Ryan OShea | de36e4a | 2020-03-13 16:26:19 +0000 | [diff] [blame] | 1 | <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> |
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| 87 | <a href="_layers_fwd_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> </div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_internal_types_8hpp.html">InternalTypes.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_activation_layer_8hpp.html">layers/ActivationLayer.hpp</a>"</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include "<a class="code" href="_addition_layer_8hpp.html">layers/AdditionLayer.hpp</a>"</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "<a class="code" href="_arg_min_max_layer_8hpp.html">layers/ArgMinMaxLayer.hpp</a>"</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include "<a class="code" href="_batch_normalization_layer_8hpp.html">layers/BatchNormalizationLayer.hpp</a>"</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include "<a class="code" href="_batch_to_space_nd_layer_8hpp.html">layers/BatchToSpaceNdLayer.hpp</a>"</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include "<a class="code" href="_comparison_layer_8hpp.html">layers/ComparisonLayer.hpp</a>"</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include "<a class="code" href="_concat_layer_8hpp.html">layers/ConcatLayer.hpp</a>"</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include "<a class="code" href="_constant_layer_8hpp.html">layers/ConstantLayer.hpp</a>"</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include "<a class="code" href="_convert_fp16_to_fp32_layer_8hpp.html">layers/ConvertFp16ToFp32Layer.hpp</a>"</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include "<a class="code" href="_convert_fp32_to_fp16_layer_8hpp.html">layers/ConvertFp32ToFp16Layer.hpp</a>"</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include "<a class="code" href="_convolution2d_layer_8hpp.html">layers/Convolution2dLayer.hpp</a>"</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include "<a class="code" href="_debug_layer_8hpp.html">layers/DebugLayer.hpp</a>"</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include "<a class="code" href="_depth_to_space_layer_8hpp.html">layers/DepthToSpaceLayer.hpp</a>"</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include "<a class="code" href="_depthwise_convolution2d_layer_8hpp.html">layers/DepthwiseConvolution2dLayer.hpp</a>"</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include "<a class="code" href="_dequantize_layer_8hpp.html">layers/DequantizeLayer.hpp</a>"</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="_detection_post_process_layer_8hpp.html">layers/DetectionPostProcessLayer.hpp</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="_division_layer_8hpp.html">layers/DivisionLayer.hpp</a>"</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="_elementwise_unary_layer_8hpp.html">layers/ElementwiseUnaryLayer.hpp</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_fake_quantization_layer_8hpp.html">layers/FakeQuantizationLayer.hpp</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_floor_layer_8hpp.html">layers/FloorLayer.hpp</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_fully_connected_layer_8hpp.html">layers/FullyConnectedLayer.hpp</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_gather_layer_8hpp.html">layers/GatherLayer.hpp</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_input_layer_8hpp.html">layers/InputLayer.hpp</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_instance_normalization_layer_8hpp.html">layers/InstanceNormalizationLayer.hpp</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="_l2_normalization_layer_8hpp.html">layers/L2NormalizationLayer.hpp</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="_log_softmax_layer_8hpp.html">layers/LogSoftmaxLayer.hpp</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="_lstm_layer_8hpp.html">layers/LstmLayer.hpp</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="_maximum_layer_8hpp.html">layers/MaximumLayer.hpp</a>"</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="_mean_layer_8hpp.html">layers/MeanLayer.hpp</a>"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include "<a class="code" href="_mem_copy_layer_8hpp.html">layers/MemCopyLayer.hpp</a>"</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include "<a class="code" href="_mem_import_layer_8hpp.html">layers/MemImportLayer.hpp</a>"</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include "<a class="code" href="_merge_layer_8hpp.html">layers/MergeLayer.hpp</a>"</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include "<a class="code" href="_minimum_layer_8hpp.html">layers/MinimumLayer.hpp</a>"</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include "<a class="code" href="_multiplication_layer_8hpp.html">layers/MultiplicationLayer.hpp</a>"</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#include "<a class="code" href="_normalization_layer_8hpp.html">layers/NormalizationLayer.hpp</a>"</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="preprocessor">#include "<a class="code" href="_output_layer_8hpp.html">layers/OutputLayer.hpp</a>"</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="preprocessor">#include "<a class="code" href="_pad_layer_8hpp.html">layers/PadLayer.hpp</a>"</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="preprocessor">#include "<a class="code" href="_permute_layer_8hpp.html">layers/PermuteLayer.hpp</a>"</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor">#include "<a class="code" href="_pooling2d_layer_8hpp.html">layers/Pooling2dLayer.hpp</a>"</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="preprocessor">#include "<a class="code" href="_pre_compiled_layer_8hpp.html">layers/PreCompiledLayer.hpp</a>"</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="preprocessor">#include "<a class="code" href="_prelu_layer_8hpp.html">layers/PreluLayer.hpp</a>"</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor">#include "<a class="code" href="_quantize_layer_8hpp.html">layers/QuantizeLayer.hpp</a>"</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor">#include "<a class="code" href="_quantized_lstm_layer_8hpp.html">layers/QuantizedLstmLayer.hpp</a>"</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="preprocessor">#include "<a class="code" href="_reshape_layer_8hpp.html">layers/ReshapeLayer.hpp</a>"</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="preprocessor">#include "<a class="code" href="_resize_layer_8hpp.html">layers/ResizeLayer.hpp</a>"</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="preprocessor">#include "<a class="code" href="_slice_layer_8hpp.html">layers/SliceLayer.hpp</a>"</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="preprocessor">#include "<a class="code" href="_softmax_layer_8hpp.html">layers/SoftmaxLayer.hpp</a>"</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="preprocessor">#include "<a class="code" href="_space_to_batch_nd_layer_8hpp.html">layers/SpaceToBatchNdLayer.hpp</a>"</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="preprocessor">#include "<a class="code" href="_space_to_depth_layer_8hpp.html">layers/SpaceToDepthLayer.hpp</a>"</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="preprocessor">#include "<a class="code" href="_splitter_layer_8hpp.html">layers/SplitterLayer.hpp</a>"</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor">#include "<a class="code" href="_stack_layer_8hpp.html">layers/StackLayer.hpp</a>"</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="preprocessor">#include "<a class="code" href="_stand_in_layer_8hpp.html">layers/StandInLayer.hpp</a>"</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="preprocessor">#include "<a class="code" href="_strided_slice_layer_8hpp.html">layers/StridedSliceLayer.hpp</a>"</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="preprocessor">#include "<a class="code" href="_subtraction_layer_8hpp.html">layers/SubtractionLayer.hpp</a>"</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="preprocessor">#include "<a class="code" href="_switch_layer_8hpp.html">layers/SwitchLayer.hpp</a>"</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="preprocessor">#include "<a class="code" href="_transpose_convolution2d_layer_8hpp.html">layers/TransposeConvolution2dLayer.hpp</a>"</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="keyword">template</span> <LayerType Type></div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="structarmnn_1_1_layer_type_of_impl.html"> 70</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_layer_type_of_impl.html">LayerTypeOfImpl</a>;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="keyword">template</span> <LayerType Type></div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a6b5db6cc9aad8ec0ac7b14f859aacdab"> 73</a></span> <span class="keyword">using</span> <a class="code" href="namespacearmnn.html#a6b5db6cc9aad8ec0ac7b14f859aacdab">LayerTypeOf</a> = <span class="keyword">typename</span> <a class="code" href="structarmnn_1_1_layer_type_of_impl.html">LayerTypeOfImpl<Type>::Type</a>;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> constexpr <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> <a class="code" href="namespacearmnn.html#ac4fb1513cf6f4f3f40ab3d6559ec4067">LayerEnumOf</a>(<span class="keyword">const</span> T* = <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"><a class="line" href="_layers_fwd_8hpp.html#aa4c29d874deb128391826e87b8bb0ff6"> 78</a></span> <span class="preprocessor">#define DECLARE_LAYER_IMPL(_, LayerName) \</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="preprocessor"> class LayerName##Layer; \</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="preprocessor"> template <> \</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="preprocessor"> struct LayerTypeOfImpl<LayerType::_##LayerName> \</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="preprocessor"> { \</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="preprocessor"> using Type = LayerName##Layer; \</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="preprocessor"> }; \</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="preprocessor"> template <> \</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="preprocessor"> constexpr LayerType LayerEnumOf(const LayerName##Layer*) \</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="preprocessor"> { \</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="preprocessor"> return LayerType::_##LayerName; \</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="preprocessor"> }</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1"> 91</a></span> <span class="preprocessor">#define DECLARE_LAYER(LayerName) DECLARE_LAYER_IMPL(, LayerName)</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="namespacearmnn.html#afb1e69829289fb07cc349c0884f27abd"> 93</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#a7636fbbc4f8ea2d0cf9f3ac2d12a4c62">Activation</a>)</div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="namespacearmnn.html#acc630e11a5baa28ad5723568a7a60109"> 94</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Addition)</div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a324e860c347972fce7a1c07531bed06e"> 95</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#a374120de442fe42c26536bb4f1e2a5a1">ArgMinMax</a>)</div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ae22db3ab5196edbb2e4e5244adc512e3"> 96</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(BatchNormalization)</div><div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a87ffe3fb58ec36989d343e53e23fb0f8"> 97</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#a8746512fab5ec10c2c57800c66311ba7">BatchToSpaceNd</a>)</div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a43b8024cb70c07116be132ca28b12a21"> 98</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Comparison)</div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a300c356944bb1e9d2dff6191d1c3501c"> 99</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Concat)</div><div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a307007c2249288fe158bfdfaf9e1c413"> 100</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Constant)</div><div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a4471d39d8390fc550c1f8688639e66f5"> 101</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(ConvertFp16ToFp32)</div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="namespacearmnn.html#af8df06bed5f1257864645e45948afa5c"> 102</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(ConvertFp32ToFp16)</div><div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ab2f52d0c728933e36f581a07676d9fe9"> 103</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Convolution2d)</div><div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ad596268fcd03c87a4b6fde86f4732546"> 104</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#a5aae369ef847a00062925cea8e9be9c4">Debug</a>)</div><div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a939154289f544a02baec0735b27b8894"> 105</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#ab023d9a7687e35c0f108458a094c1f56">DepthToSpace</a>)</div><div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a26a46c27bca08b5bd26abba341f1d795"> 106</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(DepthwiseConvolution2d)</div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a95e2d190d7483017b4f4841dd07776e5"> 107</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#a855293b1be0581fb61ef6a1c5b027d0f">Dequantize</a>)</div><div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a22772d461066f995cd72d13066b0f46d"> 108</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#ae76ce23fa9fc18e56448d52b37dd3f32">DetectionPostProcess</a>)</div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a955b1001b8c57c60ce443a1e31468f20"> 109</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Division)</div><div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a72f7601d11f32c8d9ccb49a80fcf662a"> 110</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(ElementwiseUnary)</div><div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a4acae0cdcdfab8e941af5c4e42e58cb3"> 111</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#ab3c0b7e1a78b1b98c24934221f36a7c3">FakeQuantization</a>)</div><div class="line"><a name="l00112"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a575f5487e62465b6b9edbc447a26f32f"> 112</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Floor)</div><div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="namespacearmnn.html#aa689e4a3aa77e9d9e5851f566c5eb8b3"> 113</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#ad34d1d5b1ca8f52dc296ecf52ba20c8a">FullyConnected</a>)</div><div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a548fb17a9bff172e751ae4bd3add62b5"> 114</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#a66004b2326f8ccb1faa71d5efa186633">Gather</a>)</div><div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="namespacearmnn.html#adef1c8c63daa9d348a29e74eac33a054"> 115</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Input)</div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a57bcf309be7adcc91001834979f87bde"> 116</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(InstanceNormalization)</div><div class="line"><a name="l00117"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a36f16b97bcb662caaa4eae24ea16cccf"> 117</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(L2Normalization)</div><div class="line"><a name="l00118"></a><span class="lineno"><a class="line" href="namespacearmnn.html#afb6f9bd4f43118749a0336074bed7b35"> 118</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#ac52e04c0e349e25bcdaa72c27395ef8f">LogSoftmax</a>)</div><div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a0d08fb555c6d1cba705fd73b71797a28"> 119</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Lstm)</div><div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a6b231c8a547d4030d9a4a1618810c20b"> 120</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Maximum)</div><div class="line"><a name="l00121"></a><span class="lineno"><a class="line" href="namespacearmnn.html#af079ba32db74f53aba1ad19193cd2a4b"> 121</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#a165ae372a7f67cad64ef3395d30122ce">Mean</a>)</div><div class="line"><a name="l00122"></a><span class="lineno"><a class="line" href="namespacearmnn.html#aa17969606f64ea581c28431f2395e653"> 122</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(MemCopy)</div><div class="line"><a name="l00123"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a70f3d83f6d1e3918eab895c8083058fa"> 123</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(MemImport)</div><div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a9e8199bdc39f928f694591a41d7aa0c0"> 124</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Merge)</div><div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ad32a13408ace1c1fa520ed64a2cbe70f"> 125</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Minimum)</div><div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a40f1546c0fa69f318eeab4b29cc64b70"> 126</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Multiplication)</div><div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a140713619ee498a149854a5376b8d072"> 127</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Normalization)</div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a7a6e68f66d1d3819640b0f2d46a55fd1"> 128</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Output)</div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ab6f1994db909dcc399cb1f8bc50c2d3d"> 129</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#a28e115f5d28500324b53fae9e6c00b77">Pad</a>)</div><div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a1e6b17606926b8f69dbeda7f7ff1df95"> 130</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn_utils.html#af3c74017185773dd61d8ca6662d65d43">Permute</a>)</div><div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ade84059b48b38da3a233bed287864c5b"> 131</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#ae2e93e304cf516841c521e3eaee025cd">Pooling2d</a>)</div><div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a6e5eaa19ff232f11daa9a1c6caccf7fe"> 132</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(PreCompiled)</div><div class="line"><a name="l00133"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a58a5defa35b12773a97760efadffef4f"> 133</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Prelu)</div><div class="line"><a name="l00134"></a><span class="lineno"><a class="line" href="namespacearmnn.html#aaaaf64c0888ab25bfae770bd4c2ec34b"> 134</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#ad773a034fb9983e15f3094b4c5c7c30c">Quantize</a>)</div><div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a31bcd6f755df954a4d7b020a09499105"> 135</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(QuantizedLstm)</div><div class="line"><a name="l00136"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a6a17f58da2071720e3003a56a092aab3"> 136</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Reshape)</div><div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="namespacearmnn.html#aafc370ea363f0565c3a8bced1e37c79e"> 137</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#a25dc224be48103343302b5a6fd588fe7">Resize</a>)</div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a3cbbb4e00618b072ace46751e660a295"> 138</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#a044ea0cc993d4d1fbe4ec877b17b8d39">Slice</a>)</div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="namespacearmnn.html#af6af4b51e08d3e811620811ab5e0cd2d"> 139</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#aa999ff2585ad75b95954a9323f63c32b">Softmax</a>)</div><div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ac2d31ced5505a9d05287f5b71d25e34a"> 140</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#a4a180e425d4c19b2cdea4ce5760180e1">SpaceToBatchNd</a>)</div><div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a81c31de4f532a95ab85ed6d999029332"> 141</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#a5e1dc69443b64ad16b669388a6023f7a">SpaceToDepth</a>)</div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a24d3abbfc1ed81df673452c7148aa0cc"> 142</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#a427c3d26d05b518b1ace407035f5920e">Splitter</a>)</div><div class="line"><a name="l00143"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ab676aab9119d1417764849099a099ecf"> 143</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#a6ef2dcac2ec0683d52df1b051404e7d6">Stack</a>)</div><div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a1b5ff142f1d4420a8d83d9bcff1bfff4"> 144</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(StandIn)</div><div class="line"><a name="l00145"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ad640080ff4ea3e4f9ff05823e32ce15f"> 145</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(<a class="code" href="namespacearmnn.html#a86d7a7168ac00b75b4971f9aad623698">StridedSlice</a>)</div><div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a9cc235c8c5e2ef3d2788cd558d676b0a"> 146</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Subtraction)</div><div class="line"><a name="l00147"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a110b9fdf7f17a1d065cd59ebc4bb76f7"> 147</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(Switch)</div><div class="line"><a name="l00148"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a60af5a86cf0261d0bdf4312736ab4461"> 148</a></span> <a class="code" href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a>(TransposeConvolution2d)</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> }</div><div class="ttc" id="namespacearmnn_html_a8746512fab5ec10c2c57800c66311ba7"><div class="ttname"><a href="namespacearmnn.html#a8746512fab5ec10c2c57800c66311ba7">armnn::BatchToSpaceNd</a></div><div class="ttdeci">void BatchToSpaceNd(const DataLayoutIndexed &dataLayout, const TensorInfo &inputTensorInfo, const TensorInfo &outputTensorInfo, const std::vector< unsigned int > &blockShape, const std::vector< std::pair< unsigned int, unsigned int >> &cropsData, Decoder< float > &inputDecoder, Encoder< float > &outputEncoder)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_batch_to_space_n_d_8cpp_source.html#l00035">BatchToSpaceNd.cpp:35</a></div></div> |
| 88 | <div class="ttc" id="_pad_layer_8hpp_html"><div class="ttname"><a href="_pad_layer_8hpp.html">PadLayer.hpp</a></div></div> |
| 89 | <div class="ttc" id="_convert_fp32_to_fp16_layer_8hpp_html"><div class="ttname"><a href="_convert_fp32_to_fp16_layer_8hpp.html">ConvertFp32ToFp16Layer.hpp</a></div></div> |
| 90 | <div class="ttc" id="namespacearmnn_html_ae2e93e304cf516841c521e3eaee025cd"><div class="ttname"><a href="namespacearmnn.html#ae2e93e304cf516841c521e3eaee025cd">armnn::Pooling2d</a></div><div class="ttdeci">void Pooling2d(Decoder< float > &rInputDecoder, Encoder< float > &rOutputEncoder, const TensorInfo &inputInfo, const TensorInfo &outputInfo, const Pooling2dDescriptor &params)</div><div class="ttdoc">Computes the Pooling2d operation. </div><div class="ttdef"><b>Definition:</b> <a href="_pooling2d_8cpp_source.html#l00143">Pooling2d.cpp:143</a></div></div> |
| 91 | <div class="ttc" id="namespacearmnn_utils_html_af3c74017185773dd61d8ca6662d65d43"><div class="ttname"><a href="namespacearmnn_utils.html#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a></div><div class="ttdeci">void Permute(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.html#l00121">Permute.cpp:121</a></div></div> |
| 92 | <div class="ttc" id="namespacearmnn_html_ab3c0b7e1a78b1b98c24934221f36a7c3"><div class="ttname"><a href="namespacearmnn.html#ab3c0b7e1a78b1b98c24934221f36a7c3">armnn::FakeQuantization</a></div><div class="ttdeci">void FakeQuantization(const float *inputData, float *outputData, uint32_t numElements, float min, float max)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_fake_quantization_float32_workload_8cpp_source.html#l00017">RefFakeQuantizationFloat32Workload.cpp:17</a></div></div> |
| 93 | <div class="ttc" id="_floor_layer_8hpp_html"><div class="ttname"><a href="_floor_layer_8hpp.html">FloorLayer.hpp</a></div></div> |
| 94 | <div class="ttc" id="_activation_layer_8hpp_html"><div class="ttname"><a href="_activation_layer_8hpp.html">ActivationLayer.hpp</a></div></div> |
| 95 | <div class="ttc" id="_normalization_layer_8hpp_html"><div class="ttname"><a href="_normalization_layer_8hpp.html">NormalizationLayer.hpp</a></div></div> |
| 96 | <div class="ttc" id="_layers_fwd_8hpp_html_a463a20a2d0283b17eb95358102c8c9e1"><div class="ttname"><a href="_layers_fwd_8hpp.html#a463a20a2d0283b17eb95358102c8c9e1">DECLARE_LAYER</a></div><div class="ttdeci">#define DECLARE_LAYER(LayerName)</div><div class="ttdef"><b>Definition:</b> <a href="_layers_fwd_8hpp_source.html#l00091">LayersFwd.hpp:91</a></div></div> |
| 97 | <div class="ttc" id="namespacearmnn_html_a5aae369ef847a00062925cea8e9be9c4"><div class="ttname"><a href="namespacearmnn.html#a5aae369ef847a00062925cea8e9be9c4">armnn::Debug</a></div><div class="ttdeci">void Debug(const TensorInfo &inputInfo, const T *inputData, LayerGuid guid, const std::string &layerName, unsigned int slotIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_debug_8cpp_source.html#l00019">Debug.cpp:19</a></div></div> |
| 98 | <div class="ttc" id="_splitter_layer_8hpp_html"><div class="ttname"><a href="_splitter_layer_8hpp.html">SplitterLayer.hpp</a></div></div> |
| 99 | <div class="ttc" id="_input_layer_8hpp_html"><div class="ttname"><a href="_input_layer_8hpp.html">InputLayer.hpp</a></div></div> |
| 100 | <div class="ttc" id="_space_to_batch_nd_layer_8hpp_html"><div class="ttname"><a href="_space_to_batch_nd_layer_8hpp.html">SpaceToBatchNdLayer.hpp</a></div></div> |
| 101 | <div class="ttc" id="namespacearmnn_html_ae76ce23fa9fc18e56448d52b37dd3f32"><div class="ttname"><a href="namespacearmnn.html#ae76ce23fa9fc18e56448d52b37dd3f32">armnn::DetectionPostProcess</a></div><div class="ttdeci">void DetectionPostProcess(const TensorInfo &boxEncodingsInfo, const TensorInfo &scoresInfo, const TensorInfo &anchorsInfo, const TensorInfo &detectionBoxesInfo, const TensorInfo &detectionClassesInfo, const TensorInfo &detectionScoresInfo, const TensorInfo &numDetectionsInfo, const DetectionPostProcessDescriptor &desc, Decoder< float > &boxEncodings, Decoder< float > &scores, Decoder< float > &anchors, float *detectionBoxes, float *detectionClasses, float *detectionScores, float *numDetections)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_detection_post_process_8cpp_source.html#l00141">DetectionPostProcess.cpp:141</a></div></div> |
| 102 | <div class="ttc" id="namespacearmnn_html_ad773a034fb9983e15f3094b4c5c7c30c"><div class="ttname"><a href="namespacearmnn.html#ad773a034fb9983e15f3094b4c5c7c30c">armnn::Quantize</a></div><div class="ttdeci">QuantizedType Quantize(float value, float scale, int32_t offset)</div><div class="ttdoc">Explicit specialization of Quantize for int8_t. </div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.html#l00031">TypesUtils.cpp:31</a></div></div> |
| 103 | <div class="ttc" id="_arg_min_max_layer_8hpp_html"><div class="ttname"><a href="_arg_min_max_layer_8hpp.html">ArgMinMaxLayer.hpp</a></div></div> |
| 104 | <div class="ttc" id="_lstm_layer_8hpp_html"><div class="ttname"><a href="_lstm_layer_8hpp.html">LstmLayer.hpp</a></div></div> |
| 105 | <div class="ttc" id="_depth_to_space_layer_8hpp_html"><div class="ttname"><a href="_depth_to_space_layer_8hpp.html">DepthToSpaceLayer.hpp</a></div></div> |
| 106 | <div class="ttc" id="_dequantize_layer_8hpp_html"><div class="ttname"><a href="_dequantize_layer_8hpp.html">DequantizeLayer.hpp</a></div></div> |
| 107 | <div class="ttc" id="namespacearmnn_html_a4a180e425d4c19b2cdea4ce5760180e1"><div class="ttname"><a href="namespacearmnn.html#a4a180e425d4c19b2cdea4ce5760180e1">armnn::SpaceToBatchNd</a></div><div class="ttdeci">void SpaceToBatchNd(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const SpaceToBatchNdDescriptor &params, Decoder< float > &inputData, Encoder< float > &outputData)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_space_to_batch_n_d_8cpp_source.html#l00034">SpaceToBatchNd.cpp:34</a></div></div> |
| 108 | <div class="ttc" id="namespacearmnn_html_a66004b2326f8ccb1faa71d5efa186633"><div class="ttname"><a href="namespacearmnn.html#a66004b2326f8ccb1faa71d5efa186633">armnn::Gather</a></div><div class="ttdeci">void Gather(const TensorInfo &paramsInfo, const TensorInfo &indicesInfo, const TensorInfo &outputInfo, Decoder< float > &params, const int32_t *indices, Encoder< float > &output)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_gather_8cpp_source.html#l00018">Gather.cpp:18</a></div></div> |
| 109 | <div class="ttc" id="_prelu_layer_8hpp_html"><div class="ttname"><a href="_prelu_layer_8hpp.html">PreluLayer.hpp</a></div></div> |
| 110 | <div class="ttc" id="_comparison_layer_8hpp_html"><div class="ttname"><a href="_comparison_layer_8hpp.html">ComparisonLayer.hpp</a></div></div> |
| 111 | <div class="ttc" id="_addition_layer_8hpp_html"><div class="ttname"><a href="_addition_layer_8hpp.html">AdditionLayer.hpp</a></div></div> |
| 112 | <div class="ttc" id="namespacearmnn_html_a6b5db6cc9aad8ec0ac7b14f859aacdab"><div class="ttname"><a href="namespacearmnn.html#a6b5db6cc9aad8ec0ac7b14f859aacdab">armnn::LayerTypeOf</a></div><div class="ttdeci">typename LayerTypeOfImpl< Type >::Type LayerTypeOf</div><div class="ttdef"><b>Definition:</b> <a href="_layers_fwd_8hpp_source.html#l00073">LayersFwd.hpp:73</a></div></div> |
| 113 | <div class="ttc" id="_slice_layer_8hpp_html"><div class="ttname"><a href="_slice_layer_8hpp.html">SliceLayer.hpp</a></div></div> |
| 114 | <div class="ttc" id="namespacearmnn_html_a855293b1be0581fb61ef6a1c5b027d0f"><div class="ttname"><a href="namespacearmnn.html#a855293b1be0581fb61ef6a1c5b027d0f">armnn::Dequantize</a></div><div class="ttdeci">float Dequantize(QuantizedType value, float scale, int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.html#l00047">TypesUtils.cpp:47</a></div></div> |
| 115 | <div class="ttc" id="_log_softmax_layer_8hpp_html"><div class="ttname"><a href="_log_softmax_layer_8hpp.html">LogSoftmaxLayer.hpp</a></div></div> |
| 116 | <div class="ttc" id="_space_to_depth_layer_8hpp_html"><div class="ttname"><a href="_space_to_depth_layer_8hpp.html">SpaceToDepthLayer.hpp</a></div></div> |
| 117 | <div class="ttc" id="_strided_slice_layer_8hpp_html"><div class="ttname"><a href="_strided_slice_layer_8hpp.html">StridedSliceLayer.hpp</a></div></div> |
| 118 | <div class="ttc" id="_concat_layer_8hpp_html"><div class="ttname"><a href="_concat_layer_8hpp.html">ConcatLayer.hpp</a></div></div> |
| 119 | <div class="ttc" id="_subtraction_layer_8hpp_html"><div class="ttname"><a href="_subtraction_layer_8hpp.html">SubtractionLayer.hpp</a></div></div> |
| 120 | <div class="ttc" id="_reshape_layer_8hpp_html"><div class="ttname"><a href="_reshape_layer_8hpp.html">ReshapeLayer.hpp</a></div></div> |
| 121 | <div class="ttc" id="_fully_connected_layer_8hpp_html"><div class="ttname"><a href="_fully_connected_layer_8hpp.html">FullyConnectedLayer.hpp</a></div></div> |
| 122 | <div class="ttc" id="_transpose_convolution2d_layer_8hpp_html"><div class="ttname"><a href="_transpose_convolution2d_layer_8hpp.html">TransposeConvolution2dLayer.hpp</a></div></div> |
| 123 | <div class="ttc" id="namespacearmnn_html_aa999ff2585ad75b95954a9323f63c32b"><div class="ttname"><a href="namespacearmnn.html#aa999ff2585ad75b95954a9323f63c32b">armnn::Softmax</a></div><div class="ttdeci">void Softmax(Decoder< float > &in, Encoder< float > &out, const TensorInfo &inputTensorInfo, float beta, int axis)</div><div class="ttdoc">Computes the softmax function on some inputs, into outputs, with a shape given by tensorInfo...</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_softmax_8cpp_source.html#l00017">Softmax.cpp:17</a></div></div> |
| 124 | <div class="ttc" id="_merge_layer_8hpp_html"><div class="ttname"><a href="_merge_layer_8hpp.html">MergeLayer.hpp</a></div></div> |
| 125 | <div class="ttc" id="namespacearmnn_html_a28e115f5d28500324b53fae9e6c00b77"><div class="ttname"><a href="namespacearmnn.html#a28e115f5d28500324b53fae9e6c00b77">armnn::Pad</a></div><div class="ttdeci">void Pad(const TensorInfo &inputInfo, const TensorInfo &outputInfo, std::vector< std::pair< unsigned int, unsigned int >> m_padList, const T *inputData, T *outData, const float padValue)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_pad_8cpp_source.html#l00022">Pad.cpp:22</a></div></div> |
| 126 | <div class="ttc" id="_gather_layer_8hpp_html"><div class="ttname"><a href="_gather_layer_8hpp.html">GatherLayer.hpp</a></div></div> |
| 127 | <div class="ttc" id="_mean_layer_8hpp_html"><div class="ttname"><a href="_mean_layer_8hpp.html">MeanLayer.hpp</a></div></div> |
| 128 | <div class="ttc" id="_mem_copy_layer_8hpp_html"><div class="ttname"><a href="_mem_copy_layer_8hpp.html">MemCopyLayer.hpp</a></div></div> |
| 129 | <div class="ttc" id="_pre_compiled_layer_8hpp_html"><div class="ttname"><a href="_pre_compiled_layer_8hpp.html">PreCompiledLayer.hpp</a></div></div> |
| 130 | <div class="ttc" id="_division_layer_8hpp_html"><div class="ttname"><a href="_division_layer_8hpp.html">DivisionLayer.hpp</a></div></div> |
| 131 | <div class="ttc" id="namespacearmnn_html_a374120de442fe42c26536bb4f1e2a5a1"><div class="ttname"><a href="namespacearmnn.html#a374120de442fe42c26536bb4f1e2a5a1">armnn::ArgMinMax</a></div><div class="ttdeci">void ArgMinMax(Decoder< float > &in, int32_t *out, const TensorInfo &inputTensorInfo, const TensorInfo &outputTensorInfo, ArgMinMaxFunction function, int axis)</div><div class="ttdef"><b>Definition:</b> <a href="_arg_min_max_8cpp_source.html#l00015">ArgMinMax.cpp:15</a></div></div> |
| 132 | <div class="ttc" id="namespacearmnn_html_a165ae372a7f67cad64ef3395d30122ce"><div class="ttname"><a href="namespacearmnn.html#a165ae372a7f67cad64ef3395d30122ce">armnn::Mean</a></div><div class="ttdeci">void Mean(const armnn::TensorInfo &inputInfo, const armnn::TensorInfo &outputInfo, const std::vector< unsigned int > &axis, Decoder< float > &input, Encoder< float > &output)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_mean_8cpp_source.html#l00071">Mean.cpp:71</a></div></div> |
| 133 | <div class="ttc" id="_debug_layer_8hpp_html"><div class="ttname"><a href="_debug_layer_8hpp.html">DebugLayer.hpp</a></div></div> |
| 134 | <div class="ttc" id="_minimum_layer_8hpp_html"><div class="ttname"><a href="_minimum_layer_8hpp.html">MinimumLayer.hpp</a></div></div> |
| 135 | <div class="ttc" id="namespacearmnn_html_ad34d1d5b1ca8f52dc296ecf52ba20c8a"><div class="ttname"><a href="namespacearmnn.html#ad34d1d5b1ca8f52dc296ecf52ba20c8a">armnn::FullyConnected</a></div><div class="ttdeci">void FullyConnected(const TensorShape &rInputShape, Decoder< float > &rInputDecoder, const TensorShape &rOutputShape, Encoder< float > &rOutputEncoder, Decoder< float > &rWeightDecoder, Decoder< float > &rBiasDecoder, const bool biasEnabled, const unsigned int K, const bool transposeWeights)</div><div class="ttdoc">Performs a matrix multiplication and optionally adds a bias. </div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_fully_connected_8cpp_source.html#l00015">FullyConnected.cpp:15</a></div></div> |
| 136 | <div class="ttc" id="_stack_layer_8hpp_html"><div class="ttname"><a href="_stack_layer_8hpp.html">StackLayer.hpp</a></div></div> |
| 137 | <div class="ttc" id="_fake_quantization_layer_8hpp_html"><div class="ttname"><a href="_fake_quantization_layer_8hpp.html">FakeQuantizationLayer.hpp</a></div></div> |
| 138 | <div class="ttc" id="_softmax_layer_8hpp_html"><div class="ttname"><a href="_softmax_layer_8hpp.html">SoftmaxLayer.hpp</a></div></div> |
| 139 | <div class="ttc" id="namespacearmnn_html_a86d7a7168ac00b75b4971f9aad623698"><div class="ttname"><a href="namespacearmnn.html#a86d7a7168ac00b75b4971f9aad623698">armnn::StridedSlice</a></div><div class="ttdeci">void StridedSlice(const TensorInfo &inputInfo, const StridedSliceDescriptor &params, const void *inputData, void *outputData, unsigned int dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_strided_slice_8cpp_source.html#l00090">StridedSlice.cpp:90</a></div></div> |
| 140 | <div class="ttc" id="namespacearmnn_html_a044ea0cc993d4d1fbe4ec877b17b8d39"><div class="ttname"><a href="namespacearmnn.html#a044ea0cc993d4d1fbe4ec877b17b8d39">armnn::Slice</a></div><div class="ttdeci">void Slice(const TensorInfo &inputInfo, const SliceDescriptor &descriptor, const void *inputData, void *outputData, unsigned int dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_slice_8cpp_source.html#l00015">Slice.cpp:15</a></div></div> |
| 141 | <div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div> |
| 142 | <div class="ttc" id="namespacearmnn_html_a5e1dc69443b64ad16b669388a6023f7a"><div class="ttname"><a href="namespacearmnn.html#a5e1dc69443b64ad16b669388a6023f7a">armnn::SpaceToDepth</a></div><div class="ttdeci">void SpaceToDepth(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const SpaceToDepthDescriptor &params, Decoder< float > &inputData, Encoder< float > &outputData)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_depth_8cpp_source.html#l00036">SpaceToDepth.cpp:36</a></div></div> |
| 143 | <div class="ttc" id="_quantized_lstm_layer_8hpp_html"><div class="ttname"><a href="_quantized_lstm_layer_8hpp.html">QuantizedLstmLayer.hpp</a></div></div> |
| 144 | <div class="ttc" id="namespacearmnn_html_a427c3d26d05b518b1ace407035f5920e"><div class="ttname"><a href="namespacearmnn.html#a427c3d26d05b518b1ace407035f5920e">armnn::Splitter</a></div><div class="ttdeci">void Splitter(const SplitterQueueDescriptor &data)</div><div class="ttdef"><b>Definition:</b> <a href="_splitter_8hpp_source.html#l00017">Splitter.hpp:17</a></div></div> |
| 145 | <div class="ttc" id="_resize_layer_8hpp_html"><div class="ttname"><a href="_resize_layer_8hpp.html">ResizeLayer.hpp</a></div></div> |
| 146 | <div class="ttc" id="_output_layer_8hpp_html"><div class="ttname"><a href="_output_layer_8hpp.html">OutputLayer.hpp</a></div></div> |
| 147 | <div class="ttc" id="structarmnn_1_1_layer_type_of_impl_html"><div class="ttname"><a href="structarmnn_1_1_layer_type_of_impl.html">armnn::LayerTypeOfImpl</a></div><div class="ttdef"><b>Definition:</b> <a href="_layers_fwd_8hpp_source.html#l00070">LayersFwd.hpp:70</a></div></div> |
| 148 | <div class="ttc" id="_pooling2d_layer_8hpp_html"><div class="ttname"><a href="_pooling2d_layer_8hpp.html">Pooling2dLayer.hpp</a></div></div> |
| 149 | <div class="ttc" id="_permute_layer_8hpp_html"><div class="ttname"><a href="_permute_layer_8hpp.html">PermuteLayer.hpp</a></div></div> |
| 150 | <div class="ttc" id="_quantize_layer_8hpp_html"><div class="ttname"><a href="_quantize_layer_8hpp.html">QuantizeLayer.hpp</a></div></div> |
| 151 | <div class="ttc" id="_instance_normalization_layer_8hpp_html"><div class="ttname"><a href="_instance_normalization_layer_8hpp.html">InstanceNormalizationLayer.hpp</a></div></div> |
| 152 | <div class="ttc" id="_constant_layer_8hpp_html"><div class="ttname"><a href="_constant_layer_8hpp.html">ConstantLayer.hpp</a></div></div> |
| 153 | <div class="ttc" id="_switch_layer_8hpp_html"><div class="ttname"><a href="_switch_layer_8hpp.html">SwitchLayer.hpp</a></div></div> |
| 154 | <div class="ttc" id="_l2_normalization_layer_8hpp_html"><div class="ttname"><a href="_l2_normalization_layer_8hpp.html">L2NormalizationLayer.hpp</a></div></div> |
| 155 | <div class="ttc" id="_convert_fp16_to_fp32_layer_8hpp_html"><div class="ttname"><a href="_convert_fp16_to_fp32_layer_8hpp.html">ConvertFp16ToFp32Layer.hpp</a></div></div> |
| 156 | <div class="ttc" id="namespacearmnn_html_a25dc224be48103343302b5a6fd588fe7"><div class="ttname"><a href="namespacearmnn.html#a25dc224be48103343302b5a6fd588fe7">armnn::Resize</a></div><div class="ttdeci">void Resize(Decoder< float > &in, const TensorInfo &inputInfo, Encoder< float > &out, const TensorInfo &outputInfo, DataLayoutIndexed dataLayout, armnn::ResizeMethod resizeMethod, bool alignCorners)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_8cpp_source.html#l00035">Resize.cpp:35</a></div></div> |
| 157 | <div class="ttc" id="namespacearmnn_html_a7636fbbc4f8ea2d0cf9f3ac2d12a4c62"><div class="ttname"><a href="namespacearmnn.html#a7636fbbc4f8ea2d0cf9f3ac2d12a4c62">armnn::Activation</a></div><div class="ttdeci">float Activation(float in, ActivationFunction function, float a, float b)</div><div class="ttdef"><b>Definition:</b> <a href="_activation_8cpp_source.html#l00012">Activation.cpp:12</a></div></div> |
| 158 | <div class="ttc" id="_depthwise_convolution2d_layer_8hpp_html"><div class="ttname"><a href="_depthwise_convolution2d_layer_8hpp.html">DepthwiseConvolution2dLayer.hpp</a></div></div> |
| 159 | <div class="ttc" id="namespacearmnn_html_a6ef2dcac2ec0683d52df1b051404e7d6"><div class="ttname"><a href="namespacearmnn.html#a6ef2dcac2ec0683d52df1b051404e7d6">armnn::Stack</a></div><div class="ttdeci">void Stack(const StackQueueDescriptor &data, std::vector< std::unique_ptr< Decoder< float >>> &inputs, Encoder< float > &output)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_stack_8cpp_source.html#l00012">Stack.cpp:12</a></div></div> |
| 160 | <div class="ttc" id="_maximum_layer_8hpp_html"><div class="ttname"><a href="_maximum_layer_8hpp.html">MaximumLayer.hpp</a></div></div> |
| 161 | <div class="ttc" id="_batch_to_space_nd_layer_8hpp_html"><div class="ttname"><a href="_batch_to_space_nd_layer_8hpp.html">BatchToSpaceNdLayer.hpp</a></div></div> |
| 162 | <div class="ttc" id="_elementwise_unary_layer_8hpp_html"><div class="ttname"><a href="_elementwise_unary_layer_8hpp.html">ElementwiseUnaryLayer.hpp</a></div></div> |
| 163 | <div class="ttc" id="_mem_import_layer_8hpp_html"><div class="ttname"><a href="_mem_import_layer_8hpp.html">MemImportLayer.hpp</a></div></div> |
| 164 | <div class="ttc" id="namespacearmnn_html_ab023d9a7687e35c0f108458a094c1f56"><div class="ttname"><a href="namespacearmnn.html#ab023d9a7687e35c0f108458a094c1f56">armnn::DepthToSpace</a></div><div class="ttdeci">void DepthToSpace(const TensorInfo &inputInfo, const DepthToSpaceDescriptor &descriptor, const void *inputData, void *outputData, unsigned int dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="_depth_to_space_8cpp_source.html#l00018">DepthToSpace.cpp:18</a></div></div> |
| 165 | <div class="ttc" id="_multiplication_layer_8hpp_html"><div class="ttname"><a href="_multiplication_layer_8hpp.html">MultiplicationLayer.hpp</a></div></div> |
| 166 | <div class="ttc" id="_stand_in_layer_8hpp_html"><div class="ttname"><a href="_stand_in_layer_8hpp.html">StandInLayer.hpp</a></div></div> |
| 167 | <div class="ttc" id="namespacearmnn_html_ac4fb1513cf6f4f3f40ab3d6559ec4067"><div class="ttname"><a href="namespacearmnn.html#ac4fb1513cf6f4f3f40ab3d6559ec4067">armnn::LayerEnumOf</a></div><div class="ttdeci">constexpr LayerType LayerEnumOf(const T *=nullptr)</div></div> |
| 168 | <div class="ttc" id="_detection_post_process_layer_8hpp_html"><div class="ttname"><a href="_detection_post_process_layer_8hpp.html">DetectionPostProcessLayer.hpp</a></div></div> |
| 169 | <div class="ttc" id="namespacearmnn_html_ac52e04c0e349e25bcdaa72c27395ef8f"><div class="ttname"><a href="namespacearmnn.html#ac52e04c0e349e25bcdaa72c27395ef8f">armnn::LogSoftmax</a></div><div class="ttdeci">void LogSoftmax(Decoder< float > &input, Encoder< float > &output, const TensorInfo &inputInfo, const LogSoftmaxDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_8cpp_source.html#l00030">LogSoftmax.cpp:30</a></div></div> |
| 170 | <div class="ttc" id="namespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.html#l00014">InternalTypes.hpp:14</a></div></div> |
| 171 | <div class="ttc" id="_convolution2d_layer_8hpp_html"><div class="ttname"><a href="_convolution2d_layer_8hpp.html">Convolution2dLayer.hpp</a></div></div> |
| 172 | <div class="ttc" id="_batch_normalization_layer_8hpp_html"><div class="ttname"><a href="_batch_normalization_layer_8hpp.html">BatchNormalizationLayer.hpp</a></div></div> |
| 173 | <div class="ttc" id="_internal_types_8hpp_html"><div class="ttname"><a href="_internal_types_8hpp.html">InternalTypes.hpp</a></div></div> |
| 174 | </div><!-- fragment --></div><!-- contents --> |
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| 180 | <li class="footer">Generated on Fri Mar 13 2020 16:06:54 for ArmNN by |
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| 182 | <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> |
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