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review.mlplatform.org / ml / armnn / e2062cdf1eb31b87860f9889f0e799e89f0dfa30 / . / Documentation / classarmnn_1_1_prelu_layer.xhtml
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Ryan OSheade36e4a2020-03-13 16:26:19 +0000[diff] [blame]1<!-- Copyright (c) 2020 ARM Limited. -->
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98<a href="#pub-methods">Public Member Functions</a> &#124;
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100<a href="classarmnn_1_1_prelu_layer-members.xhtml">List of all members</a> </div>
101 <div class="headertitle">
102<div class="title">PreluLayer Class Reference</div> </div>
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105
106<p><code>#include &lt;<a class="el" href="_prelu_layer_8hpp_source.xhtml">PreluLayer.hpp</a>&gt;</code></p>
107<div class="dynheader">
108Inheritance diagram for PreluLayer:</div>
109<div class="dyncontent">
110 <div class="center">
111 <img src="classarmnn_1_1_prelu_layer.png" usemap="#PreluLayer_map" alt=""/>
112 <map id="PreluLayer_map" name="PreluLayer_map">
113<area href="classarmnn_1_1_layer.xhtml" alt="Layer" shape="rect" coords="0,56,119,80"/>
114<area href="classarmnn_1_1_i_connectable_layer.xhtml" title="Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. " alt="IConnectableLayer" shape="rect" coords="0,0,119,24"/>
115</map>
116 </div></div>
117<table class="memberdecls">
118<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
119Public Member Functions</h2></td></tr>
120<tr class="memitem:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_prelu_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">CreateWorkload</a> (const <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a> &amp;factory) const override</td></tr>
121<tr class="memdesc:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Makes a workload for the PReLU type. <a href="#adfa912d0c4c6c00f1af2cbfa799572b7">More...</a><br /></td></tr>
122<tr class="separator:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="memSeparator" colspan="2">&#160;</td></tr>
123<tr class="memitem:af5dd85c2adbf7e9f95d9c984157620a9"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_prelu_layer.xhtml">PreluLayer</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_prelu_layer.xhtml#af5dd85c2adbf7e9f95d9c984157620a9">Clone</a> (<a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> &amp;graph) const override</td></tr>
124<tr class="memdesc:af5dd85c2adbf7e9f95d9c984157620a9"><td class="mdescLeft">&#160;</td><td class="mdescRight">Creates a dynamically-allocated copy of this layer. <a href="#af5dd85c2adbf7e9f95d9c984157620a9">More...</a><br /></td></tr>
125<tr class="separator:af5dd85c2adbf7e9f95d9c984157620a9"><td class="memSeparator" colspan="2">&#160;</td></tr>
126<tr class="memitem:a65ca562c882ad619684445a1402f415a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_prelu_layer.xhtml#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a> (const std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &gt; &amp;inputShapes) const override</td></tr>
127<tr class="memdesc:a65ca562c882ad619684445a1402f415a"><td class="mdescLeft">&#160;</td><td class="mdescRight">By default returns inputShapes if the number of inputs are equal to number of outputs, otherwise infers the output shapes from given input shapes and layer properties. <a href="#a65ca562c882ad619684445a1402f415a">More...</a><br /></td></tr>
128<tr class="separator:a65ca562c882ad619684445a1402f415a"><td class="memSeparator" colspan="2">&#160;</td></tr>
129<tr class="memitem:a8c8f543d7e9729362c266d12ec169966"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_prelu_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ValidateTensorShapesFromInputs</a> () override</td></tr>
130<tr class="memdesc:a8c8f543d7e9729362c266d12ec169966"><td class="mdescLeft">&#160;</td><td class="mdescRight">Check if the input tensor shape(s) will lead to a valid configuration of <a class="el" href="classarmnn_1_1_prelu_layer.xhtml">PreluLayer</a>. <a href="#a8c8f543d7e9729362c266d12ec169966">More...</a><br /></td></tr>
131<tr class="separator:a8c8f543d7e9729362c266d12ec169966"><td class="memSeparator" colspan="2">&#160;</td></tr>
132<tr class="memitem:a75a50f464326fefa605ea84ae2c9be85"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_prelu_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">Accept</a> (<a class="el" href="classarmnn_1_1_i_layer_visitor.xhtml">ILayerVisitor</a> &amp;visitor) const override</td></tr>
133<tr class="memdesc:a75a50f464326fefa605ea84ae2c9be85"><td class="mdescLeft">&#160;</td><td class="mdescRight">Apply a visitor to this layer. <a href="#a75a50f464326fefa605ea84ae2c9be85">More...</a><br /></td></tr>
134<tr class="separator:a75a50f464326fefa605ea84ae2c9be85"><td class="memSeparator" colspan="2">&#160;</td></tr>
135<tr class="inherit_header pub_methods_classarmnn_1_1_layer"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_layer')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a></td></tr>
136<tr class="memitem:a5e5ae420d199a0bccae5139d38c30205 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a5e5ae420d199a0bccae5139d38c30205">Layer</a> (unsigned int numInputSlots, unsigned int numOutputSlots, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, const char *name)</td></tr>
137<tr class="separator:a5e5ae420d199a0bccae5139d38c30205 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
138<tr class="memitem:a395d070748c18d903705799360088e80 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a395d070748c18d903705799360088e80">Layer</a> (unsigned int numInputSlots, unsigned int numOutputSlots, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> layout, const char *name)</td></tr>
139<tr class="separator:a395d070748c18d903705799360088e80 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
140<tr class="memitem:a9a97cb6d32661a57fc33bd29b8e41ff4 inherit pub_methods_classarmnn_1_1_layer"><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.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a> () const</td></tr>
141<tr class="separator:a9a97cb6d32661a57fc33bd29b8e41ff4 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
142<tr class="memitem:af2c0edc7ea62a8baaec4d3d9b2b09256 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a> (unsigned int i=0) const</td></tr>
143<tr class="separator:af2c0edc7ea62a8baaec4d3d9b2b09256 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
144<tr class="memitem:a1d4e05c17647232c514cfe58ca80744a inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a1d4e05c17647232c514cfe58ca80744a">GetOutputHandler</a> (unsigned int i=0)</td></tr>
145<tr class="separator:a1d4e05c17647232c514cfe58ca80744a inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
146<tr class="memitem:af5f530544d09a44d726f24702b67b35b inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const std::vector&lt; <a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a> &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a> () const</td></tr>
147<tr class="separator:af5f530544d09a44d726f24702b67b35b inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
148<tr class="memitem:a98cdff4e0b45f4c80bfcedaf926e16e0 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const std::vector&lt; <a class="el" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a> &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a98cdff4e0b45f4c80bfcedaf926e16e0">GetOutputSlots</a> () const</td></tr>
149<tr class="separator:a98cdff4e0b45f4c80bfcedaf926e16e0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
150<tr class="memitem:af6cb8de21ef0da269ec9b67755ae92a0 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a> &gt;::iterator&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#af6cb8de21ef0da269ec9b67755ae92a0">BeginInputSlots</a> ()</td></tr>
151<tr class="separator:af6cb8de21ef0da269ec9b67755ae92a0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
152<tr class="memitem:a9752e12d6b79e18da1a25f76159d2a72 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a> &gt;::iterator&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a9752e12d6b79e18da1a25f76159d2a72">EndInputSlots</a> ()</td></tr>
153<tr class="separator:a9752e12d6b79e18da1a25f76159d2a72 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
154<tr class="memitem:a817d4be6dd88f532d36f51748ec14185 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a> &gt;::iterator&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a817d4be6dd88f532d36f51748ec14185">BeginOutputSlots</a> ()</td></tr>
155<tr class="separator:a817d4be6dd88f532d36f51748ec14185 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
156<tr class="memitem:a55f76d98fcd2f5cdac3e2b14536cb7ab inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a> &gt;::iterator&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a55f76d98fcd2f5cdac3e2b14536cb7ab">EndOutputSlots</a> ()</td></tr>
157<tr class="separator:a55f76d98fcd2f5cdac3e2b14536cb7ab inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
158<tr class="memitem:a22485f444124128940e798a42f0b76d9 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a22485f444124128940e798a42f0b76d9">IsOutputUnconnected</a> ()</td></tr>
159<tr class="separator:a22485f444124128940e798a42f0b76d9 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
160<tr class="memitem:aac329cade047e952621b59a51a5d5f49 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#aac329cade047e952621b59a51a5d5f49">ResetPriority</a> () const</td></tr>
161<tr class="separator:aac329cade047e952621b59a51a5d5f49 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
162<tr class="memitem:af97a07195a67a638605b3c325763c2dd inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#af97a07195a67a638605b3c325763c2dd">GetPriority</a> () const</td></tr>
163<tr class="separator:af97a07195a67a638605b3c325763c2dd inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
164<tr class="memitem:aaef29472862381822654ab6cbf7cba2a inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a> () const</td></tr>
165<tr class="separator:aaef29472862381822654ab6cbf7cba2a inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
166<tr class="memitem:aea909c7327109228ef618d459015def3 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a> () const</td></tr>
167<tr class="separator:aea909c7327109228ef618d459015def3 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
168<tr class="memitem:afdb1d37740e7a083b625d669588b6a0e inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a> () const</td></tr>
169<tr class="separator:afdb1d37740e7a083b625d669588b6a0e inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
170<tr class="memitem:a3f6ad59212fa8a47c9265162fff8a274 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a> (const <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> &amp;id)</td></tr>
171<tr class="separator:a3f6ad59212fa8a47c9265162fff8a274 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
172<tr class="memitem:a3ff62126ec713a2708e5fbaa6146a7de inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a3ff62126ec713a2708e5fbaa6146a7de">CreateTensorHandles</a> (const <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a> &amp;registry, const <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a> &amp;factory, const bool IsMemoryManaged=<a class="el" href="_ref_layer_tests_8cpp.xhtml#a37f1c3ccc9fc906be85185350dd83d48">true</a>)</td></tr>
173<tr class="separator:a3ff62126ec713a2708e5fbaa6146a7de inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
174<tr class="memitem:a0607e36e88f38c34c71c663164b76776 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a> (unsigned int expectedConnections, const <a class="el" href="structarmnn_1_1_check_location.xhtml">CheckLocation</a> &amp;location) const</td></tr>
175<tr class="separator:a0607e36e88f38c34c71c663164b76776 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
176<tr class="memitem:ac04cd8de9b9185756eb02463ffd432b1 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#ac04cd8de9b9185756eb02463ffd432b1">SerializeLayerParameters</a> (<a class="el" href="namespacearmnn.xhtml#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a> &amp;fn) const</td></tr>
177<tr class="memdesc:ac04cd8de9b9185756eb02463ffd432b1 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Helper to serialize the layer parameters to string. <a href="classarmnn_1_1_layer.xhtml#ac04cd8de9b9185756eb02463ffd432b1">More...</a><br /></td></tr>
178<tr class="separator:ac04cd8de9b9185756eb02463ffd432b1 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
179<tr class="memitem:a339bef86bc340c3d1393ed83950fe8af inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a339bef86bc340c3d1393ed83950fe8af">ReleaseConstantData</a> ()</td></tr>
180<tr class="separator:a339bef86bc340c3d1393ed83950fe8af inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
181<tr class="memitem:a386acff5f8430245239ce58d00ba7576 inherit pub_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename Op &gt; </td></tr>
182<tr class="memitem:a386acff5f8430245239ce58d00ba7576 inherit pub_methods_classarmnn_1_1_layer"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a386acff5f8430245239ce58d00ba7576">OperateOnConstantTensors</a> (Op op)</td></tr>
183<tr class="separator:a386acff5f8430245239ce58d00ba7576 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
184<tr class="memitem:a7ddf0cf6f620d59c10e63495ace795d0 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const char *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a> () const override</td></tr>
185<tr class="memdesc:a7ddf0cf6f620d59c10e63495ace795d0 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the name of the layer. <a href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">More...</a><br /></td></tr>
186<tr class="separator:a7ddf0cf6f620d59c10e63495ace795d0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
187<tr class="memitem:abc0660dc440c8a285b456c9ef6383c26 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a> () const override</td></tr>
188<tr class="memdesc:abc0660dc440c8a285b456c9ef6383c26 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of connectable input slots. <a href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">More...</a><br /></td></tr>
189<tr class="separator:abc0660dc440c8a285b456c9ef6383c26 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
190<tr class="memitem:a1594bddc87d6477df300317658f566bb inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a> () const override</td></tr>
191<tr class="memdesc:a1594bddc87d6477df300317658f566bb inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of connectable output slots. <a href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">More...</a><br /></td></tr>
192<tr class="separator:a1594bddc87d6477df300317658f566bb inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
193<tr class="memitem:acf8b8e23bf647836592982f97088d375 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a> (unsigned int index) const override</td></tr>
194<tr class="memdesc:acf8b8e23bf647836592982f97088d375 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get a const input slot handle by slot index. <a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">More...</a><br /></td></tr>
195<tr class="separator:acf8b8e23bf647836592982f97088d375 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
196<tr class="memitem:a1b50eb1358cdf382f4bc3fc8849f8e8e inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a1b50eb1358cdf382f4bc3fc8849f8e8e">GetInputSlot</a> (unsigned int index) override</td></tr>
197<tr class="memdesc:a1b50eb1358cdf382f4bc3fc8849f8e8e inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the input slot handle by slot index. <a href="classarmnn_1_1_layer.xhtml#a1b50eb1358cdf382f4bc3fc8849f8e8e">More...</a><br /></td></tr>
198<tr class="separator:a1b50eb1358cdf382f4bc3fc8849f8e8e inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
199<tr class="memitem:a0e36688a43c35668d8db5257274c68fe inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a> (unsigned int index=0) const override</td></tr>
200<tr class="memdesc:a0e36688a43c35668d8db5257274c68fe inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the const output slot handle by slot index. <a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">More...</a><br /></td></tr>
201<tr class="separator:a0e36688a43c35668d8db5257274c68fe inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
202<tr class="memitem:abbd71844785bb2f00a81baca30ea5ff0 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#abbd71844785bb2f00a81baca30ea5ff0">GetOutputSlot</a> (unsigned int index=0) override</td></tr>
203<tr class="memdesc:abbd71844785bb2f00a81baca30ea5ff0 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the output slot handle by slot index. <a href="classarmnn_1_1_layer.xhtml#abbd71844785bb2f00a81baca30ea5ff0">More...</a><br /></td></tr>
204<tr class="separator:abbd71844785bb2f00a81baca30ea5ff0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
205<tr class="memitem:a6d1024208b672a87ef2c1bfaf93d2b9f inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a6d1024208b672a87ef2c1bfaf93d2b9f">SetGuid</a> (<a class="el" href="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a> guid)</td></tr>
206<tr class="separator:a6d1024208b672a87ef2c1bfaf93d2b9f inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
207<tr class="memitem:a8dc12f0ee5b232d397bd18ced1a72a64 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a> () const final</td></tr>
208<tr class="memdesc:a8dc12f0ee5b232d397bd18ced1a72a64 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the unique id of the layer. <a href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">More...</a><br /></td></tr>
209<tr class="separator:a8dc12f0ee5b232d397bd18ced1a72a64 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
210<tr class="memitem:a339248d89d5e21534ecf74b4393ed4d2 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a339248d89d5e21534ecf74b4393ed4d2">AddRelatedLayerName</a> (const std::string layerName)</td></tr>
211<tr class="separator:a339248d89d5e21534ecf74b4393ed4d2 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
212<tr class="memitem:a5e5520194ea4042fe07b0bf53c28f634 inherit pub_methods_classarmnn_1_1_layer"><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.xhtml#a5e5520194ea4042fe07b0bf53c28f634">GetRelatedLayerNames</a> ()</td></tr>
213<tr class="separator:a5e5520194ea4042fe07b0bf53c28f634 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
214<tr class="memitem:a72b18e4c5a403bc3fe2fecf20135c8d6 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a72b18e4c5a403bc3fe2fecf20135c8d6">Reparent</a> (<a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> &amp;dest, std::list&lt; <a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a> *&gt;::const_iterator iterator)=0</td></tr>
215<tr class="separator:a72b18e4c5a403bc3fe2fecf20135c8d6 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
216<tr class="memitem:a43a46eafee5c08787ab17b4342730c20 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a43a46eafee5c08787ab17b4342730c20">BackendSelectionHint</a> (<a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>&lt; <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> &gt; backend) final</td></tr>
217<tr class="memdesc:a43a46eafee5c08787ab17b4342730c20 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Provide a hint for the optimizer as to which backend to prefer for this layer. <a href="classarmnn_1_1_layer.xhtml#a43a46eafee5c08787ab17b4342730c20">More...</a><br /></td></tr>
218<tr class="separator:a43a46eafee5c08787ab17b4342730c20 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
219<tr class="memitem:a6ff80e440308295056b57e2adaa42888 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>&lt; <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a6ff80e440308295056b57e2adaa42888">GetBackendHint</a> () const</td></tr>
220<tr class="separator:a6ff80e440308295056b57e2adaa42888 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
221</table><table class="memberdecls">
222<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a>
223Protected Member Functions</h2></td></tr>
224<tr class="memitem:ad3ae922a3829fa9cf40bd13bc211f40b"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_prelu_layer.xhtml#ad3ae922a3829fa9cf40bd13bc211f40b">PreluLayer</a> (const char *name)</td></tr>
225<tr class="memdesc:ad3ae922a3829fa9cf40bd13bc211f40b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor to create a <a class="el" href="classarmnn_1_1_prelu_layer.xhtml">PreluLayer</a>. <a href="#ad3ae922a3829fa9cf40bd13bc211f40b">More...</a><br /></td></tr>
226<tr class="separator:ad3ae922a3829fa9cf40bd13bc211f40b"><td class="memSeparator" colspan="2">&#160;</td></tr>
227<tr class="memitem:af30fce636a75473916135d06165b7172"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_prelu_layer.xhtml#af30fce636a75473916135d06165b7172">~PreluLayer</a> ()=default</td></tr>
228<tr class="memdesc:af30fce636a75473916135d06165b7172"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor. <a href="#af30fce636a75473916135d06165b7172">More...</a><br /></td></tr>
229<tr class="separator:af30fce636a75473916135d06165b7172"><td class="memSeparator" colspan="2">&#160;</td></tr>
230<tr class="inherit_header pro_methods_classarmnn_1_1_layer"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_layer')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a></td></tr>
231<tr class="memitem:aacfb208d750bdfce1bbd423e5cac76e2 inherit pro_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#aacfb208d750bdfce1bbd423e5cac76e2">~Layer</a> ()=default</td></tr>
232<tr class="separator:aacfb208d750bdfce1bbd423e5cac76e2 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
233<tr class="memitem:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
234<tr class="memitem:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#afc3239f5fc116259bf5451964e803646">CollectQueueDescriptorInputs</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> &amp;descriptor, <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &amp;<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr>
235<tr class="separator:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
236<tr class="memitem:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
237<tr class="memitem:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a499ca5a94d0174ed21786b6994b2cd8c">CollectQueueDescriptorOutputs</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> &amp;descriptor, <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &amp;<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr>
238<tr class="separator:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
239<tr class="memitem:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
240<tr class="memitem:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> &amp;descriptor) const</td></tr>
241<tr class="memdesc:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Helper function to reduce duplication in *Layer<a class="el" href="_elementwise_unary_test_impl_8hpp.xhtml#aa50938ed8f91e09acd4af904dcf5543a">CreateWorkload</a>. <a href="classarmnn_1_1_layer.xhtml#a30a858b2b26d651a066537e499fbf40d">More...</a><br /></td></tr>
242<tr class="separator:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
243<tr class="memitem:aa10fd205c3f5469a9ecb2aa2a3ffd101 inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename LayerType , typename ... Params&gt; </td></tr>
244<tr class="memitem:aa10fd205c3f5469a9ecb2aa2a3ffd101 inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> *&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#aa10fd205c3f5469a9ecb2aa2a3ffd101">CloneBase</a> (<a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> &amp;graph, Params &amp;&amp;... params) const</td></tr>
245<tr class="separator:aa10fd205c3f5469a9ecb2aa2a3ffd101 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
246<tr class="memitem:afbeac2d77ecaadc3e303a163b4146961 inherit pro_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">ConstantTensors</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#afbeac2d77ecaadc3e303a163b4146961">GetConstantTensorsByRef</a> ()</td></tr>
247<tr class="separator:afbeac2d77ecaadc3e303a163b4146961 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
248<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.xhtml">IConnectableLayer</a></td></tr>
249<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.xhtml#a8c7faf37c1d965431aaa02ae934d67ee">~IConnectableLayer</a> ()</td></tr>
250<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.xhtml#a8c7faf37c1d965431aaa02ae934d67ee">More...</a><br /></td></tr>
251<tr class="separator:a8c7faf37c1d965431aaa02ae934d67ee inherit pro_methods_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
252</table><table class="memberdecls">
253<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
254Additional Inherited Members</h2></td></tr>
255<tr class="inherit_header pro_types_classarmnn_1_1_layer"><td colspan="2" onclick="javascript:toggleInherit('pro_types_classarmnn_1_1_layer')"><img src="closed.png" alt="-"/>&#160;Protected Types inherited from <a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a></td></tr>
256<tr class="memitem:a585d59ec610af46a76487fd6c1c55ac1 inherit pro_types_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#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.xhtml">ScopedCpuTensorHandle</a> &gt; &gt;&gt;</td></tr>
257<tr class="separator:a585d59ec610af46a76487fd6c1c55ac1 inherit pro_types_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
258<tr class="inherit_header pro_attribs_classarmnn_1_1_layer"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_classarmnn_1_1_layer')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a></td></tr>
259<tr class="memitem:aa44d91037bba52ba0dec6577509ade3b inherit pro_attribs_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a></td></tr>
260<tr class="separator:aa44d91037bba52ba0dec6577509ade3b inherit pro_attribs_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
261</table>
262<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
263<div class="textblock">
264<p class="definition">Definition at line <a class="el" href="_prelu_layer_8hpp_source.xhtml#l00014">14</a> of file <a class="el" href="_prelu_layer_8hpp_source.xhtml">PreluLayer.hpp</a>.</p>
265</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
266<a id="ad3ae922a3829fa9cf40bd13bc211f40b"></a>
267<h2 class="memtitle"><span class="permalink"><a href="#ad3ae922a3829fa9cf40bd13bc211f40b">&#9670;&nbsp;</a></span>PreluLayer()</h2>
268
269<div class="memitem">
270<div class="memproto">
271<table class="mlabels">
272 <tr>
273 <td class="mlabels-left">
274 <table class="memname">
275 <tr>
276 <td class="memname"><a class="el" href="classarmnn_1_1_prelu_layer.xhtml">PreluLayer</a> </td>
277 <td>(</td>
278 <td class="paramtype">const char *&#160;</td>
279 <td class="paramname"><em>name</em></td><td>)</td>
280 <td></td>
281 </tr>
282 </table>
283 </td>
284 <td class="mlabels-right">
285<span class="mlabels"><span class="mlabel">protected</span></span> </td>
286 </tr>
287</table>
288</div><div class="memdoc">
289
290<p>Constructor to create a <a class="el" href="classarmnn_1_1_prelu_layer.xhtml">PreluLayer</a>. </p>
291<dl class="params"><dt>Parameters</dt><dd>
292 <table class="params">
293 <tr><td class="paramdir">[in]</td><td class="paramname">name</td><td><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a> name for the layer. </td></tr>
294 </table>
295 </dd>
296</dl>
297
298<p class="definition">Definition at line <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00017">17</a> of file <a class="el" href="_prelu_layer_8cpp_source.xhtml">PreluLayer.cpp</a>.</p>
299
300<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::Prelu</a>.</p>
301<div class="fragment"><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; : <a class="code" href="classarmnn_1_1_layer.xhtml#a5e5ae420d199a0bccae5139d38c30205">Layer</a>(2, 1, <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">LayerType::Prelu</a>, name)</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;{}</div><div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::LayerType::Prelu</a></div></div>
302<div class="ttc" id="classarmnn_1_1_layer_xhtml_a5e5ae420d199a0bccae5139d38c30205"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#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.xhtml#l00213">Layer.cpp:213</a></div></div>
303</div><!-- fragment -->
304</div>
305</div>
306<a id="af30fce636a75473916135d06165b7172"></a>
307<h2 class="memtitle"><span class="permalink"><a href="#af30fce636a75473916135d06165b7172">&#9670;&nbsp;</a></span>~PreluLayer()</h2>
308
309<div class="memitem">
310<div class="memproto">
311<table class="mlabels">
312 <tr>
313 <td class="mlabels-left">
314 <table class="memname">
315 <tr>
316 <td class="memname">~<a class="el" href="classarmnn_1_1_prelu_layer.xhtml">PreluLayer</a> </td>
317 <td>(</td>
318 <td class="paramname"></td><td>)</td>
319 <td></td>
320 </tr>
321 </table>
322 </td>
323 <td class="mlabels-right">
324<span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">default</span></span> </td>
325 </tr>
326</table>
327</div><div class="memdoc">
328
329<p>Default destructor. </p>
330
331</div>
332</div>
333<h2 class="groupheader">Member Function Documentation</h2>
334<a id="a75a50f464326fefa605ea84ae2c9be85"></a>
335<h2 class="memtitle"><span class="permalink"><a href="#a75a50f464326fefa605ea84ae2c9be85">&#9670;&nbsp;</a></span>Accept()</h2>
336
337<div class="memitem">
338<div class="memproto">
339<table class="mlabels">
340 <tr>
341 <td class="mlabels-left">
342 <table class="memname">
343 <tr>
344 <td class="memname">void Accept </td>
345 <td>(</td>
346 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_layer_visitor.xhtml">ILayerVisitor</a> &amp;&#160;</td>
347 <td class="paramname"><em>visitor</em></td><td>)</td>
348 <td> const</td>
349 </tr>
350 </table>
351 </td>
352 <td class="mlabels-right">
353<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
354 </tr>
355</table>
356</div><div class="memdoc">
357
358<p>Apply a visitor to this layer. </p>
359
360<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a8c9198a992b02e61a6777329d487dde3">IConnectableLayer</a>.</p>
361
362<p class="definition">Definition at line <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00115">115</a> of file <a class="el" href="_prelu_layer_8cpp_source.xhtml">PreluLayer.cpp</a>.</p>
363
364<p class="reference">References <a class="el" href="_layer_8hpp_source.xhtml#l00305">Layer::GetName()</a>, and <a class="el" href="classarmnn_1_1_i_layer_visitor.xhtml#a4f6971a5d2c164c691dc7943f4befd5c">ILayerVisitor::VisitPreluLayer()</a>.</p>
365<div class="fragment"><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;{</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; visitor.VisitPreluLayer(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00305">Layer.hpp:305</a></div></div>
366</div><!-- fragment -->
367</div>
368</div>
369<a id="af5dd85c2adbf7e9f95d9c984157620a9"></a>
370<h2 class="memtitle"><span class="permalink"><a href="#af5dd85c2adbf7e9f95d9c984157620a9">&#9670;&nbsp;</a></span>Clone()</h2>
371
372<div class="memitem">
373<div class="memproto">
374<table class="mlabels">
375 <tr>
376 <td class="mlabels-left">
377 <table class="memname">
378 <tr>
379 <td class="memname"><a class="el" href="classarmnn_1_1_prelu_layer.xhtml">PreluLayer</a> * Clone </td>
380 <td>(</td>
381 <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> &amp;&#160;</td>
382 <td class="paramname"><em>graph</em></td><td>)</td>
383 <td> const</td>
384 </tr>
385 </table>
386 </td>
387 <td class="mlabels-right">
388<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
389 </tr>
390</table>
391</div><div class="memdoc">
392
393<p>Creates a dynamically-allocated copy of this layer. </p>
394<dl class="params"><dt>Parameters</dt><dd>
395 <table class="params">
396 <tr><td class="paramdir">[in]</td><td class="paramname">graph</td><td>The graph into which this layer is being cloned. </td></tr>
397 </table>
398 </dd>
399</dl>
400
401<p>Implements <a class="el" href="classarmnn_1_1_layer.xhtml#ae89ff455503aa106d00bf34103d2f2e0">Layer</a>.</p>
402
403<p class="definition">Definition at line <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00028">28</a> of file <a class="el" href="_prelu_layer_8cpp_source.xhtml">PreluLayer.cpp</a>.</p>
404
405<p class="reference">References <a class="el" href="_layer_8hpp_source.xhtml#l00305">Layer::GetName()</a>.</p>
406<div class="fragment"><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;{</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keyword">auto</span> layer = CloneBase&lt;PreluLayer&gt;(graph, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keywordflow">return</span> std::move(layer);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00305">Layer.hpp:305</a></div></div>
407</div><!-- fragment -->
408</div>
409</div>
410<a id="adfa912d0c4c6c00f1af2cbfa799572b7"></a>
411<h2 class="memtitle"><span class="permalink"><a href="#adfa912d0c4c6c00f1af2cbfa799572b7">&#9670;&nbsp;</a></span>CreateWorkload()</h2>
412
413<div class="memitem">
414<div class="memproto">
415<table class="mlabels">
416 <tr>
417 <td class="mlabels-left">
418 <table class="memname">
419 <tr>
420 <td class="memname">std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> &gt; CreateWorkload </td>
421 <td>(</td>
422 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a> &amp;&#160;</td>
423 <td class="paramname"><em>factory</em></td><td>)</td>
424 <td> const</td>
425 </tr>
426 </table>
427 </td>
428 <td class="mlabels-right">
429<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
430 </tr>
431</table>
432</div><div class="memdoc">
433
434<p>Makes a workload for the PReLU type. </p>
435<dl class="params"><dt>Parameters</dt><dd>
436 <table class="params">
437 <tr><td class="paramdir">[in]</td><td class="paramname">graph</td><td>The graph where this layer can be found. </td></tr>
438 <tr><td class="paramdir">[in]</td><td class="paramname">factory</td><td>The workload factory which will create the workload. </td></tr>
439 </table>
440 </dd>
441</dl>
442<dl class="section return"><dt>Returns</dt><dd>A pointer to the created workload, or nullptr if not created. </dd></dl>
443
444<p>Implements <a class="el" href="classarmnn_1_1_layer.xhtml#a08d1e10a45f15cd0bd02557be35a3864">Layer</a>.</p>
445
446<p class="definition">Definition at line <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00021">21</a> of file <a class="el" href="_prelu_layer_8cpp_source.xhtml">PreluLayer.cpp</a>.</p>
447
448<p class="reference">References <a class="el" href="_workload_factory_8cpp_source.xhtml#l01352">IWorkloadFactory::CreatePrelu()</a>, and <a class="el" href="_layer_8hpp_source.xhtml#l00351">Layer::PrepInfoAndDesc()</a>.</p>
449<div class="fragment"><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;{</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; PreluQueueDescriptor descriptor;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keywordflow">return</span> factory.CreatePrelu(descriptor, <a class="code" href="classarmnn_1_1_layer.xhtml#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a30a858b2b26d651a066537e499fbf40d">armnn::Layer::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &amp;descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *LayerCreateWorkload. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00351">Layer.hpp:351</a></div></div>
450</div><!-- fragment -->
451</div>
452</div>
453<a id="a65ca562c882ad619684445a1402f415a"></a>
454<h2 class="memtitle"><span class="permalink"><a href="#a65ca562c882ad619684445a1402f415a">&#9670;&nbsp;</a></span>InferOutputShapes()</h2>
455
456<div class="memitem">
457<div class="memproto">
458<table class="mlabels">
459 <tr>
460 <td class="mlabels-left">
461 <table class="memname">
462 <tr>
463 <td class="memname">std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &gt; InferOutputShapes </td>
464 <td>(</td>
465 <td class="paramtype">const std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &gt; &amp;&#160;</td>
466 <td class="paramname"><em>inputShapes</em></td><td>)</td>
467 <td> const</td>
468 </tr>
469 </table>
470 </td>
471 <td class="mlabels-right">
472<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
473 </tr>
474</table>
475</div><div class="memdoc">
476
477<p>By default returns inputShapes if the number of inputs are equal to number of outputs, otherwise infers the output shapes from given input shapes and layer properties. </p>
478<dl class="params"><dt>Parameters</dt><dd>
479 <table class="params">
480 <tr><td class="paramdir">[in]</td><td class="paramname">inputShapes</td><td>The input shapes layer has. </td></tr>
481 </table>
482 </dd>
483</dl>
484<dl class="section return"><dt>Returns</dt><dd>A vector to the inferred output shape. </dd></dl>
485
486<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.xhtml#a65ca562c882ad619684445a1402f415a">Layer</a>.</p>
487
488<p class="definition">Definition at line <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00035">35</a> of file <a class="el" href="_prelu_layer_8cpp_source.xhtml">PreluLayer.cpp</a>.</p>
489
490<p class="reference">References <a class="el" href="_tensor_8hpp_source.xhtml#l00043">TensorShape::GetNumDimensions()</a>, and <a class="el" href="_numeric_cast_8hpp_source.xhtml#l00033">armnn::numeric_cast()</a>.</p>
491
492<p class="reference">Referenced by <a class="el" href="_infer_output_tests_8hpp_source.xhtml#l00151">PreluInferOutputShapeImpl()</a>, and <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00097">PreluLayer::ValidateTensorShapesFromInputs()</a>.</p>
493<div class="fragment"><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;{</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; BOOST_ASSERT(inputShapes.size() == 2);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keyword">const</span> TensorShape&amp; inputShape = inputShapes[0];</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="keyword">const</span> TensorShape&amp; alphaShape = inputShapes[1];</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShapeDimensions = inputShape.GetNumDimensions();</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> alphaShapeDimensions = alphaShape.GetNumDimensions();</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; BOOST_ASSERT(inputShapeDimensions &gt; 0);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; BOOST_ASSERT(alphaShapeDimensions &gt; 0);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="comment">// The size of the output is the maximum size along each dimension of the input operands,</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="comment">// it starts with the trailing dimensions, and works its way forward</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputDimensions = std::max(inputShapeDimensions, alphaShapeDimensions);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; TensorShape outputShape(outputDimensions);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keywordtype">int</span> inputShapeIndex = <a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a>&lt;<span class="keywordtype">int</span>&gt;(inputShapeDimensions) - 1;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keywordtype">int</span> alphaShapeIndex = <a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a>&lt;<span class="keywordtype">int</span>&gt;(alphaShapeDimensions) - 1;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShapeIndex = outputDimensions - 1;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="comment">// Loop backwards through the common part of the shapes</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keywordflow">while</span> (inputShapeIndex &gt;= 0 &amp;&amp; alphaShapeIndex &gt;= 0)</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputDimension = inputShape[<a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a>&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;(inputShapeIndex)];</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> alphaDimension = alphaShape[<a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a>&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;(alphaShapeIndex)];</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="comment">// Check that the inputs are broadcast compatible</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; BOOST_ASSERT_MSG(inputDimension == alphaDimension || inputDimension == 1 || alphaDimension == 1,</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="stringliteral">&quot;PreluLayer: Dimensions should either match or one should be of size 1&quot;</span>);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; outputShape[outputShapeIndex] = std::max(inputDimension, alphaDimension);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; inputShapeIndex--;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; alphaShapeIndex--;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; outputShapeIndex--;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="comment">// Loop backwards through the remaing part of the input shape (if any)</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">while</span> (inputShapeIndex &gt;= 0)</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; outputShape[outputShapeIndex] = inputShape[<a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a>&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;(inputShapeIndex)];</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; inputShapeIndex--;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; outputShapeIndex--;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; }</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="comment">// Loop backwards through the remaing part of the alpha shape (if any)</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordflow">while</span> (alphaShapeIndex &gt;= 0)</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; outputShape[outputShapeIndex] = alphaShape[<a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a>&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;(alphaShapeIndex)];</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; alphaShapeIndex--;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; outputShapeIndex--;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordflow">return</span> { outputShape };</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_a37fa39012e90d568df7f774cd6d1e956"><div class="ttname"><a href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">armnn::numeric_cast</a></div><div class="ttdeci">std::enable_if_t&lt; std::is_unsigned&lt; Source &gt;::value &amp;&amp;std::is_unsigned&lt; Dest &gt;::value, Dest &gt; numeric_cast(Source source)</div><div class="ttdef"><b>Definition:</b> <a href="_numeric_cast_8hpp_source.xhtml#l00033">NumericCast.hpp:33</a></div></div>
494</div><!-- fragment -->
495</div>
496</div>
497<a id="a8c8f543d7e9729362c266d12ec169966"></a>
498<h2 class="memtitle"><span class="permalink"><a href="#a8c8f543d7e9729362c266d12ec169966">&#9670;&nbsp;</a></span>ValidateTensorShapesFromInputs()</h2>
499
500<div class="memitem">
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504 <td class="mlabels-left">
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507 <td class="memname">void ValidateTensorShapesFromInputs </td>
508 <td>(</td>
509 <td class="paramname"></td><td>)</td>
510 <td></td>
511 </tr>
512 </table>
513 </td>
514 <td class="mlabels-right">
515<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
516 </tr>
517</table>
518</div><div class="memdoc">
519
520<p>Check if the input tensor shape(s) will lead to a valid configuration of <a class="el" href="classarmnn_1_1_prelu_layer.xhtml">PreluLayer</a>. </p>
521
522<p>Implements <a class="el" href="classarmnn_1_1_layer.xhtml#a84ff600212ba26e665de9b978ec896a4">Layer</a>.</p>
523
524<p class="definition">Definition at line <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00097">97</a> of file <a class="el" href="_prelu_layer_8cpp_source.xhtml">PreluLayer.cpp</a>.</p>
525
526<p class="reference">References <a class="el" href="_exceptions_8hpp_source.xhtml#l00192">CHECK_LOCATION</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00199">InputSlot::GetConnection()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00310">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00312">Layer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00088">TensorInfo::GetShape()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00063">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00035">PreluLayer::InferOutputShapes()</a>, and <a class="el" href="_layer_8cpp_source.xhtml#l00338">Layer::VerifyLayerConnections()</a>.</p>
527<div class="fragment"><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;{</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(2, <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; std::vector&lt;TensorShape&gt; inferredShapes = <a class="code" href="classarmnn_1_1_prelu_layer.xhtml#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>()-&gt;<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>()-&gt;<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; });</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; BOOST_ASSERT(inferredShapes.size() == 1);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; ConditionalThrowIfNotEqual&lt;LayerValidationException&gt;(</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="stringliteral">&quot;PreluLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.&quot;</span>,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; inferredShapes[0]);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div>
528<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a3153abb7c0c0a84629079b2fac7db54f"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#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.xhtml#l00199">Layer.hpp:199</a></div></div>
529<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &amp;location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00338">Layer.cpp:338</a></div></div>
530<div class="ttc" id="classarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot &amp; GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00310">Layer.hpp:310</a></div></div>
531<div class="ttc" id="classarmnn_1_1_prelu_layer_xhtml_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_prelu_layer.xhtml#a65ca562c882ad619684445a1402f415a">armnn::PreluLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector&lt; TensorShape &gt; InferOutputShapes(const std::vector&lt; TensorShape &gt; &amp;inputShapes) const override</div><div class="ttdoc">By default returns inputShapes if the number of inputs are equal to number of outputs, otherwise infers the output shapes from given input shapes and layer properties. </div><div class="ttdef"><b>Definition:</b> <a href="_prelu_layer_8cpp_source.xhtml#l00035">PreluLayer.cpp:35</a></div></div>
532<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00192">Exceptions.hpp:192</a></div></div>
533<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot &amp; GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00312">Layer.hpp:312</a></div></div>
534<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo &amp; GetTensorInfo() const =0</div></div>
535<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#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.xhtml#l00063">Layer.cpp:63</a></div></div>
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539<hr/>The documentation for this class was generated from the following files:<ul>
540<li>src/armnn/layers/<a class="el" href="_prelu_layer_8hpp_source.xhtml">PreluLayer.hpp</a></li>
541<li>src/armnn/layers/<a class="el" href="_prelu_layer_8cpp_source.xhtml">PreluLayer.cpp</a></li>
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