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Ryan OSheade36e4a2020-03-13 16:26:19 +0000[diff] [blame]1<!-- Copyright (c) 2020 ARM Limited. -->
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98<a href="#pub-methods">Public Member Functions</a> &#124;
99<a href="#pro-methods">Protected Member Functions</a> &#124;
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 &lt;<a class="el" href="_i_network_8hpp_source.xhtml">INetwork.hpp</a>&gt;</code></p>
110<div class="dynheader">
111Inheritance 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&lt; Parameters &gt;" 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&lt; ActivationDescriptor &gt;" shape="rect" coords="366,1176,722,1200"/>
137<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; ArgMinMaxDescriptor &gt;" shape="rect" coords="366,1232,722,1256"/>
138<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; BatchNormalizationDescriptor &gt;" shape="rect" coords="366,1288,722,1312"/>
139<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; BatchToSpaceNdDescriptor &gt;" shape="rect" coords="366,1344,722,1368"/>
140<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; ComparisonDescriptor &gt;" shape="rect" coords="366,1400,722,1424"/>
141<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; Convolution2dDescriptor &gt;" shape="rect" coords="366,1456,722,1480"/>
142<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; DepthToSpaceDescriptor &gt;" shape="rect" coords="366,1512,722,1536"/>
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146<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; FakeQuantizationDescriptor &gt;" shape="rect" coords="366,1736,722,1760"/>
147<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; FullyConnectedDescriptor &gt;" shape="rect" coords="366,1792,722,1816"/>
148<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; InstanceNormalizationDescriptor &gt;" shape="rect" coords="366,1848,722,1872"/>
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161<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; SliceDescriptor &gt;" shape="rect" coords="366,2576,722,2600"/>
162<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; SoftmaxDescriptor &gt;" shape="rect" coords="366,2632,722,2656"/>
163<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; SpaceToBatchNdDescriptor &gt;" shape="rect" coords="366,2688,722,2712"/>
164<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; SpaceToDepthDescriptor &gt;" shape="rect" coords="366,2744,722,2768"/>
165<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; StackDescriptor &gt;" shape="rect" coords="366,2800,722,2824"/>
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168<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; TransposeConvolution2dDescriptor &gt;" shape="rect" coords="366,2968,722,2992"/>
169<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; TransposeDescriptor &gt;" shape="rect" coords="366,3024,722,3048"/>
170<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters&lt; ViewsDescriptor &gt;" 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>
175Public Member Functions</h2></td></tr>
176<tr class="memitem:afcc1c3a20bd2860e0ddd21674389246f"><td class="memItemLeft" align="right" valign="top">virtual const char *&#160;</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">&#160;</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">&#160;</td></tr>
179<tr class="memitem:a9c2cba04b6d7ace4fc2a2436b82a5a63"><td class="memItemLeft" align="right" valign="top">virtual unsigned int&#160;</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">&#160;</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">&#160;</td></tr>
182<tr class="memitem:ac2dac3b61c94de52093616be4ab17f8d"><td class="memItemLeft" align="right" valign="top">virtual unsigned int&#160;</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">&#160;</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">&#160;</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> &amp;&#160;</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">&#160;</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">&#160;</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> &amp;&#160;</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">&#160;</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">&#160;</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> &amp;&#160;</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">&#160;</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">&#160;</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> &amp;&#160;</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">&#160;</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">&#160;</td></tr>
197<tr class="memitem:aa6e3c075c888e7c16942a468a3aae33c"><td class="memItemLeft" align="right" valign="top">virtual std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#aa6e3c075c888e7c16942a468a3aae33c">InferOutputShapes</a> (const std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &gt; &amp;inputShapes) const =0</td></tr>
198<tr class="memdesc:aa6e3c075c888e7c16942a468a3aae33c"><td class="mdescLeft">&#160;</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">&#160;</td></tr>
200<tr class="memitem:afb5e65c770f6cee222db8af7581541a6"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a>&#160;</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">&#160;</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">&#160;</td></tr>
203<tr class="memitem:a8c9198a992b02e61a6777329d487dde3"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</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> &amp;visitor) const =0</td></tr>
204<tr class="memdesc:a8c9198a992b02e61a6777329d487dde3"><td class="mdescLeft">&#160;</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">&#160;</td></tr>
206<tr class="memitem:a833170f92e96b3ef414b6cf6e5720d2b"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</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>&lt; <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> &gt; backend)=0</td></tr>
207<tr class="memdesc:a833170f92e96b3ef414b6cf6e5720d2b"><td class="mdescLeft">&#160;</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">&#160;</td></tr>
209</table><table class="memberdecls">
210<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a>
211Protected Member Functions</h2></td></tr>
212<tr class="memitem:a8c7faf37c1d965431aaa02ae934d67ee"><td class="memItemLeft" align="right" valign="top">&#160;</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">&#160;</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">&#160;</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 &amp; Destructor Documentation</h2>
221<a id="a8c7faf37c1d965431aaa02ae934d67ee"></a>
222<h2 class="memtitle"><span class="permalink"><a href="#a8c7faf37c1d965431aaa02ae934d67ee">&#9670;&nbsp;</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>&#160;{}</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">&#9670;&nbsp;</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> &amp;&#160;</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">&#9670;&nbsp;</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>&lt; <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> &gt;&#160;</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">&#9670;&nbsp;</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">&#9670;&nbsp;</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>&amp; GetInputSlot </td>
355 <td>(</td>
356 <td class="paramtype">unsigned int&#160;</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">&#9670;&nbsp;</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>&amp; GetInputSlot </td>
387 <td>(</td>
388 <td class="paramtype">unsigned int&#160;</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">&#9670;&nbsp;</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">&#9670;&nbsp;</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">&#9670;&nbsp;</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">&#9670;&nbsp;</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>&amp; GetOutputSlot </td>
510 <td>(</td>
511 <td class="paramtype">unsigned int&#160;</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">&#9670;&nbsp;</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>&amp; GetOutputSlot </td>
542 <td>(</td>
543 <td class="paramtype">unsigned int&#160;</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">&#9670;&nbsp;</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&lt;<a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&gt; InferOutputShapes </td>
572 <td>(</td>
573 <td class="paramtype">const std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &gt; &amp;&#160;</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 -->
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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>
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