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<div class="title">InternalTypes.hpp</div>  </div>
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<a href="_internal_types_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;</div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_types_8hpp.xhtml">armnn/Types.hpp</a>&gt;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &lt;array&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment">/// This list uses X macro technique.</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment">/// See https://en.wikipedia.org/wiki/X_Macro for more info</span></div><div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="_internal_types_8hpp.xhtml#ac6d0779b576215649c2610ef2bd1903f">   14</a></span>&#160;<span class="comment"></span><span class="preprocessor">#define LIST_OF_LAYER_TYPE \</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">    X(Activation) \</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">    X(Addition) \</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">    X(ArgMinMax) \</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="preprocessor">    X(BatchNormalization) \</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="preprocessor">    X(BatchToSpaceNd) \</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="preprocessor">    X(Comparison) \</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="preprocessor">    X(Concat) \</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="preprocessor">    X(Constant) \</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="preprocessor">    X(ConvertBf16ToFp32) \</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">    X(ConvertFp16ToFp32) \</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">    X(ConvertFp32ToBf16) \</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">    X(ConvertFp32ToFp16) \</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">    X(Convolution2d) \</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">    X(Debug) \</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">    X(DepthToSpace) \</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">    X(DepthwiseConvolution2d) \</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">    X(Dequantize) \</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">    X(DetectionPostProcess) \</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">    X(Division) \</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">    X(ElementwiseUnary) \</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">    X(FakeQuantization) \</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor">    X(Floor) \</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">    X(FullyConnected) \</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">    X(Gather) \</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="preprocessor">    X(Input) \</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="preprocessor">    X(InstanceNormalization) \</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="preprocessor">    X(L2Normalization) \</span></div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="preprocessor">    X(LogSoftmax) \</span></div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="preprocessor">    X(Lstm) \</span></div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="preprocessor">    X(QLstm) \</span></div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="preprocessor">    X(Maximum) \</span></div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="preprocessor">    X(Mean) \</span></div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;<span class="preprocessor">    X(MemCopy) \</span></div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="preprocessor">    X(MemImport) \</span></div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;<span class="preprocessor">    X(Merge) \</span></div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="preprocessor">    X(Minimum) \</span></div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="preprocessor">    X(Multiplication) \</span></div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="preprocessor">    X(Normalization) \</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="preprocessor">    X(Output) \</span></div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="preprocessor">    X(Pad) \</span></div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;<span class="preprocessor">    X(Permute) \</span></div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="preprocessor">    X(Pooling2d) \</span></div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="preprocessor">    X(PreCompiled) \</span></div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;<span class="preprocessor">    X(Prelu) \</span></div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="preprocessor">    X(Quantize) \</span></div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;<span class="preprocessor">    X(QuantizedLstm) \</span></div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;<span class="preprocessor">    X(Reshape) \</span></div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<span class="preprocessor">    X(Resize) \</span></div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="preprocessor">    X(Slice) \</span></div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="preprocessor">    X(Softmax) \</span></div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;<span class="preprocessor">    X(SpaceToBatchNd) \</span></div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;<span class="preprocessor">    X(SpaceToDepth) \</span></div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;<span class="preprocessor">    X(Splitter) \</span></div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;<span class="preprocessor">    X(Stack) \</span></div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;<span class="preprocessor">    X(StandIn) \</span></div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;<span class="preprocessor">    X(StridedSlice) \</span></div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;<span class="preprocessor">    X(Subtraction) \</span></div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;<span class="preprocessor">    X(Switch) \</span></div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="preprocessor">    X(Transpose) \</span></div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;<span class="preprocessor">    X(TransposeConvolution2d)</span></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="comment">/// When adding a new layer, adapt also the LastLayer enum value in the</span></div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;<span class="comment">/// enum class LayerType below</span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="comment"></span><span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;{</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">   81</a></span>&#160;<span class="keyword">enum class</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;{</div><div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="_internal_types_8hpp.xhtml#a826edd40636cbaa44266b97c8c6a4fa3">   83</a></span>&#160;<span class="preprocessor">#define X(name) name,</span></div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;  <a class="code" href="_internal_types_8hpp.xhtml#ac6d0779b576215649c2610ef2bd1903f">LIST_OF_LAYER_TYPE</a></div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="preprocessor">#undef X</span></div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;  <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae66a93a31fb93839c8369265cd44695c">FirstLayer</a> = <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">Activation</a>,</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;  <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a33cae35d37c1b558ecd35dd5e37dd80f">LastLayer</a> = <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">TransposeConvolution2d</a></div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;};</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;<span class="keyword">const</span> <span class="keywordtype">char</span>* <a class="code" href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">GetLayerTypeAsCString</a>(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type);</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ac6e86c1def7f674d3c4cb7f577874aa6">   92</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearmnn.xhtml#ac6e86c1def7f674d3c4cb7f577874aa6">Coordinates</a> = std::array&lt;unsigned int, MaxNumOfTensorDimensions&gt;;</div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a293695a94110c1a0eb77e29c22dce79a">   93</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearmnn.xhtml#a293695a94110c1a0eb77e29c22dce79a">Dimensions</a>  = std::array&lt;unsigned int, MaxNumOfTensorDimensions&gt;;</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::LayerType::TransposeConvolution2d</a></div></div>
<div class="ttc" id="_internal_types_8hpp_xhtml_ac6d0779b576215649c2610ef2bd1903f"><div class="ttname"><a href="_internal_types_8hpp.xhtml#ac6d0779b576215649c2610ef2bd1903f">LIST_OF_LAYER_TYPE</a></div><div class="ttdeci">#define LIST_OF_LAYER_TYPE</div><div class="ttdoc">This list uses X macro technique. </div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.xhtml#l00014">InternalTypes.hpp:14</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ac6e86c1def7f674d3c4cb7f577874aa6"><div class="ttname"><a href="namespacearmnn.xhtml#ac6e86c1def7f674d3c4cb7f577874aa6">armnn::Coordinates</a></div><div class="ttdeci">std::array&lt; unsigned int, MaxNumOfTensorDimensions &gt; Coordinates</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.xhtml#l00092">InternalTypes.hpp:92</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a9da573d7a1fc03726fd41f2130cbcf92"><div class="ttname"><a href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">armnn::GetLayerTypeAsCString</a></div><div class="ttdeci">char const  * GetLayerTypeAsCString(LayerType type)</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8cpp_source.xhtml#l00013">InternalTypes.cpp:13</a></div></div>
<div class="ttc" id="_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a293695a94110c1a0eb77e29c22dce79a"><div class="ttname"><a href="namespacearmnn.xhtml#a293695a94110c1a0eb77e29c22dce79a">armnn::Dimensions</a></div><div class="ttdeci">std::array&lt; unsigned int, MaxNumOfTensorDimensions &gt; Dimensions</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.xhtml#l00093">InternalTypes.hpp:93</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ae66a93a31fb93839c8369265cd44695c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae66a93a31fb93839c8369265cd44695c">armnn::LayerType::FirstLayer</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a33cae35d37c1b558ecd35dd5e37dd80f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a33cae35d37c1b558ecd35dd5e37dd80f">armnn::LayerType::LastLayer</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.xhtml#l00081">InternalTypes.hpp:81</a></div></div>
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