Ryan OShea | de36e4a | 2020-03-13 16:26:19 +0000 | [diff] [blame] | 1 | <!-- Copyright (c) 2020 ARM Limited. --> |
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| 14 | <title>ArmNN: IConnectableLayer Class Reference</title> |
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| 46 |  <span id="projectnumber">20.02</span> |
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| 95 | |
| 96 | <div class="header"> |
| 97 | <div class="summary"> |
| 98 | <a href="#pub-methods">Public Member Functions</a> | |
| 99 | <a href="#pro-methods">Protected Member Functions</a> | |
| 100 | <a href="classarmnn_1_1_i_connectable_layer-members.xhtml">List of all members</a> </div> |
| 101 | <div class="headertitle"> |
| 102 | <div class="title">IConnectableLayer Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div> </div> |
| 103 | </div><!--header--> |
| 104 | <div class="contents"> |
| 105 | |
| 106 | <p>Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. |
| 107 | <a href="classarmnn_1_1_i_connectable_layer.xhtml#details">More...</a></p> |
| 108 | |
| 109 | <p><code>#include <<a class="el" href="_i_network_8hpp_source.xhtml">INetwork.hpp</a>></code></p> |
| 110 | <div class="dynheader"> |
| 111 | Inheritance diagram for IConnectableLayer:</div> |
| 112 | <div class="dyncontent"> |
| 113 | <div class="center"> |
| 114 | <img src="classarmnn_1_1_i_connectable_layer.png" usemap="#IConnectableLayer_map" alt=""/> |
| 115 | <map id="IConnectableLayer_map" name="IConnectableLayer_map"> |
| 116 | <area href="classarmnn_1_1_layer.xhtml" alt="Layer" shape="rect" coords="0,56,356,80"/> |
| 117 | <area href="classarmnn_1_1_abs_layer.xhtml" alt="AbsLayer" shape="rect" coords="366,112,722,136"/> |
| 118 | <area href="classarmnn_1_1_bindable_layer.xhtml" alt="BindableLayer" shape="rect" coords="366,168,722,192"/> |
| 119 | <area href="classarmnn_1_1_constant_layer.xhtml" title="A layer that the constant data can be bound to. " alt="ConstantLayer" shape="rect" coords="366,224,722,248"/> |
| 120 | <area href="classarmnn_1_1_convert_fp16_to_fp32_layer.xhtml" title="This layer converts data type Float 16 to Float 32. " alt="ConvertFp16ToFp32Layer" shape="rect" coords="366,280,722,304"/> |
| 121 | <area href="classarmnn_1_1_convert_fp32_to_fp16_layer.xhtml" title="This layer converts data type Float 32 to Float 16. " alt="ConvertFp32ToFp16Layer" shape="rect" coords="366,336,722,360"/> |
| 122 | <area href="classarmnn_1_1_debug_layer.xhtml" title="This layer visualizes the data flowing through the network. " alt="DebugLayer" shape="rect" coords="366,392,722,416"/> |
| 123 | <area href="classarmnn_1_1_dequantize_layer.xhtml" title="This layer dequantizes the input tensor. " alt="DequantizeLayer" shape="rect" coords="366,448,722,472"/> |
| 124 | <area href="classarmnn_1_1_elementwise_base_layer.xhtml" title="NOTE: this is an abstract class to encapsulate the element wise operations, it does not implement: st..." alt="ElementwiseBaseLayer" shape="rect" coords="366,504,722,528"/> |
| 125 | <area href="classarmnn_1_1_floor_layer.xhtml" title="This layer represents a floor operation. " alt="FloorLayer" shape="rect" coords="366,560,722,584"/> |
| 126 | <area href="classarmnn_1_1_gather_layer.xhtml" title="This layer represents a Gather operator. " alt="GatherLayer" shape="rect" coords="366,616,722,640"/> |
| 127 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< Parameters >" shape="rect" coords="366,672,722,696"/> |
| 128 | <area href="classarmnn_1_1_mem_copy_layer.xhtml" title="This layer represents a memory copy operation. " alt="MemCopyLayer" shape="rect" coords="366,728,722,752"/> |
| 129 | <area href="classarmnn_1_1_mem_import_layer.xhtml" title="This layer represents a memory import operation. " alt="MemImportLayer" shape="rect" coords="366,784,722,808"/> |
| 130 | <area href="classarmnn_1_1_merge_layer.xhtml" title="This layer dequantizes the input tensor. " alt="MergeLayer" shape="rect" coords="366,840,722,864"/> |
| 131 | <area href="classarmnn_1_1_prelu_layer.xhtml" alt="PreluLayer" shape="rect" coords="366,896,722,920"/> |
| 132 | <area href="classarmnn_1_1_quantized_lstm_layer.xhtml" title="This layer represents a QuantizedLstm operation. " alt="QuantizedLstmLayer" shape="rect" coords="366,952,722,976"/> |
| 133 | <area href="classarmnn_1_1_quantize_layer.xhtml" alt="QuantizeLayer" shape="rect" coords="366,1008,722,1032"/> |
| 134 | <area href="classarmnn_1_1_rsqrt_layer.xhtml" alt="RsqrtLayer" shape="rect" coords="366,1064,722,1088"/> |
| 135 | <area href="classarmnn_1_1_switch_layer.xhtml" title="This layer calculates both true and false outputs for input. " alt="SwitchLayer" shape="rect" coords="366,1120,722,1144"/> |
| 136 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< ActivationDescriptor >" shape="rect" coords="366,1176,722,1200"/> |
| 137 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< ArgMinMaxDescriptor >" shape="rect" coords="366,1232,722,1256"/> |
| 138 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< BatchNormalizationDescriptor >" shape="rect" coords="366,1288,722,1312"/> |
| 139 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< BatchToSpaceNdDescriptor >" shape="rect" coords="366,1344,722,1368"/> |
| 140 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< ComparisonDescriptor >" shape="rect" coords="366,1400,722,1424"/> |
| 141 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< Convolution2dDescriptor >" shape="rect" coords="366,1456,722,1480"/> |
| 142 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< DepthToSpaceDescriptor >" shape="rect" coords="366,1512,722,1536"/> |
| 143 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< DepthwiseConvolution2dDescriptor >" shape="rect" coords="366,1568,722,1592"/> |
| 144 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< DetectionPostProcessDescriptor >" shape="rect" coords="366,1624,722,1648"/> |
| 145 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< ElementwiseUnaryDescriptor >" shape="rect" coords="366,1680,722,1704"/> |
| 146 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< FakeQuantizationDescriptor >" shape="rect" coords="366,1736,722,1760"/> |
| 147 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< FullyConnectedDescriptor >" shape="rect" coords="366,1792,722,1816"/> |
| 148 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< InstanceNormalizationDescriptor >" shape="rect" coords="366,1848,722,1872"/> |
| 149 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< L2NormalizationDescriptor >" shape="rect" coords="366,1904,722,1928"/> |
| 150 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< LogSoftmaxDescriptor >" shape="rect" coords="366,1960,722,1984"/> |
| 151 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< LstmDescriptor >" shape="rect" coords="366,2016,722,2040"/> |
| 152 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< MeanDescriptor >" shape="rect" coords="366,2072,722,2096"/> |
| 153 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< NormalizationDescriptor >" shape="rect" coords="366,2128,722,2152"/> |
| 154 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< OriginsDescriptor >" shape="rect" coords="366,2184,722,2208"/> |
| 155 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< PadDescriptor >" shape="rect" coords="366,2240,722,2264"/> |
| 156 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< PermuteDescriptor >" shape="rect" coords="366,2296,722,2320"/> |
| 157 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< Pooling2dDescriptor >" shape="rect" coords="366,2352,722,2376"/> |
| 158 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< PreCompiledDescriptor >" shape="rect" coords="366,2408,722,2432"/> |
| 159 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< ReshapeDescriptor >" shape="rect" coords="366,2464,722,2488"/> |
| 160 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< ResizeDescriptor >" shape="rect" coords="366,2520,722,2544"/> |
| 161 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< SliceDescriptor >" shape="rect" coords="366,2576,722,2600"/> |
| 162 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< SoftmaxDescriptor >" shape="rect" coords="366,2632,722,2656"/> |
| 163 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< SpaceToBatchNdDescriptor >" shape="rect" coords="366,2688,722,2712"/> |
| 164 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< SpaceToDepthDescriptor >" shape="rect" coords="366,2744,722,2768"/> |
| 165 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< StackDescriptor >" shape="rect" coords="366,2800,722,2824"/> |
| 166 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< StandInDescriptor >" shape="rect" coords="366,2856,722,2880"/> |
| 167 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< StridedSliceDescriptor >" shape="rect" coords="366,2912,722,2936"/> |
| 168 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< TransposeConvolution2dDescriptor >" shape="rect" coords="366,2968,722,2992"/> |
| 169 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< TransposeDescriptor >" shape="rect" coords="366,3024,722,3048"/> |
| 170 | <area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< ViewsDescriptor >" shape="rect" coords="366,3080,722,3104"/> |
| 171 | </map> |
| 172 | </div></div> |
| 173 | <table class="memberdecls"> |
| 174 | <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> |
| 175 | Public Member Functions</h2></td></tr> |
| 176 | <tr class="memitem:afcc1c3a20bd2860e0ddd21674389246f"><td class="memItemLeft" align="right" valign="top">virtual const char * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#afcc1c3a20bd2860e0ddd21674389246f">GetName</a> () const =0</td></tr> |
| 177 | <tr class="memdesc:afcc1c3a20bd2860e0ddd21674389246f"><td class="mdescLeft"> </td><td class="mdescRight">Returns the name of the layer. <a href="#afcc1c3a20bd2860e0ddd21674389246f">More...</a><br /></td></tr> |
| 178 | <tr class="separator:afcc1c3a20bd2860e0ddd21674389246f"><td class="memSeparator" colspan="2"> </td></tr> |
| 179 | <tr class="memitem:a9c2cba04b6d7ace4fc2a2436b82a5a63"><td class="memItemLeft" align="right" valign="top">virtual unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a> () const =0</td></tr> |
| 180 | <tr class="memdesc:a9c2cba04b6d7ace4fc2a2436b82a5a63"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of connectable input slots. <a href="#a9c2cba04b6d7ace4fc2a2436b82a5a63">More...</a><br /></td></tr> |
| 181 | <tr class="separator:a9c2cba04b6d7ace4fc2a2436b82a5a63"><td class="memSeparator" colspan="2"> </td></tr> |
| 182 | <tr class="memitem:ac2dac3b61c94de52093616be4ab17f8d"><td class="memItemLeft" align="right" valign="top">virtual unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a> () const =0</td></tr> |
| 183 | <tr class="memdesc:ac2dac3b61c94de52093616be4ab17f8d"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of connectable output slots. <a href="#ac2dac3b61c94de52093616be4ab17f8d">More...</a><br /></td></tr> |
| 184 | <tr class="separator:ac2dac3b61c94de52093616be4ab17f8d"><td class="memSeparator" colspan="2"> </td></tr> |
| 185 | <tr class="memitem:a6ec9e0eb66d7d6a01240492a0b18104c"><td class="memItemLeft" align="right" valign="top">virtual const <a class="el" href="classarmnn_1_1_i_input_slot.xhtml">IInputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a> (unsigned int index) const =0</td></tr> |
| 186 | <tr class="memdesc:a6ec9e0eb66d7d6a01240492a0b18104c"><td class="mdescLeft"> </td><td class="mdescRight">Get a const input slot handle by slot index. <a href="#a6ec9e0eb66d7d6a01240492a0b18104c">More...</a><br /></td></tr> |
| 187 | <tr class="separator:a6ec9e0eb66d7d6a01240492a0b18104c"><td class="memSeparator" colspan="2"> </td></tr> |
| 188 | <tr class="memitem:ae3fd4f909aec6a9e150ba82dfad4017f"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_i_input_slot.xhtml">IInputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#ae3fd4f909aec6a9e150ba82dfad4017f">GetInputSlot</a> (unsigned int index)=0</td></tr> |
| 189 | <tr class="memdesc:ae3fd4f909aec6a9e150ba82dfad4017f"><td class="mdescLeft"> </td><td class="mdescRight">Get the input slot handle by slot index. <a href="#ae3fd4f909aec6a9e150ba82dfad4017f">More...</a><br /></td></tr> |
| 190 | <tr class="separator:ae3fd4f909aec6a9e150ba82dfad4017f"><td class="memSeparator" colspan="2"> </td></tr> |
| 191 | <tr class="memitem:a80ac4eda2e7f2757ec9dd96fc96dbd16"><td class="memItemLeft" align="right" valign="top">virtual const <a class="el" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a> (unsigned int index) const =0</td></tr> |
| 192 | <tr class="memdesc:a80ac4eda2e7f2757ec9dd96fc96dbd16"><td class="mdescLeft"> </td><td class="mdescRight">Get the const output slot handle by slot index. <a href="#a80ac4eda2e7f2757ec9dd96fc96dbd16">More...</a><br /></td></tr> |
| 193 | <tr class="separator:a80ac4eda2e7f2757ec9dd96fc96dbd16"><td class="memSeparator" colspan="2"> </td></tr> |
| 194 | <tr class="memitem:a75bfde3503c1b21c397bb095f55db990"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a75bfde3503c1b21c397bb095f55db990">GetOutputSlot</a> (unsigned int index)=0</td></tr> |
| 195 | <tr class="memdesc:a75bfde3503c1b21c397bb095f55db990"><td class="mdescLeft"> </td><td class="mdescRight">Get the output slot handle by slot index. <a href="#a75bfde3503c1b21c397bb095f55db990">More...</a><br /></td></tr> |
| 196 | <tr class="separator:a75bfde3503c1b21c397bb095f55db990"><td class="memSeparator" colspan="2"> </td></tr> |
| 197 | <tr class="memitem:aa6e3c075c888e7c16942a468a3aae33c"><td class="memItemLeft" align="right" valign="top">virtual std::vector< <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#aa6e3c075c888e7c16942a468a3aae33c">InferOutputShapes</a> (const std::vector< <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> > &inputShapes) const =0</td></tr> |
| 198 | <tr class="memdesc:aa6e3c075c888e7c16942a468a3aae33c"><td class="mdescLeft"> </td><td class="mdescRight">Infer the shape of the output(s) based on the provided input shape(s) <a href="#aa6e3c075c888e7c16942a468a3aae33c">More...</a><br /></td></tr> |
| 199 | <tr class="separator:aa6e3c075c888e7c16942a468a3aae33c"><td class="memSeparator" colspan="2"> </td></tr> |
| 200 | <tr class="memitem:afb5e65c770f6cee222db8af7581541a6"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#afb5e65c770f6cee222db8af7581541a6">GetGuid</a> () const =0</td></tr> |
| 201 | <tr class="memdesc:afb5e65c770f6cee222db8af7581541a6"><td class="mdescLeft"> </td><td class="mdescRight">Returns the unique id of the layer. <a href="#afb5e65c770f6cee222db8af7581541a6">More...</a><br /></td></tr> |
| 202 | <tr class="separator:afb5e65c770f6cee222db8af7581541a6"><td class="memSeparator" colspan="2"> </td></tr> |
| 203 | <tr class="memitem:a8c9198a992b02e61a6777329d487dde3"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a8c9198a992b02e61a6777329d487dde3">Accept</a> (<a class="el" href="classarmnn_1_1_i_layer_visitor.xhtml">ILayerVisitor</a> &visitor) const =0</td></tr> |
| 204 | <tr class="memdesc:a8c9198a992b02e61a6777329d487dde3"><td class="mdescLeft"> </td><td class="mdescRight">Apply a visitor to this layer. <a href="#a8c9198a992b02e61a6777329d487dde3">More...</a><br /></td></tr> |
| 205 | <tr class="separator:a8c9198a992b02e61a6777329d487dde3"><td class="memSeparator" colspan="2"> </td></tr> |
| 206 | <tr class="memitem:a833170f92e96b3ef414b6cf6e5720d2b"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a833170f92e96b3ef414b6cf6e5720d2b">BackendSelectionHint</a> (<a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> > backend)=0</td></tr> |
| 207 | <tr class="memdesc:a833170f92e96b3ef414b6cf6e5720d2b"><td class="mdescLeft"> </td><td class="mdescRight">Provide a hint for the optimizer as to which backend to prefer for this layer. <a href="#a833170f92e96b3ef414b6cf6e5720d2b">More...</a><br /></td></tr> |
| 208 | <tr class="separator:a833170f92e96b3ef414b6cf6e5720d2b"><td class="memSeparator" colspan="2"> </td></tr> |
| 209 | </table><table class="memberdecls"> |
| 210 | <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a> |
| 211 | Protected Member Functions</h2></td></tr> |
| 212 | <tr class="memitem:a8c7faf37c1d965431aaa02ae934d67ee"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a8c7faf37c1d965431aaa02ae934d67ee">~IConnectableLayer</a> ()</td></tr> |
| 213 | <tr class="memdesc:a8c7faf37c1d965431aaa02ae934d67ee"><td class="mdescLeft"> </td><td class="mdescRight">Objects are not deletable via the handle. <a href="#a8c7faf37c1d965431aaa02ae934d67ee">More...</a><br /></td></tr> |
| 214 | <tr class="separator:a8c7faf37c1d965431aaa02ae934d67ee"><td class="memSeparator" colspan="2"> </td></tr> |
| 215 | </table> |
| 216 | <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| 217 | <div class="textblock"><p>Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. </p> |
| 218 | |
| 219 | <p class="definition">Definition at line <a class="el" href="_i_network_8hpp_source.xhtml#l00061">61</a> of file <a class="el" href="_i_network_8hpp_source.xhtml">INetwork.hpp</a>.</p> |
| 220 | </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| 221 | <a id="a8c7faf37c1d965431aaa02ae934d67ee"></a> |
| 222 | <h2 class="memtitle"><span class="permalink"><a href="#a8c7faf37c1d965431aaa02ae934d67ee">◆ </a></span>~IConnectableLayer()</h2> |
| 223 | |
| 224 | <div class="memitem"> |
| 225 | <div class="memproto"> |
| 226 | <table class="mlabels"> |
| 227 | <tr> |
| 228 | <td class="mlabels-left"> |
| 229 | <table class="memname"> |
| 230 | <tr> |
| 231 | <td class="memname">~<a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a> </td> |
| 232 | <td>(</td> |
| 233 | <td class="paramname"></td><td>)</td> |
| 234 | <td></td> |
| 235 | </tr> |
| 236 | </table> |
| 237 | </td> |
| 238 | <td class="mlabels-right"> |
| 239 | <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">protected</span></span> </td> |
| 240 | </tr> |
| 241 | </table> |
| 242 | </div><div class="memdoc"> |
| 243 | |
| 244 | <p>Objects are not deletable via the handle. </p> |
| 245 | |
| 246 | <p class="definition">Definition at line <a class="el" href="_i_network_8hpp_source.xhtml#l00098">98</a> of file <a class="el" href="_i_network_8hpp_source.xhtml">INetwork.hpp</a>.</p> |
| 247 | <div class="fragment"><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> {}</div></div><!-- fragment --> |
| 248 | </div> |
| 249 | </div> |
| 250 | <h2 class="groupheader">Member Function Documentation</h2> |
| 251 | <a id="a8c9198a992b02e61a6777329d487dde3"></a> |
| 252 | <h2 class="memtitle"><span class="permalink"><a href="#a8c9198a992b02e61a6777329d487dde3">◆ </a></span>Accept()</h2> |
| 253 | |
| 254 | <div class="memitem"> |
| 255 | <div class="memproto"> |
| 256 | <table class="mlabels"> |
| 257 | <tr> |
| 258 | <td class="mlabels-left"> |
| 259 | <table class="memname"> |
| 260 | <tr> |
| 261 | <td class="memname">virtual void Accept </td> |
| 262 | <td>(</td> |
| 263 | <td class="paramtype"><a class="el" href="classarmnn_1_1_i_layer_visitor.xhtml">ILayerVisitor</a> & </td> |
| 264 | <td class="paramname"><em>visitor</em></td><td>)</td> |
| 265 | <td> const</td> |
| 266 | </tr> |
| 267 | </table> |
| 268 | </td> |
| 269 | <td class="mlabels-right"> |
| 270 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 271 | </tr> |
| 272 | </table> |
| 273 | </div><div class="memdoc"> |
| 274 | |
| 275 | <p>Apply a visitor to this layer. </p> |
| 276 | |
| 277 | <p>Implemented in <a class="el" href="classarmnn_1_1_lstm_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">LstmLayer</a>, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">QuantizedLstmLayer</a>, <a class="el" href="classarmnn_1_1_permute_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">PermuteLayer</a>, <a class="el" href="classarmnn_1_1_transpose_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">TransposeLayer</a>, <a class="el" href="classarmnn_1_1_splitter_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">SplitterLayer</a>, <a class="el" href="classarmnn_1_1_concat_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ConcatLayer</a>, <a class="el" href="classarmnn_1_1_reshape_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ReshapeLayer</a>, <a class="el" href="classarmnn_1_1_convolution2d_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_fully_connected_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">FullyConnectedLayer</a>, <a class="el" href="classarmnn_1_1_output_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">OutputLayer</a>, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">TransposeConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_batch_normalization_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">BatchNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_constant_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ConstantLayer</a>, <a class="el" href="classarmnn_1_1_stand_in_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">StandInLayer</a>, <a class="el" href="classarmnn_1_1_comparison_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ComparisonLayer</a>, <a class="el" href="classarmnn_1_1_depth_to_space_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">DepthToSpaceLayer</a>, <a class="el" href="classarmnn_1_1_prelu_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">PreluLayer</a>, <a class="el" href="classarmnn_1_1_space_to_batch_nd_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">SpaceToBatchNdLayer</a>, <a class="el" href="classarmnn_1_1_space_to_depth_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">SpaceToDepthLayer</a>, <a class="el" href="classarmnn_1_1_arg_min_max_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ArgMinMaxLayer</a>, <a class="el" href="classarmnn_1_1_batch_to_space_nd_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">BatchToSpaceNdLayer</a>, <a class="el" href="classarmnn_1_1_detection_post_process_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">DetectionPostProcessLayer</a>, <a class="el" href="classarmnn_1_1_elementwise_unary_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ElementwiseUnaryLayer</a>, <a class="el" href="classarmnn_1_1_pooling2d_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">Pooling2dLayer</a>, <a class="el" href="classarmnn_1_1_pre_compiled_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">PreCompiledLayer</a>, <a class="el" href="classarmnn_1_1_resize_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ResizeLayer</a>, <a class="el" href="classarmnn_1_1_slice_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">SliceLayer</a>, <a class="el" href="classarmnn_1_1_stack_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">StackLayer</a>, <a class="el" href="classarmnn_1_1_strided_slice_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">StridedSliceLayer</a>, <a class="el" href="classarmnn_1_1_merge_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">MergeLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp16_to_fp32_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ConvertFp16ToFp32Layer</a>, <a class="el" href="classarmnn_1_1_gather_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">GatherLayer</a>, <a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">LogSoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_mean_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">MeanLayer</a>, <a class="el" href="classarmnn_1_1_pad_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">PadLayer</a>, <a class="el" href="classarmnn_1_1_abs_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">AbsLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp32_to_fp16_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ConvertFp32ToFp16Layer</a>, <a class="el" href="classarmnn_1_1_debug_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">DebugLayer</a>, <a class="el" href="classarmnn_1_1_dequantize_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">DequantizeLayer</a>, <a class="el" href="classarmnn_1_1_fake_quantization_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">FakeQuantizationLayer</a>, <a class="el" href="classarmnn_1_1_floor_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">FloorLayer</a>, <a class="el" href="classarmnn_1_1_input_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">InputLayer</a>, <a class="el" href="classarmnn_1_1_instance_normalization_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">InstanceNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_l2_normalization_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">L2NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_mem_copy_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">MemCopyLayer</a>, <a class="el" href="classarmnn_1_1_mem_import_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">MemImportLayer</a>, <a class="el" href="classarmnn_1_1_normalization_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_rsqrt_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">RsqrtLayer</a>, <a class="el" href="classarmnn_1_1_softmax_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">SoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_switch_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">SwitchLayer</a>, <a class="el" href="classarmnn_1_1_activation_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ActivationLayer</a>, <a class="el" href="classarmnn_1_1_division_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">DivisionLayer</a>, <a class="el" href="classarmnn_1_1_maximum_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">MaximumLayer</a>, <a class="el" href="classarmnn_1_1_minimum_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">MinimumLayer</a>, <a class="el" href="classarmnn_1_1_multiplication_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">MultiplicationLayer</a>, <a class="el" href="classarmnn_1_1_subtraction_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">SubtractionLayer</a>, <a class="el" href="classarmnn_1_1_addition_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">AdditionLayer</a>, and <a class="el" href="classarmnn_1_1_quantize_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">QuantizeLayer</a>.</p> |
| 278 | |
| 279 | <p class="reference">Referenced by <a class="el" href="_const_tensor_layer_visitor_8cpp_source.xhtml#l00170">armnn::BOOST_AUTO_TEST_CASE()</a>.</p> |
| 280 | |
| 281 | </div> |
| 282 | </div> |
| 283 | <a id="a833170f92e96b3ef414b6cf6e5720d2b"></a> |
| 284 | <h2 class="memtitle"><span class="permalink"><a href="#a833170f92e96b3ef414b6cf6e5720d2b">◆ </a></span>BackendSelectionHint()</h2> |
| 285 | |
| 286 | <div class="memitem"> |
| 287 | <div class="memproto"> |
| 288 | <table class="mlabels"> |
| 289 | <tr> |
| 290 | <td class="mlabels-left"> |
| 291 | <table class="memname"> |
| 292 | <tr> |
| 293 | <td class="memname">virtual void BackendSelectionHint </td> |
| 294 | <td>(</td> |
| 295 | <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> > </td> |
| 296 | <td class="paramname"><em>backend</em></td><td>)</td> |
| 297 | <td></td> |
| 298 | </tr> |
| 299 | </table> |
| 300 | </td> |
| 301 | <td class="mlabels-right"> |
| 302 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 303 | </tr> |
| 304 | </table> |
| 305 | </div><div class="memdoc"> |
| 306 | |
| 307 | <p>Provide a hint for the optimizer as to which backend to prefer for this layer. </p> |
| 308 | |
| 309 | <p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#a43a46eafee5c08787ab17b4342730c20">Layer</a>.</p> |
| 310 | |
| 311 | </div> |
| 312 | </div> |
| 313 | <a id="afb5e65c770f6cee222db8af7581541a6"></a> |
| 314 | <h2 class="memtitle"><span class="permalink"><a href="#afb5e65c770f6cee222db8af7581541a6">◆ </a></span>GetGuid()</h2> |
| 315 | |
| 316 | <div class="memitem"> |
| 317 | <div class="memproto"> |
| 318 | <table class="mlabels"> |
| 319 | <tr> |
| 320 | <td class="mlabels-left"> |
| 321 | <table class="memname"> |
| 322 | <tr> |
| 323 | <td class="memname">virtual <a class="el" href="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a> GetGuid </td> |
| 324 | <td>(</td> |
| 325 | <td class="paramname"></td><td>)</td> |
| 326 | <td> const</td> |
| 327 | </tr> |
| 328 | </table> |
| 329 | </td> |
| 330 | <td class="mlabels-right"> |
| 331 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 332 | </tr> |
| 333 | </table> |
| 334 | </div><div class="memdoc"> |
| 335 | |
| 336 | <p>Returns the unique id of the layer. </p> |
| 337 | |
| 338 | <p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">Layer</a>.</p> |
| 339 | |
| 340 | <p class="reference">Referenced by <a class="el" href="_network_tests_8cpp_source.xhtml#l00032">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01009">armnn::BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00014">QuantizerVisitor::QuantizerVisitor()</a>, <a class="el" href="_range_tracker_8cpp_source.xhtml#l00012">RangeTracker::SetRange()</a>, <a class="el" href="_profiling_test_utils_8cpp_source.xhtml#l00290">VerifyPostOptimisationStructureTestImpl()</a>, and <a class="el" href="_serializer_8cpp_source.xhtml#l01333">SerializerVisitor::VisitQuantizedLstmLayer()</a>.</p> |
| 341 | |
| 342 | </div> |
| 343 | </div> |
| 344 | <a id="a6ec9e0eb66d7d6a01240492a0b18104c"></a> |
| 345 | <h2 class="memtitle"><span class="permalink"><a href="#a6ec9e0eb66d7d6a01240492a0b18104c">◆ </a></span>GetInputSlot() <span class="overload">[1/2]</span></h2> |
| 346 | |
| 347 | <div class="memitem"> |
| 348 | <div class="memproto"> |
| 349 | <table class="mlabels"> |
| 350 | <tr> |
| 351 | <td class="mlabels-left"> |
| 352 | <table class="memname"> |
| 353 | <tr> |
| 354 | <td class="memname">virtual const <a class="el" href="classarmnn_1_1_i_input_slot.xhtml">IInputSlot</a>& GetInputSlot </td> |
| 355 | <td>(</td> |
| 356 | <td class="paramtype">unsigned int </td> |
| 357 | <td class="paramname"><em>index</em></td><td>)</td> |
| 358 | <td> const</td> |
| 359 | </tr> |
| 360 | </table> |
| 361 | </td> |
| 362 | <td class="mlabels-right"> |
| 363 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 364 | </tr> |
| 365 | </table> |
| 366 | </div><div class="memdoc"> |
| 367 | |
| 368 | <p>Get a const input slot handle by slot index. </p> |
| 369 | |
| 370 | <p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">Layer</a>.</p> |
| 371 | |
| 372 | <p class="reference">Referenced by <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00419">CaffeParserBase::AddConvLayerWithSplits()</a>, <a class="el" href="_end_to_end_test_8cpp_source.xhtml#l00017">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00225">armnn::BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02138">armnnTfParser::CalculatePaddedOutputTensorInfo()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01604">armnn::CompleteLeakyReluNetwork()</a>, <a class="el" href="_test_utils_8cpp_source.xhtml#l00012">Connect()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00933">armnnTfParser::ConvertTfTensorDataType()</a>, <a class="el" href="_onnx_parser_8cpp_source.xhtml#l00584">OnnxParser::CreateNetworkFromString()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00295">armnn::CreateNetworkWithActivationLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01060">armnn::CreateNetworkWithFullyConnectedLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00316">armnn::CreateNetworkWithInputOutputLayers()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01466">armnn::CreateNetworkWithSoftmaxLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01583">armnn::CreateStartOfLeakyReluNetwork()</a>, <a class="el" href="_dynamic_quantization_visitor_8cpp_source.xhtml#l00018">DynamicQuantizationVisitor::DynamicQuantizationVisitor()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l00764">Deserializer::GetNetworkOutputBindingInfo()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02749">TfLiteParser::GetOutputTensorIds()</a>, <a class="el" href="_json_printer_test_impl_8cpp_source.xhtml#l00120">GetSoftmaxProfilerJson()</a>, <a class="el" href="_serializer_8cpp_source.xhtml#l01483">SerializerVisitor::GetVersionTable()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l01468">armnnTfParser::OutputShapeOfExpandDims()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01898">TfLiteParser::OutputShapeOfReshape()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02463">armnnTfParser::OutputShapeOfSqueeze()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01338">CaffeParserBase::ParseBatchNormLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01277">CaffeParserBase::ParseConcatLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01230">CaffeParserBase::ParseEltwiseLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01134">CaffeParserBase::ParseInnerProductLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01027">CaffeParserBase::ParseLRNLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00883">CaffeParserBase::ParsePoolingLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01001">CaffeParserBase::ParseReluLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01404">CaffeParserBase::ParseScaleLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01208">CaffeParserBase::ParseSoftmaxLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l02926">armnn::PreserveTypeTestImpl()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00014">QuantizerVisitor::QuantizerVisitor()</a>, <a class="el" href="_static_range_visitor_8cpp_source.xhtml#l00017">StaticRangeVisitor::StaticRangeVisitor()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01155">armnn::TestQuantizeConvolution2d()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01241">armnn::TestQuantizeDepthwiseConvolution2d()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l02597">armnn::TestQuantizeTransposeConvolution2d()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00488">TfLiteParser::TfLiteParser()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00515">TfParser::TfParser()</a>, <a class="el" href="_profiling_test_utils_8cpp_source.xhtml#l00290">VerifyPostOptimisationStructureTestImpl()</a>, <a class="el" href="_dynamic_quantization_visitor_8cpp_source.xhtml#l00248">DynamicQuantizationVisitor::VisitConcatLayer()</a>, <a class="el" href="_static_range_visitor_8cpp_source.xhtml#l00159">StaticRangeVisitor::VisitConcatLayer()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00311">QuantizerVisitor::VisitInputLayer()</a>, and <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00373">QuantizerVisitor::VisitOutputLayer()</a>.</p> |
| 373 | |
| 374 | </div> |
| 375 | </div> |
| 376 | <a id="ae3fd4f909aec6a9e150ba82dfad4017f"></a> |
| 377 | <h2 class="memtitle"><span class="permalink"><a href="#ae3fd4f909aec6a9e150ba82dfad4017f">◆ </a></span>GetInputSlot() <span class="overload">[2/2]</span></h2> |
| 378 | |
| 379 | <div class="memitem"> |
| 380 | <div class="memproto"> |
| 381 | <table class="mlabels"> |
| 382 | <tr> |
| 383 | <td class="mlabels-left"> |
| 384 | <table class="memname"> |
| 385 | <tr> |
| 386 | <td class="memname">virtual <a class="el" href="classarmnn_1_1_i_input_slot.xhtml">IInputSlot</a>& GetInputSlot </td> |
| 387 | <td>(</td> |
| 388 | <td class="paramtype">unsigned int </td> |
| 389 | <td class="paramname"><em>index</em></td><td>)</td> |
| 390 | <td></td> |
| 391 | </tr> |
| 392 | </table> |
| 393 | </td> |
| 394 | <td class="mlabels-right"> |
| 395 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 396 | </tr> |
| 397 | </table> |
| 398 | </div><div class="memdoc"> |
| 399 | |
| 400 | <p>Get the input slot handle by slot index. </p> |
| 401 | |
| 402 | <p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#a1b50eb1358cdf382f4bc3fc8849f8e8e">Layer</a>.</p> |
| 403 | |
| 404 | </div> |
| 405 | </div> |
| 406 | <a id="afcc1c3a20bd2860e0ddd21674389246f"></a> |
| 407 | <h2 class="memtitle"><span class="permalink"><a href="#afcc1c3a20bd2860e0ddd21674389246f">◆ </a></span>GetName()</h2> |
| 408 | |
| 409 | <div class="memitem"> |
| 410 | <div class="memproto"> |
| 411 | <table class="mlabels"> |
| 412 | <tr> |
| 413 | <td class="mlabels-left"> |
| 414 | <table class="memname"> |
| 415 | <tr> |
| 416 | <td class="memname">virtual const char* GetName </td> |
| 417 | <td>(</td> |
| 418 | <td class="paramname"></td><td>)</td> |
| 419 | <td> const</td> |
| 420 | </tr> |
| 421 | </table> |
| 422 | </td> |
| 423 | <td class="mlabels-right"> |
| 424 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 425 | </tr> |
| 426 | </table> |
| 427 | </div><div class="memdoc"> |
| 428 | |
| 429 | <p>Returns the name of the layer. </p> |
| 430 | |
| 431 | <p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">Layer</a>.</p> |
| 432 | |
| 433 | <p class="reference">Referenced by <a class="el" href="_network_tests_8cpp_source.xhtml#l00374">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l02976">armnn::BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l03699">TfParser::GetNetworkOutputBindingInfo()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l00045">IWorkloadFactory::IsLayerSupported()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01898">TfLiteParser::OutputShapeOfReshape()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00488">TfLiteParser::TfLiteParser()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01509">CaffeParserBase::TrackBindingPoint()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01495">CaffeParserBase::TrackInputBinding()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01502">CaffeParserBase::TrackOutputBinding()</a>, and <a class="el" href="_serializer_8cpp_source.xhtml#l01333">SerializerVisitor::VisitQuantizedLstmLayer()</a>.</p> |
| 434 | |
| 435 | </div> |
| 436 | </div> |
| 437 | <a id="a9c2cba04b6d7ace4fc2a2436b82a5a63"></a> |
| 438 | <h2 class="memtitle"><span class="permalink"><a href="#a9c2cba04b6d7ace4fc2a2436b82a5a63">◆ </a></span>GetNumInputSlots()</h2> |
| 439 | |
| 440 | <div class="memitem"> |
| 441 | <div class="memproto"> |
| 442 | <table class="mlabels"> |
| 443 | <tr> |
| 444 | <td class="mlabels-left"> |
| 445 | <table class="memname"> |
| 446 | <tr> |
| 447 | <td class="memname">virtual unsigned int GetNumInputSlots </td> |
| 448 | <td>(</td> |
| 449 | <td class="paramname"></td><td>)</td> |
| 450 | <td> const</td> |
| 451 | </tr> |
| 452 | </table> |
| 453 | </td> |
| 454 | <td class="mlabels-right"> |
| 455 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 456 | </tr> |
| 457 | </table> |
| 458 | </div><div class="memdoc"> |
| 459 | |
| 460 | <p>Returns the number of connectable input slots. </p> |
| 461 | |
| 462 | <p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">Layer</a>.</p> |
| 463 | |
| 464 | <p class="reference">Referenced by <a class="el" href="_network_tests_8cpp_source.xhtml#l00069">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_onnx_parser_8cpp_source.xhtml#l00584">OnnxParser::CreateNetworkFromString()</a>, <a class="el" href="_dynamic_quantization_visitor_8cpp_source.xhtml#l00018">DynamicQuantizationVisitor::DynamicQuantizationVisitor()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l00764">Deserializer::GetNetworkOutputBindingInfo()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02749">TfLiteParser::GetOutputTensorIds()</a>, <a class="el" href="_serializer_8cpp_source.xhtml#l01483">SerializerVisitor::GetVersionTable()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00014">QuantizerVisitor::QuantizerVisitor()</a>, <a class="el" href="_dynamic_quantization_visitor_8cpp_source.xhtml#l00248">DynamicQuantizationVisitor::VisitConcatLayer()</a>, and <a class="el" href="_static_range_visitor_8cpp_source.xhtml#l00159">StaticRangeVisitor::VisitConcatLayer()</a>.</p> |
| 465 | |
| 466 | </div> |
| 467 | </div> |
| 468 | <a id="ac2dac3b61c94de52093616be4ab17f8d"></a> |
| 469 | <h2 class="memtitle"><span class="permalink"><a href="#ac2dac3b61c94de52093616be4ab17f8d">◆ </a></span>GetNumOutputSlots()</h2> |
| 470 | |
| 471 | <div class="memitem"> |
| 472 | <div class="memproto"> |
| 473 | <table class="mlabels"> |
| 474 | <tr> |
| 475 | <td class="mlabels-left"> |
| 476 | <table class="memname"> |
| 477 | <tr> |
| 478 | <td class="memname">virtual unsigned int GetNumOutputSlots </td> |
| 479 | <td>(</td> |
| 480 | <td class="paramname"></td><td>)</td> |
| 481 | <td> const</td> |
| 482 | </tr> |
| 483 | </table> |
| 484 | </td> |
| 485 | <td class="mlabels-right"> |
| 486 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 487 | </tr> |
| 488 | </table> |
| 489 | </div><div class="memdoc"> |
| 490 | |
| 491 | <p>Returns the number of connectable output slots. </p> |
| 492 | |
| 493 | <p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">Layer</a>.</p> |
| 494 | |
| 495 | <p class="reference">Referenced by <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00419">CaffeParserBase::AddConvLayerWithSplits()</a>, <a class="el" href="_network_tests_8cpp_source.xhtml#l00069">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_onnx_parser_8cpp_source.xhtml#l00584">OnnxParser::CreateNetworkFromString()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l00764">Deserializer::GetNetworkOutputBindingInfo()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02749">TfLiteParser::GetOutputTensorIds()</a>, <a class="el" href="_serializer_8cpp_source.xhtml#l01483">SerializerVisitor::GetVersionTable()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01898">TfLiteParser::OutputShapeOfReshape()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02463">armnnTfParser::OutputShapeOfSqueeze()</a>, and <a class="el" href="_range_tracker_8cpp_source.xhtml#l00012">RangeTracker::SetRange()</a>.</p> |
| 496 | |
| 497 | </div> |
| 498 | </div> |
| 499 | <a id="a80ac4eda2e7f2757ec9dd96fc96dbd16"></a> |
| 500 | <h2 class="memtitle"><span class="permalink"><a href="#a80ac4eda2e7f2757ec9dd96fc96dbd16">◆ </a></span>GetOutputSlot() <span class="overload">[1/2]</span></h2> |
| 501 | |
| 502 | <div class="memitem"> |
| 503 | <div class="memproto"> |
| 504 | <table class="mlabels"> |
| 505 | <tr> |
| 506 | <td class="mlabels-left"> |
| 507 | <table class="memname"> |
| 508 | <tr> |
| 509 | <td class="memname">virtual const <a class="el" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a>& GetOutputSlot </td> |
| 510 | <td>(</td> |
| 511 | <td class="paramtype">unsigned int </td> |
| 512 | <td class="paramname"><em>index</em></td><td>)</td> |
| 513 | <td> const</td> |
| 514 | </tr> |
| 515 | </table> |
| 516 | </td> |
| 517 | <td class="mlabels-right"> |
| 518 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 519 | </tr> |
| 520 | </table> |
| 521 | </div><div class="memdoc"> |
| 522 | |
| 523 | <p>Get the const output slot handle by slot index. </p> |
| 524 | |
| 525 | <p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">Layer</a>.</p> |
| 526 | |
| 527 | <p class="reference">Referenced by <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00419">CaffeParserBase::AddConvLayerWithSplits()</a>, <a class="el" href="_end_to_end_test_8cpp_source.xhtml#l00017">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00225">armnn::BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02138">armnnTfParser::CalculatePaddedOutputTensorInfo()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01604">armnn::CompleteLeakyReluNetwork()</a>, <a class="el" href="_test_utils_8cpp_source.xhtml#l00012">Connect()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00933">armnnTfParser::ConvertTfTensorDataType()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00605">TfLiteParser::CreateNetworkFromBinary()</a>, <a class="el" href="_onnx_parser_8cpp_source.xhtml#l00584">OnnxParser::CreateNetworkFromString()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00295">armnn::CreateNetworkWithActivationLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01060">armnn::CreateNetworkWithFullyConnectedLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00316">armnn::CreateNetworkWithInputOutputLayers()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01466">armnn::CreateNetworkWithSoftmaxLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01583">armnn::CreateStartOfLeakyReluNetwork()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l02465">Deserializer::GetLstmDescriptor()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l00764">Deserializer::GetNetworkOutputBindingInfo()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l02159">Deserializer::GetNormalizationDescriptor()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l01554">armnnDeserializer::GetOriginsDescriptor()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02749">TfLiteParser::GetOutputTensorIds()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l01808">Deserializer::GetPoolingDescriptor()</a>, <a class="el" href="_json_printer_test_impl_8cpp_source.xhtml#l00120">GetSoftmaxProfilerJson()</a>, <a class="el" href="_serializer_8cpp_source.xhtml#l01483">SerializerVisitor::GetVersionTable()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l01468">armnnTfParser::OutputShapeOfExpandDims()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l01938">Deserializer::OutputShapeOfReshape()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01898">TfLiteParser::OutputShapeOfReshape()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01463">TfLiteParser::OutputShapeOfSqueeze()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02463">armnnTfParser::OutputShapeOfSqueeze()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01338">CaffeParserBase::ParseBatchNormLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01277">CaffeParserBase::ParseConcatLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01230">CaffeParserBase::ParseEltwiseLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01134">CaffeParserBase::ParseInnerProductLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01027">CaffeParserBase::ParseLRNLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00883">CaffeParserBase::ParsePoolingLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01001">CaffeParserBase::ParseReluLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01404">CaffeParserBase::ParseScaleLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01208">CaffeParserBase::ParseSoftmaxLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l02926">armnn::PreserveTypeTestImpl()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00014">QuantizerVisitor::QuantizerVisitor()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01155">armnn::TestQuantizeConvolution2d()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01241">armnn::TestQuantizeDepthwiseConvolution2d()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l02597">armnn::TestQuantizeTransposeConvolution2d()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00488">TfLiteParser::TfLiteParser()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00515">TfParser::TfParser()</a>, <a class="el" href="_profiling_test_utils_8cpp_source.xhtml#l00290">VerifyPostOptimisationStructureTestImpl()</a>, <a class="el" href="_quantization_data_set_8cpp_source.xhtml#l00052">InputLayerVisitor::VisitInputLayer()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00311">QuantizerVisitor::VisitInputLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00191">armnn::VisitLayersTopologically()</a>, and <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00373">QuantizerVisitor::VisitOutputLayer()</a>.</p> |
| 528 | |
| 529 | </div> |
| 530 | </div> |
| 531 | <a id="a75bfde3503c1b21c397bb095f55db990"></a> |
| 532 | <h2 class="memtitle"><span class="permalink"><a href="#a75bfde3503c1b21c397bb095f55db990">◆ </a></span>GetOutputSlot() <span class="overload">[2/2]</span></h2> |
| 533 | |
| 534 | <div class="memitem"> |
| 535 | <div class="memproto"> |
| 536 | <table class="mlabels"> |
| 537 | <tr> |
| 538 | <td class="mlabels-left"> |
| 539 | <table class="memname"> |
| 540 | <tr> |
| 541 | <td class="memname">virtual <a class="el" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a>& GetOutputSlot </td> |
| 542 | <td>(</td> |
| 543 | <td class="paramtype">unsigned int </td> |
| 544 | <td class="paramname"><em>index</em></td><td>)</td> |
| 545 | <td></td> |
| 546 | </tr> |
| 547 | </table> |
| 548 | </td> |
| 549 | <td class="mlabels-right"> |
| 550 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 551 | </tr> |
| 552 | </table> |
| 553 | </div><div class="memdoc"> |
| 554 | |
| 555 | <p>Get the output slot handle by slot index. </p> |
| 556 | |
| 557 | <p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#abbd71844785bb2f00a81baca30ea5ff0">Layer</a>.</p> |
| 558 | |
| 559 | </div> |
| 560 | </div> |
| 561 | <a id="aa6e3c075c888e7c16942a468a3aae33c"></a> |
| 562 | <h2 class="memtitle"><span class="permalink"><a href="#aa6e3c075c888e7c16942a468a3aae33c">◆ </a></span>InferOutputShapes()</h2> |
| 563 | |
| 564 | <div class="memitem"> |
| 565 | <div class="memproto"> |
| 566 | <table class="mlabels"> |
| 567 | <tr> |
| 568 | <td class="mlabels-left"> |
| 569 | <table class="memname"> |
| 570 | <tr> |
| 571 | <td class="memname">virtual std::vector<<a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>> InferOutputShapes </td> |
| 572 | <td>(</td> |
| 573 | <td class="paramtype">const std::vector< <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> > & </td> |
| 574 | <td class="paramname"><em>inputShapes</em></td><td>)</td> |
| 575 | <td> const</td> |
| 576 | </tr> |
| 577 | </table> |
| 578 | </td> |
| 579 | <td class="mlabels-right"> |
| 580 | <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| 581 | </tr> |
| 582 | </table> |
| 583 | </div><div class="memdoc"> |
| 584 | |
| 585 | <p>Infer the shape of the output(s) based on the provided input shape(s) </p> |
| 586 | |
| 587 | <p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#a65ca562c882ad619684445a1402f415a">Layer</a>, <a class="el" href="classarmnn_1_1_lstm_layer.xhtml#a65ca562c882ad619684445a1402f415a">LstmLayer</a>, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a65ca562c882ad619684445a1402f415a">QuantizedLstmLayer</a>, <a class="el" href="classarmnn_1_1_splitter_layer.xhtml#a65ca562c882ad619684445a1402f415a">SplitterLayer</a>, <a class="el" href="classarmnn_1_1_concat_layer.xhtml#a65ca562c882ad619684445a1402f415a">ConcatLayer</a>, <a class="el" href="classarmnn_1_1_convolution2d_layer.xhtml#a65ca562c882ad619684445a1402f415a">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a65ca562c882ad619684445a1402f415a">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_fully_connected_layer.xhtml#a65ca562c882ad619684445a1402f415a">FullyConnectedLayer</a>, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.xhtml#a65ca562c882ad619684445a1402f415a">TransposeConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_constant_layer.xhtml#a65ca562c882ad619684445a1402f415a">ConstantLayer</a>, <a class="el" href="classarmnn_1_1_stand_in_layer.xhtml#a65ca562c882ad619684445a1402f415a">StandInLayer</a>, <a class="el" href="classarmnn_1_1_batch_to_space_nd_layer.xhtml#a65ca562c882ad619684445a1402f415a">BatchToSpaceNdLayer</a>, <a class="el" href="classarmnn_1_1_permute_layer.xhtml#a65ca562c882ad619684445a1402f415a">PermuteLayer</a>, <a class="el" href="classarmnn_1_1_pooling2d_layer.xhtml#a65ca562c882ad619684445a1402f415a">Pooling2dLayer</a>, <a class="el" href="classarmnn_1_1_reshape_layer.xhtml#a65ca562c882ad619684445a1402f415a">ReshapeLayer</a>, <a class="el" href="classarmnn_1_1_resize_layer.xhtml#a65ca562c882ad619684445a1402f415a">ResizeLayer</a>, <a class="el" href="classarmnn_1_1_slice_layer.xhtml#a65ca562c882ad619684445a1402f415a">SliceLayer</a>, <a class="el" href="classarmnn_1_1_stack_layer.xhtml#a65ca562c882ad619684445a1402f415a">StackLayer</a>, <a class="el" href="classarmnn_1_1_merge_layer.xhtml#a65ca562c882ad619684445a1402f415a">MergeLayer</a>, <a class="el" href="classarmnn_1_1_transpose_layer.xhtml#a65ca562c882ad619684445a1402f415a">TransposeLayer</a>, <a class="el" href="classarmnn_1_1_comparison_layer.xhtml#a65ca562c882ad619684445a1402f415a">ComparisonLayer</a>, <a class="el" href="classarmnn_1_1_depth_to_space_layer.xhtml#a65ca562c882ad619684445a1402f415a">DepthToSpaceLayer</a>, <a class="el" href="classarmnn_1_1_prelu_layer.xhtml#a65ca562c882ad619684445a1402f415a">PreluLayer</a>, <a class="el" href="classarmnn_1_1_space_to_batch_nd_layer.xhtml#a65ca562c882ad619684445a1402f415a">SpaceToBatchNdLayer</a>, <a class="el" href="classarmnn_1_1_space_to_depth_layer.xhtml#a65ca562c882ad619684445a1402f415a">SpaceToDepthLayer</a>, <a class="el" href="classarmnn_1_1_arg_min_max_layer.xhtml#a65ca562c882ad619684445a1402f415a">ArgMinMaxLayer</a>, <a class="el" href="classarmnn_1_1_elementwise_unary_layer.xhtml#a65ca562c882ad619684445a1402f415a">ElementwiseUnaryLayer</a>, <a class="el" href="classarmnn_1_1_strided_slice_layer.xhtml#a65ca562c882ad619684445a1402f415a">StridedSliceLayer</a>, and <a class="el" href="classarmnn_1_1_elementwise_base_layer.xhtml#a65ca562c882ad619684445a1402f415a">ElementwiseBaseLayer</a>.</p> |
| 588 | |
| 589 | </div> |
| 590 | </div> |
| 591 | <hr/>The documentation for this class was generated from the following file:<ul> |
| 592 | <li>include/armnn/<a class="el" href="_i_network_8hpp_source.xhtml">INetwork.hpp</a></li> |
| 593 | </ul> |
| 594 | </div><!-- contents --> |
| 595 | </div><!-- doc-content --> |
| 596 | <!-- start footer part --> |
| 597 | <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> |
| 598 | <ul> |
| 599 | <li class="navelem"><a class="el" href="namespacearmnn.xhtml">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a></li> |
| 600 | <li class="footer">Generated on Fri Mar 13 2020 16:09:18 for ArmNN by |
| 601 | <a href="http://www.doxygen.org/index.html"> |
| 602 | <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> |
| 603 | </ul> |
| 604 | </div> |
| 605 | </body> |
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