">armnn::InstanceNormalizationDescriptor</a></div><div class="ttdoc">An InstanceNormalizationDescriptor for InstanceNormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00847">Descriptors.hpp:847</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html_af996d82c47e43a16f4c8faa6c6b3e030"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#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.html#l01357">Descriptors.hpp:1357</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_views_descriptor_html_a0863c05ae66572108c23853f8f003b55"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.html#a0863c05ae66572108c23853f8f003b55">armnn::ViewsDescriptor::HasAxis</a></div><div class="ttdeci">bool HasAxis() const</div><div class="ttdoc">Returns true if an axis has been set.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00388">Descriptors.cpp:388</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_softmax_descriptor_html_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.html#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.html#l00190">Descriptors.hpp:190</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_gather_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.html">armnn::GatherDescriptor</a></div><div class="ttdoc">A GatherDescriptor for the GatherLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00965">Descriptors.hpp:965</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a3919600d4aa8d5cd801a0e0740f62308"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a3919600d4aa8d5cd801a0e0740f62308">armnn::TensorShape::GetDimensionSpecificity</a></div><div class="ttdeci">bool GetDimensionSpecificity(unsigned int i) const</div><div class="ttdoc">Gets information about if the dimension size has been specified or not.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00211">Tensor.cpp:211</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a047ca888c43bd7fb5702853bf72410d0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">armnn::TensorInfo::GetQuantizationScale</a></div><div class="ttdeci">float GetQuantizationScale() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00461">Tensor.cpp:461</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::LayerType::InstanceNormalization</a></div><div class="ttdeci">@ InstanceNormalization</div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#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.html#l00710">Descriptors.hpp:710</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a></div><div class="ttdeci">@ Sqrt</div></div> |
| <div class="ttc" id="astructarmnn_1_1_scatter_nd_descriptor_html_a12501f4f1f889d0b63f8a6067cdaad4a"><div class="ttname"><a href="structarmnn_1_1_scatter_nd_descriptor.html#a12501f4f1f889d0b63f8a6067cdaad4a">armnn::ScatterNdDescriptor::m_InputEnabled</a></div><div class="ttdeci">bool m_InputEnabled</div><div class="ttdoc">Flag to show if input tensor is accepted.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01722">Descriptors.hpp:1722</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_aedca000a005e091c23191e82d7e81b1d"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#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.html#l01621">Descriptors.hpp:1621</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_l2_normalization_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.html#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.html#l00824">Descriptors.hpp:824</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">armnn::LayerType::Floor</a></div><div class="ttdeci">@ Floor</div></div> |
| <div class="ttc" id="astructarmnn_1_1_l2_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.html">armnn::L2NormalizationDescriptor</a></div><div class="ttdoc">A L2NormalizationDescriptor for the L2NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00809">Descriptors.hpp:809</a></div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_a1c88cccaeb232c6fe8022c7006bb21bc"><div class="ttname"><a href="namespacearmnn_serializer.html#a1c88cccaeb232c6fe8022c7006bb21bc">armnnSerializer::GetFlatBufferComparisonOperation</a></div><div class="ttdeci">armnnSerializer::ComparisonOperation GetFlatBufferComparisonOperation(armnn::ComparisonOperation comparisonOperation)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.html#l00011">SerializerUtils.cpp:11</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_base_tensor_html_abcbdfb544ece4c31d0b37715ad0f3be0"><div class="ttname"><a href="classarmnn_1_1_base_tensor.html#abcbdfb544ece4c31d0b37715ad0f3be0">armnn::BaseTensor::GetNumBytes</a></div><div class="ttdeci">unsigned int GetNumBytes() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00304">Tensor.hpp:304</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_normalization_descriptor_html_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.html#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.html#l00801">Descriptors.hpp:801</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_origins_descriptor_html_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">armnn::OriginsDescriptor::GetNumDimensions</a></div><div class="ttdeci">uint32_t GetNumDimensions() const</div><div class="ttdoc">Get the number of dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00192">Descriptors.cpp:192</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::LayerType::Transpose</a></div><div class="ttdeci">@ Transpose</div></div> |
| <div class="ttc" id="astructarmnn_1_1_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.html">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00769">Descriptors.hpp:769</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">armnn::LayerType::Comparison</a></div><div class="ttdeci">@ Comparison</div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#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.html#l00421">Descriptors.hpp:421</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_html_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">armnn::BatchToSpaceNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector< unsigned int > m_BlockShape</div><div class="ttdoc">Block shape values.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00898">Descriptors.hpp:898</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_afb5e65c770f6cee222db8af7581541a6"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#afb5e65c770f6cee222db8af7581541a6">armnn::IConnectableLayer::GetGuid</a></div><div class="ttdeci">virtual LayerGuid GetGuid() const =0</div><div class="ttdoc">Returns the unique id of the layer.</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::LayerType::StridedSlice</a></div><div class="ttdeci">@ StridedSlice</div></div> |
| <div class="ttc" id="astructarmnn_1_1_channel_shuffle_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.html">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.html#l01562">Descriptors.hpp:1562</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div> |
| <div class="ttc" id="astructarmnn_1_1_resize_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::ResizeDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01014">Descriptors.hpp:1014</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a></div><div class="ttdeci">@ TanH</div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#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.html#l00692">Descriptors.hpp:692</a></div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_a27876085f01a54e1995bc0b3ea96ce41"><div class="ttname"><a href="namespacearmnn_serializer.html#a27876085f01a54e1995bc0b3ea96ce41">armnnSerializer::GetFlatBufferDataType</a></div><div class="ttdeci">armnnSerializer::DataType GetFlatBufferDataType(armnn::DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.html#l00067">SerializerUtils.cpp:67</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#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.html#l00576">Descriptors.hpp:576</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#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.html#l00411">Descriptors.hpp:411</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#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.html#l00633">Descriptors.hpp:633</a></div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html"><div class="ttname"><a href="namespacearmnn_serializer.html">armnnSerializer</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_serializer_8hpp_source.html#l00011">ISerializer.hpp:11</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_arg_min_max_descriptor_html_ab1ae6f520bb1a4da191a0ae907477f23"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.html#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.html#l00081">Descriptors.hpp:81</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152">armnn::LayerType::Tile</a></div><div class="ttdeci">@ Tile</div></div> |
| <div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_html_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">armnn::SpaceToBatchNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector< unsigned int > m_BlockShape</div><div class="ttdoc">Block shape value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01066">Descriptors.hpp:1066</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html_a61081be1483984e33db452c75d569f51"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#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.html#l01350">Descriptors.hpp:1350</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_ad945fc98770356dd886a68e98a52e26b"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#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.html#l01618">Descriptors.hpp:1618</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#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.html#l00647">Descriptors.hpp:647</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#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.html#l00635">Descriptors.hpp:635</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div><div class="ttdeci">@ QAsymmU8</div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a09e1f097944f61cc901240f9300364cf"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#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.html#l01426">Descriptors.hpp:1426</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeae"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeae">armnn::ArgMinMaxFunction</a></div><div class="ttdeci">ArgMinMaxFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00103">Types.hpp:103</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_html_ab509802c659de19929f18bad14a35c58"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#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.html#l00763">Descriptors.hpp:763</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdeci">@ BoundedReLu</div><div class="ttdoc">min(a, max(b, input)) ReLu1 & ReLu6.</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::LayerType::Stack</a></div><div class="ttdeci">@ Stack</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div><div class="ttdeci">@ QSymmS8</div></div> |
| <div class="ttc" id="astructarmnn_1_1_stack_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html">armnn::StackDescriptor</a></div><div class="ttdoc">A StackDescriptor for the StackLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01251">Descriptors.hpp:1251</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_output_slot_html_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo & GetTensorInfo() const =0</div></div> |
| <div class="ttc" id="a_ignore_unused_8hpp_html"><div class="ttname"><a href="_ignore_unused_8hpp.html">IgnoreUnused.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html_a5164336f6a1b15be0d434a6bbf7289da"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html#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.html#l00497">Descriptors.hpp:497</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::LayerType::Normalization</a></div><div class="ttdeci">@ Normalization</div></div> |
| <div class="ttc" id="astructarmnn_1_1_normalization_descriptor_html_aa70c05f1aad12fbd9d9ec43ea4557b03"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.html#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.html#l00797">Descriptors.hpp:797</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::LayerType::QuantizedLstm</a></div><div class="ttdeci">@ QuantizedLstm</div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_a6d8fb685cc1ff224f25aa127fcf62c86"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#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.html#l00415">Descriptors.hpp:415</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_stand_in_descriptor_html_aed6086070440ceb94129bef06f70173f"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.html#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.html#l01297">Descriptors.hpp:1297</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::LayerType::Reduce</a></div><div class="ttdeci">@ Reduce</div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html#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.html#l00503">Descriptors.hpp:503</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#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.html#l00566">Descriptors.hpp:566</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_html_a3941f674c071c9503e00d2b59e92e454"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">armnn::BatchToSpaceNdDescriptor::m_Crops</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > 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.html#l00900">Descriptors.hpp:900</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_ab85cd8cc10c96a7c99c14042c251fc48"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">armnn::TensorInfo::HasPerAxisQuantization</a></div><div class="ttdeci">bool HasPerAxisQuantization() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00446">Tensor.cpp:446</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#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.html#l00702">Descriptors.hpp:702</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#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.html#l00580">Descriptors.hpp:580</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::LayerType::ElementwiseUnary</a></div><div class="ttdeci">@ ElementwiseUnary</div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html#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.html#l00481">Descriptors.hpp:481</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_html_a9ae2c9796692ebeafe19a4d3f09c8ea8"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#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.html#l00747">Descriptors.hpp:747</a></div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_a255a85366167a060a9e33ce2378f28a0"><div class="ttname"><a href="namespacearmnn_serializer.html#a255a85366167a060a9e33ce2378f28a0">armnnSerializer::GetFlatBufferResizeMethod</a></div><div class="ttdeci">armnnSerializer::ResizeMethod GetFlatBufferResizeMethod(armnn::ResizeMethod method)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.html#l00241">SerializerUtils.cpp:241</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_ac2dac3b61c94de52093616be4ab17f8d"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#ac2dac3b61c94de52093616be4ab17f8d">armnn::IConnectableLayer::GetNumOutputSlots</a></div><div class="ttdeci">virtual unsigned int GetNumOutputSlots() const =0</div><div class="ttdoc">Returns the number of connectable output slots.</div></div> |
| <div class="ttc" id="aclassarmnn_serializer_1_1_i_serializer_html"><div class="ttname"><a href="classarmnn_serializer_1_1_i_serializer.html">armnnSerializer::ISerializer</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_serializer_8hpp_source.html#l00017">ISerializer.hpp:17</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a0477ee1b44ace6090119178eea78cb0b"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#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.html#l01430">Descriptors.hpp:1430</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::ActivationFunction::HardSwish</a></div><div class="ttdeci">@ HardSwish</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div><div class="ttdeci">@ QSymmS16</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaaf48cca1c6deaa6a1c34e4ee46954cf0b"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaf48cca1c6deaa6a1c34e4ee46954cf0b">armnn::ActivationFunction::Gelu</a></div><div class="ttdeci">@ Gelu</div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_aac3bf4453f8a909ca23f290089df8ff1"><div class="ttname"><a href="namespacearmnn_serializer.html#aac3bf4453f8a909ca23f290089df8ff1">armnnSerializer::GetFlatBufferActivationFunction</a></div><div class="ttdeci">serializer::ActivationFunction GetFlatBufferActivationFunction(armnn::ActivationFunction function)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_8cpp_source.html#l00055">Serializer.cpp:55</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_normalization_descriptor_html_a05945f080edf694b631960728b87aadb"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.html#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.html#l00795">Descriptors.hpp:795</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">armnn::LayerType::GatherNd</a></div><div class="ttdeci">@ GatherNd</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::LayerType::ElementwiseBinary</a></div><div class="ttdeci">@ ElementwiseBinary</div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#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.html#l01475">Descriptors.hpp:1475</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_scatter_nd_descriptor_html_a96a5cc69bb69aea9cb10cdf17f74fbd4"><div class="ttname"><a href="structarmnn_1_1_scatter_nd_descriptor.html#a96a5cc69bb69aea9cb10cdf17f74fbd4">armnn::ScatterNdDescriptor::m_AxisEnabled</a></div><div class="ttdeci">bool m_AxisEnabled</div><div class="ttdoc">Flag for ScatterElement, will be set to false by default, we do not support m_AxisEnable = true for n...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01728">Descriptors.hpp:1728</a></div></div> |
| <div class="ttc" id="a_numeric_cast_8hpp_html"><div class="ttname"><a href="_numeric_cast_8hpp.html">NumericCast.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div><div class="ttdeci">@ BFloat16</div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html#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.html#l00495">Descriptors.hpp:495</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_reduce_descriptor_html_aa57c67b1da0011b1abb30170146e870f"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html#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.html#l01558">Descriptors.hpp:1558</a></div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_af7a4f31739f602d7d78a056ebed19d04"><div class="ttname"><a href="namespacearmnn_serializer.html#af7a4f31739f602d7d78a056ebed19d04">armnnSerializer::GetFlatBufferConstTensorData</a></div><div class="ttdeci">armnnSerializer::ConstTensorData GetFlatBufferConstTensorData(armnn::DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.html#l00045">SerializerUtils.cpp:45</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_mean_descriptor_html_a28e0548abfc4e79c48f29a3d11a062e9"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.html#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.html#l01192">Descriptors.hpp:1192</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fill_descriptor_html_ab3ebc5cf4a617d43371a4cb7fecdeb32"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.html#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.html#l00940">Descriptors.hpp:940</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_elementwise_binary_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_elementwise_binary_descriptor.html">armnn::ElementwiseBinaryDescriptor</a></div><div class="ttdoc">A ElementwiseBinaryDescriptor for the ElementwiseBinaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00109">Descriptors.hpp:109</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_views_descriptor_html_a3c1ab47a0a319413b3a4b5757ed5b80b"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.html#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.html#l00347">Descriptors.cpp:347</a></div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_a3b7e287018684d7cbb6324e0943c069a"><div class="ttname"><a href="namespacearmnn_serializer.html#a3b7e287018684d7cbb6324e0943c069a">armnnSerializer::GetFlatBufferBinaryOperation</a></div><div class="ttdeci">armnnSerializer::BinaryOperation GetFlatBufferBinaryOperation(armnn::BinaryOperation binaryOperation)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.html#l00110">SerializerUtils.cpp:110</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html_a0031997bf43bd2747656c31e4977793a"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html#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.html#l00473">Descriptors.hpp:473</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_resize_descriptor_html_a869254cb56968986a78a79e1d6d4a86b"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#a869254cb56968986a78a79e1d6d4a86b">armnn::ResizeDescriptor::m_Method</a></div><div class="ttdeci">ResizeMethod m_Method</div><div class="ttdoc">The Interpolation method to use (Bilinear, NearestNeighbor).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01012">Descriptors.hpp:1012</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_html_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">armnn::SpaceToBatchNdDescriptor::m_PadList</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > 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.html#l01069">Descriptors.hpp:1069</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::LayerType::Slice</a></div><div class="ttdeci">@ Slice</div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#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.html#l01148">Descriptors.hpp:1148</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#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.html#l00631">Descriptors.hpp:631</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_scatter_nd_descriptor_html_a35d11c7d509d1adbae1ae01c58394a7f"><div class="ttname"><a href="structarmnn_1_1_scatter_nd_descriptor.html#a35d11c7d509d1adbae1ae01c58394a7f">armnn::ScatterNdDescriptor::m_Axis</a></div><div class="ttdeci">int32_t m_Axis</div><div class="ttdoc">Extra attribute for ScatterElement, will be set to 0 by default, we do not support axis !...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01725">Descriptors.hpp:1725</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_normalization_descriptor_html_afe1f0f09d49ad2befc01f8789187b7dd"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.html#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.html#l00793">Descriptors.hpp:793</a></div></div> |
| <div class="ttc" id="a_lstm_params_8hpp_html"><div class="ttname"><a href="_lstm_params_8hpp.html">LstmParams.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_output_slot_html"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html">armnn::IOutputSlot</a></div><div class="ttdoc">An output connection slot for a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00053">INetwork.hpp:53</a></div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_a6a38e099993f10c9262e0b5f2bff4fcd"><div class="ttname"><a href="namespacearmnn_serializer.html#a6a38e099993f10c9262e0b5f2bff4fcd">armnnSerializer::GetFlatBufferDataLayout</a></div><div class="ttdeci">armnnSerializer::DataLayout GetFlatBufferDataLayout(armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.html#l00094">SerializerUtils.cpp:94</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_stack_descriptor_html_aed6086070440ceb94129bef06f70173f"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html#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.html#l01275">Descriptors.hpp:1275</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div><div class="ttdeci">@ Float16</div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a86e88bef0df4df96df752b4b8955a3af"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#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.html#l01144">Descriptors.hpp:1144</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">armnn::LayerType::ChannelShuffle</a></div><div class="ttdeci">@ ChannelShuffle</div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html_a6d8fb685cc1ff224f25aa127fcf62c86"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html#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.html#l00487">Descriptors.hpp:487</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#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.html#l01363">Descriptors.hpp:1363</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#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.html#l00427">Descriptors.hpp:427</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00174">Tensor.cpp:174</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#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.html#l00706">Descriptors.hpp:706</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#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.html#l00413">Descriptors.hpp:413</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div><div class="ttdeci">@ Subtraction</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::LayerType::Prelu</a></div><div class="ttdeci">@ Prelu</div></div> |
| <div class="ttc" id="astructarmnn_1_1_views_descriptor_html_a109d4dc452ce677b1e0791cb2a6b781e"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.html#a109d4dc452ce677b1e0791cb2a6b781e">armnn::ViewsDescriptor::GetAxis</a></div><div class="ttdeci">int32_t GetAxis() const</div><div class="ttdoc">Get the axis value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00382">Descriptors.cpp:382</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html_a8c29d6ea9b4186d69aad5961c910939c"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html#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.html#l00501">Descriptors.hpp:501</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a7401e8c502f3f7c3544e3f16bf3f488b"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7401e8c502f3f7c3544e3f16bf3f488b">armnn::LayerType::ScatterNd</a></div><div class="ttdeci">@ ScatterNd</div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#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.html#l00409">Descriptors.hpp:409</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html#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.html#l00526">Descriptors.hpp:526</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">armnn::LayerType::LogicalBinary</a></div><div class="ttdeci">@ LogicalBinary</div></div> |
| <div class="ttc" id="astructarmnn_1_1_logical_binary_descriptor_html_a32c95d929d2e2e0fa7fc1a3a25865eb0"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.html#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.html#l01534">Descriptors.hpp:1534</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::LayerType::Concat</a></div><div class="ttdeci">@ Concat</div></div> |
| <div class="ttc" id="astructarmnn_1_1_pad_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html">armnn::PadDescriptor</a></div><div class="ttdoc">A PadDescriptor for the PadLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01196">Descriptors.hpp:1196</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.html">armnn::TransposeDescriptor</a></div><div class="ttdoc">A TransposeDescriptor for the TransposeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01490">Descriptors.hpp:1490</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a16543bce17aa2e4d6e81c88f74227192"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#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.html#l00651">Descriptors.hpp:651</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_a112b466e5d2ab9d1887178adbe3afa1c"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#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.html#l01613">Descriptors.hpp:1613</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_views_descriptor_html_a88d7c8ef4baba3690a4d25eec350ecb3"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.html#a88d7c8ef4baba3690a4d25eec350ecb3">armnn::ViewsDescriptor::GetOrigins</a></div><div class="ttdeci">const OriginsDescriptor & GetOrigins() const</div><div class="ttdoc">Get the View Origins.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00352">Descriptors.cpp:352</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_html_a3a04b0ccee4bb2f21721ee5045e83df4"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#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.html#l00755">Descriptors.hpp:755</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b8fc85ce966c035d789cf22db5088a1"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b8fc85ce966c035d789cf22db5088a1">armnn::TensorInfo::GetQuantizationDim</a></div><div class="ttdeci">Optional< unsigned int > GetQuantizationDim() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00498">Tensor.cpp:498</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::LayerType::TransposeConvolution2d</a></div><div class="ttdeci">@ TransposeConvolution2d</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::LayerType::Merge</a></div><div class="ttdeci">@ Merge</div></div> |
| <div class="ttc" id="astructarmnn_1_1_stack_descriptor_html_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html#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.html#l01273">Descriptors.hpp:1273</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_slice_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.html">armnn::SliceDescriptor</a></div><div class="ttdoc">A SliceDescriptor for the SliceLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01228">Descriptors.hpp:1228</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99">armnn::LayerType::StandIn</a></div><div class="ttdeci">@ StandIn</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a></div><div class="ttdeci">@ Softmax</div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_ae412d875ab8ff4d2fde2728ea25e49ba"><div class="ttname"><a href="namespacearmnn_serializer.html#ae412d875ab8ff4d2fde2728ea25e49ba">armnnSerializer::GetFlatBufferUnaryOperation</a></div><div class="ttdeci">armnnSerializer::UnaryOperation GetFlatBufferUnaryOperation(armnn::UnaryOperation unaryOperation)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.html#l00135">SerializerUtils.cpp:135</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_html_a5e078fd505aef7bccaa05c8058e096cc"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.html#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.html#l00865">Descriptors.hpp:865</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_html_a53c8a7f33a40e1e240256bcfcf41b101"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#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.html#l00753">Descriptors.hpp:753</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::ActivationFunction::Elu</a></div><div class="ttdeci">@ Elu</div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#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.html#l00582">Descriptors.hpp:582</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_aaf7828880989b4b9378d3e86aa6dc843"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#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.html#l01622">Descriptors.hpp:1622</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_reshape_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.html">armnn::ReshapeDescriptor</a></div><div class="ttdoc">A ReshapeDescriptor for the ReshapeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01023">Descriptors.hpp:1023</a></div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_ac813f02c91c348db92b5a40ecfa0135e"><div class="ttname"><a href="namespacearmnn_serializer.html#ac813f02c91c348db92b5a40ecfa0135e">armnnSerializer::GetFlatBufferNormalizationAlgorithmMethod</a></div><div class="ttdeci">armnnSerializer::NormalizationAlgorithmMethod GetFlatBufferNormalizationAlgorithmMethod(armnn::NormalizationAlgorithmMethod normalizationAlgorithmMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.html#l00227">SerializerUtils.cpp:227</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::LayerType::Quantize</a></div><div class="ttdeci">@ Quantize</div></div> |
| <div class="ttc" id="astructarmnn_1_1_pad_descriptor_html_a410fa919f78af0f0f100bd1594eca4ab"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html#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.html#l01221">Descriptors.hpp:1221</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a></div><div class="ttdeci">int LayerBindingId</div><div class="ttdoc">Type of identifiers for bindable layers (inputs, outputs).</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00309">Types.hpp:309</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">armnn::ActivationFunction::Linear</a></div><div class="ttdeci">@ Linear</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a75ca90884e15396a70b0cb722a877b4a"><div class="ttname"><a href="namespacearmnn.html#a75ca90884e15396a70b0cb722a877b4a">armnn::ScatterNdFunction</a></div><div class="ttdeci">ScatterNdFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00500">Types.hpp:500</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#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.html#l00694">Descriptors.hpp:694</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#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.html#l00629">Descriptors.hpp:629</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_activation_descriptor_html_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00059">Descriptors.hpp:59</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_normalization_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.html#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.html#l00805">Descriptors.hpp:805</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a></div><div class="ttdeci">@ Multiplication</div></div> |
| <div class="ttc" id="astructarmnn_1_1_permute_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.html">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00149">Descriptors.hpp:149</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html">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.html#l01584">Descriptors.hpp:1584</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_output_slot_html_ad0c3555b126975ad6b3e250fe2a59534"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#ad0c3555b126975ad6b3e250fe2a59534">armnn::IOutputSlot::GetOwningLayerGuid</a></div><div class="ttdeci">virtual LayerGuid GetOwningLayerGuid() const =0</div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_a6fcb1eefde815b0b7465a689c8d26b50"><div class="ttname"><a href="namespacearmnn_serializer.html#a6fcb1eefde815b0b7465a689c8d26b50">armnnSerializer::GetFlatBufferArgMinMaxFunction</a></div><div class="ttdeci">serializer::ArgMinMaxFunction GetFlatBufferArgMinMaxFunction(armnn::ArgMinMaxFunction function)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_8cpp_source.html#l00088">Serializer.cpp:88</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#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.html#l00643">Descriptors.hpp:643</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_adceb04ae84c524e4d01881e3754a4d59"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#adceb04ae84c524e4d01881e3754a4d59">armnn::IConnectableLayer::GetType</a></div><div class="ttdeci">virtual LayerType GetType() const =0</div><div class="ttdoc">Returns the armnn::LayerType of this layer.</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div><div class="ttdeci">@ Addition</div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#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.html#l00584">Descriptors.hpp:584</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_aa6a518b65088f34803b3214334bdff61"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#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.html#l01416">Descriptors.hpp:1416</a></div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_a30eb1e8d2a9b090243c4ededa17746b7"><div class="ttname"><a href="namespacearmnn_serializer.html#a30eb1e8d2a9b090243c4ededa17746b7">armnnSerializer::GetFlatBufferPaddingMethod</a></div><div class="ttdeci">armnnSerializer::PaddingMethod GetFlatBufferPaddingMethod(armnn::PaddingMethod paddingMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.html#l00188">SerializerUtils.cpp:188</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_gather_descriptor_html_a35d11c7d509d1adbae1ae01c58394a7f"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.html#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.html#l00981">Descriptors.hpp:981</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#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.html#l00641">Descriptors.hpp:641</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.html">armnn::SpaceToBatchNdDescriptor</a></div><div class="ttdoc">A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01043">Descriptors.hpp:1043</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#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.html#l00572">Descriptors.hpp:572</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html">armnn::Convolution3dDescriptor</a></div><div class="ttdoc">A Convolution3dDescriptor for the Convolution3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00588">Descriptors.hpp:588</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::LayerType::DepthToSpace</a></div><div class="ttdeci">@ DepthToSpace</div></div> |
| <div class="ttc" id="astructarmnn_1_1_reshape_descriptor_html_a1178f4dafdda81f59c15145ec327f7d9"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.html#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.html#l01039">Descriptors.hpp:1039</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a75ca90884e15396a70b0cb722a877b4aaec211f7c20af43e742bf2570c3cb84f9"><div class="ttname"><a href="namespacearmnn.html#a75ca90884e15396a70b0cb722a877b4aaec211f7c20af43e742bf2570c3cb84f9">armnn::ScatterNdFunction::Add</a></div><div class="ttdeci">@ Add</div></div> |
| <div class="ttc" id="astructarmnn_1_1_base_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.html">armnn::BaseDescriptor</a></div><div class="ttdoc">Base class for all descriptors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00022">Descriptors.hpp:22</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#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.html#l01479">Descriptors.hpp:1479</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html_ac37e49c0d6e6e54f9d2015d0f11f8ee7"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#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.html#l01353">Descriptors.hpp:1353</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_base_tensor_html_a8aeddebdcf02e1832b22203c08a6b678"><div class="ttname"><a href="classarmnn_1_1_base_tensor.html#a8aeddebdcf02e1832b22203c08a6b678">armnn::BaseTensor::GetInfo</a></div><div class="ttdeci">const TensorInfo & GetInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00297">Tensor.hpp:297</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#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.html#l00407">Descriptors.hpp:407</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_permute_descriptor_html_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.html#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.html#l00173">Descriptors.hpp:173</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00086">Types.hpp:86</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_stand_in_descriptor_html_abb8a2d2bb8cc594c26aaa70c820ac5cc"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.html#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.html#l01299">Descriptors.hpp:1299</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html_a83ca447892f460dabaa2f87d3dc3db61"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html#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.html#l00483">Descriptors.hpp:483</a></div></div> |
| <div class="ttc" id="a_serializer_utils_8hpp_html"><div class="ttname"><a href="_serializer_utils_8hpp.html">SerializerUtils.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_stack_descriptor_html_a2bea87b470268bb0b73457c3733dbc04"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html#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.html#l01277">Descriptors.hpp:1277</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a></div><div class="ttdeci">@ DetectionPostProcess</div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#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.html#l00574">Descriptors.hpp:574</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_aa43409f9b457352c95c89f20ce5d844d"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#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.html#l01432">Descriptors.hpp:1432</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a></div><div class="ttdeci">@ Pooling2d</div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#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.html#l00568">Descriptors.hpp:568</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00200">Tensor.hpp:200</a></div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_a2a4a81f69c4a84c4637c2e90e4e47968"><div class="ttname"><a href="namespacearmnn_serializer.html#a2a4a81f69c4a84c4637c2e90e4e47968">armnnSerializer::GetFlatBufferReduceOperation</a></div><div class="ttdeci">armnnSerializer::ReduceOperation GetFlatBufferReduceOperation(armnn::ReduceOperation reduceOperation)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.html#l00254">SerializerUtils.cpp:254</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_html_a7e2f87544b8bc7e497e1dec8d3ca4055"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#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.html#l00749">Descriptors.hpp:749</a></div></div> |
| <div class="ttc" id="a_types_8hpp_html_af22094b802160f09f7c89ad9eee10084"><div class="ttname"><a href="_types_8hpp.html#af22094b802160f09f7c89ad9eee10084">LayerGuid</a></div><div class="ttdeci">arm::pipe::ProfilingGuid LayerGuid</div><div class="ttdoc">Define LayerGuid type.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00026">Types.hpp:26</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::LayerType::Division</a></div><div class="ttdeci">@ Division</div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_html_aa61510cbd529870182e918ac6e8b9d72"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#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.html#l00765">Descriptors.hpp:765</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div><div class="ttdeci">@ Signed32</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">armnn::LayerType::Shape</a></div><div class="ttdeci">@ Shape</div></div> |
| <div class="ttc" id="astructarmnn_1_1_reduce_descriptor_html_a28e0548abfc4e79c48f29a3d11a062e9"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html#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.html#l01554">Descriptors.hpp:1554</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00875">Descriptors.hpp:875</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00534">Descriptors.hpp:534</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a></div><div class="ttdeci">@ Abs</div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#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.html#l00698">Descriptors.hpp:698</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_comparison_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.html">armnn::ComparisonDescriptor</a></div><div class="ttdoc">A ComparisonDescriptor for the ComparisonLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00089">Descriptors.hpp:89</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fill_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.html">armnn::FillDescriptor</a></div><div class="ttdoc">A FillDescriptor for the FillLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00925">Descriptors.hpp:925</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div><div class="ttdeci">@ QAsymmS8</div></div> |
| <div class="ttc" id="astructarmnn_1_1_comparison_descriptor_html_a865dc4f43cb0ff01a1dcf78036912fd1"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.html#a865dc4f43cb0ff01a1dcf78036912fd1">armnn::ComparisonDescriptor::m_Operation</a></div><div class="ttdeci">ComparisonOperation m_Operation</div><div class="ttdoc">Specifies the comparison operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00105">Descriptors.hpp:105</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html#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.html#l00477">Descriptors.hpp:477</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_elementwise_unary_descriptor_html_afe768be66897eb3d73284424e3239b23"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.html#afe768be66897eb3d73284424e3239b23">armnn::ElementwiseUnaryDescriptor::m_Operation</a></div><div class="ttdeci">UnaryOperation m_Operation</div><div class="ttdoc">Specifies the elementwiseUnary operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00145">Descriptors.hpp:145</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div><div class="ttdeci">@ Min</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div><div class="ttdeci">@ FullyConnected</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">armnn::LayerType::Gather</a></div><div class="ttdeci">@ Gather</div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html_a6d0384878432cfc9652b7ae8bc59506f"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#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.html#l01355">Descriptors.hpp:1355</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_stand_in_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.html">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.html#l01281">Descriptors.hpp:1281</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#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.html#l00419">Descriptors.hpp:419</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">armnn::LayerType::Pooling3d</a></div><div class="ttdeci">@ Pooling3d</div></div> |
| <div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_html_a6c6b8957f1e176867e5fb05b1a1a1486"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html#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 >= 1.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01092">Descriptors.hpp:1092</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_resize_descriptor_html_adcf5037208faac36c0788239a073f75c"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#adcf5037208faac36c0788239a073f75c">armnn::ResizeDescriptor::m_TargetWidth</a></div><div class="ttdeci">uint32_t m_TargetWidth</div><div class="ttdoc">Target width value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01007">Descriptors.hpp:1007</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LayerType::LogSoftmax</a></div><div class="ttdeci">@ LogSoftmax</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::LayerType::BatchMatMul</a></div><div class="ttdeci">@ BatchMatMul</div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html_a5699e8606c37d18c03910b242cd1b010"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html#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.html#l00489">Descriptors.hpp:489</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html_a0d53caff836b84204adbd1c28752a201"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#a0d53caff836b84204adbd1c28752a201">armnn::StridedSliceDescriptor::m_Stride</a></div><div class="ttdeci">std::vector< int > 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.html#l01346">Descriptors.hpp:1346</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div><div class="ttdeci">@ DepthwiseConvolution2d</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::LayerType::Cast</a></div><div class="ttdeci">@ Cast</div></div> |
| <div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.html#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.html#l00871">Descriptors.hpp:871</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a></div><div class="ttdeci">@ BatchToSpaceNd</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_permutation_vector_html_a490ec6b59006d1fe1ec2ea30e69fb97c"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">armnn::PermutationVector::GetSize</a></div><div class="ttdeci">SizeType GetSize() const</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00357">Types.hpp:357</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01102">Descriptors.hpp:1102</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html">armnn::StridedSliceDescriptor</a></div><div class="ttdoc">A StridedSliceDescriptor for the StridedSliceLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01303">Descriptors.hpp:1303</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b">armnn::LayerType::Switch</a></div><div class="ttdeci">@ Switch</div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_descriptor_html_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.html#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.html#l01514">Descriptors.hpp:1514</a></div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_ac2eceb2274af867d713fe44720fc2d4e"><div class="ttname"><a href="namespacearmnn_serializer.html#ac2eceb2274af867d713fe44720fc2d4e">armnnSerializer::GetFlatBufferPoolingAlgorithm</a></div><div class="ttdeci">armnnSerializer::PoolingAlgorithm GetFlatBufferPoolingAlgorithm(armnn::PoolingAlgorithm poolingAlgorithm)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.html#l00162">SerializerUtils.cpp:162</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html_a11d5c25face9b54e90f79ee8bdc1d0fb"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html#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.html#l00485">Descriptors.hpp:485</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_resize_descriptor_html_ae1a4b3b6c60552509b89747cebb900a2"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#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.html#l01016">Descriptors.hpp:1016</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_tile_descriptor_html_a4e66396e5ed6ede8d87dc75103645def"><div class="ttname"><a href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">armnn::TileDescriptor::m_Multiples</a></div><div class="ttdeci">std::vector< uint32_t > m_Multiples</div><div class="ttdoc">The vector to multiply the input shape by.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01656">Descriptors.hpp:1656</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_mean_descriptor_html_a1f0d67b087c491248bd1cde3ff995a95"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.html#a1f0d67b087c491248bd1cde3ff995a95">armnn::MeanDescriptor::m_Axis</a></div><div class="ttdeci">std::vector< unsigned int > m_Axis</div><div class="ttdoc">Values for the dimensions to reduce.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01190">Descriptors.hpp:1190</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::LstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable cifg (coupled input & forget gate).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01146">Descriptors.hpp:1146</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_logical_binary_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.html">armnn::LogicalBinaryDescriptor</a></div><div class="ttdoc">A LogicalBinaryDescriptor for the LogicalBinaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01518">Descriptors.hpp:1518</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_normalization_descriptor_html_a174279be57d7596eeb04c6b7f7510f99"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.html#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.html#l00799">Descriptors.hpp:799</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html#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.html#l00493">Descriptors.hpp:493</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_input_slot_html_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.html#a9943775a364fc4ab53b85ac88f311886">armnn::IInputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo & GetTensorInfo() const =0</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::LayerType::Reshape</a></div><div class="ttdeci">@ Reshape</div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html#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.html#l00475">Descriptors.hpp:475</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a4556cbd764d4848d8ad0637a9eed580d"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#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.html#l01434">Descriptors.hpp:1434</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#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.html#l00578">Descriptors.hpp:578</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_softmax_descriptor_html_a214c3636fdf0ea5bac8edb42d0e6c7f0"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.html#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.html#l00192">Descriptors.hpp:192</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a11d5c25face9b54e90f79ee8bdc1d0fb"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#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.html#l00639">Descriptors.hpp:639</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::LayerType::SpaceToBatchNd</a></div><div class="ttdeci">@ SpaceToBatchNd</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">armnn::LayerType::Fill</a></div><div class="ttdeci">@ Fill</div></div> |
| <div class="ttc" id="astructarmnn_1_1_reduce_descriptor_html_aa1c6fc8c96404252f1072632fc5acb59"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">armnn::ReduceDescriptor::m_vAxis</a></div><div class="ttdeci">std::vector< uint32_t > 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.html#l01556">Descriptors.hpp:1556</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pad_descriptor_html_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_PadList</div><div class="ttdoc">Specifies the padding for input dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01218">Descriptors.hpp:1218</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::LayerType::L2Normalization</a></div><div class="ttdeci">@ L2Normalization</div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#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.html#l01152">Descriptors.hpp:1152</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.html#l00014">IgnoreUnused.hpp:14</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#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.html#l01473">Descriptors.hpp:1473</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_views_descriptor_html_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">armnn::ViewsDescriptor::GetNumDimensions</a></div><div class="ttdeci">uint32_t GetNumDimensions() const</div><div class="ttdoc">Get the number of dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00307">Descriptors.cpp:307</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#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.html#l01471">Descriptors.hpp:1471</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::LayerType::Minimum</a></div><div class="ttdeci">@ Minimum</div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_aa5f62540b7f991c1522cf9c43fc005ee"><div class="ttname"><a href="namespacearmnn_serializer.html#aa5f62540b7f991c1522cf9c43fc005ee">armnnSerializer::GetFlatBufferOutputShapeRounding</a></div><div class="ttdeci">armnnSerializer::OutputShapeRounding GetFlatBufferOutputShapeRounding(armnn::OutputShapeRounding outputShapeRounding)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.html#l00176">SerializerUtils.cpp:176</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::QLstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable CIFG (coupled input & forget gate).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01418">Descriptors.hpp:1418</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_elementwise_binary_descriptor_html_a7e4ece533ef2cb0f251e11c47a17371c"><div class="ttname"><a href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">armnn::ElementwiseBinaryDescriptor::m_Operation</a></div><div class="ttdeci">BinaryOperation m_Operation</div><div class="ttdoc">Specifies the elementwiseBinary operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00125">Descriptors.hpp:125</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a75ca90884e15396a70b0cb722a877b4aa06933067aafd48425d67bcb01bba5cb6"><div class="ttname"><a href="namespacearmnn.html#a75ca90884e15396a70b0cb722a877b4aa06933067aafd48425d67bcb01bba5cb6">armnn::ScatterNdFunction::Update</a></div><div class="ttdeci">@ Update</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">armnn::LayerType::UnidirectionalSequenceLstm</a></div><div class="ttdeci">@ UnidirectionalSequenceLstm</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_output_slot_html_a41d30a9cd272e05986d71a69d6ad618b"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#a41d30a9cd272e05986d71a69d6ad618b">armnn::IOutputSlot::CalculateIndexOnOwner</a></div><div class="ttdeci">virtual unsigned int CalculateIndexOnOwner() const =0</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295">armnn::LayerType::ReverseV2</a></div><div class="ttdeci">@ ReverseV2</div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_a550a83250b3ddebf15d5c13c224e3609"><div class="ttname"><a href="namespacearmnn_serializer.html#a550a83250b3ddebf15d5c13c224e3609">armnnSerializer::ISerializerPtr</a></div><div class="ttdeci">std::unique_ptr< ISerializer, void(*)(ISerializer *serializer)> ISerializerPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_serializer_8hpp_source.html#l00015">ISerializer.hpp:15</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#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.html#l00649">Descriptors.hpp:649</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_origins_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00201">Descriptors.hpp:201</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a75ca90884e15396a70b0cb722a877b4aa6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.html#a75ca90884e15396a70b0cb722a877b4aa6a061313d22e51e0f25b7cd4dc065233">armnn::ScatterNdFunction::Max</a></div><div class="ttdeci">@ Max</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a></div><div class="ttdeci">@ ReLu</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_a80ac4eda2e7f2757ec9dd96fc96dbd16"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">armnn::IConnectableLayer::GetOutputSlot</a></div><div class="ttdeci">virtual const IOutputSlot & GetOutputSlot(unsigned int index) const =0</div><div class="ttdoc">Get the const output slot handle by slot index.</div></div> |
| <div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">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.html#l00006">01_00_quick_start.dox:6</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_elementwise_unary_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.html">armnn::ElementwiseUnaryDescriptor</a></div><div class="ttdoc">A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00129">Descriptors.hpp:129</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html">armnn::TransposeConvolution2dDescriptor</a></div><div class="ttdoc">A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01440">Descriptors.hpp:1440</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_a6ec9e0eb66d7d6a01240492a0b18104c"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">armnn::IConnectableLayer::GetInputSlot</a></div><div class="ttdeci">virtual const IInputSlot & GetInputSlot(unsigned int index) const =0</div><div class="ttdoc">Get a const input slot handle by slot index.</div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#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.html#l00653">Descriptors.hpp:653</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::LayerType::ArgMinMax</a></div><div class="ttdeci">@ ArgMinMax</div></div> |
| <div class="ttc" id="astructarmnn_1_1_arg_min_max_descriptor_html_a214c3636fdf0ea5bac8edb42d0e6c7f0"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.html#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.html#l00083">Descriptors.hpp:83</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_activation_descriptor_html_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#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.html#l00063">Descriptors.hpp:63</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::LayerType::Pad</a></div><div class="ttdeci">@ Pad</div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a5164336f6a1b15be0d434a6bbf7289da"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#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.html#l00645">Descriptors.hpp:645</a></div></div> |
| <div class="ttc" id="a_quantized_lstm_params_8hpp_html"><div class="ttname"><a href="_quantized_lstm_params_8hpp.html">QuantizedLstmParams.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_html_a7ed9bc7c26df67d274d5dd4cd83adf0f"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#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.html#l00757">Descriptors.hpp:757</a></div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_aa7f2df39a8ac495df172c6d473780dfb"><div class="ttname"><a href="namespacearmnn_serializer.html#aa7f2df39a8ac495df172c6d473780dfb">armnnSerializer::GetFlatBufferScatterNdFunction</a></div><div class="ttdeci">serializer::ScatterNdFunction GetFlatBufferScatterNdFunction(armnn::ScatterNdFunction function)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_8cpp_source.html#l00100">Serializer.cpp:100</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_scatter_nd_descriptor_html_a2beb2331d0aff8e24d17f16cca34784c"><div class="ttname"><a href="structarmnn_1_1_scatter_nd_descriptor.html#a2beb2331d0aff8e24d17f16cca34784c">armnn::ScatterNdDescriptor::m_Function</a></div><div class="ttdeci">ScatterNdFunction m_Function</div><div class="ttdoc">Specify if the function is update, add, sub, max or min.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01719">Descriptors.hpp:1719</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_views_descriptor_html_a35546e7b56e6e972a495b48748478ede"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.html#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.html#l00302">Descriptors.cpp:302</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_af8f724af7210b52529216feefa993c98"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#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.html#l01436">Descriptors.hpp:1436</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">armnn::LayerType::Rank</a></div><div class="ttdeci">@ Rank</div></div> |
| <div class="ttc" id="astructarmnn_1_1_normalization_descriptor_html_a8526ea7cf860d8e7f8340e9f9354f9f0"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.html#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.html#l00803">Descriptors.hpp:803</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">armnn::LayerType::Mean</a></div><div class="ttdeci">@ Mean</div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#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.html#l01150">Descriptors.hpp:1150</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html_aa68194dd6258ab5b04123005a066ea25"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#aa68194dd6258ab5b04123005a066ea25">armnn::StridedSliceDescriptor::m_End</a></div><div class="ttdeci">std::vector< int > 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.html#l01344">Descriptors.hpp:1344</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pad_descriptor_html_a66f2c989f51ab6116de4380390250b69"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html#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.html#l01224">Descriptors.hpp:1224</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00329">Tensor.hpp:329</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::ActivationFunction::Square</a></div><div class="ttdeci">@ Square</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00080">INetwork.hpp:80</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_input_slot_html"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.html">armnn::IInputSlot</a></div><div class="ttdoc">An input connection slot for a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00025">INetwork.hpp:25</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_affb5b68b3eba3ed45a06c7cde7781962"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#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.html#l00423">Descriptors.hpp:423</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div><div class="ttdeci">@ Input</div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#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.html#l01481">Descriptors.hpp:1481</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_ac81fb0e66dc623dc37c77f219f53a6d3"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#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.html#l01414">Descriptors.hpp:1414</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::LayerType::Resize</a></div><div class="ttdeci">@ Resize</div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html">armnn::DetectionPostProcessDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00713">Descriptors.hpp:713</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#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.html#l01424">Descriptors.hpp:1424</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_channel_shuffle_descriptor_html_a1953d00371489c32ebded5a42eabc0cf"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.html#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.html#l01578">Descriptors.hpp:1578</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#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.html#l00655">Descriptors.hpp:655</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_l2_normalization_descriptor_html_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.html#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.html#l00822">Descriptors.hpp:822</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_origins_descriptor_html_ab78e6fe963508c1ac5c00d04bb3361a3"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#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.html#l00197">Descriptors.cpp:197</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">armnn::DataType::Signed64</a></div><div class="ttdeci">@ Signed64</div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#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.html#l01483">Descriptors.hpp:1483</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div><div class="ttdeci">@ Convolution2d</div></div> |
| <div class="ttc" id="astructarmnn_1_1_slice_descriptor_html_ab52cabf19232290fa6b49828ba957ac0"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.html#ab52cabf19232290fa6b49828ba957ac0">armnn::SliceDescriptor::m_Size</a></div><div class="ttdeci">std::vector< unsigned int > 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.html#l01247">Descriptors.hpp:1247</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00371">Descriptors.hpp:371</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_ae1b07ed928036004bd257169e5aeeef4"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#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.html#l01140">Descriptors.hpp:1140</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html#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.html#l00902">Descriptors.hpp:902</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">armnn::LayerType::Maximum</a></div><div class="ttdeci">@ Maximum</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">armnn::TensorInfo::GetQuantizationOffset</a></div><div class="ttdeci">int32_t GetQuantizationOffset() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00482">Tensor.cpp:482</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div><div class="ttdeci">@ Activation</div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00659">Descriptors.hpp:659</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">armnn::LayerType::Lstm</a></div><div class="ttdeci">@ Lstm</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::LayerType::Dequantize</a></div><div class="ttdeci">@ Dequantize</div></div> |
| <div class="ttc" id="astructarmnn_1_1_scatter_nd_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_scatter_nd_descriptor.html">armnn::ScatterNdDescriptor</a></div><div class="ttdoc">A ScatterNdDescriptor for the ScatterNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01679">Descriptors.hpp:1679</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::LayerType::Convolution3d</a></div><div class="ttdeci">@ Convolution3d</div></div> |
| <div class="ttc" id="astructarmnn_1_1_reduce_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html">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.html#l01538">Descriptors.hpp:1538</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#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.html#l00704">Descriptors.hpp:704</a></div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_a3f9e0ff7f7311d76ca36101721503a07"><div class="ttname"><a href="namespacearmnn_serializer.html#a3f9e0ff7f7311d76ca36101721503a07">armnnSerializer::GetFlatBufferPaddingMode</a></div><div class="ttdeci">armnnSerializer::PaddingMode GetFlatBufferPaddingMode(armnn::PaddingMode paddingMode)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.html#l00200">SerializerUtils.cpp:200</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_normalization_descriptor_html_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.html#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.html#l00841">Descriptors.hpp:841</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a531a3907ec13d3772370da88030191a5"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#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.html#l01142">Descriptors.hpp:1142</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html_acc978b36fd5d949bc781d7638e6e08b9"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html#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.html#l00491">Descriptors.hpp:491</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a5a212540c00931bd2a4b4041beda33ae"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a5a212540c00931bd2a4b4041beda33ae">armnn::TensorShape::GetDimensionality</a></div><div class="ttdeci">Dimensionality GetDimensionality() const</div><div class="ttdoc">Function that returns the tensor type.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00092">Tensor.hpp:92</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00491">Types.hpp:491</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html_a7c91eda2b331d607bae92cd8ebf50bb9"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#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.html#l01360">Descriptors.hpp:1360</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_mean_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.html">armnn::MeanDescriptor</a></div><div class="ttdoc">A MeanDescriptor for the MeanLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01172">Descriptors.hpp:1172</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#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.html#l01420">Descriptors.hpp:1420</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::LayerType::QLstm</a></div><div class="ttdeci">@ QLstm</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optional_reference_switch_html_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch::value</a></div><div class="ttdeci">const T & value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00146">Optional.hpp:146</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_tile_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_tile_descriptor.html">armnn::TileDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01640">Descriptors.hpp:1640</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_softmax_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.html">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00177">Descriptors.hpp:177</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_a0031997bf43bd2747656c31e4977793a"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#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.html#l00405">Descriptors.hpp:405</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_html_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.html#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.html#l00869">Descriptors.hpp:869</a></div></div> |
| <div class="ttc" id="anamespacearmnn_serializer_html_a3078a3b577bbd2aa0b133d4732b8e645"><div class="ttname"><a href="namespacearmnn_serializer.html#a3078a3b577bbd2aa0b133d4732b8e645">armnnSerializer::GetFlatBufferLogicalBinaryOperation</a></div><div class="ttdeci">armnnSerializer::LogicalBinaryOperation GetFlatBufferLogicalBinaryOperation(armnn::LogicalBinaryOperation logicalBinaryOperation)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.html#l00031">SerializerUtils.cpp:31</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01075">Descriptors.hpp:1075</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div><div class="ttdeci">@ Output</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div> |
| <div class="ttc" id="astructarmnn_1_1_views_descriptor_html_ab78e6fe963508c1ac5c00d04bb3361a3"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.html#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.html#l00312">Descriptors.cpp:312</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a></div><div class="ttdeci">@ Sigmoid</div></div> |
| <div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html#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.html#l01095">Descriptors.hpp:1095</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html"><div class="ttname"><a href="classarmnn_1_1_i_network.html">armnn::INetwork</a></div><div class="ttdoc">Main network class which provides the interface for building up a neural network.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00347">INetwork.hpp:347</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#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.html#l00700">Descriptors.hpp:700</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#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.html#l00696">Descriptors.hpp:696</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_input_slot_html_a81fbf6103761e55061b62ba989b00f10"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.html#a81fbf6103761e55061b62ba989b00f10">armnn::IInputSlot::GetConnection</a></div><div class="ttdeci">virtual const IOutputSlot * GetConnection() const =0</div></div> |
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