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82<div class="header">
83 <div class="summary">
84<a href="#pub-methods">Public Member Functions</a> &#124;
85<a href="#pro-types">Protected Types</a> &#124;
86<a href="#pro-methods">Protected Member Functions</a> &#124;
87<a href="#pro-attribs">Protected Attributes</a> &#124;
88<a href="#friends">Friends</a> &#124;
89<a href="classarmnn_1_1_layer-members.html">List of all members</a> </div>
90 <div class="headertitle">
91<div class="title">Layer Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div> </div>
92</div><!--header-->
93<div class="contents">
94
95<p><code>#include &lt;<a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>&gt;</code></p>
96<div class="dynheader">
97Inheritance diagram for Layer:</div>
98<div class="dyncontent">
99 <div class="center">
100 <img src="classarmnn_1_1_layer.png" usemap="#Layer_map" alt=""/>
101 <map id="Layer_map" name="Layer_map">
102<area href="classarmnn_1_1_i_connectable_layer.html" title="Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. " alt="IConnectableLayer" shape="rect" coords="0,0,356,24"/>
103<area href="classarmnn_1_1_abs_layer.html" alt="AbsLayer" shape="rect" coords="366,112,722,136"/>
104<area href="classarmnn_1_1_bindable_layer.html" alt="BindableLayer" shape="rect" coords="366,168,722,192"/>
105<area href="classarmnn_1_1_constant_layer.html" title="A layer that the constant data can be bound to. " alt="ConstantLayer" shape="rect" coords="366,224,722,248"/>
106<area href="classarmnn_1_1_convert_fp16_to_fp32_layer.html" title="This layer converts data type Float 16 to Float 32. " alt="ConvertFp16ToFp32Layer" shape="rect" coords="366,280,722,304"/>
107<area href="classarmnn_1_1_convert_fp32_to_fp16_layer.html" title="This layer converts data type Float 32 to Float 16. " alt="ConvertFp32ToFp16Layer" shape="rect" coords="366,336,722,360"/>
108<area href="classarmnn_1_1_debug_layer.html" title="This layer visualizes the data flowing through the network. " alt="DebugLayer" shape="rect" coords="366,392,722,416"/>
109<area href="classarmnn_1_1_dequantize_layer.html" title="This layer dequantizes the input tensor. " alt="DequantizeLayer" shape="rect" coords="366,448,722,472"/>
110<area href="classarmnn_1_1_elementwise_base_layer.html" alt="ElementwiseBaseLayer" shape="rect" coords="366,504,722,528"/>
111<area href="classarmnn_1_1_floor_layer.html" title="This layer represents a floor operation. " alt="FloorLayer" shape="rect" coords="366,560,722,584"/>
112<area href="classarmnn_1_1_gather_layer.html" title="This layer represents a Gather operator. " alt="GatherLayer" shape="rect" coords="366,616,722,640"/>
113<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; Parameters &gt;" shape="rect" coords="366,672,722,696"/>
114<area href="classarmnn_1_1_mem_copy_layer.html" title="This layer represents a memory copy operation. " alt="MemCopyLayer" shape="rect" coords="366,728,722,752"/>
115<area href="classarmnn_1_1_mem_import_layer.html" title="This layer represents a memory import operation. " alt="MemImportLayer" shape="rect" coords="366,784,722,808"/>
116<area href="classarmnn_1_1_merge_layer.html" title="This layer dequantizes the input tensor. " alt="MergeLayer" shape="rect" coords="366,840,722,864"/>
117<area href="classarmnn_1_1_prelu_layer.html" alt="PreluLayer" shape="rect" coords="366,896,722,920"/>
118<area href="classarmnn_1_1_quantized_lstm_layer.html" title="This layer represents a QuantizedLstm operation. " alt="QuantizedLstmLayer" shape="rect" coords="366,952,722,976"/>
119<area href="classarmnn_1_1_quantize_layer.html" alt="QuantizeLayer" shape="rect" coords="366,1008,722,1032"/>
120<area href="classarmnn_1_1_rsqrt_layer.html" alt="RsqrtLayer" shape="rect" coords="366,1064,722,1088"/>
121<area href="classarmnn_1_1_switch_layer.html" title="This layer calculates both true and false outputs for input. " alt="SwitchLayer" shape="rect" coords="366,1120,722,1144"/>
122<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; ActivationDescriptor &gt;" shape="rect" coords="366,1176,722,1200"/>
123<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; ArgMinMaxDescriptor &gt;" shape="rect" coords="366,1232,722,1256"/>
124<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; BatchNormalizationDescriptor &gt;" shape="rect" coords="366,1288,722,1312"/>
125<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; BatchToSpaceNdDescriptor &gt;" shape="rect" coords="366,1344,722,1368"/>
126<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; ComparisonDescriptor &gt;" shape="rect" coords="366,1400,722,1424"/>
127<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; Convolution2dDescriptor &gt;" shape="rect" coords="366,1456,722,1480"/>
128<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; DepthToSpaceDescriptor &gt;" shape="rect" coords="366,1512,722,1536"/>
129<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; DepthwiseConvolution2dDescriptor &gt;" shape="rect" coords="366,1568,722,1592"/>
130<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; DetectionPostProcessDescriptor &gt;" shape="rect" coords="366,1624,722,1648"/>
131<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; ElementwiseUnaryDescriptor &gt;" shape="rect" coords="366,1680,722,1704"/>
132<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; FakeQuantizationDescriptor &gt;" shape="rect" coords="366,1736,722,1760"/>
133<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; FullyConnectedDescriptor &gt;" shape="rect" coords="366,1792,722,1816"/>
134<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; InstanceNormalizationDescriptor &gt;" shape="rect" coords="366,1848,722,1872"/>
135<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; L2NormalizationDescriptor &gt;" shape="rect" coords="366,1904,722,1928"/>
136<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; LogSoftmaxDescriptor &gt;" shape="rect" coords="366,1960,722,1984"/>
137<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; LstmDescriptor &gt;" shape="rect" coords="366,2016,722,2040"/>
138<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; MeanDescriptor &gt;" shape="rect" coords="366,2072,722,2096"/>
139<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; NormalizationDescriptor &gt;" shape="rect" coords="366,2128,722,2152"/>
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148<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; SoftmaxDescriptor &gt;" shape="rect" coords="366,2632,722,2656"/>
149<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; SpaceToBatchNdDescriptor &gt;" shape="rect" coords="366,2688,722,2712"/>
150<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; SpaceToDepthDescriptor &gt;" shape="rect" coords="366,2744,722,2768"/>
151<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; StackDescriptor &gt;" shape="rect" coords="366,2800,722,2824"/>
152<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; StandInDescriptor &gt;" shape="rect" coords="366,2856,722,2880"/>
153<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; StridedSliceDescriptor &gt;" shape="rect" coords="366,2912,722,2936"/>
154<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; TransposeConvolution2dDescriptor &gt;" shape="rect" coords="366,2968,722,2992"/>
155<area href="classarmnn_1_1_layer_with_parameters.html" alt="LayerWithParameters&lt; ViewsDescriptor &gt;" shape="rect" coords="366,3024,722,3048"/>
156</map>
157 </div></div>
158<table class="memberdecls">
159<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
160Public Member Functions</h2></td></tr>
161<tr class="memitem:a5e5ae420d199a0bccae5139d38c30205"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a5e5ae420d199a0bccae5139d38c30205">Layer</a> (unsigned int numInputSlots, unsigned int numOutputSlots, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, const char *name)</td></tr>
162<tr class="separator:a5e5ae420d199a0bccae5139d38c30205"><td class="memSeparator" colspan="2">&#160;</td></tr>
163<tr class="memitem:a395d070748c18d903705799360088e80"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a395d070748c18d903705799360088e80">Layer</a> (unsigned int numInputSlots, unsigned int numOutputSlots, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> layout, const char *name)</td></tr>
164<tr class="separator:a395d070748c18d903705799360088e80"><td class="memSeparator" colspan="2">&#160;</td></tr>
165<tr class="memitem:a9a97cb6d32661a57fc33bd29b8e41ff4"><td class="memItemLeft" align="right" valign="top">const std::string &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a> () const</td></tr>
166<tr class="separator:a9a97cb6d32661a57fc33bd29b8e41ff4"><td class="memSeparator" colspan="2">&#160;</td></tr>
167<tr class="memitem:af2c0edc7ea62a8baaec4d3d9b2b09256"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_output_handler.html">OutputHandler</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a> (unsigned int i=0) const</td></tr>
168<tr class="separator:af2c0edc7ea62a8baaec4d3d9b2b09256"><td class="memSeparator" colspan="2">&#160;</td></tr>
169<tr class="memitem:a1d4e05c17647232c514cfe58ca80744a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_output_handler.html">OutputHandler</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a1d4e05c17647232c514cfe58ca80744a">GetOutputHandler</a> (unsigned int i=0)</td></tr>
170<tr class="separator:a1d4e05c17647232c514cfe58ca80744a"><td class="memSeparator" colspan="2">&#160;</td></tr>
171<tr class="memitem:af5f530544d09a44d726f24702b67b35b"><td class="memItemLeft" align="right" valign="top">const std::vector&lt; <a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a> &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a> () const</td></tr>
172<tr class="separator:af5f530544d09a44d726f24702b67b35b"><td class="memSeparator" colspan="2">&#160;</td></tr>
173<tr class="memitem:a98cdff4e0b45f4c80bfcedaf926e16e0"><td class="memItemLeft" align="right" valign="top">const std::vector&lt; <a class="el" href="classarmnn_1_1_output_slot.html">OutputSlot</a> &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a98cdff4e0b45f4c80bfcedaf926e16e0">GetOutputSlots</a> () const</td></tr>
174<tr class="separator:a98cdff4e0b45f4c80bfcedaf926e16e0"><td class="memSeparator" colspan="2">&#160;</td></tr>
175<tr class="memitem:af6cb8de21ef0da269ec9b67755ae92a0"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a> &gt;::iterator&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#af6cb8de21ef0da269ec9b67755ae92a0">BeginInputSlots</a> ()</td></tr>
176<tr class="separator:af6cb8de21ef0da269ec9b67755ae92a0"><td class="memSeparator" colspan="2">&#160;</td></tr>
177<tr class="memitem:a9752e12d6b79e18da1a25f76159d2a72"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a> &gt;::iterator&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a9752e12d6b79e18da1a25f76159d2a72">EndInputSlots</a> ()</td></tr>
178<tr class="separator:a9752e12d6b79e18da1a25f76159d2a72"><td class="memSeparator" colspan="2">&#160;</td></tr>
179<tr class="memitem:a817d4be6dd88f532d36f51748ec14185"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_output_slot.html">OutputSlot</a> &gt;::iterator&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a817d4be6dd88f532d36f51748ec14185">BeginOutputSlots</a> ()</td></tr>
180<tr class="separator:a817d4be6dd88f532d36f51748ec14185"><td class="memSeparator" colspan="2">&#160;</td></tr>
181<tr class="memitem:a55f76d98fcd2f5cdac3e2b14536cb7ab"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_output_slot.html">OutputSlot</a> &gt;::iterator&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a55f76d98fcd2f5cdac3e2b14536cb7ab">EndOutputSlots</a> ()</td></tr>
182<tr class="separator:a55f76d98fcd2f5cdac3e2b14536cb7ab"><td class="memSeparator" colspan="2">&#160;</td></tr>
183<tr class="memitem:a22485f444124128940e798a42f0b76d9"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a22485f444124128940e798a42f0b76d9">IsOutputUnconnected</a> ()</td></tr>
184<tr class="separator:a22485f444124128940e798a42f0b76d9"><td class="memSeparator" colspan="2">&#160;</td></tr>
185<tr class="memitem:aac329cade047e952621b59a51a5d5f49"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#aac329cade047e952621b59a51a5d5f49">ResetPriority</a> () const</td></tr>
186<tr class="separator:aac329cade047e952621b59a51a5d5f49"><td class="memSeparator" colspan="2">&#160;</td></tr>
187<tr class="memitem:af97a07195a67a638605b3c325763c2dd"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#af97a07195a67a638605b3c325763c2dd">GetPriority</a> () const</td></tr>
188<tr class="separator:af97a07195a67a638605b3c325763c2dd"><td class="memSeparator" colspan="2">&#160;</td></tr>
189<tr class="memitem:aaef29472862381822654ab6cbf7cba2a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">GetType</a> () const</td></tr>
190<tr class="separator:aaef29472862381822654ab6cbf7cba2a"><td class="memSeparator" colspan="2">&#160;</td></tr>
191<tr class="memitem:aea909c7327109228ef618d459015def3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#aea909c7327109228ef618d459015def3">GetDataType</a> () const</td></tr>
192<tr class="separator:aea909c7327109228ef618d459015def3"><td class="memSeparator" colspan="2">&#160;</td></tr>
193<tr class="memitem:afdb1d37740e7a083b625d669588b6a0e"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a> () const</td></tr>
194<tr class="separator:afdb1d37740e7a083b625d669588b6a0e"><td class="memSeparator" colspan="2">&#160;</td></tr>
195<tr class="memitem:a3f6ad59212fa8a47c9265162fff8a274"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a> (const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> &amp;id)</td></tr>
196<tr class="separator:a3f6ad59212fa8a47c9265162fff8a274"><td class="memSeparator" colspan="2">&#160;</td></tr>
197<tr class="memitem:a08d1e10a45f15cd0bd02557be35a3864"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_workload.html">IWorkload</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a08d1e10a45f15cd0bd02557be35a3864">CreateWorkload</a> (const <a class="el" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a> &amp;factory) const =0</td></tr>
198<tr class="separator:a08d1e10a45f15cd0bd02557be35a3864"><td class="memSeparator" colspan="2">&#160;</td></tr>
199<tr class="memitem:a3ff62126ec713a2708e5fbaa6146a7de"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a3ff62126ec713a2708e5fbaa6146a7de">CreateTensorHandles</a> (const <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &amp;registry, const <a class="el" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a> &amp;factory, const bool IsMemoryManaged=<a class="el" href="_ref_layer_tests_8cpp.html#a37f1c3ccc9fc906be85185350dd83d48">true</a>)</td></tr>
200<tr class="separator:a3ff62126ec713a2708e5fbaa6146a7de"><td class="memSeparator" colspan="2">&#160;</td></tr>
201<tr class="memitem:ae89ff455503aa106d00bf34103d2f2e0"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_layer.html">Layer</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#ae89ff455503aa106d00bf34103d2f2e0">Clone</a> (<a class="el" href="classarmnn_1_1_graph.html">Graph</a> &amp;graph) const =0</td></tr>
202<tr class="separator:ae89ff455503aa106d00bf34103d2f2e0"><td class="memSeparator" colspan="2">&#160;</td></tr>
203<tr class="memitem:a0607e36e88f38c34c71c663164b76776"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a> (unsigned int expectedConnections, const <a class="el" href="structarmnn_1_1_check_location.html">CheckLocation</a> &amp;location) const</td></tr>
204<tr class="separator:a0607e36e88f38c34c71c663164b76776"><td class="memSeparator" colspan="2">&#160;</td></tr>
205<tr class="memitem:a84ff600212ba26e665de9b978ec896a4"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a84ff600212ba26e665de9b978ec896a4">ValidateTensorShapesFromInputs</a> ()=0</td></tr>
206<tr class="separator:a84ff600212ba26e665de9b978ec896a4"><td class="memSeparator" colspan="2">&#160;</td></tr>
207<tr class="memitem:a65ca562c882ad619684445a1402f415a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a> (const std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &gt; &amp;inputShapes) const override</td></tr>
208<tr class="separator:a65ca562c882ad619684445a1402f415a"><td class="memSeparator" colspan="2">&#160;</td></tr>
209<tr class="memitem:ac04cd8de9b9185756eb02463ffd432b1"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#ac04cd8de9b9185756eb02463ffd432b1">SerializeLayerParameters</a> (<a class="el" href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a> &amp;fn) const</td></tr>
210<tr class="separator:ac04cd8de9b9185756eb02463ffd432b1"><td class="memSeparator" colspan="2">&#160;</td></tr>
211<tr class="memitem:a339bef86bc340c3d1393ed83950fe8af"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a339bef86bc340c3d1393ed83950fe8af">ReleaseConstantData</a> ()</td></tr>
212<tr class="separator:a339bef86bc340c3d1393ed83950fe8af"><td class="memSeparator" colspan="2">&#160;</td></tr>
213<tr class="memitem:a386acff5f8430245239ce58d00ba7576"><td class="memTemplParams" colspan="2">template&lt;typename Op &gt; </td></tr>
214<tr class="memitem:a386acff5f8430245239ce58d00ba7576"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a386acff5f8430245239ce58d00ba7576">OperateOnConstantTensors</a> (Op op)</td></tr>
215<tr class="separator:a386acff5f8430245239ce58d00ba7576"><td class="memSeparator" colspan="2">&#160;</td></tr>
216<tr class="memitem:a7ddf0cf6f620d59c10e63495ace795d0"><td class="memItemLeft" align="right" valign="top">const char *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a> () const override</td></tr>
217<tr class="separator:a7ddf0cf6f620d59c10e63495ace795d0"><td class="memSeparator" colspan="2">&#160;</td></tr>
218<tr class="memitem:abc0660dc440c8a285b456c9ef6383c26"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a> () const override</td></tr>
219<tr class="separator:abc0660dc440c8a285b456c9ef6383c26"><td class="memSeparator" colspan="2">&#160;</td></tr>
220<tr class="memitem:a1594bddc87d6477df300317658f566bb"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a> () const override</td></tr>
221<tr class="separator:a1594bddc87d6477df300317658f566bb"><td class="memSeparator" colspan="2">&#160;</td></tr>
222<tr class="memitem:acf8b8e23bf647836592982f97088d375"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a> (unsigned int index) const override</td></tr>
223<tr class="separator:acf8b8e23bf647836592982f97088d375"><td class="memSeparator" colspan="2">&#160;</td></tr>
224<tr class="memitem:a1b50eb1358cdf382f4bc3fc8849f8e8e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a1b50eb1358cdf382f4bc3fc8849f8e8e">GetInputSlot</a> (unsigned int index) override</td></tr>
225<tr class="separator:a1b50eb1358cdf382f4bc3fc8849f8e8e"><td class="memSeparator" colspan="2">&#160;</td></tr>
226<tr class="memitem:a0e36688a43c35668d8db5257274c68fe"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_output_slot.html">OutputSlot</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a> (unsigned int index=0) const override</td></tr>
227<tr class="separator:a0e36688a43c35668d8db5257274c68fe"><td class="memSeparator" colspan="2">&#160;</td></tr>
228<tr class="memitem:abbd71844785bb2f00a81baca30ea5ff0"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_output_slot.html">OutputSlot</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#abbd71844785bb2f00a81baca30ea5ff0">GetOutputSlot</a> (unsigned int index=0) override</td></tr>
229<tr class="separator:abbd71844785bb2f00a81baca30ea5ff0"><td class="memSeparator" colspan="2">&#160;</td></tr>
230<tr class="memitem:a6d1024208b672a87ef2c1bfaf93d2b9f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a6d1024208b672a87ef2c1bfaf93d2b9f">SetGuid</a> (<a class="el" href="namespacearmnn.html#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a> guid)</td></tr>
231<tr class="separator:a6d1024208b672a87ef2c1bfaf93d2b9f"><td class="memSeparator" colspan="2">&#160;</td></tr>
232<tr class="memitem:a8dc12f0ee5b232d397bd18ced1a72a64"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a> () const final</td></tr>
233<tr class="separator:a8dc12f0ee5b232d397bd18ced1a72a64"><td class="memSeparator" colspan="2">&#160;</td></tr>
234<tr class="memitem:a339248d89d5e21534ecf74b4393ed4d2"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a339248d89d5e21534ecf74b4393ed4d2">AddRelatedLayerName</a> (const std::string layerName)</td></tr>
235<tr class="separator:a339248d89d5e21534ecf74b4393ed4d2"><td class="memSeparator" colspan="2">&#160;</td></tr>
236<tr class="memitem:a5e5520194ea4042fe07b0bf53c28f634"><td class="memItemLeft" align="right" valign="top">const std::list&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a5e5520194ea4042fe07b0bf53c28f634">GetRelatedLayerNames</a> ()</td></tr>
237<tr class="separator:a5e5520194ea4042fe07b0bf53c28f634"><td class="memSeparator" colspan="2">&#160;</td></tr>
238<tr class="memitem:a72b18e4c5a403bc3fe2fecf20135c8d6"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a72b18e4c5a403bc3fe2fecf20135c8d6">Reparent</a> (<a class="el" href="classarmnn_1_1_graph.html">Graph</a> &amp;dest, std::list&lt; <a class="el" href="classarmnn_1_1_layer.html">Layer</a> *&gt;::const_iterator iterator)=0</td></tr>
239<tr class="separator:a72b18e4c5a403bc3fe2fecf20135c8d6"><td class="memSeparator" colspan="2">&#160;</td></tr>
240<tr class="inherit_header pub_methods_classarmnn_1_1_i_connectable_layer"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_i_connectable_layer')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a></td></tr>
241<tr class="memitem:a8c9198a992b02e61a6777329d487dde3 inherit pub_methods_classarmnn_1_1_i_connectable_layer"><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.html#a8c9198a992b02e61a6777329d487dde3">Accept</a> (<a class="el" href="classarmnn_1_1_i_layer_visitor.html">ILayerVisitor</a> &amp;visitor) const =0</td></tr>
242<tr class="separator:a8c9198a992b02e61a6777329d487dde3 inherit pub_methods_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
243</table><table class="memberdecls">
244<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-types"></a>
245Protected Types</h2></td></tr>
246<tr class="memitem:a585d59ec610af46a76487fd6c1c55ac1"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a585d59ec610af46a76487fd6c1c55ac1">ConstantTensors</a> = std::vector&lt; std::reference_wrapper&lt; std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_scoped_cpu_tensor_handle.html">ScopedCpuTensorHandle</a> &gt; &gt;&gt;</td></tr>
247<tr class="separator:a585d59ec610af46a76487fd6c1c55ac1"><td class="memSeparator" colspan="2">&#160;</td></tr>
248</table><table class="memberdecls">
249<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a>
250Protected Member Functions</h2></td></tr>
251<tr class="memitem:aacfb208d750bdfce1bbd423e5cac76e2"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#aacfb208d750bdfce1bbd423e5cac76e2">~Layer</a> ()=default</td></tr>
252<tr class="separator:aacfb208d750bdfce1bbd423e5cac76e2"><td class="memSeparator" colspan="2">&#160;</td></tr>
253<tr class="memitem:afc3239f5fc116259bf5451964e803646"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
254<tr class="memitem:afc3239f5fc116259bf5451964e803646"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#afc3239f5fc116259bf5451964e803646">CollectQueueDescriptorInputs</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> &amp;descriptor, <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;<a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr>
255<tr class="separator:afc3239f5fc116259bf5451964e803646"><td class="memSeparator" colspan="2">&#160;</td></tr>
256<tr class="memitem:a499ca5a94d0174ed21786b6994b2cd8c"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
257<tr class="memitem:a499ca5a94d0174ed21786b6994b2cd8c"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a499ca5a94d0174ed21786b6994b2cd8c">CollectQueueDescriptorOutputs</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> &amp;descriptor, <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;<a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr>
258<tr class="separator:a499ca5a94d0174ed21786b6994b2cd8c"><td class="memSeparator" colspan="2">&#160;</td></tr>
259<tr class="memitem:a30a858b2b26d651a066537e499fbf40d"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
260<tr class="memitem:a30a858b2b26d651a066537e499fbf40d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> &amp;descriptor) const</td></tr>
261<tr class="memdesc:a30a858b2b26d651a066537e499fbf40d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Helper function to reduce duplication in *Layer<a class="el" href="_elementwise_unary_test_impl_8hpp.html#aa50938ed8f91e09acd4af904dcf5543a">CreateWorkload</a>. <a href="#a30a858b2b26d651a066537e499fbf40d">More...</a><br /></td></tr>
262<tr class="separator:a30a858b2b26d651a066537e499fbf40d"><td class="memSeparator" colspan="2">&#160;</td></tr>
263<tr class="memitem:aa10fd205c3f5469a9ecb2aa2a3ffd101"><td class="memTemplParams" colspan="2">template&lt;typename LayerType , typename ... Params&gt; </td></tr>
264<tr class="memitem:aa10fd205c3f5469a9ecb2aa2a3ffd101"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> *&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#aa10fd205c3f5469a9ecb2aa2a3ffd101">CloneBase</a> (<a class="el" href="classarmnn_1_1_graph.html">Graph</a> &amp;graph, Params &amp;&amp;... params) const</td></tr>
265<tr class="separator:aa10fd205c3f5469a9ecb2aa2a3ffd101"><td class="memSeparator" colspan="2">&#160;</td></tr>
266<tr class="memitem:afbeac2d77ecaadc3e303a163b4146961"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_layer.html#a585d59ec610af46a76487fd6c1c55ac1">ConstantTensors</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#afbeac2d77ecaadc3e303a163b4146961">GetConstantTensorsByRef</a> ()</td></tr>
267<tr class="separator:afbeac2d77ecaadc3e303a163b4146961"><td class="memSeparator" colspan="2">&#160;</td></tr>
268<tr class="inherit_header pro_methods_classarmnn_1_1_i_connectable_layer"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_i_connectable_layer')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a></td></tr>
269<tr class="memitem:a8c7faf37c1d965431aaa02ae934d67ee inherit pro_methods_classarmnn_1_1_i_connectable_layer"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#a8c7faf37c1d965431aaa02ae934d67ee">~IConnectableLayer</a> ()</td></tr>
270<tr class="memdesc:a8c7faf37c1d965431aaa02ae934d67ee inherit pro_methods_classarmnn_1_1_i_connectable_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Objects are not deletable via the handle. <a href="classarmnn_1_1_i_connectable_layer.html#a8c7faf37c1d965431aaa02ae934d67ee">More...</a><br /></td></tr>
271<tr class="separator:a8c7faf37c1d965431aaa02ae934d67ee inherit pro_methods_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
272</table><table class="memberdecls">
273<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-attribs"></a>
274Protected Attributes</h2></td></tr>
275<tr class="memitem:aa44d91037bba52ba0dec6577509ade3b"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_output_handler.html">OutputHandler</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a></td></tr>
276<tr class="separator:aa44d91037bba52ba0dec6577509ade3b"><td class="memSeparator" colspan="2">&#160;</td></tr>
277</table><table class="memberdecls">
278<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="friends"></a>
279Friends</h2></td></tr>
280<tr class="memitem:afab89afd724f1b07b1aaad6bdc61c47a"><td class="memItemLeft" align="right" valign="top">class&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#afab89afd724f1b07b1aaad6bdc61c47a">Graph</a></td></tr>
281<tr class="separator:afab89afd724f1b07b1aaad6bdc61c47a"><td class="memSeparator" colspan="2">&#160;</td></tr>
282</table>
283<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
284<div class="textblock">
285<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00209">209</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
286</div><h2 class="groupheader">Member Typedef Documentation</h2>
287<a id="a585d59ec610af46a76487fd6c1c55ac1"></a>
288<h2 class="memtitle"><span class="permalink"><a href="#a585d59ec610af46a76487fd6c1c55ac1">&#9670;&nbsp;</a></span>ConstantTensors</h2>
289
290<div class="memitem">
291<div class="memproto">
292<table class="mlabels">
293 <tr>
294 <td class="mlabels-left">
295 <table class="memname">
296 <tr>
297 <td class="memname">using <a class="el" href="classarmnn_1_1_layer.html#a585d59ec610af46a76487fd6c1c55ac1">ConstantTensors</a> = std::vector&lt;std::reference_wrapper&lt;std::unique_ptr&lt;<a class="el" href="classarmnn_1_1_scoped_cpu_tensor_handle.html">ScopedCpuTensorHandle</a>&gt; &gt;&gt;</td>
298 </tr>
299 </table>
300 </td>
301 <td class="mlabels-right">
302<span class="mlabels"><span class="mlabel">protected</span></span> </td>
303 </tr>
304</table>
305</div><div class="memdoc">
306
307<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00356">356</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
308
309</div>
310</div>
311<h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
312<a id="a5e5ae420d199a0bccae5139d38c30205"></a>
313<h2 class="memtitle"><span class="permalink"><a href="#a5e5ae420d199a0bccae5139d38c30205">&#9670;&nbsp;</a></span>Layer() <span class="overload">[1/2]</span></h2>
314
315<div class="memitem">
316<div class="memproto">
317 <table class="memname">
318 <tr>
319 <td class="memname"><a class="el" href="classarmnn_1_1_layer.html">Layer</a> </td>
320 <td>(</td>
321 <td class="paramtype">unsigned int&#160;</td>
322 <td class="paramname"><em>numInputSlots</em>, </td>
323 </tr>
324 <tr>
325 <td class="paramkey"></td>
326 <td></td>
327 <td class="paramtype">unsigned int&#160;</td>
328 <td class="paramname"><em>numOutputSlots</em>, </td>
329 </tr>
330 <tr>
331 <td class="paramkey"></td>
332 <td></td>
333 <td class="paramtype"><a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>&#160;</td>
334 <td class="paramname"><em>type</em>, </td>
335 </tr>
336 <tr>
337 <td class="paramkey"></td>
338 <td></td>
339 <td class="paramtype">const char *&#160;</td>
340 <td class="paramname"><em>name</em>&#160;</td>
341 </tr>
342 <tr>
343 <td></td>
344 <td>)</td>
345 <td></td><td></td>
346 </tr>
347 </table>
348</div><div class="memdoc">
349<dl class="params"><dt>Parameters</dt><dd>
350 <table class="params">
351 <tr><td class="paramname">name</td><td>- <a class="el" href="classarmnn_1_1_optional.html">Optional</a> name for the layer (may be nullptr). </td></tr>
352 </table>
353 </dd>
354</dl>
355
356<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.html#l00212">212</a> of file <a class="el" href="_layer_8cpp_source.html">Layer.cpp</a>.</p>
357
358<p class="reference">References <a class="el" href="_layer_8hpp_source.html#l00231">Layer::GetInputSlots()</a>, <a class="el" href="_layer_8hpp_source.html#l00364">Layer::m_OutputHandlers</a>, and <a class="el" href="_workload_data_collector_8hpp_source.html#l00024">WorkloadDataCollector::Push()</a>.</p>
359<div class="fragment"><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160;: <a class="code" href="classarmnn_1_1_layer.html#a5e5ae420d199a0bccae5139d38c30205">Layer</a>(numInputSlots, numOutputSlots, type, <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, name)</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160;{</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_layer_html_a5e5ae420d199a0bccae5139d38c30205"><div class="ttname"><a href="classarmnn_1_1_layer.html#a5e5ae420d199a0bccae5139d38c30205">armnn::Layer::Layer</a></div><div class="ttdeci">Layer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00212">Layer.cpp:212</a></div></div>
360<div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
361</div><!-- fragment -->
362</div>
363</div>
364<a id="a395d070748c18d903705799360088e80"></a>
365<h2 class="memtitle"><span class="permalink"><a href="#a395d070748c18d903705799360088e80">&#9670;&nbsp;</a></span>Layer() <span class="overload">[2/2]</span></h2>
366
367<div class="memitem">
368<div class="memproto">
369 <table class="memname">
370 <tr>
371 <td class="memname"><a class="el" href="classarmnn_1_1_layer.html">Layer</a> </td>
372 <td>(</td>
373 <td class="paramtype">unsigned int&#160;</td>
374 <td class="paramname"><em>numInputSlots</em>, </td>
375 </tr>
376 <tr>
377 <td class="paramkey"></td>
378 <td></td>
379 <td class="paramtype">unsigned int&#160;</td>
380 <td class="paramname"><em>numOutputSlots</em>, </td>
381 </tr>
382 <tr>
383 <td class="paramkey"></td>
384 <td></td>
385 <td class="paramtype"><a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>&#160;</td>
386 <td class="paramname"><em>type</em>, </td>
387 </tr>
388 <tr>
389 <td class="paramkey"></td>
390 <td></td>
391 <td class="paramtype"><a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&#160;</td>
392 <td class="paramname"><em>layout</em>, </td>
393 </tr>
394 <tr>
395 <td class="paramkey"></td>
396 <td></td>
397 <td class="paramtype">const char *&#160;</td>
398 <td class="paramname"><em>name</em>&#160;</td>
399 </tr>
400 <tr>
401 <td></td>
402 <td>)</td>
403 <td></td><td></td>
404 </tr>
405 </table>
406</div><div class="memdoc">
407
408<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.html#l00187">187</a> of file <a class="el" href="_layer_8cpp_source.html">Layer.cpp</a>.</p>
409
410<p class="reference">References <a class="el" href="_layer_8hpp_source.html#l00364">Layer::m_OutputHandlers</a>.</p>
411<div class="fragment"><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160;: <a class="code" href="classarmnn_1_1_layer.html#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a>(numOutputSlots)</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160;, m_LayerName(name ? name : <span class="stringliteral">&quot;&quot;</span>)</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;, m_Type(type)</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;, m_BackendId()</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160;, m_Guid(<a class="code" href="classarmnn_1_1profiling_1_1_profiling_service.html#a6d016886de3596fe67dbabf107168f97">profiling::ProfilingService::Instance</a>().NextGuid())</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160;{</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; boost::ignore_unused(layout);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; m_InputSlots.reserve(numInputSlots);</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numInputSlots; ++i)</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; {</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; m_InputSlots.emplace_back(*<span class="keyword">this</span>, i);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; }</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; m_OutputSlots.reserve(numOutputSlots);</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numOutputSlots; ++i)</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; {</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; m_OutputSlots.emplace_back(*<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer.html#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a>[i]);</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; }</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160;}</div><div class="ttc" id="classarmnn_1_1profiling_1_1_profiling_service_html_a6d016886de3596fe67dbabf107168f97"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_profiling_service.html#a6d016886de3596fe67dbabf107168f97">armnn::profiling::ProfilingService::Instance</a></div><div class="ttdeci">static ProfilingService &amp; Instance()</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_service_8hpp_source.html#l00052">ProfilingService.hpp:52</a></div></div>
412<div class="ttc" id="classarmnn_1_1_layer_html_aa44d91037bba52ba0dec6577509ade3b"><div class="ttname"><a href="classarmnn_1_1_layer.html#aa44d91037bba52ba0dec6577509ade3b">armnn::Layer::m_OutputHandlers</a></div><div class="ttdeci">std::vector&lt; OutputHandler &gt; m_OutputHandlers</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00364">Layer.hpp:364</a></div></div>
413</div><!-- fragment -->
414</div>
415</div>
416<a id="aacfb208d750bdfce1bbd423e5cac76e2"></a>
417<h2 class="memtitle"><span class="permalink"><a href="#aacfb208d750bdfce1bbd423e5cac76e2">&#9670;&nbsp;</a></span>~Layer()</h2>
418
419<div class="memitem">
420<div class="memproto">
421<table class="mlabels">
422 <tr>
423 <td class="mlabels-left">
424 <table class="memname">
425 <tr>
426 <td class="memname">virtual ~<a class="el" href="classarmnn_1_1_layer.html">Layer</a> </td>
427 <td>(</td>
428 <td class="paramname"></td><td>)</td>
429 <td></td>
430 </tr>
431 </table>
432 </td>
433 <td class="mlabels-right">
434<span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">virtual</span><span class="mlabel">default</span></span> </td>
435 </tr>
436</table>
437</div><div class="memdoc">
438
439</div>
440</div>
441<h2 class="groupheader">Member Function Documentation</h2>
442<a id="a339248d89d5e21534ecf74b4393ed4d2"></a>
443<h2 class="memtitle"><span class="permalink"><a href="#a339248d89d5e21534ecf74b4393ed4d2">&#9670;&nbsp;</a></span>AddRelatedLayerName()</h2>
444
445<div class="memitem">
446<div class="memproto">
447<table class="mlabels">
448 <tr>
449 <td class="mlabels-left">
450 <table class="memname">
451 <tr>
452 <td class="memname">void AddRelatedLayerName </td>
453 <td>(</td>
454 <td class="paramtype">const std::string&#160;</td>
455 <td class="paramname"><em>layerName</em></td><td>)</td>
456 <td></td>
457 </tr>
458 </table>
459 </td>
460 <td class="mlabels-right">
461<span class="mlabels"><span class="mlabel">inline</span></span> </td>
462 </tr>
463</table>
464</div><div class="memdoc">
465
466<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00318">318</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
467<div class="fragment"><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160;{ m_RelatedLayerNames.emplace_back(layerName); }</div></div><!-- fragment -->
468</div>
469</div>
470<a id="af6cb8de21ef0da269ec9b67755ae92a0"></a>
471<h2 class="memtitle"><span class="permalink"><a href="#af6cb8de21ef0da269ec9b67755ae92a0">&#9670;&nbsp;</a></span>BeginInputSlots()</h2>
472
473<div class="memitem">
474<div class="memproto">
475<table class="mlabels">
476 <tr>
477 <td class="mlabels-left">
478 <table class="memname">
479 <tr>
480 <td class="memname">std::vector&lt;<a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a>&gt;::iterator BeginInputSlots </td>
481 <td>(</td>
482 <td class="paramname"></td><td>)</td>
483 <td></td>
484 </tr>
485 </table>
486 </td>
487 <td class="mlabels-right">
488<span class="mlabels"><span class="mlabel">inline</span></span> </td>
489 </tr>
490</table>
491</div><div class="memdoc">
492
493<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00235">235</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
494
495<p class="reference">Referenced by <a class="el" href="_network_utils_8cpp_source.html#l00040">armnn::InsertConvertFp16ToFp32LayersBefore()</a>, <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.html#l00018">ConvertFp32NetworkToFp16Impl::Run()</a>, and <a class="el" href="_move_permute_up_8hpp_source.html#l00022">MovePermuteUpImpl::Run()</a>.</p>
496<div class="fragment"><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160;{ <span class="keywordflow">return</span> m_InputSlots.begin(); }</div></div><!-- fragment -->
497</div>
498</div>
499<a id="a817d4be6dd88f532d36f51748ec14185"></a>
500<h2 class="memtitle"><span class="permalink"><a href="#a817d4be6dd88f532d36f51748ec14185">&#9670;&nbsp;</a></span>BeginOutputSlots()</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">std::vector&lt;<a class="el" href="classarmnn_1_1_output_slot.html">OutputSlot</a>&gt;::iterator BeginOutputSlots </td>
510 <td>(</td>
511 <td class="paramname"></td><td>)</td>
512 <td></td>
513 </tr>
514 </table>
515 </td>
516 <td class="mlabels-right">
517<span class="mlabels"><span class="mlabel">inline</span></span> </td>
518 </tr>
519</table>
520</div><div class="memdoc">
521
522<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00239">239</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
523
524<p class="reference">Referenced by <a class="el" href="_graph_8cpp_source.html#l00028">Graph::Graph()</a>, <a class="el" href="_network_utils_8cpp_source.html#l00112">armnn::InsertDebugLayerAfter()</a>, <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.html#l00018">ConvertFp32NetworkToFp16Impl::Run()</a>, and <a class="el" href="_squash_equal_siblings_8hpp_source.html#l00024">SquashEqualSiblingsImpl&lt; Comparable &gt;::Run()</a>.</p>
525<div class="fragment"><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160;{ <span class="keywordflow">return</span> m_OutputSlots.begin(); }</div></div><!-- fragment -->
526</div>
527</div>
528<a id="ae89ff455503aa106d00bf34103d2f2e0"></a>
529<h2 class="memtitle"><span class="permalink"><a href="#ae89ff455503aa106d00bf34103d2f2e0">&#9670;&nbsp;</a></span>Clone()</h2>
530
531<div class="memitem">
532<div class="memproto">
533<table class="mlabels">
534 <tr>
535 <td class="mlabels-left">
536 <table class="memname">
537 <tr>
538 <td class="memname">virtual <a class="el" href="classarmnn_1_1_layer.html">Layer</a>* Clone </td>
539 <td>(</td>
540 <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.html">Graph</a> &amp;&#160;</td>
541 <td class="paramname"><em>graph</em></td><td>)</td>
542 <td> const</td>
543 </tr>
544 </table>
545 </td>
546 <td class="mlabels-right">
547<span class="mlabels"><span class="mlabel">pure virtual</span></span> </td>
548 </tr>
549</table>
550</div><div class="memdoc">
551<p>Creates a dynamically-allocated copy of this layer. </p><dl class="params"><dt>Parameters</dt><dd>
552 <table class="params">
553 <tr><td class="paramname">graph</td><td>- The <a class="el" href="classarmnn_1_1_graph.html">Graph</a> into which this <a class="el" href="classarmnn_1_1_layer.html">Layer</a> is being cloned. </td></tr>
554 </table>
555 </dd>
556</dl>
557
558<p>Implemented in <a class="el" href="classarmnn_1_1_lstm_layer.html#ac6b352652fb2f722e56f5fd62c57ae09">LstmLayer</a>, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.html#a08edea9423b6da5da174ce5269f6e28b">QuantizedLstmLayer</a>, <a class="el" href="classarmnn_1_1_output_layer.html#a4589aa51155f0836bee3c3ed85f47082">OutputLayer</a>, <a class="el" href="classarmnn_1_1_batch_normalization_layer.html#a0a42b443052ed2114f9b8d8eac8bd7fd">BatchNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_splitter_layer.html#a9e2089cbab017e13409f94da71d75770">SplitterLayer</a>, <a class="el" href="classarmnn_1_1_concat_layer.html#aabac24cc08de52926e6bed5ffdc48dd8">ConcatLayer</a>, <a class="el" href="classarmnn_1_1_convolution2d_layer.html#acf7bec8b795447d4b23e0339a6561044">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a6f56b4ee567a69e7daf2e9bd3053646c">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_fully_connected_layer.html#ae23412fdfc6726dc1823a18f5e84f8a9">FullyConnectedLayer</a>, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html#a0ad3ca858bd49041c1a5ce793312dcf8">TransposeConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_detection_post_process_layer.html#a8d3b0c5e823f04841d74a2647e6a5246">DetectionPostProcessLayer</a>, <a class="el" href="classarmnn_1_1_pre_compiled_layer.html#a3a08acd0b68fad7b8116e35c8702d23e">PreCompiledLayer</a>, <a class="el" href="classarmnn_1_1_constant_layer.html#a5340a3dbbc84afba95fe19d1c8b5fb04">ConstantLayer</a>, <a class="el" href="classarmnn_1_1_arg_min_max_layer.html#a043d6257a58f7fee75b00d10006549b2">ArgMinMaxLayer</a>, <a class="el" href="classarmnn_1_1_comparison_layer.html#abbb77b1ee8b485ccd194db4c983a6b07">ComparisonLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp16_to_fp32_layer.html#a284feab21ac5f71ff86b664e3c55c13d">ConvertFp16ToFp32Layer</a>, <a class="el" href="classarmnn_1_1_depth_to_space_layer.html#a1c96a186c37deb90b7f0dd223894fa30">DepthToSpaceLayer</a>, <a class="el" href="classarmnn_1_1_division_layer.html#a4b6e34239c98d4c6363c83e0de44c19c">DivisionLayer</a>, <a class="el" href="classarmnn_1_1_elementwise_unary_layer.html#ab25eba589122a31db3433851bdb77d14">ElementwiseUnaryLayer</a>, <a class="el" href="classarmnn_1_1_gather_layer.html#a3a6486888f04bdb311ab04ce752082e4">GatherLayer</a>, <a class="el" href="classarmnn_1_1_log_softmax_layer.html#a1ee115ea0c7522119fe3fa919094d856">LogSoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_maximum_layer.html#a045edc8bf3182c9763f622d69dcc5f63">MaximumLayer</a>, <a class="el" href="classarmnn_1_1_mean_layer.html#a12a07b8514277e7db725c483e3ab6d03">MeanLayer</a>, <a class="el" href="classarmnn_1_1_minimum_layer.html#a3f18bd606ab297e5aa4178c704d25f7c">MinimumLayer</a>, <a class="el" href="classarmnn_1_1_multiplication_layer.html#a84886e4e27e7b3d775f9e5f53ef792d5">MultiplicationLayer</a>, <a class="el" href="classarmnn_1_1_pad_layer.html#a3664d3e6f5555f990d8615fc512b1d66">PadLayer</a>, <a class="el" href="classarmnn_1_1_prelu_layer.html#af5dd85c2adbf7e9f95d9c984157620a9">PreluLayer</a>, <a class="el" href="classarmnn_1_1_space_to_batch_nd_layer.html#aa00f5b65b97ab5d525bcff625e85f2dc">SpaceToBatchNdLayer</a>, <a class="el" href="classarmnn_1_1_space_to_depth_layer.html#a63f13ce7bafa57a2505563c83579d414">SpaceToDepthLayer</a>, <a class="el" href="classarmnn_1_1_stand_in_layer.html#a7283be538a107c461d94f3e64d5dda42">StandInLayer</a>, <a class="el" href="classarmnn_1_1_subtraction_layer.html#a8f5e68f921977058e5e1d9287b30b9b6">SubtractionLayer</a>, <a class="el" href="classarmnn_1_1_abs_layer.html#a0e4116c410fad8f9412b92919db9f709">AbsLayer</a>, <a class="el" href="classarmnn_1_1_addition_layer.html#a841977670b8ce23be34e2c59b601261d">AdditionLayer</a>, <a class="el" href="classarmnn_1_1_batch_to_space_nd_layer.html#acea3e9bebacf2e28a07c81803d87049a">BatchToSpaceNdLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp32_to_fp16_layer.html#a7c7e9daf8cb913b45086170030f387db">ConvertFp32ToFp16Layer</a>, <a class="el" href="classarmnn_1_1_debug_layer.html#aa516db393d0c0264fd7f5a0fe2d053b7">DebugLayer</a>, <a class="el" href="classarmnn_1_1_dequantize_layer.html#a6a9cc35b8905d1a1819225d31a93d020">DequantizeLayer</a>, <a class="el" href="classarmnn_1_1_fake_quantization_layer.html#a5dbcb10b38be8b8da9507005c970d601">FakeQuantizationLayer</a>, <a class="el" href="classarmnn_1_1_floor_layer.html#acd412ed7f96e8b8db66250bba6f3d6ba">FloorLayer</a>, <a class="el" href="classarmnn_1_1_input_layer.html#a55eb3d90093b47ba36a4c6467bbb975d">InputLayer</a>, <a class="el" href="classarmnn_1_1_instance_normalization_layer.html#adb99489b451c28860024196ef2228700">InstanceNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_l2_normalization_layer.html#a5c7d477f65ced1cd35cb3381d3579393">L2NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_mem_copy_layer.html#a0df281cfac9339574aec2dce1a1631da">MemCopyLayer</a>, <a class="el" href="classarmnn_1_1_mem_import_layer.html#a19f4f800a45aac9473090b85e147acc0">MemImportLayer</a>, <a class="el" href="classarmnn_1_1_merge_layer.html#a1ff5e058af2623a5d1a8a5e1663821bd">MergeLayer</a>, <a class="el" href="classarmnn_1_1_normalization_layer.html#a80b3bd0706d7333aa5f96dba6982b9a9">NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_permute_layer.html#af3fc26f602263fd5acbe5ff31e98da5b">PermuteLayer</a>, <a class="el" href="classarmnn_1_1_pooling2d_layer.html#adf1236c5347b7e42a805289ac671e4e3">Pooling2dLayer</a>, <a class="el" href="classarmnn_1_1_reshape_layer.html#a089160274dcda58247b8a22dd1dddfa7">ReshapeLayer</a>, <a class="el" href="classarmnn_1_1_resize_layer.html#a4eb20df5c6b827ce8ae0d883d0cebcde">ResizeLayer</a>, <a class="el" href="classarmnn_1_1_rsqrt_layer.html#a71a3d84b5820d9777ed92a570e4fb75b">RsqrtLayer</a>, <a class="el" href="classarmnn_1_1_slice_layer.html#af58dcf66fc1339a693e4087791b6a0fc">SliceLayer</a>, <a class="el" href="classarmnn_1_1_softmax_layer.html#a3df177d5eaa4d11373609991930ce3cd">SoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_stack_layer.html#ae4e60b5523a7a1db08e9c87915b5a88e">StackLayer</a>, <a class="el" href="classarmnn_1_1_strided_slice_layer.html#aaa60bec8ce7cb41f20dd031b5e9ece03">StridedSliceLayer</a>, <a class="el" href="classarmnn_1_1_switch_layer.html#a99c6c028dc7f110a2cc01a9e8e3966d1">SwitchLayer</a>, <a class="el" href="classarmnn_1_1_activation_layer.html#aa5206ffba99e78aa257977c30de096d8">ActivationLayer</a>, and <a class="el" href="classarmnn_1_1_quantize_layer.html#ab5045fc8d66572ecba03096ced51a994">QuantizeLayer</a>.</p>
559
560<p class="reference">Referenced by <a class="el" href="_graph_8cpp_source.html#l00028">Graph::Graph()</a>.</p>
561
562</div>
563</div>
564<a id="aa10fd205c3f5469a9ecb2aa2a3ffd101"></a>
565<h2 class="memtitle"><span class="permalink"><a href="#aa10fd205c3f5469a9ecb2aa2a3ffd101">&#9670;&nbsp;</a></span>CloneBase()</h2>
566
567<div class="memitem">
568<div class="memproto">
569<table class="mlabels">
570 <tr>
571 <td class="mlabels-left">
572 <table class="memname">
573 <tr>
574 <td class="memname"><a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> * CloneBase </td>
575 <td>(</td>
576 <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.html">Graph</a> &amp;&#160;</td>
577 <td class="paramname"><em>graph</em>, </td>
578 </tr>
579 <tr>
580 <td class="paramkey"></td>
581 <td></td>
582 <td class="paramtype">Params &amp;&amp;...&#160;</td>
583 <td class="paramname"><em>params</em>&#160;</td>
584 </tr>
585 <tr>
586 <td></td>
587 <td>)</td>
588 <td></td><td> const</td>
589 </tr>
590 </table>
591 </td>
592 <td class="mlabels-right">
593<span class="mlabels"><span class="mlabel">protected</span></span> </td>
594 </tr>
595</table>
596</div><div class="memdoc">
597
598<p class="definition">Definition at line <a class="el" href="_layer_clone_base_8hpp_source.html#l00014">14</a> of file <a class="el" href="_layer_clone_base_8hpp_source.html">LayerCloneBase.hpp</a>.</p>
599
600<p class="reference">References <a class="el" href="_graph_8hpp_source.html#l00397">Graph::AddLayer()</a>, <a class="el" href="_layer_8hpp_source.html#l00263">Layer::GetBackendId()</a>, and <a class="el" href="_layer_8hpp_source.html#l00316">Layer::GetGuid()</a>.</p>
601<div class="fragment"><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;{</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160; <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>* <span class="keyword">const</span> layer = graph.AddLayer&lt;<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>&gt;(std::forward&lt;Params&gt;(params)...);</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; layer-&gt;SetBackendId(<a class="code" href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>());</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; layer-&gt;SetGuid(<a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>());</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <span class="keywordflow">return</span> layer;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_layer_html_a8dc12f0ee5b232d397bd18ced1a72a64"><div class="ttname"><a href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">armnn::Layer::GetGuid</a></div><div class="ttdeci">LayerGuid GetGuid() const final</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00316">Layer.hpp:316</a></div></div>
602<div class="ttc" id="classarmnn_1_1_layer_html_afdb1d37740e7a083b625d669588b6a0e"><div class="ttname"><a href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">armnn::Layer::GetBackendId</a></div><div class="ttdeci">const BackendId &amp; GetBackendId() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00263">Layer.hpp:263</a></div></div>
603<div class="ttc" id="namespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.html#l00014">InternalTypes.hpp:14</a></div></div>
604</div><!-- fragment -->
605</div>
606</div>
607<a id="afc3239f5fc116259bf5451964e803646"></a>
608<h2 class="memtitle"><span class="permalink"><a href="#afc3239f5fc116259bf5451964e803646">&#9670;&nbsp;</a></span>CollectQueueDescriptorInputs()</h2>
609
610<div class="memitem">
611<div class="memproto">
612<table class="mlabels">
613 <tr>
614 <td class="mlabels-left">
615 <table class="memname">
616 <tr>
617 <td class="memname">void CollectQueueDescriptorInputs </td>
618 <td>(</td>
619 <td class="paramtype"><a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> &amp;&#160;</td>
620 <td class="paramname"><em>descriptor</em>, </td>
621 </tr>
622 <tr>
623 <td class="paramkey"></td>
624 <td></td>
625 <td class="paramtype"><a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;&#160;</td>
626 <td class="paramname"><em>info</em>&#160;</td>
627 </tr>
628 <tr>
629 <td></td>
630 <td>)</td>
631 <td></td><td> const</td>
632 </tr>
633 </table>
634 </td>
635 <td class="mlabels-right">
636<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">protected</span></span> </td>
637 </tr>
638</table>
639</div><div class="memdoc">
640
641<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00329">329</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
642
643<p class="reference">References <a class="el" href="_workload_data_8hpp_source.html#l00030">QueueDescriptor::m_Inputs</a>, and <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00018">WorkloadInfo::m_InputTensorInfos</a>.</p>
644<div class="fragment"><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; {</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; WorkloadDataCollector dataCollector(descriptor.m_Inputs, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos);</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; CollectWorkloadInputs(dataCollector);</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; }</div><div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
645</div><!-- fragment -->
646</div>
647</div>
648<a id="a499ca5a94d0174ed21786b6994b2cd8c"></a>
649<h2 class="memtitle"><span class="permalink"><a href="#a499ca5a94d0174ed21786b6994b2cd8c">&#9670;&nbsp;</a></span>CollectQueueDescriptorOutputs()</h2>
650
651<div class="memitem">
652<div class="memproto">
653<table class="mlabels">
654 <tr>
655 <td class="mlabels-left">
656 <table class="memname">
657 <tr>
658 <td class="memname">void CollectQueueDescriptorOutputs </td>
659 <td>(</td>
660 <td class="paramtype"><a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> &amp;&#160;</td>
661 <td class="paramname"><em>descriptor</em>, </td>
662 </tr>
663 <tr>
664 <td class="paramkey"></td>
665 <td></td>
666 <td class="paramtype"><a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;&#160;</td>
667 <td class="paramname"><em>info</em>&#160;</td>
668 </tr>
669 <tr>
670 <td></td>
671 <td>)</td>
672 <td></td><td> const</td>
673 </tr>
674 </table>
675 </td>
676 <td class="mlabels-right">
677<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">protected</span></span> </td>
678 </tr>
679</table>
680</div><div class="memdoc">
681
682<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00336">336</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
683
684<p class="reference">References <a class="el" href="_workload_data_8hpp_source.html#l00031">QueueDescriptor::m_Outputs</a>, and <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00019">WorkloadInfo::m_OutputTensorInfos</a>.</p>
685<div class="fragment"><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; {</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; WorkloadDataCollector dataCollector(descriptor.m_Outputs, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos);</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; CollectWorkloadOutputs(dataCollector);</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; }</div><div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
686</div><!-- fragment -->
687</div>
688</div>
689<a id="a3ff62126ec713a2708e5fbaa6146a7de"></a>
690<h2 class="memtitle"><span class="permalink"><a href="#a3ff62126ec713a2708e5fbaa6146a7de">&#9670;&nbsp;</a></span>CreateTensorHandles()</h2>
691
692<div class="memitem">
693<div class="memproto">
694<table class="mlabels">
695 <tr>
696 <td class="mlabels-left">
697 <table class="memname">
698 <tr>
699 <td class="memname">void CreateTensorHandles </td>
700 <td>(</td>
701 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> &amp;&#160;</td>
702 <td class="paramname"><em>registry</em>, </td>
703 </tr>
704 <tr>
705 <td class="paramkey"></td>
706 <td></td>
707 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a> &amp;&#160;</td>
708 <td class="paramname"><em>factory</em>, </td>
709 </tr>
710 <tr>
711 <td class="paramkey"></td>
712 <td></td>
713 <td class="paramtype">const bool&#160;</td>
714 <td class="paramname"><em>IsMemoryManaged</em> = <code><a class="el" href="_ref_layer_tests_8cpp.html#a37f1c3ccc9fc906be85185350dd83d48">true</a></code>&#160;</td>
715 </tr>
716 <tr>
717 <td></td>
718 <td>)</td>
719 <td></td><td></td>
720 </tr>
721 </table>
722 </td>
723 <td class="mlabels-right">
724<span class="mlabels"><span class="mlabel">virtual</span></span> </td>
725 </tr>
726</table>
727</div><div class="memdoc">
728
729<p>Reimplemented in <a class="el" href="classarmnn_1_1_splitter_layer.html#a7763728321afb4eb0d1d00323c3e9121">SplitterLayer</a>, <a class="el" href="classarmnn_1_1_concat_layer.html#a7763728321afb4eb0d1d00323c3e9121">ConcatLayer</a>, and <a class="el" href="classarmnn_1_1_output_layer.html#aa88768cc82b080dddd5737bd91683649">OutputLayer</a>.</p>
730
731<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.html#l00239">239</a> of file <a class="el" href="_layer_8cpp_source.html">Layer.cpp</a>.</p>
732
733<p class="reference">References <a class="el" href="_output_handler_8cpp_source.html#l00023">OutputHandler::CreateTensorHandles()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00039">TensorHandleFactoryRegistry::GetFactory()</a>, <a class="el" href="_layer_8hpp_source.html#l00308">Layer::GetNumOutputSlots()</a>, <a class="el" href="_layer_8hpp_source.html#l00221">Layer::GetOutputHandler()</a>, <a class="el" href="_layer_8hpp_source.html#l00312">Layer::GetOutputSlot()</a>, <a class="el" href="_layer_8cpp_source.html#l00172">OutputSlot::GetTensorHandleFactoryId()</a>, and <a class="el" href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.html#l00022">ITensorHandleFactory::LegacyFactoryId</a>.</p>
734<div class="fragment"><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;{</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx=0; idx &lt; <a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>(); idx++)</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; {</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; OutputSlot&amp; slot = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(idx);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> factoryId = slot.GetTensorHandleFactoryId();</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160;</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; OutputHandler&amp; handler = <a class="code" href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>(idx);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; <span class="keywordflow">if</span> (factoryId == <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>)</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; {</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; handler.CreateTensorHandles(workloadFactory, IsMemoryManaged);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; }</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; {</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; ITensorHandleFactory* handleFactory = registry.GetFactory(factoryId);</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; BOOST_ASSERT(handleFactory);</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; handler.CreateTensorHandles(*handleFactory, IsMemoryManaged);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; }</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; }</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_layer_html_af2c0edc7ea62a8baaec4d3d9b2b09256"><div class="ttname"><a href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">armnn::Layer::GetOutputHandler</a></div><div class="ttdeci">const OutputHandler &amp; GetOutputHandler(unsigned int i=0) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00221">Layer.hpp:221</a></div></div>
735<div class="ttc" id="classarmnn_1_1_layer_html_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">armnn::Layer::GetNumOutputSlots</a></div><div class="ttdeci">unsigned int GetNumOutputSlots() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00308">Layer.hpp:308</a></div></div>
736<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_html_a9c95f90eb40e31f629e0e2947b8bc6f9"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">armnn::ITensorHandleFactory::LegacyFactoryId</a></div><div class="ttdeci">static const FactoryId LegacyFactoryId</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.html#l00022">ITensorHandleFactory.hpp:22</a></div></div>
737<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_html_a32f4aa6a7089d877af08928139c2c277"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">armnn::ITensorHandleFactory::FactoryId</a></div><div class="ttdeci">std::string FactoryId</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.html#l00021">ITensorHandleFactory.hpp:21</a></div></div>
738<div class="ttc" id="classarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot &amp; GetOutputSlot(unsigned int index=0) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00312">Layer.hpp:312</a></div></div>
739</div><!-- fragment -->
740</div>
741</div>
742<a id="a08d1e10a45f15cd0bd02557be35a3864"></a>
743<h2 class="memtitle"><span class="permalink"><a href="#a08d1e10a45f15cd0bd02557be35a3864">&#9670;&nbsp;</a></span>CreateWorkload()</h2>
744
745<div class="memitem">
746<div class="memproto">
747<table class="mlabels">
748 <tr>
749 <td class="mlabels-left">
750 <table class="memname">
751 <tr>
752 <td class="memname">virtual std::unique_ptr&lt;<a class="el" href="classarmnn_1_1_i_workload.html">IWorkload</a>&gt; CreateWorkload </td>
753 <td>(</td>
754 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a> &amp;&#160;</td>
755 <td class="paramname"><em>factory</em></td><td>)</td>
756 <td> const</td>
757 </tr>
758 </table>
759 </td>
760 <td class="mlabels-right">
761<span class="mlabels"><span class="mlabel">pure virtual</span></span> </td>
762 </tr>
763</table>
764</div><div class="memdoc">
765
766<p>Implemented in <a class="el" href="classarmnn_1_1_lstm_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">LstmLayer</a>, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">QuantizedLstmLayer</a>, <a class="el" href="classarmnn_1_1_batch_normalization_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">BatchNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_convolution2d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_pre_compiled_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">PreCompiledLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_fully_connected_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">FullyConnectedLayer</a>, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">TransposeConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_detection_post_process_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">DetectionPostProcessLayer</a>, <a class="el" href="classarmnn_1_1_constant_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">ConstantLayer</a>, <a class="el" href="classarmnn_1_1_arg_min_max_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">ArgMinMaxLayer</a>, <a class="el" href="classarmnn_1_1_comparison_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">ComparisonLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp16_to_fp32_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">ConvertFp16ToFp32Layer</a>, <a class="el" href="classarmnn_1_1_depth_to_space_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">DepthToSpaceLayer</a>, <a class="el" href="classarmnn_1_1_division_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">DivisionLayer</a>, <a class="el" href="classarmnn_1_1_elementwise_unary_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">ElementwiseUnaryLayer</a>, <a class="el" href="classarmnn_1_1_gather_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">GatherLayer</a>, <a class="el" href="classarmnn_1_1_log_softmax_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">LogSoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_maximum_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">MaximumLayer</a>, <a class="el" href="classarmnn_1_1_mean_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">MeanLayer</a>, <a class="el" href="classarmnn_1_1_minimum_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">MinimumLayer</a>, <a class="el" href="classarmnn_1_1_multiplication_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">MultiplicationLayer</a>, <a class="el" href="classarmnn_1_1_pad_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">PadLayer</a>, <a class="el" href="classarmnn_1_1_prelu_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">PreluLayer</a>, <a class="el" href="classarmnn_1_1_space_to_batch_nd_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">SpaceToBatchNdLayer</a>, <a class="el" href="classarmnn_1_1_space_to_depth_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">SpaceToDepthLayer</a>, <a class="el" href="classarmnn_1_1_stand_in_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">StandInLayer</a>, <a class="el" href="classarmnn_1_1_subtraction_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">SubtractionLayer</a>, <a class="el" href="classarmnn_1_1_abs_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">AbsLayer</a>, <a class="el" href="classarmnn_1_1_addition_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">AdditionLayer</a>, <a class="el" href="classarmnn_1_1_batch_to_space_nd_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">BatchToSpaceNdLayer</a>, <a class="el" href="classarmnn_1_1_concat_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">ConcatLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp32_to_fp16_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">ConvertFp32ToFp16Layer</a>, <a class="el" href="classarmnn_1_1_debug_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">DebugLayer</a>, <a class="el" href="classarmnn_1_1_dequantize_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">DequantizeLayer</a>, <a class="el" href="classarmnn_1_1_fake_quantization_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">FakeQuantizationLayer</a>, <a class="el" href="classarmnn_1_1_floor_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">FloorLayer</a>, <a class="el" href="classarmnn_1_1_input_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">InputLayer</a>, <a class="el" href="classarmnn_1_1_instance_normalization_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">InstanceNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_l2_normalization_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">L2NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_mem_copy_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">MemCopyLayer</a>, <a class="el" href="classarmnn_1_1_mem_import_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">MemImportLayer</a>, <a class="el" href="classarmnn_1_1_merge_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">MergeLayer</a>, <a class="el" href="classarmnn_1_1_normalization_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_output_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">OutputLayer</a>, <a class="el" href="classarmnn_1_1_permute_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">PermuteLayer</a>, <a class="el" href="classarmnn_1_1_pooling2d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">Pooling2dLayer</a>, <a class="el" href="classarmnn_1_1_quantize_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">QuantizeLayer</a>, <a class="el" href="classarmnn_1_1_reshape_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">ReshapeLayer</a>, <a class="el" href="classarmnn_1_1_resize_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">ResizeLayer</a>, <a class="el" href="classarmnn_1_1_rsqrt_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">RsqrtLayer</a>, <a class="el" href="classarmnn_1_1_slice_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">SliceLayer</a>, <a class="el" href="classarmnn_1_1_softmax_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">SoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_splitter_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">SplitterLayer</a>, <a class="el" href="classarmnn_1_1_stack_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">StackLayer</a>, <a class="el" href="classarmnn_1_1_strided_slice_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">StridedSliceLayer</a>, <a class="el" href="classarmnn_1_1_switch_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">SwitchLayer</a>, and <a class="el" href="classarmnn_1_1_activation_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">ActivationLayer</a>.</p>
767
768</div>
769</div>
770<a id="a9752e12d6b79e18da1a25f76159d2a72"></a>
771<h2 class="memtitle"><span class="permalink"><a href="#a9752e12d6b79e18da1a25f76159d2a72">&#9670;&nbsp;</a></span>EndInputSlots()</h2>
772
773<div class="memitem">
774<div class="memproto">
775<table class="mlabels">
776 <tr>
777 <td class="mlabels-left">
778 <table class="memname">
779 <tr>
780 <td class="memname">std::vector&lt;<a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a>&gt;::iterator EndInputSlots </td>
781 <td>(</td>
782 <td class="paramname"></td><td>)</td>
783 <td></td>
784 </tr>
785 </table>
786 </td>
787 <td class="mlabels-right">
788<span class="mlabels"><span class="mlabel">inline</span></span> </td>
789 </tr>
790</table>
791</div><div class="memdoc">
792
793<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00236">236</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
794
795<p class="reference">Referenced by <a class="el" href="_network_utils_8cpp_source.html#l00040">armnn::InsertConvertFp16ToFp32LayersBefore()</a>, <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.html#l00018">ConvertFp32NetworkToFp16Impl::Run()</a>, and <a class="el" href="_move_permute_up_8hpp_source.html#l00022">MovePermuteUpImpl::Run()</a>.</p>
796<div class="fragment"><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160;{ <span class="keywordflow">return</span> m_InputSlots.end(); }</div></div><!-- fragment -->
797</div>
798</div>
799<a id="a55f76d98fcd2f5cdac3e2b14536cb7ab"></a>
800<h2 class="memtitle"><span class="permalink"><a href="#a55f76d98fcd2f5cdac3e2b14536cb7ab">&#9670;&nbsp;</a></span>EndOutputSlots()</h2>
801
802<div class="memitem">
803<div class="memproto">
804<table class="mlabels">
805 <tr>
806 <td class="mlabels-left">
807 <table class="memname">
808 <tr>
809 <td class="memname">std::vector&lt;<a class="el" href="classarmnn_1_1_output_slot.html">OutputSlot</a>&gt;::iterator EndOutputSlots </td>
810 <td>(</td>
811 <td class="paramname"></td><td>)</td>
812 <td></td>
813 </tr>
814 </table>
815 </td>
816 <td class="mlabels-right">
817<span class="mlabels"><span class="mlabel">inline</span></span> </td>
818 </tr>
819</table>
820</div><div class="memdoc">
821
822<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00240">240</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
823
824<p class="reference">Referenced by <a class="el" href="_network_utils_8cpp_source.html#l00112">armnn::InsertDebugLayerAfter()</a>, and <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.html#l00018">ConvertFp32NetworkToFp16Impl::Run()</a>.</p>
825<div class="fragment"><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160;{ <span class="keywordflow">return</span> m_OutputSlots.end(); }</div></div><!-- fragment -->
826</div>
827</div>
828<a id="afdb1d37740e7a083b625d669588b6a0e"></a>
829<h2 class="memtitle"><span class="permalink"><a href="#afdb1d37740e7a083b625d669588b6a0e">&#9670;&nbsp;</a></span>GetBackendId()</h2>
830
831<div class="memitem">
832<div class="memproto">
833<table class="mlabels">
834 <tr>
835 <td class="mlabels-left">
836 <table class="memname">
837 <tr>
838 <td class="memname">const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a>&amp; GetBackendId </td>
839 <td>(</td>
840 <td class="paramname"></td><td>)</td>
841 <td> const</td>
842 </tr>
843 </table>
844 </td>
845 <td class="mlabels-right">
846<span class="mlabels"><span class="mlabel">inline</span></span> </td>
847 </tr>
848</table>
849</div><div class="memdoc">
850
851<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00263">263</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
852
853<p class="reference">Referenced by <a class="el" href="_graph_8cpp_source.html#l00263">Graph::AddCompatibilityLayers()</a>, <a class="el" href="_network_8cpp_source.html#l00345">armnn::ApplyBackendOptimizations()</a>, <a class="el" href="_subgraph_view_tests_8cpp_source.html#l01337">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_network_8cpp_source.html#l00664">armnn::CalculateEdgeStrategy()</a>, <a class="el" href="_network_8cpp_source.html#l00555">armnn::CalculateSlotOption()</a>, <a class="el" href="_network_8cpp_source.html#l00463">armnn::CalculateSlotOptionForInput()</a>, <a class="el" href="_layer_clone_base_8hpp_source.html#l00014">Layer::CloneBase()</a>, <a class="el" href="_loaded_network_8cpp_source.html#l00277">LoadedNetwork::GetOutputTensorInfo()</a>, and <a class="el" href="_network_8cpp_source.html#l00741">armnn::SelectTensorHandleStrategy()</a>.</p>
854<div class="fragment"><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160;{ <span class="keywordflow">return</span> m_BackendId; }</div></div><!-- fragment -->
855</div>
856</div>
857<a id="afbeac2d77ecaadc3e303a163b4146961"></a>
858<h2 class="memtitle"><span class="permalink"><a href="#afbeac2d77ecaadc3e303a163b4146961">&#9670;&nbsp;</a></span>GetConstantTensorsByRef()</h2>
859
860<div class="memitem">
861<div class="memproto">
862<table class="mlabels">
863 <tr>
864 <td class="mlabels-left">
865 <table class="memname">
866 <tr>
867 <td class="memname">virtual <a class="el" href="classarmnn_1_1_layer.html#a585d59ec610af46a76487fd6c1c55ac1">ConstantTensors</a> GetConstantTensorsByRef </td>
868 <td>(</td>
869 <td class="paramname"></td><td>)</td>
870 <td></td>
871 </tr>
872 </table>
873 </td>
874 <td class="mlabels-right">
875<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span> </td>
876 </tr>
877</table>
878</div><div class="memdoc">
879
880<p>Reimplemented in <a class="el" href="classarmnn_1_1_lstm_layer.html#abe659a5afa7523f5dbc04bcba9b31f1a">LstmLayer</a>, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.html#abe659a5afa7523f5dbc04bcba9b31f1a">QuantizedLstmLayer</a>, <a class="el" href="classarmnn_1_1_convolution2d_layer.html#abe659a5afa7523f5dbc04bcba9b31f1a">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#abe659a5afa7523f5dbc04bcba9b31f1a">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_fully_connected_layer.html#abe659a5afa7523f5dbc04bcba9b31f1a">FullyConnectedLayer</a>, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html#abe659a5afa7523f5dbc04bcba9b31f1a">TransposeConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_batch_normalization_layer.html#abe659a5afa7523f5dbc04bcba9b31f1a">BatchNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_constant_layer.html#a8107df0f1cbbd67eaf174d9459f3669d">ConstantLayer</a>, and <a class="el" href="classarmnn_1_1_detection_post_process_layer.html#abe659a5afa7523f5dbc04bcba9b31f1a">DetectionPostProcessLayer</a>.</p>
881
882<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00357">357</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
883<div class="fragment"><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160;{<span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer.html#a585d59ec610af46a76487fd6c1c55ac1">ConstantTensors</a>(); };</div><div class="ttc" id="classarmnn_1_1_layer_html_a585d59ec610af46a76487fd6c1c55ac1"><div class="ttname"><a href="classarmnn_1_1_layer.html#a585d59ec610af46a76487fd6c1c55ac1">armnn::Layer::ConstantTensors</a></div><div class="ttdeci">std::vector&lt; std::reference_wrapper&lt; std::unique_ptr&lt; ScopedCpuTensorHandle &gt; &gt;&gt; ConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00356">Layer.hpp:356</a></div></div>
884</div><!-- fragment -->
885</div>
886</div>
887<a id="aea909c7327109228ef618d459015def3"></a>
888<h2 class="memtitle"><span class="permalink"><a href="#aea909c7327109228ef618d459015def3">&#9670;&nbsp;</a></span>GetDataType()</h2>
889
890<div class="memitem">
891<div class="memproto">
892 <table class="memname">
893 <tr>
894 <td class="memname"><a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> GetDataType </td>
895 <td>(</td>
896 <td class="paramname"></td><td>)</td>
897 <td> const</td>
898 </tr>
899 </table>
900</div><div class="memdoc">
901
902<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.html#l00272">272</a> of file <a class="el" href="_layer_8cpp_source.html">Layer.cpp</a>.</p>
903
904<p class="reference">References <a class="el" href="_layer_8hpp_source.html#l00199">InputSlot::GetConnection()</a>, <a class="el" href="_tensor_8hpp_source.html#l00095">TensorInfo::GetDataType()</a>, <a class="el" href="_layer_8hpp_source.html#l00310">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00307">Layer::GetNumInputSlots()</a>, <a class="el" href="_layer_8hpp_source.html#l00312">Layer::GetOutputSlot()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, and <a class="el" href="_layer_8cpp_source.html#l00063">OutputSlot::GetTensorInfo()</a>.</p>
905
906<p class="reference">Referenced by <a class="el" href="_optimizer_tests_8cpp_source.html#l00156">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.html#l00018">ConvertFp32NetworkToFp16Impl::Run()</a>, <a class="el" href="_convert_constants_8hpp_source.html#l00086">IsFloat32Layer::Test()</a>, and <a class="el" href="_convert_constants_8hpp_source.html#l00094">IsFloat16Layer::Test()</a>.</p>
907<div class="fragment"><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160;{</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() &gt; 0) <span class="comment">// Ignore the input layer.</span></div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; {</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>()-&gt;<a class="code" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>();</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; }</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>();</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_i_output_slot_html_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo &amp; GetTensorInfo() const =0</div></div>
908<div class="ttc" id="classarmnn_1_1_input_slot_html_a3153abb7c0c0a84629079b2fac7db54f"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#a3153abb7c0c0a84629079b2fac7db54f">armnn::InputSlot::GetConnection</a></div><div class="ttdeci">const IOutputSlot * GetConnection() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00199">Layer.hpp:199</a></div></div>
909<div class="ttc" id="classarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00095">Tensor.hpp:95</a></div></div>
910<div class="ttc" id="classarmnn_1_1_layer_html_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">armnn::Layer::GetNumInputSlots</a></div><div class="ttdeci">unsigned int GetNumInputSlots() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00307">Layer.hpp:307</a></div></div>
911<div class="ttc" id="classarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00063">Layer.cpp:63</a></div></div>
912<div class="ttc" id="classarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot &amp; GetOutputSlot(unsigned int index=0) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00312">Layer.hpp:312</a></div></div>
913<div class="ttc" id="classarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot &amp; GetInputSlot(unsigned int index) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00310">Layer.hpp:310</a></div></div>
914</div><!-- fragment -->
915</div>
916</div>
917<a id="a8dc12f0ee5b232d397bd18ced1a72a64"></a>
918<h2 class="memtitle"><span class="permalink"><a href="#a8dc12f0ee5b232d397bd18ced1a72a64">&#9670;&nbsp;</a></span>GetGuid()</h2>
919
920<div class="memitem">
921<div class="memproto">
922<table class="mlabels">
923 <tr>
924 <td class="mlabels-left">
925 <table class="memname">
926 <tr>
927 <td class="memname"><a class="el" href="namespacearmnn.html#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a> GetGuid </td>
928 <td>(</td>
929 <td class="paramname"></td><td>)</td>
930 <td> const</td>
931 </tr>
932 </table>
933 </td>
934 <td class="mlabels-right">
935<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">final</span><span class="mlabel">virtual</span></span> </td>
936 </tr>
937</table>
938</div><div class="memdoc">
939
940<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.html#afb5e65c770f6cee222db8af7581541a6">IConnectableLayer</a>.</p>
941
942<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00316">316</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
943
944<p class="reference">Referenced by <a class="el" href="_layer_clone_base_8hpp_source.html#l00014">Layer::CloneBase()</a>, <a class="el" href="_debug_layer_8cpp_source.html#l00021">DebugLayer::CreateWorkload()</a>, <a class="el" href="_layer_8cpp_source.html#l00162">OutputSlot::GetOwningLayerGuid()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.html#l00014">QuantizerVisitor::QuantizerVisitor()</a>, and <a class="el" href="_graph_8cpp_source.html#l00081">Graph::SerializeToDot()</a>.</p>
945<div class="fragment"><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160;{ <span class="keywordflow">return</span> m_Guid; }</div></div><!-- fragment -->
946</div>
947</div>
948<a id="acf8b8e23bf647836592982f97088d375"></a>
949<h2 class="memtitle"><span class="permalink"><a href="#acf8b8e23bf647836592982f97088d375">&#9670;&nbsp;</a></span>GetInputSlot() <span class="overload">[1/2]</span></h2>
950
951<div class="memitem">
952<div class="memproto">
953<table class="mlabels">
954 <tr>
955 <td class="mlabels-left">
956 <table class="memname">
957 <tr>
958 <td class="memname">const <a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a>&amp; GetInputSlot </td>
959 <td>(</td>
960 <td class="paramtype">unsigned int&#160;</td>
961 <td class="paramname"><em>index</em></td><td>)</td>
962 <td> const</td>
963 </tr>
964 </table>
965 </td>
966 <td class="mlabels-right">
967<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
968 </tr>
969</table>
970</div><div class="memdoc">
971
972<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer</a>.</p>
973
974<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00310">310</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
975
976<p class="reference">Referenced by <a class="el" href="_graph_tests_8cpp_source.html#l00043">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_graph_tests_8cpp_source.html#l00552">BOOST_FIXTURE_TEST_CASE()</a>, <a class="el" href="_optimizer_tests_8cpp_source.html#l00249">CreateConvolution2dGraph()</a>, <a class="el" href="_optimizer_tests_8cpp_source.html#l00299">CreateDepthwiseConvolution2dGraph()</a>, <a class="el" href="_optimizer_tests_8cpp_source.html#l00441">CreateGatherGraph()</a>, <a class="el" href="_optimizer_tests_8cpp_source.html#l00349">CreatePooling2dGraph()</a>, <a class="el" href="_optimizer_tests_8cpp_source.html#l00397">CreateResizeBilinearGraph()</a>, <a class="el" href="_concat_layer_8cpp_source.html#l00022">ConcatLayer::CreateWorkload()</a>, <a class="el" href="_debug_layer_8cpp_source.html#l00021">DebugLayer::CreateWorkload()</a>, <a class="el" href="_layer_8cpp_source.html#l00272">Layer::GetDataType()</a>, <a class="el" href="_graph_8cpp_source.html#l00028">Graph::Graph()</a>, <a class="el" href="_layer_8cpp_source.html#l00020">InputSlot::Insert()</a>, <a class="el" href="_network_utils_8cpp_source.html#l00040">armnn::InsertConvertFp16ToFp32LayersBefore()</a>, <a class="el" href="_network_utils_8cpp_source.html#l00079">armnn::InsertConvertFp32ToFp16LayersAfter()</a>, <a class="el" href="_network_utils_8cpp_source.html#l00112">armnn::InsertDebugLayerAfter()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l00045">IWorkloadFactory::IsLayerSupported()</a>, <a class="el" href="_permute_as_reshape_8hpp_source.html#l00018">PermuteAsReshapeImpl::Run()</a>, <a class="el" href="_fold_pad_into_convolution2d_8hpp_source.html#l00019">FoldPadIntoConvolution2dImpl::Run()</a>, <a class="el" href="_optimize_consecutive_reshapes_8hpp_source.html#l00019">OptimizeConsecutiveReshapesImpl::Run()</a>, <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8cpp_source.html#l00011">PermuteAndBatchToSpaceAsDepthToSpaceImpl::Run()</a>, <a class="el" href="_optimize_inverse_conversions_8hpp_source.html#l00021">OptimizeInverseConversionsImpl::Run()</a>, <a class="el" href="_optimize_inverse_permutes_8hpp_source.html#l00021">OptimizeInversePermutesImpl::Run()</a>, <a class="el" href="_move_permute_up_8hpp_source.html#l00022">MovePermuteUpImpl::Run()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00029">DepthwiseConvolution2dLayer::SerializeLayerParameters()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00029">Convolution2dLayer::SerializeLayerParameters()</a>, <a class="el" href="_elementwise_base_layer_8cpp_source.html#l00051">ElementwiseBaseLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_quantize_layer_8cpp_source.html#l00032">QuantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_activation_layer_8cpp_source.html#l00031">ActivationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_slice_layer_8cpp_source.html#l00037">SliceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp32_to_fp16_layer_8cpp_source.html#l00032">ConvertFp32ToFp16Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_batch_to_space_nd_layer_8cpp_source.html#l00044">BatchToSpaceNdLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_import_layer_8cpp_source.html#l00036">MemImportLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_copy_layer_8cpp_source.html#l00036">MemCopyLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_debug_layer_8cpp_source.html#l00038">DebugLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_merge_layer_8cpp_source.html#l00030">MergeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_normalization_layer_8cpp_source.html#l00032">NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_permute_layer_8cpp_source.html#l00043">PermuteLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_softmax_layer_8cpp_source.html#l00032">SoftmaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.html#l00103">Pooling2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_instance_normalization_layer_8cpp_source.html#l00032">InstanceNormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_dequantize_layer_8cpp_source.html#l00032">DequantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_resize_layer_8cpp_source.html#l00056">ResizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_abs_layer_8cpp_source.html#l00033">AbsLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_rsqrt_layer_8cpp_source.html#l00033">RsqrtLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fake_quantization_layer_8cpp_source.html#l00032">FakeQuantizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_floor_layer_8cpp_source.html#l00032">FloorLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_stack_layer_8cpp_source.html#l00061">StackLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_l2_normalization_layer_8cpp_source.html#l00032">L2NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_switch_layer_8cpp_source.html#l00030">SwitchLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mean_layer_8cpp_source.html#l00041">MeanLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp16_to_fp32_layer_8cpp_source.html#l00033">ConvertFp16ToFp32Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_gather_layer_8cpp_source.html#l00032">GatherLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_log_softmax_layer_8cpp_source.html#l00032">LogSoftmaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_strided_slice_layer_8cpp_source.html#l00076">StridedSliceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.html#l00072">ArgMinMaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_elementwise_unary_layer_8cpp_source.html#l00043">ElementwiseUnaryLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00097">TransposeConvolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00122">DepthwiseConvolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_comparison_layer_8cpp_source.html#l00058">ComparisonLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fully_connected_layer_8cpp_source.html#l00064">FullyConnectedLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_space_to_depth_layer_8cpp_source.html#l00064">SpaceToDepthLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.html#l00060">DepthToSpaceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_space_to_batch_nd_layer_8cpp_source.html#l00069">SpaceToBatchNdLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_prelu_layer_8cpp_source.html#l00097">PreluLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00115">Convolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_concat_layer_8cpp_source.html#l00244">ConcatLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_batch_normalization_layer_8cpp_source.html#l00051">BatchNormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_output_layer_8cpp_source.html#l00033">OutputLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00094">QuantizedLstmLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_lstm_layer_8cpp_source.html#l00160">LstmLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_layer_8cpp_source.html#l00337">Layer::VerifyLayerConnections()</a>.</p>
977<div class="fragment"><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160;{ <span class="keywordflow">return</span> m_InputSlots.at(index); }</div></div><!-- fragment -->
978</div>
979</div>
980<a id="a1b50eb1358cdf382f4bc3fc8849f8e8e"></a>
981<h2 class="memtitle"><span class="permalink"><a href="#a1b50eb1358cdf382f4bc3fc8849f8e8e">&#9670;&nbsp;</a></span>GetInputSlot() <span class="overload">[2/2]</span></h2>
982
983<div class="memitem">
984<div class="memproto">
985<table class="mlabels">
986 <tr>
987 <td class="mlabels-left">
988 <table class="memname">
989 <tr>
990 <td class="memname"><a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a>&amp; GetInputSlot </td>
991 <td>(</td>
992 <td class="paramtype">unsigned int&#160;</td>
993 <td class="paramname"><em>index</em></td><td>)</td>
994 <td></td>
995 </tr>
996 </table>
997 </td>
998 <td class="mlabels-right">
999<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1000 </tr>
1001</table>
1002</div><div class="memdoc">
1003
1004<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.html#ae3fd4f909aec6a9e150ba82dfad4017f">IConnectableLayer</a>.</p>
1005
1006<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00311">311</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1007<div class="fragment"><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160;{ <span class="keywordflow">return</span> m_InputSlots.at(index); }</div></div><!-- fragment -->
1008</div>
1009</div>
1010<a id="af5f530544d09a44d726f24702b67b35b"></a>
1011<h2 class="memtitle"><span class="permalink"><a href="#af5f530544d09a44d726f24702b67b35b">&#9670;&nbsp;</a></span>GetInputSlots()</h2>
1012
1013<div class="memitem">
1014<div class="memproto">
1015<table class="mlabels">
1016 <tr>
1017 <td class="mlabels-left">
1018 <table class="memname">
1019 <tr>
1020 <td class="memname">const std::vector&lt;<a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a>&gt;&amp; GetInputSlots </td>
1021 <td>(</td>
1022 <td class="paramname"></td><td>)</td>
1023 <td> const</td>
1024 </tr>
1025 </table>
1026 </td>
1027 <td class="mlabels-right">
1028<span class="mlabels"><span class="mlabel">inline</span></span> </td>
1029 </tr>
1030</table>
1031</div><div class="memdoc">
1032
1033<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00231">231</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1034
1035<p class="reference">Referenced by <a class="el" href="_subgraph_view_tests_8cpp_source.html#l01122">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_splitter_layer_8cpp_source.html#l00021">SplitterLayer::CreateWorkload()</a>, <a class="el" href="_loaded_network_8cpp_source.html#l00412">LoadedNetwork::EnqueueWorkload()</a>, <a class="el" href="_subgraph_view_selector_8cpp_source.html#l00259">armnn::ForEachLayerInput()</a>, <a class="el" href="_layer_8cpp_source.html#l00287">Layer::GetPriority()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l00045">IWorkloadFactory::IsLayerSupported()</a>, and <a class="el" href="_layer_8cpp_source.html#l00212">Layer::Layer()</a>.</p>
1036<div class="fragment"><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160;{ <span class="keywordflow">return</span> m_InputSlots; }</div></div><!-- fragment -->
1037</div>
1038</div>
1039<a id="a7ddf0cf6f620d59c10e63495ace795d0"></a>
1040<h2 class="memtitle"><span class="permalink"><a href="#a7ddf0cf6f620d59c10e63495ace795d0">&#9670;&nbsp;</a></span>GetName()</h2>
1041
1042<div class="memitem">
1043<div class="memproto">
1044<table class="mlabels">
1045 <tr>
1046 <td class="mlabels-left">
1047 <table class="memname">
1048 <tr>
1049 <td class="memname">const char* GetName </td>
1050 <td>(</td>
1051 <td class="paramname"></td><td>)</td>
1052 <td> const</td>
1053 </tr>
1054 </table>
1055 </td>
1056 <td class="mlabels-right">
1057<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1058 </tr>
1059</table>
1060</div><div class="memdoc">
1061
1062<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.html#afcc1c3a20bd2860e0ddd21674389246f">IConnectableLayer</a>.</p>
1063
1064<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00305">305</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1065
1066<p class="reference">Referenced by <a class="el" href="_addition_layer_8cpp_source.html#l00033">AdditionLayer::Accept()</a>, <a class="el" href="_quantize_layer_8cpp_source.html#l00044">QuantizeLayer::Accept()</a>, <a class="el" href="_multiplication_layer_8cpp_source.html#l00033">MultiplicationLayer::Accept()</a>, <a class="el" href="_division_layer_8cpp_source.html#l00033">DivisionLayer::Accept()</a>, <a class="el" href="_maximum_layer_8cpp_source.html#l00032">MaximumLayer::Accept()</a>, <a class="el" href="_subtraction_layer_8cpp_source.html#l00033">SubtractionLayer::Accept()</a>, <a class="el" href="_minimum_layer_8cpp_source.html#l00033">MinimumLayer::Accept()</a>, <a class="el" href="_activation_layer_8cpp_source.html#l00045">ActivationLayer::Accept()</a>, <a class="el" href="_abs_layer_8cpp_source.html#l00047">AbsLayer::Accept()</a>, <a class="el" href="_normalization_layer_8cpp_source.html#l00046">NormalizationLayer::Accept()</a>, <a class="el" href="_floor_layer_8cpp_source.html#l00046">FloorLayer::Accept()</a>, <a class="el" href="_input_layer_8cpp_source.html#l00038">InputLayer::Accept()</a>, <a class="el" href="_instance_normalization_layer_8cpp_source.html#l00046">InstanceNormalizationLayer::Accept()</a>, <a class="el" href="_rsqrt_layer_8cpp_source.html#l00047">RsqrtLayer::Accept()</a>, <a class="el" href="_softmax_layer_8cpp_source.html#l00046">SoftmaxLayer::Accept()</a>, <a class="el" href="_l2_normalization_layer_8cpp_source.html#l00046">L2NormalizationLayer::Accept()</a>, <a class="el" href="_switch_layer_8cpp_source.html#l00054">SwitchLayer::Accept()</a>, <a class="el" href="_dequantize_layer_8cpp_source.html#l00047">DequantizeLayer::Accept()</a>, <a class="el" href="_pad_layer_8cpp_source.html#l00044">PadLayer::Accept()</a>, <a class="el" href="_gather_layer_8cpp_source.html#l00062">GatherLayer::Accept()</a>, <a class="el" href="_log_softmax_layer_8cpp_source.html#l00045">LogSoftmaxLayer::Accept()</a>, <a class="el" href="_mean_layer_8cpp_source.html#l00102">MeanLayer::Accept()</a>, <a class="el" href="_merge_layer_8cpp_source.html#l00060">MergeLayer::Accept()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.html#l00086">ArgMinMaxLayer::Accept()</a>, <a class="el" href="_detection_post_process_layer_8cpp_source.html#l00075">DetectionPostProcessLayer::Accept()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.html#l00117">Pooling2dLayer::Accept()</a>, <a class="el" href="_elementwise_unary_layer_8cpp_source.html#l00057">ElementwiseUnaryLayer::Accept()</a>, <a class="el" href="_resize_layer_8cpp_source.html#l00070">ResizeLayer::Accept()</a>, <a class="el" href="_slice_layer_8cpp_source.html#l00061">SliceLayer::Accept()</a>, <a class="el" href="_batch_to_space_nd_layer_8cpp_source.html#l00095">BatchToSpaceNdLayer::Accept()</a>, <a class="el" href="_stack_layer_8cpp_source.html#l00095">StackLayer::Accept()</a>, <a class="el" href="_strided_slice_layer_8cpp_source.html#l00090">StridedSliceLayer::Accept()</a>, <a class="el" href="_prelu_layer_8cpp_source.html#l00115">PreluLayer::Accept()</a>, <a class="el" href="_space_to_batch_nd_layer_8cpp_source.html#l00084">SpaceToBatchNdLayer::Accept()</a>, <a class="el" href="_space_to_depth_layer_8cpp_source.html#l00079">SpaceToDepthLayer::Accept()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.html#l00075">DepthToSpaceLayer::Accept()</a>, <a class="el" href="_comparison_layer_8cpp_source.html#l00074">ComparisonLayer::Accept()</a>, <a class="el" href="_stand_in_layer_8cpp_source.html#l00043">StandInLayer::Accept()</a>, <a class="el" href="_constant_layer_8cpp_source.html#l00053">ConstantLayer::Accept()</a>, <a class="el" href="_batch_normalization_layer_8cpp_source.html#l00071">BatchNormalizationLayer::Accept()</a>, <a class="el" href="_output_layer_8cpp_source.html#l00040">OutputLayer::Accept()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00120">TransposeConvolution2dLayer::Accept()</a>, <a class="el" href="_fully_connected_layer_8cpp_source.html#l00088">FullyConnectedLayer::Accept()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00147">DepthwiseConvolution2dLayer::Accept()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00139">Convolution2dLayer::Accept()</a>, <a class="el" href="_concat_layer_8cpp_source.html#l00270">ConcatLayer::Accept()</a>, <a class="el" href="_reshape_layer_8cpp_source.html#l00052">ReshapeLayer::Accept()</a>, <a class="el" href="_splitter_layer_8cpp_source.html#l00164">SplitterLayer::Accept()</a>, <a class="el" href="_permute_layer_8cpp_source.html#l00057">PermuteLayer::Accept()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00168">QuantizedLstmLayer::Accept()</a>, <a class="el" href="_lstm_layer_8cpp_source.html#l00299">LstmLayer::Accept()</a>, <a class="el" href="_graph_8cpp_source.html#l00263">Graph::AddCompatibilityLayers()</a>, <a class="el" href="_subgraph_view_tests_8cpp_source.html#l00566">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tf_parser_8cpp_source.html#l00419">armnnTfParser::CalcPadding()</a>, <a class="el" href="_quantize_layer_8cpp_source.html#l00026">QuantizeLayer::Clone()</a>, <a class="el" href="_activation_layer_8cpp_source.html#l00026">ActivationLayer::Clone()</a>, <a class="el" href="_convert_fp32_to_fp16_layer_8cpp_source.html#l00027">ConvertFp32ToFp16Layer::Clone()</a>, <a class="el" href="_rsqrt_layer_8cpp_source.html#l00028">RsqrtLayer::Clone()</a>, <a class="el" href="_dequantize_layer_8cpp_source.html#l00027">DequantizeLayer::Clone()</a>, <a class="el" href="_normalization_layer_8cpp_source.html#l00027">NormalizationLayer::Clone()</a>, <a class="el" href="_permute_layer_8cpp_source.html#l00031">PermuteLayer::Clone()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.html#l00033">Pooling2dLayer::Clone()</a>, <a class="el" href="_fake_quantization_layer_8cpp_source.html#l00027">FakeQuantizationLayer::Clone()</a>, <a class="el" href="_l2_normalization_layer_8cpp_source.html#l00027">L2NormalizationLayer::Clone()</a>, <a class="el" href="_floor_layer_8cpp_source.html#l00027">FloorLayer::Clone()</a>, <a class="el" href="_abs_layer_8cpp_source.html#l00028">AbsLayer::Clone()</a>, <a class="el" href="_reshape_layer_8cpp_source.html#l00027">ReshapeLayer::Clone()</a>, <a class="el" href="_resize_layer_8cpp_source.html#l00032">ResizeLayer::Clone()</a>, <a class="el" href="_mem_import_layer_8cpp_source.html#l00022">MemImportLayer::Clone()</a>, <a class="el" href="_switch_layer_8cpp_source.html#l00025">SwitchLayer::Clone()</a>, <a class="el" href="_slice_layer_8cpp_source.html#l00032">SliceLayer::Clone()</a>, <a class="el" href="_input_layer_8cpp_source.html#l00026">InputLayer::Clone()</a>, <a class="el" href="_instance_normalization_layer_8cpp_source.html#l00027">InstanceNormalizationLayer::Clone()</a>, <a class="el" href="_batch_to_space_nd_layer_8cpp_source.html#l00038">BatchToSpaceNdLayer::Clone()</a>, <a class="el" href="_debug_layer_8cpp_source.html#l00033">DebugLayer::Clone()</a>, <a class="el" href="_strided_slice_layer_8cpp_source.html#l00040">StridedSliceLayer::Clone()</a>, <a class="el" href="_addition_layer_8cpp_source.html#l00028">AdditionLayer::Clone()</a>, <a class="el" href="_softmax_layer_8cpp_source.html#l00027">SoftmaxLayer::Clone()</a>, <a class="el" href="_mem_copy_layer_8cpp_source.html#l00022">MemCopyLayer::Clone()</a>, <a class="el" href="_stack_layer_8cpp_source.html#l00028">StackLayer::Clone()</a>, <a class="el" href="_merge_layer_8cpp_source.html#l00025">MergeLayer::Clone()</a>, <a class="el" href="_multiplication_layer_8cpp_source.html#l00028">MultiplicationLayer::Clone()</a>, <a class="el" href="_stand_in_layer_8cpp_source.html#l00026">StandInLayer::Clone()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.html#l00030">ArgMinMaxLayer::Clone()</a>, <a class="el" href="_pad_layer_8cpp_source.html#l00030">PadLayer::Clone()</a>, <a class="el" href="_space_to_depth_layer_8cpp_source.html#l00038">SpaceToDepthLayer::Clone()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.html#l00034">DepthToSpaceLayer::Clone()</a>, <a class="el" href="_space_to_batch_nd_layer_8cpp_source.html#l00036">SpaceToBatchNdLayer::Clone()</a>, <a class="el" href="_division_layer_8cpp_source.html#l00028">DivisionLayer::Clone()</a>, <a class="el" href="_subtraction_layer_8cpp_source.html#l00028">SubtractionLayer::Clone()</a>, <a class="el" href="_elementwise_unary_layer_8cpp_source.html#l00029">ElementwiseUnaryLayer::Clone()</a>, <a class="el" href="_maximum_layer_8cpp_source.html#l00027">MaximumLayer::Clone()</a>, <a class="el" href="_convert_fp16_to_fp32_layer_8cpp_source.html#l00028">ConvertFp16ToFp32Layer::Clone()</a>, <a class="el" href="_log_softmax_layer_8cpp_source.html#l00027">LogSoftmaxLayer::Clone()</a>, <a class="el" href="_gather_layer_8cpp_source.html#l00027">GatherLayer::Clone()</a>, <a class="el" href="_prelu_layer_8cpp_source.html#l00028">PreluLayer::Clone()</a>, <a class="el" href="_mean_layer_8cpp_source.html#l00031">MeanLayer::Clone()</a>, <a class="el" href="_comparison_layer_8cpp_source.html#l00029">ComparisonLayer::Clone()</a>, <a class="el" href="_minimum_layer_8cpp_source.html#l00028">MinimumLayer::Clone()</a>, <a class="el" href="_constant_layer_8cpp_source.html#l00028">ConstantLayer::Clone()</a>, <a class="el" href="_detection_post_process_layer_8cpp_source.html#l00030">DetectionPostProcessLayer::Clone()</a>, <a class="el" href="_pre_compiled_layer_8cpp_source.html#l00024">PreCompiledLayer::Clone()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00043">TransposeConvolution2dLayer::Clone()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00068">DepthwiseConvolution2dLayer::Clone()</a>, <a class="el" href="_fully_connected_layer_8cpp_source.html#l00038">FullyConnectedLayer::Clone()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00066">Convolution2dLayer::Clone()</a>, <a class="el" href="_concat_layer_8cpp_source.html#l00149">ConcatLayer::Clone()</a>, <a class="el" href="_splitter_layer_8cpp_source.html#l00123">SplitterLayer::Clone()</a>, <a class="el" href="_batch_normalization_layer_8cpp_source.html#l00039">BatchNormalizationLayer::Clone()</a>, <a class="el" href="_output_layer_8cpp_source.html#l00028">OutputLayer::Clone()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00045">QuantizedLstmLayer::Clone()</a>, <a class="el" href="_lstm_layer_8cpp_source.html#l00075">LstmLayer::Clone()</a>, <a class="el" href="_network_utils_8cpp_source.html#l00040">armnn::InsertConvertFp16ToFp32LayersBefore()</a>, <a class="el" href="_network_utils_8cpp_source.html#l00079">armnn::InsertConvertFp32ToFp16LayersAfter()</a>, <a class="el" href="_permute_as_reshape_8hpp_source.html#l00018">PermuteAsReshapeImpl::Run()</a>, <a class="el" href="_fold_pad_into_convolution2d_8hpp_source.html#l00019">FoldPadIntoConvolution2dImpl::Run()</a>, <a class="el" href="_optimize_consecutive_reshapes_8hpp_source.html#l00019">OptimizeConsecutiveReshapesImpl::Run()</a>, <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8cpp_source.html#l00011">PermuteAndBatchToSpaceAsDepthToSpaceImpl::Run()</a>, and <a class="el" href="_observable_8cpp_source.html#l00016">ErasedLayerNamesObservable::Update()</a>.</p>
1067<div class="fragment"><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160;{ <span class="keywordflow">return</span> m_LayerName.c_str(); }</div></div><!-- fragment -->
1068</div>
1069</div>
1070<a id="a9a97cb6d32661a57fc33bd29b8e41ff4"></a>
1071<h2 class="memtitle"><span class="permalink"><a href="#a9a97cb6d32661a57fc33bd29b8e41ff4">&#9670;&nbsp;</a></span>GetNameStr()</h2>
1072
1073<div class="memitem">
1074<div class="memproto">
1075<table class="mlabels">
1076 <tr>
1077 <td class="mlabels-left">
1078 <table class="memname">
1079 <tr>
1080 <td class="memname">const std::string&amp; GetNameStr </td>
1081 <td>(</td>
1082 <td class="paramname"></td><td>)</td>
1083 <td> const</td>
1084 </tr>
1085 </table>
1086 </td>
1087 <td class="mlabels-right">
1088<span class="mlabels"><span class="mlabel">inline</span></span> </td>
1089 </tr>
1090</table>
1091</div><div class="memdoc">
1092
1093<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00216">216</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1094
1095<p class="reference">Referenced by <a class="el" href="_optimizer_tests_8cpp_source.html#l00530">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_network_8cpp_source.html#l00098">armnn::CheckScaleSetOnQuantizedType()</a>, <a class="el" href="_debug_layer_8cpp_source.html#l00021">DebugLayer::CreateWorkload()</a>, <a class="el" href="_loaded_network_8cpp_source.html#l00277">LoadedNetwork::GetOutputTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00370">Layer::InferOutputShapes()</a>, <a class="el" href="_network_utils_8cpp_source.html#l00112">armnn::InsertDebugLayerAfter()</a>, <a class="el" href="_graph_utils_8cpp_source.html#l00042">IsConnected()</a>, and <a class="el" href="_layer_8cpp_source.html#l00337">Layer::VerifyLayerConnections()</a>.</p>
1096<div class="fragment"><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; {</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <span class="keywordflow">return</span> m_LayerName;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; }</div></div><!-- fragment -->
1097</div>
1098</div>
1099<a id="abc0660dc440c8a285b456c9ef6383c26"></a>
1100<h2 class="memtitle"><span class="permalink"><a href="#abc0660dc440c8a285b456c9ef6383c26">&#9670;&nbsp;</a></span>GetNumInputSlots()</h2>
1101
1102<div class="memitem">
1103<div class="memproto">
1104<table class="mlabels">
1105 <tr>
1106 <td class="mlabels-left">
1107 <table class="memname">
1108 <tr>
1109 <td class="memname">unsigned int GetNumInputSlots </td>
1110 <td>(</td>
1111 <td class="paramname"></td><td>)</td>
1112 <td> const</td>
1113 </tr>
1114 </table>
1115 </td>
1116 <td class="mlabels-right">
1117<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1118 </tr>
1119</table>
1120</div><div class="memdoc">
1121
1122<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a9c2cba04b6d7ace4fc2a2436b82a5a63">IConnectableLayer</a>.</p>
1123
1124<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00307">307</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1125
1126<p class="reference">Referenced by <a class="el" href="_graph_utils_8cpp_source.html#l00032">CheckNumberOfInputSlot()</a>, <a class="el" href="_concat_layer_8cpp_source.html#l00022">ConcatLayer::CreateWorkload()</a>, <a class="el" href="_loaded_network_8cpp_source.html#l00412">LoadedNetwork::EnqueueWorkload()</a>, <a class="el" href="_layer_8cpp_source.html#l00272">Layer::GetDataType()</a>, <a class="el" href="_layer_8cpp_source.html#l00370">Layer::InferOutputShapes()</a>, <a class="el" href="_layer_8cpp_source.html#l00020">InputSlot::Insert()</a>, <a class="el" href="_network_utils_8cpp_source.html#l00040">armnn::InsertConvertFp16ToFp32LayersBefore()</a>, <a class="el" href="_stack_layer_8cpp_source.html#l00061">StackLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_concat_layer_8cpp_source.html#l00244">ConcatLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_layer_8cpp_source.html#l00337">Layer::VerifyLayerConnections()</a>.</p>
1127<div class="fragment"><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160;{ <span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(m_InputSlots.size()); }</div></div><!-- fragment -->
1128</div>
1129</div>
1130<a id="a1594bddc87d6477df300317658f566bb"></a>
1131<h2 class="memtitle"><span class="permalink"><a href="#a1594bddc87d6477df300317658f566bb">&#9670;&nbsp;</a></span>GetNumOutputSlots()</h2>
1132
1133<div class="memitem">
1134<div class="memproto">
1135<table class="mlabels">
1136 <tr>
1137 <td class="mlabels-left">
1138 <table class="memname">
1139 <tr>
1140 <td class="memname">unsigned int GetNumOutputSlots </td>
1141 <td>(</td>
1142 <td class="paramname"></td><td>)</td>
1143 <td> const</td>
1144 </tr>
1145 </table>
1146 </td>
1147 <td class="mlabels-right">
1148<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1149 </tr>
1150</table>
1151</div><div class="memdoc">
1152
1153<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.html#ac2dac3b61c94de52093616be4ab17f8d">IConnectableLayer</a>.</p>
1154
1155<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00308">308</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1156
1157<p class="reference">Referenced by <a class="el" href="_subgraph_view_tests_8cpp_source.html#l01122">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tf_parser_8cpp_source.html#l00419">armnnTfParser::CalcPadding()</a>, <a class="el" href="_layer_8cpp_source.html#l00125">OutputSlot::CalculateIndexOnOwner()</a>, <a class="el" href="_graph_utils_8cpp_source.html#l00037">CheckNumberOfOutputSlot()</a>, <a class="el" href="_network_8cpp_source.html#l00098">armnn::CheckScaleSetOnQuantizedType()</a>, <a class="el" href="_layer_8cpp_source.html#l00239">Layer::CreateTensorHandles()</a>, <a class="el" href="_loaded_network_8cpp_source.html#l00412">LoadedNetwork::EnqueueWorkload()</a>, <a class="el" href="_layer_8cpp_source.html#l00370">Layer::InferOutputShapes()</a>, <a class="el" href="_layer_8cpp_source.html#l00020">InputSlot::Insert()</a>, <a class="el" href="_network_utils_8cpp_source.html#l00079">armnn::InsertConvertFp32ToFp16LayersAfter()</a>, <a class="el" href="_network_utils_8cpp_source.html#l00112">armnn::InsertDebugLayerAfter()</a>, <a class="el" href="_network_8cpp_source.html#l00741">armnn::SelectTensorHandleStrategy()</a>, <a class="el" href="_switch_layer_8cpp_source.html#l00030">SwitchLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_detection_post_process_layer_8cpp_source.html#l00037">DetectionPostProcessLayer::ValidateTensorShapesFromInputs()</a>.</p>
1158<div class="fragment"><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160;{ <span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(m_OutputSlots.size()); }</div></div><!-- fragment -->
1159</div>
1160</div>
1161<a id="af2c0edc7ea62a8baaec4d3d9b2b09256"></a>
1162<h2 class="memtitle"><span class="permalink"><a href="#af2c0edc7ea62a8baaec4d3d9b2b09256">&#9670;&nbsp;</a></span>GetOutputHandler() <span class="overload">[1/2]</span></h2>
1163
1164<div class="memitem">
1165<div class="memproto">
1166<table class="mlabels">
1167 <tr>
1168 <td class="mlabels-left">
1169 <table class="memname">
1170 <tr>
1171 <td class="memname">const <a class="el" href="classarmnn_1_1_output_handler.html">OutputHandler</a>&amp; GetOutputHandler </td>
1172 <td>(</td>
1173 <td class="paramtype">unsigned int&#160;</td>
1174 <td class="paramname"><em>i</em> = <code>0</code></td><td>)</td>
1175 <td> const</td>
1176 </tr>
1177 </table>
1178 </td>
1179 <td class="mlabels-right">
1180<span class="mlabels"><span class="mlabel">inline</span></span> </td>
1181 </tr>
1182</table>
1183</div><div class="memdoc">
1184
1185<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00221">221</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1186
1187<p class="reference">Referenced by <a class="el" href="_move_permute_up_tests_8cpp_source.html#l00015">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_layer_8cpp_source.html#l00239">Layer::CreateTensorHandles()</a>, <a class="el" href="_concat_layer_8cpp_source.html#l00022">ConcatLayer::CreateWorkload()</a>, <a class="el" href="_loaded_network_8cpp_source.html#l00412">LoadedNetwork::EnqueueWorkload()</a>, <a class="el" href="_layer_8cpp_source.html#l00020">InputSlot::Insert()</a>, <a class="el" href="_permute_as_reshape_8hpp_source.html#l00018">PermuteAsReshapeImpl::Run()</a>, <a class="el" href="_fold_pad_into_convolution2d_8hpp_source.html#l00019">FoldPadIntoConvolution2dImpl::Run()</a>, <a class="el" href="_optimize_consecutive_reshapes_8hpp_source.html#l00019">OptimizeConsecutiveReshapesImpl::Run()</a>, <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8cpp_source.html#l00011">PermuteAndBatchToSpaceAsDepthToSpaceImpl::Run()</a>, and <a class="el" href="_move_permute_up_8hpp_source.html#l00022">MovePermuteUpImpl::Run()</a>.</p>
1188<div class="fragment"><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; {</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer.html#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a>[i];</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; }</div><div class="ttc" id="classarmnn_1_1_layer_html_aa44d91037bba52ba0dec6577509ade3b"><div class="ttname"><a href="classarmnn_1_1_layer.html#aa44d91037bba52ba0dec6577509ade3b">armnn::Layer::m_OutputHandlers</a></div><div class="ttdeci">std::vector&lt; OutputHandler &gt; m_OutputHandlers</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00364">Layer.hpp:364</a></div></div>
1189</div><!-- fragment -->
1190</div>
1191</div>
1192<a id="a1d4e05c17647232c514cfe58ca80744a"></a>
1193<h2 class="memtitle"><span class="permalink"><a href="#a1d4e05c17647232c514cfe58ca80744a">&#9670;&nbsp;</a></span>GetOutputHandler() <span class="overload">[2/2]</span></h2>
1194
1195<div class="memitem">
1196<div class="memproto">
1197<table class="mlabels">
1198 <tr>
1199 <td class="mlabels-left">
1200 <table class="memname">
1201 <tr>
1202 <td class="memname"><a class="el" href="classarmnn_1_1_output_handler.html">OutputHandler</a>&amp; GetOutputHandler </td>
1203 <td>(</td>
1204 <td class="paramtype">unsigned int&#160;</td>
1205 <td class="paramname"><em>i</em> = <code>0</code></td><td>)</td>
1206 <td></td>
1207 </tr>
1208 </table>
1209 </td>
1210 <td class="mlabels-right">
1211<span class="mlabels"><span class="mlabel">inline</span></span> </td>
1212 </tr>
1213</table>
1214</div><div class="memdoc">
1215
1216<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00226">226</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1217<div class="fragment"><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; {</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; <span class="keywordflow">return</span> <span class="keyword">const_cast&lt;</span>OutputHandler&amp;<span class="keyword">&gt;</span>(<span class="keyword">const_cast&lt;</span><span class="keyword">const </span><a class="code" href="classarmnn_1_1_layer.html#a5e5ae420d199a0bccae5139d38c30205">Layer</a>*<span class="keyword">&gt;</span>(<span class="keyword">this</span>)-&gt;<a class="code" href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>(i));</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; }</div><div class="ttc" id="classarmnn_1_1_layer_html_af2c0edc7ea62a8baaec4d3d9b2b09256"><div class="ttname"><a href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">armnn::Layer::GetOutputHandler</a></div><div class="ttdeci">const OutputHandler &amp; GetOutputHandler(unsigned int i=0) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00221">Layer.hpp:221</a></div></div>
1218<div class="ttc" id="classarmnn_1_1_layer_html_a5e5ae420d199a0bccae5139d38c30205"><div class="ttname"><a href="classarmnn_1_1_layer.html#a5e5ae420d199a0bccae5139d38c30205">armnn::Layer::Layer</a></div><div class="ttdeci">Layer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00212">Layer.cpp:212</a></div></div>
1219</div><!-- fragment -->
1220</div>
1221</div>
1222<a id="a0e36688a43c35668d8db5257274c68fe"></a>
1223<h2 class="memtitle"><span class="permalink"><a href="#a0e36688a43c35668d8db5257274c68fe">&#9670;&nbsp;</a></span>GetOutputSlot() <span class="overload">[1/2]</span></h2>
1224
1225<div class="memitem">
1226<div class="memproto">
1227<table class="mlabels">
1228 <tr>
1229 <td class="mlabels-left">
1230 <table class="memname">
1231 <tr>
1232 <td class="memname">const <a class="el" href="classarmnn_1_1_output_slot.html">OutputSlot</a>&amp; GetOutputSlot </td>
1233 <td>(</td>
1234 <td class="paramtype">unsigned int&#160;</td>
1235 <td class="paramname"><em>index</em> = <code>0</code></td><td>)</td>
1236 <td> const</td>
1237 </tr>
1238 </table>
1239 </td>
1240 <td class="mlabels-right">
1241<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1242 </tr>
1243</table>
1244</div><div class="memdoc">
1245
1246<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer</a>.</p>
1247
1248<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00312">312</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1249
1250<p class="reference">Referenced by <a class="el" href="_graph_8cpp_source.html#l00263">Graph::AddCompatibilityLayers()</a>, <a class="el" href="_graph_tests_8cpp_source.html#l00043">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_graph_tests_8cpp_source.html#l00552">BOOST_FIXTURE_TEST_CASE()</a>, <a class="el" href="_tf_parser_8cpp_source.html#l00419">armnnTfParser::CalcPadding()</a>, <a class="el" href="_layer_8cpp_source.html#l00125">OutputSlot::CalculateIndexOnOwner()</a>, <a class="el" href="_network_8cpp_source.html#l00098">armnn::CheckScaleSetOnQuantizedType()</a>, <a class="el" href="_optimizer_tests_8cpp_source.html#l00249">CreateConvolution2dGraph()</a>, <a class="el" href="_optimizer_tests_8cpp_source.html#l00299">CreateDepthwiseConvolution2dGraph()</a>, <a class="el" href="_optimizer_tests_8cpp_source.html#l00441">CreateGatherGraph()</a>, <a class="el" href="_optimizer_tests_8cpp_source.html#l00349">CreatePooling2dGraph()</a>, <a class="el" href="_optimizer_tests_8cpp_source.html#l00397">CreateResizeBilinearGraph()</a>, <a class="el" href="_concat_layer_8cpp_source.html#l00129">ConcatLayer::CreateTensorHandles()</a>, <a class="el" href="_splitter_layer_8cpp_source.html#l00103">SplitterLayer::CreateTensorHandles()</a>, <a class="el" href="_layer_8cpp_source.html#l00239">Layer::CreateTensorHandles()</a>, <a class="el" href="_splitter_layer_8cpp_source.html#l00021">SplitterLayer::CreateWorkload()</a>, <a class="el" href="_concat_layer_8cpp_source.html#l00022">ConcatLayer::CreateWorkload()</a>, <a class="el" href="_layer_8cpp_source.html#l00272">Layer::GetDataType()</a>, <a class="el" href="_layer_8cpp_source.html#l00020">InputSlot::Insert()</a>, <a class="el" href="_network_utils_8cpp_source.html#l00040">armnn::InsertConvertFp16ToFp32LayersBefore()</a>, <a class="el" href="_network_utils_8cpp_source.html#l00079">armnn::InsertConvertFp32ToFp16LayersAfter()</a>, <a class="el" href="_network_utils_8cpp_source.html#l00112">armnn::InsertDebugLayerAfter()</a>, <a class="el" href="_graph_utils_8cpp_source.html#l00042">IsConnected()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l00045">IWorkloadFactory::IsLayerSupported()</a>, <a class="el" href="_permute_as_reshape_8hpp_source.html#l00018">PermuteAsReshapeImpl::Run()</a>, <a class="el" href="_optimize_consecutive_reshapes_8hpp_source.html#l00019">OptimizeConsecutiveReshapesImpl::Run()</a>, <a class="el" href="_fold_pad_into_convolution2d_8hpp_source.html#l00019">FoldPadIntoConvolution2dImpl::Run()</a>, <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8cpp_source.html#l00011">PermuteAndBatchToSpaceAsDepthToSpaceImpl::Run()</a>, <a class="el" href="_optimize_inverse_conversions_8hpp_source.html#l00021">OptimizeInverseConversionsImpl::Run()</a>, <a class="el" href="_optimize_inverse_permutes_8hpp_source.html#l00021">OptimizeInversePermutesImpl::Run()</a>, <a class="el" href="_move_permute_up_8hpp_source.html#l00022">MovePermuteUpImpl::Run()</a>, <a class="el" href="_network_8cpp_source.html#l00741">armnn::SelectTensorHandleStrategy()</a>, <a class="el" href="_elementwise_base_layer_8cpp_source.html#l00051">ElementwiseBaseLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_quantize_layer_8cpp_source.html#l00032">QuantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_activation_layer_8cpp_source.html#l00031">ActivationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp32_to_fp16_layer_8cpp_source.html#l00032">ConvertFp32ToFp16Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_debug_layer_8cpp_source.html#l00038">DebugLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_merge_layer_8cpp_source.html#l00030">MergeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_dequantize_layer_8cpp_source.html#l00032">DequantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_normalization_layer_8cpp_source.html#l00032">NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_import_layer_8cpp_source.html#l00036">MemImportLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fake_quantization_layer_8cpp_source.html#l00032">FakeQuantizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.html#l00103">Pooling2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_batch_to_space_nd_layer_8cpp_source.html#l00044">BatchToSpaceNdLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_reshape_layer_8cpp_source.html#l00038">ReshapeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_resize_layer_8cpp_source.html#l00056">ResizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_rsqrt_layer_8cpp_source.html#l00033">RsqrtLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_slice_layer_8cpp_source.html#l00037">SliceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_copy_layer_8cpp_source.html#l00036">MemCopyLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_softmax_layer_8cpp_source.html#l00032">SoftmaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_l2_normalization_layer_8cpp_source.html#l00032">L2NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_abs_layer_8cpp_source.html#l00033">AbsLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_permute_layer_8cpp_source.html#l00043">PermuteLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_floor_layer_8cpp_source.html#l00032">FloorLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_stack_layer_8cpp_source.html#l00061">StackLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_switch_layer_8cpp_source.html#l00030">SwitchLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_input_layer_8cpp_source.html#l00031">InputLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_instance_normalization_layer_8cpp_source.html#l00032">InstanceNormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_gather_layer_8cpp_source.html#l00032">GatherLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mean_layer_8cpp_source.html#l00041">MeanLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_log_softmax_layer_8cpp_source.html#l00032">LogSoftmaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp16_to_fp32_layer_8cpp_source.html#l00033">ConvertFp16ToFp32Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_constant_layer_8cpp_source.html#l00043">ConstantLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.html#l00072">ArgMinMaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_detection_post_process_layer_8cpp_source.html#l00037">DetectionPostProcessLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_elementwise_unary_layer_8cpp_source.html#l00043">ElementwiseUnaryLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_strided_slice_layer_8cpp_source.html#l00076">StridedSliceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fully_connected_layer_8cpp_source.html#l00064">FullyConnectedLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.html#l00060">DepthToSpaceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_prelu_layer_8cpp_source.html#l00097">PreluLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_comparison_layer_8cpp_source.html#l00058">ComparisonLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00122">DepthwiseConvolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00097">TransposeConvolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_space_to_batch_nd_layer_8cpp_source.html#l00069">SpaceToBatchNdLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_space_to_depth_layer_8cpp_source.html#l00064">SpaceToDepthLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00115">Convolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_splitter_layer_8cpp_source.html#l00142">SplitterLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_batch_normalization_layer_8cpp_source.html#l00051">BatchNormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00094">QuantizedLstmLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_lstm_layer_8cpp_source.html#l00160">LstmLayer::ValidateTensorShapesFromInputs()</a>.</p>
1251<div class="fragment"><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160;{ <span class="keywordflow">return</span> m_OutputSlots.at(index); }</div></div><!-- fragment -->
1252</div>
1253</div>
1254<a id="abbd71844785bb2f00a81baca30ea5ff0"></a>
1255<h2 class="memtitle"><span class="permalink"><a href="#abbd71844785bb2f00a81baca30ea5ff0">&#9670;&nbsp;</a></span>GetOutputSlot() <span class="overload">[2/2]</span></h2>
1256
1257<div class="memitem">
1258<div class="memproto">
1259<table class="mlabels">
1260 <tr>
1261 <td class="mlabels-left">
1262 <table class="memname">
1263 <tr>
1264 <td class="memname"><a class="el" href="classarmnn_1_1_output_slot.html">OutputSlot</a>&amp; GetOutputSlot </td>
1265 <td>(</td>
1266 <td class="paramtype">unsigned int&#160;</td>
1267 <td class="paramname"><em>index</em> = <code>0</code></td><td>)</td>
1268 <td></td>
1269 </tr>
1270 </table>
1271 </td>
1272 <td class="mlabels-right">
1273<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1274 </tr>
1275</table>
1276</div><div class="memdoc">
1277
1278<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a75bfde3503c1b21c397bb095f55db990">IConnectableLayer</a>.</p>
1279
1280<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00313">313</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1281<div class="fragment"><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160;{ <span class="keywordflow">return</span> m_OutputSlots.at(index); }</div></div><!-- fragment -->
1282</div>
1283</div>
1284<a id="a98cdff4e0b45f4c80bfcedaf926e16e0"></a>
1285<h2 class="memtitle"><span class="permalink"><a href="#a98cdff4e0b45f4c80bfcedaf926e16e0">&#9670;&nbsp;</a></span>GetOutputSlots()</h2>
1286
1287<div class="memitem">
1288<div class="memproto">
1289<table class="mlabels">
1290 <tr>
1291 <td class="mlabels-left">
1292 <table class="memname">
1293 <tr>
1294 <td class="memname">const std::vector&lt;<a class="el" href="classarmnn_1_1_output_slot.html">OutputSlot</a>&gt;&amp; GetOutputSlots </td>
1295 <td>(</td>
1296 <td class="paramname"></td><td>)</td>
1297 <td> const</td>
1298 </tr>
1299 </table>
1300 </td>
1301 <td class="mlabels-right">
1302<span class="mlabels"><span class="mlabel">inline</span></span> </td>
1303 </tr>
1304</table>
1305</div><div class="memdoc">
1306
1307<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00232">232</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1308
1309<p class="reference">Referenced by <a class="el" href="_graph_8cpp_source.html#l00263">Graph::AddCompatibilityLayers()</a>, <a class="el" href="_subgraph_view_selector_8cpp_source.html#l00280">armnn::ForEachLayerOutput()</a>, and <a class="el" href="_workload_factory_8cpp_source.html#l00045">IWorkloadFactory::IsLayerSupported()</a>.</p>
1310<div class="fragment"><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160;{ <span class="keywordflow">return</span> m_OutputSlots; }</div></div><!-- fragment -->
1311</div>
1312</div>
1313<a id="af97a07195a67a638605b3c325763c2dd"></a>
1314<h2 class="memtitle"><span class="permalink"><a href="#af97a07195a67a638605b3c325763c2dd">&#9670;&nbsp;</a></span>GetPriority()</h2>
1315
1316<div class="memitem">
1317<div class="memproto">
1318 <table class="memname">
1319 <tr>
1320 <td class="memname"><a class="el" href="namespacearmnn.html#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> GetPriority </td>
1321 <td>(</td>
1322 <td class="paramname"></td><td>)</td>
1323 <td> const</td>
1324 </tr>
1325 </table>
1326</div><div class="memdoc">
1327
1328<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.html#l00287">287</a> of file <a class="el" href="_layer_8cpp_source.html">Layer.cpp</a>.</p>
1329
1330<p class="reference">References <a class="el" href="_layer_8hpp_source.html#l00231">Layer::GetInputSlots()</a>, <a class="el" href="_layer_8hpp_source.html#l00115">OutputSlot::GetOwningLayer()</a>, <a class="el" href="_layer_8cpp_source.html#l00287">Layer::GetPriority()</a>, <a class="el" href="_layer_8hpp_source.html#l00259">Layer::GetType()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, and <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>.</p>
1331
1332<p class="reference">Referenced by <a class="el" href="_layer_8cpp_source.html#l00287">Layer::GetPriority()</a>, and <a class="el" href="_squash_equal_siblings_8hpp_source.html#l00024">SquashEqualSiblingsImpl&lt; Comparable &gt;::Run()</a>.</p>
1333<div class="fragment"><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160;{</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; constexpr <a class="code" href="namespacearmnn.html#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> inputPrio = std::numeric_limits&lt;LayerPriority&gt;::lowest();</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; constexpr <a class="code" href="namespacearmnn.html#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> outputPrio = std::numeric_limits&lt;LayerPriority&gt;::max();</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160;</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>)</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; {</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; m_Priority = inputPrio;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; }</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>)</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; {</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; m_Priority = outputPrio;</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; }</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_Priority == 0)</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; {</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; <span class="keywordflow">if</span> (m_Visiting)</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; {</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; <span class="keywordflow">throw</span> GraphValidationException(<span class="stringliteral">&quot;Graph has circular dependencies: cannot walk&quot;</span>);</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; }</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160;</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; <span class="keyword">auto</span> maxPrio = [](<span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> prio, <span class="keyword">const</span> InputSlot&amp; slot) -&gt; <a class="code" href="namespacearmnn.html#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a></div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; {</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; <span class="keyword">const</span> OutputSlot *outputSlot = slot.GetConnectedOutputSlot();</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; <span class="keywordflow">if</span> (outputSlot)</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; {</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html#a5e5ae420d199a0bccae5139d38c30205">Layer</a>&amp; input = outputSlot-&gt;GetOwningLayer();</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; <span class="keywordflow">return</span> std::max(prio, input.GetPriority());</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; }</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; {</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; <span class="comment">// unconnected input slot</span></div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; <span class="keywordflow">return</span> prio;</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; }</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; };</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160;</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; m_Visiting = <span class="keyword">true</span>;</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; <a class="code" href="namespacearmnn.html#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> parentPrio = std::accumulate(<a class="code" href="classarmnn_1_1_layer.html#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>().cbegin(), <a class="code" href="classarmnn_1_1_layer.html#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>().cend(), 0U, maxPrio);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; m_Visiting = <span class="keyword">false</span>;</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160;</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; <span class="keywordflow">if</span> (parentPrio &gt;= outputPrio)</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; {</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; <span class="keywordflow">throw</span> GraphValidationException(<span class="stringliteral">&quot;Graph has too many edges&quot;</span>);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; }</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160;</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; m_Priority = parentPrio + 1U;</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; }</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160;</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; <span class="keywordflow">return</span> m_Priority;</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_layer_html_a5e5ae420d199a0bccae5139d38c30205"><div class="ttname"><a href="classarmnn_1_1_layer.html#a5e5ae420d199a0bccae5139d38c30205">armnn::Layer::Layer</a></div><div class="ttdeci">Layer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00212">Layer.cpp:212</a></div></div>
1334<div class="ttc" id="classarmnn_1_1_layer_html_aaef29472862381822654ab6cbf7cba2a"><div class="ttname"><a href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00259">Layer.hpp:259</a></div></div>
1335<div class="ttc" id="namespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div></div>
1336<div class="ttc" id="namespacearmnn_html_a419086ecb4dc9d0f9e5d8933c87e2ea2"><div class="ttname"><a href="namespacearmnn.html#a419086ecb4dc9d0f9e5d8933c87e2ea2">armnn::LayerPriority</a></div><div class="ttdeci">unsigned int LayerPriority</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00207">Layer.hpp:207</a></div></div>
1337<div class="ttc" id="classarmnn_1_1_layer_html_af5f530544d09a44d726f24702b67b35b"><div class="ttname"><a href="classarmnn_1_1_layer.html#af5f530544d09a44d726f24702b67b35b">armnn::Layer::GetInputSlots</a></div><div class="ttdeci">const std::vector&lt; InputSlot &gt; &amp; GetInputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00231">Layer.hpp:231</a></div></div>
1338<div class="ttc" id="namespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div></div>
1339</div><!-- fragment -->
1340</div>
1341</div>
1342<a id="a5e5520194ea4042fe07b0bf53c28f634"></a>
1343<h2 class="memtitle"><span class="permalink"><a href="#a5e5520194ea4042fe07b0bf53c28f634">&#9670;&nbsp;</a></span>GetRelatedLayerNames()</h2>
1344
1345<div class="memitem">
1346<div class="memproto">
1347<table class="mlabels">
1348 <tr>
1349 <td class="mlabels-left">
1350 <table class="memname">
1351 <tr>
1352 <td class="memname">const std::list&lt;std::string&gt;&amp; GetRelatedLayerNames </td>
1353 <td>(</td>
1354 <td class="paramname"></td><td>)</td>
1355 <td></td>
1356 </tr>
1357 </table>
1358 </td>
1359 <td class="mlabels-right">
1360<span class="mlabels"><span class="mlabel">inline</span></span> </td>
1361 </tr>
1362</table>
1363</div><div class="memdoc">
1364
1365<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00320">320</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1366
1367<p class="reference">Referenced by <a class="el" href="_observable_8cpp_source.html#l00016">ErasedLayerNamesObservable::Update()</a>.</p>
1368<div class="fragment"><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160;{ <span class="keywordflow">return</span> m_RelatedLayerNames; }</div></div><!-- fragment -->
1369</div>
1370</div>
1371<a id="aaef29472862381822654ab6cbf7cba2a"></a>
1372<h2 class="memtitle"><span class="permalink"><a href="#aaef29472862381822654ab6cbf7cba2a">&#9670;&nbsp;</a></span>GetType()</h2>
1373
1374<div class="memitem">
1375<div class="memproto">
1376<table class="mlabels">
1377 <tr>
1378 <td class="mlabels-left">
1379 <table class="memname">
1380 <tr>
1381 <td class="memname"><a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> GetType </td>
1382 <td>(</td>
1383 <td class="paramname"></td><td>)</td>
1384 <td> const</td>
1385 </tr>
1386 </table>
1387 </td>
1388 <td class="mlabels-right">
1389<span class="mlabels"><span class="mlabel">inline</span></span> </td>
1390 </tr>
1391</table>
1392</div><div class="memdoc">
1393
1394<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00259">259</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1395
1396<p class="reference">Referenced by <a class="el" href="_network_8cpp_source.html#l00345">armnn::ApplyBackendOptimizations()</a>, <a class="el" href="_optimizer_tests_8cpp_source.html#l00156">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="armnn_tf_lite_parser_2test_2_detection_post_process_8cpp_source.html#l00226">BOOST_FIXTURE_TEST_CASE()</a>, <a class="el" href="_network_8cpp_source.html#l00664">armnn::CalculateEdgeStrategy()</a>, <a class="el" href="_network_8cpp_source.html#l00555">armnn::CalculateSlotOption()</a>, <a class="el" href="_network_8cpp_source.html#l00463">armnn::CalculateSlotOptionForInput()</a>, <a class="el" href="_network_8cpp_source.html#l00098">armnn::CheckScaleSetOnQuantizedType()</a>, <a class="el" href="_concat_layer_8cpp_source.html#l00022">ConcatLayer::CreateWorkload()</a>, <a class="el" href="_loaded_network_8cpp_source.html#l00412">LoadedNetwork::EnqueueWorkload()</a>, <a class="el" href="_layer_8cpp_source.html#l00287">Layer::GetPriority()</a>, <a class="el" href="_layer_8cpp_source.html#l00370">Layer::InferOutputShapes()</a>, <a class="el" href="_reshape_layer_8hpp_source.html#l00039">ReshapeLayer::IsEqual()</a>, <a class="el" href="_permute_layer_8hpp_source.html#l00054">PermuteLayer::IsEqual()</a>, <a class="el" href="_permute_layer_8hpp_source.html#l00045">PermuteLayer::IsInverse()</a>, <a class="el" href="_test_utils_8hpp_source.html#l00015">IsLayerOfType()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l00045">IWorkloadFactory::IsLayerSupported()</a>, <a class="el" href="_mock_backend_8cpp_source.html#l00134">MockBackend::OptimizeSubgraphView()</a>, <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.html#l00018">ConvertFp32NetworkToFp16Impl::Run()</a>, <a class="el" href="_add_debug_8hpp_source.html#l00019">AddDebugImpl::Run()</a>, <a class="el" href="_fold_pad_into_convolution2d_8hpp_source.html#l00019">FoldPadIntoConvolution2dImpl::Run()</a>, <a class="el" href="_optimize_consecutive_reshapes_8hpp_source.html#l00019">OptimizeConsecutiveReshapesImpl::Run()</a>, <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8cpp_source.html#l00011">PermuteAndBatchToSpaceAsDepthToSpaceImpl::Run()</a>, <a class="el" href="_optimize_inverse_conversions_8hpp_source.html#l00021">OptimizeInverseConversionsImpl::Run()</a>, <a class="el" href="_move_permute_up_8hpp_source.html#l00022">MovePermuteUpImpl::Run()</a>, <a class="el" href="_optimization_8hpp_source.html#l00036">OptimizeForTypeImpl&lt; BaseType, OptimizeForConnectionImpl&lt; BaseType, ChildType, Wrapped &gt; &gt;::Run()</a>, <a class="el" href="_network_8cpp_source.html#l00741">armnn::SelectTensorHandleStrategy()</a>, <a class="el" href="_elementwise_base_layer_8cpp_source.html#l00051">ElementwiseBaseLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_layer_8cpp_source.html#l00337">Layer::VerifyLayerConnections()</a>.</p>
1397<div class="fragment"><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160;{ <span class="keywordflow">return</span> m_Type; }</div></div><!-- fragment -->
1398</div>
1399</div>
1400<a id="a65ca562c882ad619684445a1402f415a"></a>
1401<h2 class="memtitle"><span class="permalink"><a href="#a65ca562c882ad619684445a1402f415a">&#9670;&nbsp;</a></span>InferOutputShapes()</h2>
1402
1403<div class="memitem">
1404<div class="memproto">
1405<table class="mlabels">
1406 <tr>
1407 <td class="mlabels-left">
1408 <table class="memname">
1409 <tr>
1410 <td class="memname">std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &gt; InferOutputShapes </td>
1411 <td>(</td>
1412 <td class="paramtype">const std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &gt; &amp;&#160;</td>
1413 <td class="paramname"><em>inputShapes</em></td><td>)</td>
1414 <td> const</td>
1415 </tr>
1416 </table>
1417 </td>
1418 <td class="mlabels-right">
1419<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1420 </tr>
1421</table>
1422</div><div class="memdoc">
1423
1424<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.html#aa6e3c075c888e7c16942a468a3aae33c">IConnectableLayer</a>.</p>
1425
1426<p>Reimplemented in <a class="el" href="classarmnn_1_1_lstm_layer.html#a65ca562c882ad619684445a1402f415a">LstmLayer</a>, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.html#a65ca562c882ad619684445a1402f415a">QuantizedLstmLayer</a>, <a class="el" href="classarmnn_1_1_splitter_layer.html#a65ca562c882ad619684445a1402f415a">SplitterLayer</a>, <a class="el" href="classarmnn_1_1_concat_layer.html#a65ca562c882ad619684445a1402f415a">ConcatLayer</a>, <a class="el" href="classarmnn_1_1_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_fully_connected_layer.html#a65ca562c882ad619684445a1402f415a">FullyConnectedLayer</a>, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">TransposeConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_constant_layer.html#a65ca562c882ad619684445a1402f415a">ConstantLayer</a>, <a class="el" href="classarmnn_1_1_stand_in_layer.html#a65ca562c882ad619684445a1402f415a">StandInLayer</a>, <a class="el" href="classarmnn_1_1_batch_to_space_nd_layer.html#a65ca562c882ad619684445a1402f415a">BatchToSpaceNdLayer</a>, <a class="el" href="classarmnn_1_1_permute_layer.html#a65ca562c882ad619684445a1402f415a">PermuteLayer</a>, <a class="el" href="classarmnn_1_1_pooling2d_layer.html#a65ca562c882ad619684445a1402f415a">Pooling2dLayer</a>, <a class="el" href="classarmnn_1_1_reshape_layer.html#a65ca562c882ad619684445a1402f415a">ReshapeLayer</a>, <a class="el" href="classarmnn_1_1_resize_layer.html#a65ca562c882ad619684445a1402f415a">ResizeLayer</a>, <a class="el" href="classarmnn_1_1_slice_layer.html#a65ca562c882ad619684445a1402f415a">SliceLayer</a>, <a class="el" href="classarmnn_1_1_stack_layer.html#a65ca562c882ad619684445a1402f415a">StackLayer</a>, <a class="el" href="classarmnn_1_1_merge_layer.html#a65ca562c882ad619684445a1402f415a">MergeLayer</a>, <a class="el" href="classarmnn_1_1_comparison_layer.html#a65ca562c882ad619684445a1402f415a">ComparisonLayer</a>, <a class="el" href="classarmnn_1_1_depth_to_space_layer.html#a65ca562c882ad619684445a1402f415a">DepthToSpaceLayer</a>, <a class="el" href="classarmnn_1_1_prelu_layer.html#a65ca562c882ad619684445a1402f415a">PreluLayer</a>, <a class="el" href="classarmnn_1_1_space_to_batch_nd_layer.html#a65ca562c882ad619684445a1402f415a">SpaceToBatchNdLayer</a>, <a class="el" href="classarmnn_1_1_space_to_depth_layer.html#a65ca562c882ad619684445a1402f415a">SpaceToDepthLayer</a>, <a class="el" href="classarmnn_1_1_arg_min_max_layer.html#a65ca562c882ad619684445a1402f415a">ArgMinMaxLayer</a>, <a class="el" href="classarmnn_1_1_elementwise_unary_layer.html#a65ca562c882ad619684445a1402f415a">ElementwiseUnaryLayer</a>, <a class="el" href="classarmnn_1_1_strided_slice_layer.html#a65ca562c882ad619684445a1402f415a">StridedSliceLayer</a>, and <a class="el" href="classarmnn_1_1_elementwise_base_layer.html#a65ca562c882ad619684445a1402f415a">ElementwiseBaseLayer</a>.</p>
1427
1428<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.html#l00370">370</a> of file <a class="el" href="_layer_8cpp_source.html">Layer.cpp</a>.</p>
1429
1430<p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00169">CHECK_LOCATION</a>, <a class="el" href="_internal_types_8cpp_source.html#l00013">armnn::GetLayerTypeAsCString()</a>, <a class="el" href="_layer_8hpp_source.html#l00216">Layer::GetNameStr()</a>, <a class="el" href="_layer_8hpp_source.html#l00307">Layer::GetNumInputSlots()</a>, <a class="el" href="_layer_8hpp_source.html#l00308">Layer::GetNumOutputSlots()</a>, and <a class="el" href="_layer_8hpp_source.html#l00259">Layer::GetType()</a>.</p>
1431
1432<p class="reference">Referenced by <a class="el" href="_quantize_layer_8cpp_source.html#l00032">QuantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_activation_layer_8cpp_source.html#l00031">ActivationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_softmax_layer_8cpp_source.html#l00032">SoftmaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_rsqrt_layer_8cpp_source.html#l00033">RsqrtLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_switch_layer_8cpp_source.html#l00030">SwitchLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_normalization_layer_8cpp_source.html#l00032">NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_import_layer_8cpp_source.html#l00036">MemImportLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_abs_layer_8cpp_source.html#l00033">AbsLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fake_quantization_layer_8cpp_source.html#l00032">FakeQuantizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_l2_normalization_layer_8cpp_source.html#l00032">L2NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_instance_normalization_layer_8cpp_source.html#l00032">InstanceNormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_floor_layer_8cpp_source.html#l00032">FloorLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp32_to_fp16_layer_8cpp_source.html#l00032">ConvertFp32ToFp16Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_dequantize_layer_8cpp_source.html#l00032">DequantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_copy_layer_8cpp_source.html#l00036">MemCopyLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_debug_layer_8cpp_source.html#l00038">DebugLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp16_to_fp32_layer_8cpp_source.html#l00033">ConvertFp16ToFp32Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_log_softmax_layer_8cpp_source.html#l00032">LogSoftmaxLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_batch_normalization_layer_8cpp_source.html#l00051">BatchNormalizationLayer::ValidateTensorShapesFromInputs()</a>.</p>
1433<div class="fragment"><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160;{</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; BOOST_ASSERT(<a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() != 0);</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; BOOST_ASSERT(<a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>() != 0);</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160;</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; <span class="comment">// By default we return what we got, meaning the output shape(s) are the same as the input(s).</span></div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; <span class="comment">// This only works if the number of inputs and outputs are the same. Since we are in the Layer</span></div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; <span class="comment">// base class, this means the implementation needs to be overridden in the specific layers for</span></div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; <span class="comment">// the other cases. So the missing implementation justifies the UnimplementedException.</span></div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160;</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() != <a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>())</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; {</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160; <span class="keywordflow">throw</span> UnimplementedException(</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; boost::str(</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; boost::format(</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; <span class="stringliteral">&quot;Default implementation for InferOutputShapes can only be used for &quot;</span></div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; <span class="stringliteral">&quot;layers with the same number of input and output slots. This doesn&#39;t &quot;</span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; <span class="stringliteral">&quot;hold for %1% layer %2% (#inputs=%3% #outputs=%4%) %5%&quot;</span>)</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; % <a class="code" href="namespacearmnn.html#a9da573d7a1fc03726fd41f2130cbcf92">GetLayerTypeAsCString</a>(this-&gt;<a class="code" href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">GetType</a>())</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; % <a class="code" href="classarmnn_1_1_layer.html#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>()</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; % <a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>()</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; % <a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>()</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; % <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160; }</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; <span class="keywordflow">return</span> inputShapes;</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_layer_html_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">armnn::Layer::GetNumOutputSlots</a></div><div class="ttdeci">unsigned int GetNumOutputSlots() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00308">Layer.hpp:308</a></div></div>
1434<div class="ttc" id="classarmnn_1_1_layer_html_aaef29472862381822654ab6cbf7cba2a"><div class="ttname"><a href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00259">Layer.hpp:259</a></div></div>
1435<div class="ttc" id="namespacearmnn_html_a9da573d7a1fc03726fd41f2130cbcf92"><div class="ttname"><a href="namespacearmnn.html#a9da573d7a1fc03726fd41f2130cbcf92">armnn::GetLayerTypeAsCString</a></div><div class="ttdeci">char const * GetLayerTypeAsCString(LayerType type)</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8cpp_source.html#l00013">InternalTypes.cpp:13</a></div></div>
1436<div class="ttc" id="classarmnn_1_1_layer_html_a9a97cb6d32661a57fc33bd29b8e41ff4"><div class="ttname"><a href="classarmnn_1_1_layer.html#a9a97cb6d32661a57fc33bd29b8e41ff4">armnn::Layer::GetNameStr</a></div><div class="ttdeci">const std::string &amp; GetNameStr() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00216">Layer.hpp:216</a></div></div>
1437<div class="ttc" id="_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00169">Exceptions.hpp:169</a></div></div>
1438<div class="ttc" id="classarmnn_1_1_layer_html_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">armnn::Layer::GetNumInputSlots</a></div><div class="ttdeci">unsigned int GetNumInputSlots() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00307">Layer.hpp:307</a></div></div>
1439</div><!-- fragment -->
1440</div>
1441</div>
1442<a id="a22485f444124128940e798a42f0b76d9"></a>
1443<h2 class="memtitle"><span class="permalink"><a href="#a22485f444124128940e798a42f0b76d9">&#9670;&nbsp;</a></span>IsOutputUnconnected()</h2>
1444
1445<div class="memitem">
1446<div class="memproto">
1447<table class="mlabels">
1448 <tr>
1449 <td class="mlabels-left">
1450 <table class="memname">
1451 <tr>
1452 <td class="memname">bool IsOutputUnconnected </td>
1453 <td>(</td>
1454 <td class="paramname"></td><td>)</td>
1455 <td></td>
1456 </tr>
1457 </table>
1458 </td>
1459 <td class="mlabels-right">
1460<span class="mlabels"><span class="mlabel">inline</span></span> </td>
1461 </tr>
1462</table>
1463</div><div class="memdoc">
1464
1465<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00243">243</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1466
1467<p class="reference">Referenced by <a class="el" href="_optimization_8hpp_source.html#l00082">OptimizeForConnectionImpl&lt; BaseType, ChildType, Wrapped &gt;::Run()</a>.</p>
1468<div class="fragment"><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; {</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numConnections = 0;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160;</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; output : <a class="code" href="classarmnn_1_1_layer.html#a98cdff4e0b45f4c80bfcedaf926e16e0">GetOutputSlots</a>())</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; {</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; numConnections += output.GetNumConnections();</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; }</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <span class="keywordflow">return</span> (<a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>() &gt; 0) &amp;&amp; (numConnections == 0);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; }</div><div class="ttc" id="classarmnn_1_1_layer_html_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">armnn::Layer::GetNumOutputSlots</a></div><div class="ttdeci">unsigned int GetNumOutputSlots() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00308">Layer.hpp:308</a></div></div>
1469<div class="ttc" id="classarmnn_1_1_layer_html_a98cdff4e0b45f4c80bfcedaf926e16e0"><div class="ttname"><a href="classarmnn_1_1_layer.html#a98cdff4e0b45f4c80bfcedaf926e16e0">armnn::Layer::GetOutputSlots</a></div><div class="ttdeci">const std::vector&lt; OutputSlot &gt; &amp; GetOutputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00232">Layer.hpp:232</a></div></div>
1470</div><!-- fragment -->
1471</div>
1472</div>
1473<a id="a386acff5f8430245239ce58d00ba7576"></a>
1474<h2 class="memtitle"><span class="permalink"><a href="#a386acff5f8430245239ce58d00ba7576">&#9670;&nbsp;</a></span>OperateOnConstantTensors()</h2>
1475
1476<div class="memitem">
1477<div class="memproto">
1478<table class="mlabels">
1479 <tr>
1480 <td class="mlabels-left">
1481 <table class="memname">
1482 <tr>
1483 <td class="memname">void OperateOnConstantTensors </td>
1484 <td>(</td>
1485 <td class="paramtype">Op&#160;</td>
1486 <td class="paramname"><em>op</em></td><td>)</td>
1487 <td></td>
1488 </tr>
1489 </table>
1490 </td>
1491 <td class="mlabels-right">
1492<span class="mlabels"><span class="mlabel">inline</span></span> </td>
1493 </tr>
1494</table>
1495</div><div class="memdoc">
1496
1497<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00292">292</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1498
1499<p class="reference">Referenced by <a class="el" href="_layer_8cpp_source.html#l00263">Layer::ReleaseConstantData()</a>, and <a class="el" href="_convert_constants_8hpp_source.html#l00073">ConvertConstants&lt; Converter, Predicate &gt;::Run()</a>.</p>
1500<div class="fragment"><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; {</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> constant : <a class="code" href="classarmnn_1_1_layer.html#afbeac2d77ecaadc3e303a163b4146961">GetConstantTensorsByRef</a>())</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; {</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; <span class="keywordflow">if</span> (constant.get())</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; {</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; op(constant);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; }</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; }</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; };</div><div class="ttc" id="classarmnn_1_1_layer_html_afbeac2d77ecaadc3e303a163b4146961"><div class="ttname"><a href="classarmnn_1_1_layer.html#afbeac2d77ecaadc3e303a163b4146961">armnn::Layer::GetConstantTensorsByRef</a></div><div class="ttdeci">virtual ConstantTensors GetConstantTensorsByRef()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00357">Layer.hpp:357</a></div></div>
1501</div><!-- fragment -->
1502</div>
1503</div>
1504<a id="a30a858b2b26d651a066537e499fbf40d"></a>
1505<h2 class="memtitle"><span class="permalink"><a href="#a30a858b2b26d651a066537e499fbf40d">&#9670;&nbsp;</a></span>PrepInfoAndDesc()</h2>
1506
1507<div class="memitem">
1508<div class="memproto">
1509<table class="mlabels">
1510 <tr>
1511 <td class="mlabels-left">
1512 <table class="memname">
1513 <tr>
1514 <td class="memname"><a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> PrepInfoAndDesc </td>
1515 <td>(</td>
1516 <td class="paramtype"><a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> &amp;&#160;</td>
1517 <td class="paramname"><em>descriptor</em></td><td>)</td>
1518 <td> const</td>
1519 </tr>
1520 </table>
1521 </td>
1522 <td class="mlabels-right">
1523<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">protected</span></span> </td>
1524 </tr>
1525</table>
1526</div><div class="memdoc">
1527
1528<p>Helper function to reduce duplication in *Layer<a class="el" href="_elementwise_unary_test_impl_8hpp.html#aa50938ed8f91e09acd4af904dcf5543a">CreateWorkload</a>. </p>
1529
1530<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00344">344</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1531
1532<p class="reference">References <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>.</p>
1533
1534<p class="reference">Referenced by <a class="el" href="_abs_layer_8cpp_source.html#l00022">AbsLayer::CreateWorkload()</a>, <a class="el" href="_addition_layer_8cpp_source.html#l00022">AdditionLayer::CreateWorkload()</a>, <a class="el" href="_floor_layer_8cpp_source.html#l00021">FloorLayer::CreateWorkload()</a>, <a class="el" href="_quantize_layer_8cpp_source.html#l00019">QuantizeLayer::CreateWorkload()</a>, <a class="el" href="_convert_fp32_to_fp16_layer_8cpp_source.html#l00021">ConvertFp32ToFp16Layer::CreateWorkload()</a>, <a class="el" href="_rsqrt_layer_8cpp_source.html#l00022">RsqrtLayer::CreateWorkload()</a>, <a class="el" href="_switch_layer_8cpp_source.html#l00019">SwitchLayer::CreateWorkload()</a>, <a class="el" href="_debug_layer_8cpp_source.html#l00021">DebugLayer::CreateWorkload()</a>, <a class="el" href="_mem_copy_layer_8cpp_source.html#l00027">MemCopyLayer::CreateWorkload()</a>, <a class="el" href="_dequantize_layer_8cpp_source.html#l00019">DequantizeLayer::CreateWorkload()</a>, <a class="el" href="_mem_import_layer_8cpp_source.html#l00027">MemImportLayer::CreateWorkload()</a>, <a class="el" href="_prelu_layer_8cpp_source.html#l00021">PreluLayer::CreateWorkload()</a>, <a class="el" href="_subtraction_layer_8cpp_source.html#l00022">SubtractionLayer::CreateWorkload()</a>, <a class="el" href="_division_layer_8cpp_source.html#l00022">DivisionLayer::CreateWorkload()</a>, <a class="el" href="_convert_fp16_to_fp32_layer_8cpp_source.html#l00022">ConvertFp16ToFp32Layer::CreateWorkload()</a>, <a class="el" href="_gather_layer_8cpp_source.html#l00021">GatherLayer::CreateWorkload()</a>, <a class="el" href="_minimum_layer_8cpp_source.html#l00022">MinimumLayer::CreateWorkload()</a>, <a class="el" href="_multiplication_layer_8cpp_source.html#l00022">MultiplicationLayer::CreateWorkload()</a>, <a class="el" href="_maximum_layer_8cpp_source.html#l00021">MaximumLayer::CreateWorkload()</a>, <a class="el" href="_constant_layer_8cpp_source.html#l00021">ConstantLayer::CreateWorkload()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00022">QuantizedLstmLayer::CreateWorkload()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.html#l00043">LayerWithParameters&lt; ResizeDescriptor &gt;::PrepInfoAndDesc()</a>.</p>
1535<div class="fragment"><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; {</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; WorkloadInfo <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#afc3239f5fc116259bf5451964e803646">CollectQueueDescriptorInputs</a>(descriptor, info);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#a499ca5a94d0174ed21786b6994b2cd8c">CollectQueueDescriptorOutputs</a>(descriptor, info);</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; }</div><div class="ttc" id="classarmnn_1_1_layer_html_a499ca5a94d0174ed21786b6994b2cd8c"><div class="ttname"><a href="classarmnn_1_1_layer.html#a499ca5a94d0174ed21786b6994b2cd8c">armnn::Layer::CollectQueueDescriptorOutputs</a></div><div class="ttdeci">void CollectQueueDescriptorOutputs(QueueDescriptor &amp;descriptor, WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00336">Layer.hpp:336</a></div></div>
1536<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
1537<div class="ttc" id="classarmnn_1_1_layer_html_afc3239f5fc116259bf5451964e803646"><div class="ttname"><a href="classarmnn_1_1_layer.html#afc3239f5fc116259bf5451964e803646">armnn::Layer::CollectQueueDescriptorInputs</a></div><div class="ttdeci">void CollectQueueDescriptorInputs(QueueDescriptor &amp;descriptor, WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00329">Layer.hpp:329</a></div></div>
1538</div><!-- fragment -->
1539</div>
1540</div>
1541<a id="a339bef86bc340c3d1393ed83950fe8af"></a>
1542<h2 class="memtitle"><span class="permalink"><a href="#a339bef86bc340c3d1393ed83950fe8af">&#9670;&nbsp;</a></span>ReleaseConstantData()</h2>
1543
1544<div class="memitem">
1545<div class="memproto">
1546<table class="mlabels">
1547 <tr>
1548 <td class="mlabels-left">
1549 <table class="memname">
1550 <tr>
1551 <td class="memname">void ReleaseConstantData </td>
1552 <td>(</td>
1553 <td class="paramname"></td><td>)</td>
1554 <td></td>
1555 </tr>
1556 </table>
1557 </td>
1558 <td class="mlabels-right">
1559<span class="mlabels"><span class="mlabel">virtual</span></span> </td>
1560 </tr>
1561</table>
1562</div><div class="memdoc">
1563
1564<p>Reimplemented in <a class="el" href="classarmnn_1_1_constant_layer.html#a49a08bdbd40e6913a9a3e1418aa1f43a">ConstantLayer</a>.</p>
1565
1566<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.html#l00263">263</a> of file <a class="el" href="_layer_8cpp_source.html">Layer.cpp</a>.</p>
1567
1568<p class="reference">References <a class="el" href="_layer_8hpp_source.html#l00292">Layer::OperateOnConstantTensors()</a>.</p>
1569
1570<p class="reference">Referenced by <a class="el" href="_layer_release_constant_data_test_8cpp_source.html#l00029">BOOST_AUTO_TEST_CASE()</a>.</p>
1571<div class="fragment"><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160;{</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; <span class="comment">// Now free up the static data.</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#a386acff5f8430245239ce58d00ba7576">OperateOnConstantTensors</a>([](std::unique_ptr&lt;ScopedCpuTensorHandle&gt;&amp; handle)</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; {</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; handle.reset(<span class="keyword">nullptr</span>);</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; });</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_layer_html_a386acff5f8430245239ce58d00ba7576"><div class="ttname"><a href="classarmnn_1_1_layer.html#a386acff5f8430245239ce58d00ba7576">armnn::Layer::OperateOnConstantTensors</a></div><div class="ttdeci">void OperateOnConstantTensors(Op op)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00292">Layer.hpp:292</a></div></div>
1572</div><!-- fragment -->
1573</div>
1574</div>
1575<a id="a72b18e4c5a403bc3fe2fecf20135c8d6"></a>
1576<h2 class="memtitle"><span class="permalink"><a href="#a72b18e4c5a403bc3fe2fecf20135c8d6">&#9670;&nbsp;</a></span>Reparent()</h2>
1577
1578<div class="memitem">
1579<div class="memproto">
1580<table class="mlabels">
1581 <tr>
1582 <td class="mlabels-left">
1583 <table class="memname">
1584 <tr>
1585 <td class="memname">virtual void Reparent </td>
1586 <td>(</td>
1587 <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.html">Graph</a> &amp;&#160;</td>
1588 <td class="paramname"><em>dest</em>, </td>
1589 </tr>
1590 <tr>
1591 <td class="paramkey"></td>
1592 <td></td>
1593 <td class="paramtype">std::list&lt; <a class="el" href="classarmnn_1_1_layer.html">Layer</a> *&gt;::const_iterator&#160;</td>
1594 <td class="paramname"><em>iterator</em>&#160;</td>
1595 </tr>
1596 <tr>
1597 <td></td>
1598 <td>)</td>
1599 <td></td><td></td>
1600 </tr>
1601 </table>
1602 </td>
1603 <td class="mlabels-right">
1604<span class="mlabels"><span class="mlabel">pure virtual</span></span> </td>
1605 </tr>
1606</table>
1607</div><div class="memdoc">
1608
1609<p class="reference">Referenced by <a class="el" href="_graph_8hpp_source.html#l00106">Graph::operator=()</a>, and <a class="el" href="_graph_8cpp_source.html#l00404">Graph::SubstituteSubgraph()</a>.</p>
1610
1611</div>
1612</div>
1613<a id="aac329cade047e952621b59a51a5d5f49"></a>
1614<h2 class="memtitle"><span class="permalink"><a href="#aac329cade047e952621b59a51a5d5f49">&#9670;&nbsp;</a></span>ResetPriority()</h2>
1615
1616<div class="memitem">
1617<div class="memproto">
1618 <table class="memname">
1619 <tr>
1620 <td class="memname">void ResetPriority </td>
1621 <td>(</td>
1622 <td class="paramname"></td><td>)</td>
1623 <td> const</td>
1624 </tr>
1625 </table>
1626</div><div class="memdoc">
1627
1628<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.html#l00281">281</a> of file <a class="el" href="_layer_8cpp_source.html">Layer.cpp</a>.</p>
1629<div class="fragment"><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160;{</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; m_Priority = 0;</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; m_Visiting = <span class="keyword">false</span>;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160;}</div></div><!-- fragment -->
1630</div>
1631</div>
1632<a id="ac04cd8de9b9185756eb02463ffd432b1"></a>
1633<h2 class="memtitle"><span class="permalink"><a href="#ac04cd8de9b9185756eb02463ffd432b1">&#9670;&nbsp;</a></span>SerializeLayerParameters()</h2>
1634
1635<div class="memitem">
1636<div class="memproto">
1637<table class="mlabels">
1638 <tr>
1639 <td class="mlabels-left">
1640 <table class="memname">
1641 <tr>
1642 <td class="memname">void SerializeLayerParameters </td>
1643 <td>(</td>
1644 <td class="paramtype"><a class="el" href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a> &amp;&#160;</td>
1645 <td class="paramname"><em>fn</em></td><td>)</td>
1646 <td> const</td>
1647 </tr>
1648 </table>
1649 </td>
1650 <td class="mlabels-right">
1651<span class="mlabels"><span class="mlabel">virtual</span></span> </td>
1652 </tr>
1653</table>
1654</div><div class="memdoc">
1655<p>Helper to serialize the layer parameters to string. (currently used in DotSerializer and company). </p>
1656
1657<p>Reimplemented in <a class="el" href="classarmnn_1_1_convolution2d_layer.html#a2ca654770a1890f15e3c7aab98e434a5">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a2ca654770a1890f15e3c7aab98e434a5">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; Parameters &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; FakeQuantizationDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; SoftmaxDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; LstmDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; LogSoftmaxDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; PreCompiledDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; BatchToSpaceNdDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; PermuteDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; SpaceToBatchNdDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; DepthToSpaceDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; ReshapeDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; ElementwiseUnaryDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; SpaceToDepthDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; OriginsDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; ViewsDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; Pooling2dDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; Convolution2dDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; ActivationDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; StandInDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; StackDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; MeanDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; ComparisonDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; InstanceNormalizationDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; TransposeConvolution2dDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; BatchNormalizationDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; ArgMinMaxDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; DetectionPostProcessDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; PadDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; L2NormalizationDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; SliceDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; DepthwiseConvolution2dDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; NormalizationDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; FullyConnectedDescriptor &gt;</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; StridedSliceDescriptor &gt;</a>, and <a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt; ResizeDescriptor &gt;</a>.</p>
1658
1659<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.html#l00397">397</a> of file <a class="el" href="_layer_8cpp_source.html">Layer.cpp</a>.</p>
1660
1661<p class="reference">References <a class="el" href="_internal_types_8cpp_source.html#l00013">armnn::GetLayerTypeAsCString()</a>.</p>
1662
1663<p class="reference">Referenced by <a class="el" href="_layer_with_parameters_8hpp_source.html#l00022">LayerWithParameters&lt; ResizeDescriptor &gt;::SerializeLayerParameters()</a>.</p>
1664<div class="fragment"><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160;{</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; std::string layerType = <a class="code" href="namespacearmnn.html#a9da573d7a1fc03726fd41f2130cbcf92">GetLayerTypeAsCString</a>(m_Type);</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; std::string backendId = std::string(m_BackendId);</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160; <span class="keywordflow">if</span>(!(m_LayerName.compare(<span class="stringliteral">&quot;&quot;</span>) == 0) &amp;&amp; !m_LayerName.empty())</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160; {</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; fn(<span class="stringliteral">&quot;LayerName&quot;</span>,m_LayerName);</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160; }</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; <span class="keywordflow">if</span>(!(layerType.compare(<span class="stringliteral">&quot;&quot;</span>) == 0) &amp;&amp; !layerType.empty())</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; {</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; fn(<span class="stringliteral">&quot;LayerType&quot;</span>,layerType);</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; }</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; <span class="keywordflow">if</span>(!(backendId.compare(<span class="stringliteral">&quot;&quot;</span>) == 0) &amp;&amp; !backendId.empty())</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; {</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; fn(<span class="stringliteral">&quot;BackendID&quot;</span>,backendId);</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; }</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160;}</div><div class="ttc" id="namespacearmnn_html_a9da573d7a1fc03726fd41f2130cbcf92"><div class="ttname"><a href="namespacearmnn.html#a9da573d7a1fc03726fd41f2130cbcf92">armnn::GetLayerTypeAsCString</a></div><div class="ttdeci">char const * GetLayerTypeAsCString(LayerType type)</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8cpp_source.html#l00013">InternalTypes.cpp:13</a></div></div>
1665</div><!-- fragment -->
1666</div>
1667</div>
1668<a id="a3f6ad59212fa8a47c9265162fff8a274"></a>
1669<h2 class="memtitle"><span class="permalink"><a href="#a3f6ad59212fa8a47c9265162fff8a274">&#9670;&nbsp;</a></span>SetBackendId()</h2>
1670
1671<div class="memitem">
1672<div class="memproto">
1673<table class="mlabels">
1674 <tr>
1675 <td class="mlabels-left">
1676 <table class="memname">
1677 <tr>
1678 <td class="memname">void SetBackendId </td>
1679 <td>(</td>
1680 <td class="paramtype">const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> &amp;&#160;</td>
1681 <td class="paramname"><em>id</em></td><td>)</td>
1682 <td></td>
1683 </tr>
1684 </table>
1685 </td>
1686 <td class="mlabels-right">
1687<span class="mlabels"><span class="mlabel">inline</span></span> </td>
1688 </tr>
1689</table>
1690</div><div class="memdoc">
1691
1692<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00264">264</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1693
1694<p class="reference">References <a class="el" href="_elementwise_test_impl_8hpp_source.html#l00027">CreateWorkload()</a>.</p>
1695
1696<p class="reference">Referenced by <a class="el" href="_network_8cpp_source.html#l00133">armnn::AssignBackends()</a>, <a class="el" href="_graph_tests_8cpp_source.html#l00588">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_graph_tests_8cpp_source.html#l00552">BOOST_FIXTURE_TEST_CASE()</a>, <a class="el" href="_network_utils_8cpp_source.html#l00112">armnn::InsertDebugLayerAfter()</a>, and <a class="el" href="_mock_backend_8cpp_source.html#l00134">MockBackend::OptimizeSubgraphView()</a>.</p>
1697<div class="fragment"><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160;{ m_BackendId = id; }</div></div><!-- fragment -->
1698</div>
1699</div>
1700<a id="a6d1024208b672a87ef2c1bfaf93d2b9f"></a>
1701<h2 class="memtitle"><span class="permalink"><a href="#a6d1024208b672a87ef2c1bfaf93d2b9f">&#9670;&nbsp;</a></span>SetGuid()</h2>
1702
1703<div class="memitem">
1704<div class="memproto">
1705<table class="mlabels">
1706 <tr>
1707 <td class="mlabels-left">
1708 <table class="memname">
1709 <tr>
1710 <td class="memname">void SetGuid </td>
1711 <td>(</td>
1712 <td class="paramtype"><a class="el" href="namespacearmnn.html#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a>&#160;</td>
1713 <td class="paramname"><em>guid</em></td><td>)</td>
1714 <td></td>
1715 </tr>
1716 </table>
1717 </td>
1718 <td class="mlabels-right">
1719<span class="mlabels"><span class="mlabel">inline</span></span> </td>
1720 </tr>
1721</table>
1722</div><div class="memdoc">
1723
1724<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00315">315</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1725<div class="fragment"><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160;{ m_Guid = guid; }</div></div><!-- fragment -->
1726</div>
1727</div>
1728<a id="a84ff600212ba26e665de9b978ec896a4"></a>
1729<h2 class="memtitle"><span class="permalink"><a href="#a84ff600212ba26e665de9b978ec896a4">&#9670;&nbsp;</a></span>ValidateTensorShapesFromInputs()</h2>
1730
1731<div class="memitem">
1732<div class="memproto">
1733<table class="mlabels">
1734 <tr>
1735 <td class="mlabels-left">
1736 <table class="memname">
1737 <tr>
1738 <td class="memname">virtual void ValidateTensorShapesFromInputs </td>
1739 <td>(</td>
1740 <td class="paramname"></td><td>)</td>
1741 <td></td>
1742 </tr>
1743 </table>
1744 </td>
1745 <td class="mlabels-right">
1746<span class="mlabels"><span class="mlabel">pure virtual</span></span> </td>
1747 </tr>
1748</table>
1749</div><div class="memdoc">
1750
1751<p>Implemented in <a class="el" href="classarmnn_1_1_lstm_layer.html#a8c8f543d7e9729362c266d12ec169966">LstmLayer</a>, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.html#a8c8f543d7e9729362c266d12ec169966">QuantizedLstmLayer</a>, <a class="el" href="classarmnn_1_1_output_layer.html#a8c8f543d7e9729362c266d12ec169966">OutputLayer</a>, <a class="el" href="classarmnn_1_1_batch_normalization_layer.html#a8c8f543d7e9729362c266d12ec169966">BatchNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_splitter_layer.html#a8c8f543d7e9729362c266d12ec169966">SplitterLayer</a>, <a class="el" href="classarmnn_1_1_concat_layer.html#a8c8f543d7e9729362c266d12ec169966">ConcatLayer</a>, <a class="el" href="classarmnn_1_1_convolution2d_layer.html#a8c8f543d7e9729362c266d12ec169966">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_comparison_layer.html#a8c8f543d7e9729362c266d12ec169966">ComparisonLayer</a>, <a class="el" href="classarmnn_1_1_depth_to_space_layer.html#a8c8f543d7e9729362c266d12ec169966">DepthToSpaceLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a8c8f543d7e9729362c266d12ec169966">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_fully_connected_layer.html#a8c8f543d7e9729362c266d12ec169966">FullyConnectedLayer</a>, <a class="el" href="classarmnn_1_1_prelu_layer.html#a8c8f543d7e9729362c266d12ec169966">PreluLayer</a>, <a class="el" href="classarmnn_1_1_space_to_batch_nd_layer.html#a8c8f543d7e9729362c266d12ec169966">SpaceToBatchNdLayer</a>, <a class="el" href="classarmnn_1_1_space_to_depth_layer.html#a8c8f543d7e9729362c266d12ec169966">SpaceToDepthLayer</a>, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html#a8c8f543d7e9729362c266d12ec169966">TransposeConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_arg_min_max_layer.html#a8c8f543d7e9729362c266d12ec169966">ArgMinMaxLayer</a>, <a class="el" href="classarmnn_1_1_detection_post_process_layer.html#a8c8f543d7e9729362c266d12ec169966">DetectionPostProcessLayer</a>, <a class="el" href="classarmnn_1_1_elementwise_unary_layer.html#a8c8f543d7e9729362c266d12ec169966">ElementwiseUnaryLayer</a>, <a class="el" href="classarmnn_1_1_strided_slice_layer.html#a8c8f543d7e9729362c266d12ec169966">StridedSliceLayer</a>, <a class="el" href="classarmnn_1_1_pre_compiled_layer.html#a8c8f543d7e9729362c266d12ec169966">PreCompiledLayer</a>, <a class="el" href="classarmnn_1_1_constant_layer.html#a8c8f543d7e9729362c266d12ec169966">ConstantLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp16_to_fp32_layer.html#a8c8f543d7e9729362c266d12ec169966">ConvertFp16ToFp32Layer</a>, <a class="el" href="classarmnn_1_1_gather_layer.html#a8c8f543d7e9729362c266d12ec169966">GatherLayer</a>, <a class="el" href="classarmnn_1_1_log_softmax_layer.html#a8c8f543d7e9729362c266d12ec169966">LogSoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_mean_layer.html#a8c8f543d7e9729362c266d12ec169966">MeanLayer</a>, <a class="el" href="classarmnn_1_1_pad_layer.html#a8c8f543d7e9729362c266d12ec169966">PadLayer</a>, <a class="el" href="classarmnn_1_1_stand_in_layer.html#a8c8f543d7e9729362c266d12ec169966">StandInLayer</a>, <a class="el" href="classarmnn_1_1_abs_layer.html#a8c8f543d7e9729362c266d12ec169966">AbsLayer</a>, <a class="el" href="classarmnn_1_1_batch_to_space_nd_layer.html#a8c8f543d7e9729362c266d12ec169966">BatchToSpaceNdLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp32_to_fp16_layer.html#a8c8f543d7e9729362c266d12ec169966">ConvertFp32ToFp16Layer</a>, <a class="el" href="classarmnn_1_1_debug_layer.html#a8c8f543d7e9729362c266d12ec169966">DebugLayer</a>, <a class="el" href="classarmnn_1_1_dequantize_layer.html#a8c8f543d7e9729362c266d12ec169966">DequantizeLayer</a>, <a class="el" href="classarmnn_1_1_fake_quantization_layer.html#a8c8f543d7e9729362c266d12ec169966">FakeQuantizationLayer</a>, <a class="el" href="classarmnn_1_1_floor_layer.html#a8c8f543d7e9729362c266d12ec169966">FloorLayer</a>, <a class="el" href="classarmnn_1_1_input_layer.html#a8c8f543d7e9729362c266d12ec169966">InputLayer</a>, <a class="el" href="classarmnn_1_1_instance_normalization_layer.html#a8c8f543d7e9729362c266d12ec169966">InstanceNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_l2_normalization_layer.html#a8c8f543d7e9729362c266d12ec169966">L2NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_mem_copy_layer.html#a8c8f543d7e9729362c266d12ec169966">MemCopyLayer</a>, <a class="el" href="classarmnn_1_1_mem_import_layer.html#a8c8f543d7e9729362c266d12ec169966">MemImportLayer</a>, <a class="el" href="classarmnn_1_1_merge_layer.html#a8c8f543d7e9729362c266d12ec169966">MergeLayer</a>, <a class="el" href="classarmnn_1_1_normalization_layer.html#a8c8f543d7e9729362c266d12ec169966">NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_permute_layer.html#a8c8f543d7e9729362c266d12ec169966">PermuteLayer</a>, <a class="el" href="classarmnn_1_1_pooling2d_layer.html#a8c8f543d7e9729362c266d12ec169966">Pooling2dLayer</a>, <a class="el" href="classarmnn_1_1_reshape_layer.html#a8c8f543d7e9729362c266d12ec169966">ReshapeLayer</a>, <a class="el" href="classarmnn_1_1_resize_layer.html#a8c8f543d7e9729362c266d12ec169966">ResizeLayer</a>, <a class="el" href="classarmnn_1_1_rsqrt_layer.html#a8c8f543d7e9729362c266d12ec169966">RsqrtLayer</a>, <a class="el" href="classarmnn_1_1_slice_layer.html#a8c8f543d7e9729362c266d12ec169966">SliceLayer</a>, <a class="el" href="classarmnn_1_1_softmax_layer.html#a8c8f543d7e9729362c266d12ec169966">SoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_stack_layer.html#a8c8f543d7e9729362c266d12ec169966">StackLayer</a>, <a class="el" href="classarmnn_1_1_switch_layer.html#a8c8f543d7e9729362c266d12ec169966">SwitchLayer</a>, <a class="el" href="classarmnn_1_1_activation_layer.html#a8c8f543d7e9729362c266d12ec169966">ActivationLayer</a>, <a class="el" href="classarmnn_1_1_quantize_layer.html#a8c8f543d7e9729362c266d12ec169966">QuantizeLayer</a>, and <a class="el" href="classarmnn_1_1_elementwise_base_layer.html#a8c8f543d7e9729362c266d12ec169966">ElementwiseBaseLayer</a>.</p>
1752
1753</div>
1754</div>
1755<a id="a0607e36e88f38c34c71c663164b76776"></a>
1756<h2 class="memtitle"><span class="permalink"><a href="#a0607e36e88f38c34c71c663164b76776">&#9670;&nbsp;</a></span>VerifyLayerConnections()</h2>
1757
1758<div class="memitem">
1759<div class="memproto">
1760 <table class="memname">
1761 <tr>
1762 <td class="memname">void VerifyLayerConnections </td>
1763 <td>(</td>
1764 <td class="paramtype">unsigned int&#160;</td>
1765 <td class="paramname"><em>expectedConnections</em>, </td>
1766 </tr>
1767 <tr>
1768 <td class="paramkey"></td>
1769 <td></td>
1770 <td class="paramtype">const <a class="el" href="structarmnn_1_1_check_location.html">CheckLocation</a> &amp;&#160;</td>
1771 <td class="paramname"><em>location</em>&#160;</td>
1772 </tr>
1773 <tr>
1774 <td></td>
1775 <td>)</td>
1776 <td></td><td> const</td>
1777 </tr>
1778 </table>
1779</div><div class="memdoc">
1780
1781<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.html#l00337">337</a> of file <a class="el" href="_layer_8cpp_source.html">Layer.cpp</a>.</p>
1782
1783<p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00029">CheckLocation::AsString()</a>, <a class="el" href="_layer_8hpp_source.html#l00310">Layer::GetInputSlot()</a>, <a class="el" href="_internal_types_8cpp_source.html#l00013">armnn::GetLayerTypeAsCString()</a>, <a class="el" href="_layer_8hpp_source.html#l00216">Layer::GetNameStr()</a>, <a class="el" href="_layer_8hpp_source.html#l00307">Layer::GetNumInputSlots()</a>, and <a class="el" href="_layer_8hpp_source.html#l00259">Layer::GetType()</a>.</p>
1784
1785<p class="reference">Referenced by <a class="el" href="_elementwise_base_layer_8cpp_source.html#l00051">ElementwiseBaseLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_quantize_layer_8cpp_source.html#l00032">QuantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_activation_layer_8cpp_source.html#l00031">ActivationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_switch_layer_8cpp_source.html#l00030">SwitchLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_abs_layer_8cpp_source.html#l00033">AbsLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.html#l00103">Pooling2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp32_to_fp16_layer_8cpp_source.html#l00032">ConvertFp32ToFp16Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fake_quantization_layer_8cpp_source.html#l00032">FakeQuantizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_slice_layer_8cpp_source.html#l00037">SliceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_reshape_layer_8cpp_source.html#l00038">ReshapeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_resize_layer_8cpp_source.html#l00056">ResizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_floor_layer_8cpp_source.html#l00032">FloorLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_rsqrt_layer_8cpp_source.html#l00033">RsqrtLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_batch_to_space_nd_layer_8cpp_source.html#l00044">BatchToSpaceNdLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_softmax_layer_8cpp_source.html#l00032">SoftmaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_stack_layer_8cpp_source.html#l00061">StackLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_permute_layer_8cpp_source.html#l00043">PermuteLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_debug_layer_8cpp_source.html#l00038">DebugLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_instance_normalization_layer_8cpp_source.html#l00032">InstanceNormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_l2_normalization_layer_8cpp_source.html#l00032">L2NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_dequantize_layer_8cpp_source.html#l00032">DequantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_copy_layer_8cpp_source.html#l00036">MemCopyLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_import_layer_8cpp_source.html#l00036">MemImportLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_merge_layer_8cpp_source.html#l00030">MergeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_normalization_layer_8cpp_source.html#l00032">NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp16_to_fp32_layer_8cpp_source.html#l00033">ConvertFp16ToFp32Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_gather_layer_8cpp_source.html#l00032">GatherLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mean_layer_8cpp_source.html#l00041">MeanLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_log_softmax_layer_8cpp_source.html#l00032">LogSoftmaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_strided_slice_layer_8cpp_source.html#l00076">StridedSliceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_elementwise_unary_layer_8cpp_source.html#l00043">ElementwiseUnaryLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.html#l00072">ArgMinMaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_detection_post_process_layer_8cpp_source.html#l00037">DetectionPostProcessLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00122">DepthwiseConvolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_space_to_depth_layer_8cpp_source.html#l00064">SpaceToDepthLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fully_connected_layer_8cpp_source.html#l00064">FullyConnectedLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_space_to_batch_nd_layer_8cpp_source.html#l00069">SpaceToBatchNdLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00097">TransposeConvolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_prelu_layer_8cpp_source.html#l00097">PreluLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_comparison_layer_8cpp_source.html#l00058">ComparisonLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.html#l00060">DepthToSpaceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00115">Convolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_concat_layer_8cpp_source.html#l00244">ConcatLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_batch_normalization_layer_8cpp_source.html#l00051">BatchNormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.html#l00094">QuantizedLstmLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_lstm_layer_8cpp_source.html#l00160">LstmLayer::ValidateTensorShapesFromInputs()</a>.</p>
1786<div class="fragment"><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160;{</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; BOOST_ASSERT(<a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() == expectedConnections);</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160;</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i&lt;expectedConnections; ++i)</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; {</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(i).GetConnection() == <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; <span class="keywordflow">throw</span> LayerValidationException(</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; boost::str(</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; boost::format(</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; <span class="stringliteral">&quot;Input connection #%1% must be connected &quot;</span></div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; <span class="stringliteral">&quot;for %2% layer %3% %4%&quot;</span>)</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; % i</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; % <a class="code" href="namespacearmnn.html#a9da573d7a1fc03726fd41f2130cbcf92">GetLayerTypeAsCString</a>(this-&gt;<a class="code" href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">GetType</a>())</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; % <a class="code" href="classarmnn_1_1_layer.html#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>()</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; % location.AsString()));</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; }</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; <span class="keywordflow">if</span>(! <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(i).GetConnection()-&gt;IsTensorInfoSet())</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; {</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; <span class="keywordflow">throw</span> LayerValidationException(</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; boost::str(</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; boost::format(</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; <span class="stringliteral">&quot;TensorInfo of Input connection #%1% must be set on connected OutputSlot for &quot;</span></div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; <span class="stringliteral">&quot;%2% layer %3% %4%&quot;</span>)</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; % i</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; % <a class="code" href="namespacearmnn.html#a9da573d7a1fc03726fd41f2130cbcf92">GetLayerTypeAsCString</a>(this-&gt;<a class="code" href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">GetType</a>())</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; % <a class="code" href="classarmnn_1_1_layer.html#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>()</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; % location.AsString()));</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; }</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; }</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_layer_html_aaef29472862381822654ab6cbf7cba2a"><div class="ttname"><a href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00259">Layer.hpp:259</a></div></div>
1787<div class="ttc" id="namespacearmnn_html_a9da573d7a1fc03726fd41f2130cbcf92"><div class="ttname"><a href="namespacearmnn.html#a9da573d7a1fc03726fd41f2130cbcf92">armnn::GetLayerTypeAsCString</a></div><div class="ttdeci">char const * GetLayerTypeAsCString(LayerType type)</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8cpp_source.html#l00013">InternalTypes.cpp:13</a></div></div>
1788<div class="ttc" id="classarmnn_1_1_layer_html_a9a97cb6d32661a57fc33bd29b8e41ff4"><div class="ttname"><a href="classarmnn_1_1_layer.html#a9a97cb6d32661a57fc33bd29b8e41ff4">armnn::Layer::GetNameStr</a></div><div class="ttdeci">const std::string &amp; GetNameStr() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00216">Layer.hpp:216</a></div></div>
1789<div class="ttc" id="classarmnn_1_1_layer_html_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">armnn::Layer::GetNumInputSlots</a></div><div class="ttdeci">unsigned int GetNumInputSlots() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00307">Layer.hpp:307</a></div></div>
1790<div class="ttc" id="classarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot &amp; GetInputSlot(unsigned int index) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00310">Layer.hpp:310</a></div></div>
1791</div><!-- fragment -->
1792</div>
1793</div>
1794<h2 class="groupheader">Friends And Related Function Documentation</h2>
1795<a id="afab89afd724f1b07b1aaad6bdc61c47a"></a>
1796<h2 class="memtitle"><span class="permalink"><a href="#afab89afd724f1b07b1aaad6bdc61c47a">&#9670;&nbsp;</a></span>Graph</h2>
1797
1798<div class="memitem">
1799<div class="memproto">
1800<table class="mlabels">
1801 <tr>
1802 <td class="mlabels-left">
1803 <table class="memname">
1804 <tr>
1805 <td class="memname">friend class <a class="el" href="classarmnn_1_1_graph.html">Graph</a></td>
1806 </tr>
1807 </table>
1808 </td>
1809 <td class="mlabels-right">
1810<span class="mlabels"><span class="mlabel">friend</span></span> </td>
1811 </tr>
1812</table>
1813</div><div class="memdoc">
1814
1815<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00325">325</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1816
1817</div>
1818</div>
1819<h2 class="groupheader">Member Data Documentation</h2>
1820<a id="aa44d91037bba52ba0dec6577509ade3b"></a>
1821<h2 class="memtitle"><span class="permalink"><a href="#aa44d91037bba52ba0dec6577509ade3b">&#9670;&nbsp;</a></span>m_OutputHandlers</h2>
1822
1823<div class="memitem">
1824<div class="memproto">
1825<table class="mlabels">
1826 <tr>
1827 <td class="mlabels-left">
1828 <table class="memname">
1829 <tr>
1830 <td class="memname">std::vector&lt;<a class="el" href="classarmnn_1_1_output_handler.html">OutputHandler</a>&gt; m_OutputHandlers</td>
1831 </tr>
1832 </table>
1833 </td>
1834 <td class="mlabels-right">
1835<span class="mlabels"><span class="mlabel">protected</span></span> </td>
1836 </tr>
1837</table>
1838</div><div class="memdoc">
1839
1840<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.html#l00364">364</a> of file <a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>.</p>
1841
1842<p class="reference">Referenced by <a class="el" href="_concat_layer_8cpp_source.html#l00022">ConcatLayer::CreateWorkload()</a>, <a class="el" href="_splitter_layer_8cpp_source.html#l00021">SplitterLayer::CreateWorkload()</a>, and <a class="el" href="_layer_8cpp_source.html#l00187">Layer::Layer()</a>.</p>
1843
1844</div>
1845</div>
1846<hr/>The documentation for this class was generated from the following files:<ul>
1847<li>src/armnn/<a class="el" href="_layer_8hpp_source.html">Layer.hpp</a></li>
1848<li>src/armnn/<a class="el" href="_layer_8cpp_source.html">Layer.cpp</a></li>
1849<li>src/armnn/layers/<a class="el" href="_layer_clone_base_8hpp_source.html">LayerCloneBase.hpp</a></li>
1850</ul>
1851</div><!-- contents -->
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1855 <ul>
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1857 <li class="footer">Generated on Fri Mar 13 2020 16:07:03 for ArmNN by
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