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94<div class="header">
95 <div class="summary">
96<a href="#pub-methods">Public Member Functions</a> &#124;
97<a href="#pro-methods">Protected Member Functions</a> &#124;
98<a href="classarmnn_1_1_convolution3d_layer-members.html">List of all members</a> </div>
99 <div class="headertitle">
100<div class="title">Convolution3dLayer Class Reference</div> </div>
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102<div class="contents">
103
104<p>This layer represents a convolution 3d operation.
105 <a href="classarmnn_1_1_convolution3d_layer.html#details">More...</a></p>
106
107<p><code>#include &lt;<a class="el" href="_convolution3d_layer_8hpp_source.html">Convolution3dLayer.hpp</a>&gt;</code></p>
108<div class="dynheader">
109Inheritance diagram for Convolution3dLayer:</div>
110<div class="dyncontent">
111<div class="center"><iframe scrolling="no" frameborder="0" src="classarmnn_1_1_convolution3d_layer__inherit__graph.svg" width="367" height="384"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
112</div>
113<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
114<div class="dynheader">
115Collaboration diagram for Convolution3dLayer:</div>
116<div class="dyncontent">
117<div class="center"><iframe scrolling="no" frameborder="0" src="classarmnn_1_1_convolution3d_layer__coll__graph.svg" width="466" height="384"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
118</div>
119<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
120<table class="memberdecls">
121<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
122Public Member Functions</h2></td></tr>
123<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.html">IWorkload</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_convolution3d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">CreateWorkload</a> (const <a class="el" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a> &amp;factory) const override</td></tr>
124<tr class="memdesc:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Makes a workload for the Convolution3d type. <a href="classarmnn_1_1_convolution3d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">More...</a><br /></td></tr>
125<tr class="separator:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="memSeparator" colspan="2">&#160;</td></tr>
126<tr class="memitem:aaa20b55aac06f7510f838b6fb5504426"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_convolution3d_layer.html">Convolution3dLayer</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_convolution3d_layer.html#aaa20b55aac06f7510f838b6fb5504426">Clone</a> (<a class="el" href="classarmnn_1_1_graph.html">Graph</a> &amp;graph) const override</td></tr>
127<tr class="memdesc:aaa20b55aac06f7510f838b6fb5504426"><td class="mdescLeft">&#160;</td><td class="mdescRight">Creates a dynamically-allocated copy of this layer. <a href="classarmnn_1_1_convolution3d_layer.html#aaa20b55aac06f7510f838b6fb5504426">More...</a><br /></td></tr>
128<tr class="separator:aaa20b55aac06f7510f838b6fb5504426"><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_convolution3d_layer.html#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_convolution3d_layer.html">Convolution3dLayer</a>. <a href="classarmnn_1_1_convolution3d_layer.html#a8c8f543d7e9729362c266d12ec169966">More...</a><br /></td></tr>
131<tr class="separator:a8c8f543d7e9729362c266d12ec169966"><td class="memSeparator" colspan="2">&#160;</td></tr>
132<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_convolution3d_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>
133<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="classarmnn_1_1_convolution3d_layer.html#a65ca562c882ad619684445a1402f415a">More...</a><br /></td></tr>
134<tr class="separator:a65ca562c882ad619684445a1402f415a"><td class="memSeparator" colspan="2">&#160;</td></tr>
135<tr class="memitem:a46fc3fdd4b2a5dd6d184e57983cf20bc"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_convolution3d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ExecuteStrategy</a> (<a class="el" href="classarmnn_1_1_i_strategy.html">IStrategy</a> &amp;strategy) const override</td></tr>
136<tr class="memdesc:a46fc3fdd4b2a5dd6d184e57983cf20bc"><td class="mdescLeft">&#160;</td><td class="mdescRight">Apply a visitor to this layer. <a href="classarmnn_1_1_convolution3d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">More...</a><br /></td></tr>
137<tr class="separator:a46fc3fdd4b2a5dd6d184e57983cf20bc"><td class="memSeparator" colspan="2">&#160;</td></tr>
138<tr class="memitem:a2ca654770a1890f15e3c7aab98e434a5"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_convolution3d_layer.html#a2ca654770a1890f15e3c7aab98e434a5">SerializeLayerParameters</a> (<a class="el" href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a> &amp;fn) const override</td></tr>
139<tr class="memdesc:a2ca654770a1890f15e3c7aab98e434a5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Helper to serialize the layer parameters to string. <a href="classarmnn_1_1_convolution3d_layer.html#a2ca654770a1890f15e3c7aab98e434a5">More...</a><br /></td></tr>
140<tr class="separator:a2ca654770a1890f15e3c7aab98e434a5"><td class="memSeparator" colspan="2">&#160;</td></tr>
141<tr class="inherit_header pub_methods_classarmnn_1_1_layer_with_parameters"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_layer_with_parameters')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters&lt; Convolution3dDescriptor &gt;</a></td></tr>
142<tr class="memitem:afa3e8a8f23589b1eaddbe203825bbdcf inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="structarmnn_1_1_convolution3d_descriptor.html">Convolution3dDescriptor</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a> () const override</td></tr>
143<tr class="memdesc:afa3e8a8f23589b1eaddbe203825bbdcf inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="mdescLeft">&#160;</td><td class="mdescRight">If the layer has a descriptor return it. <a href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">More...</a><br /></td></tr>
144<tr class="separator:afa3e8a8f23589b1eaddbe203825bbdcf inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
145<tr class="memitem:a2ca654770a1890f15e3c7aab98e434a5 inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">SerializeLayerParameters</a> (<a class="el" href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a> &amp;fn) const override</td></tr>
146<tr class="memdesc:a2ca654770a1890f15e3c7aab98e434a5 inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="mdescLeft">&#160;</td><td class="mdescRight">Helper to serialize the layer parameters to string (currently used in DotSerializer and company). <a href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">More...</a><br /></td></tr>
147<tr class="separator:a2ca654770a1890f15e3c7aab98e434a5 inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
148<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.html">Layer</a></td></tr>
149<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.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>
150<tr class="separator:a5e5ae420d199a0bccae5139d38c30205 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
151<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.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>
152<tr class="separator:a395d070748c18d903705799360088e80 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
153<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.html#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a> () const</td></tr>
154<tr class="separator:a9a97cb6d32661a57fc33bd29b8e41ff4 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
155<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.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>
156<tr class="separator:af2c0edc7ea62a8baaec4d3d9b2b09256 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
157<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.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>
158<tr class="separator:a1d4e05c17647232c514cfe58ca80744a inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
159<tr class="memitem:a3560e0733f829e5194887d014a133144 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a3560e0733f829e5194887d014a133144">GetShapeInferenceMethod</a> () const</td></tr>
160<tr class="separator:a3560e0733f829e5194887d014a133144 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
161<tr class="memitem:ad6f282c92535e2be398a9b350d4e2ee9 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.html#ad6f282c92535e2be398a9b350d4e2ee9">GetAllowExpandedDims</a> () const</td></tr>
162<tr class="separator:ad6f282c92535e2be398a9b350d4e2ee9 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
163<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.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>
164<tr class="separator:af5f530544d09a44d726f24702b67b35b inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
165<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.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>
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167<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.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>
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169<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.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>
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171<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.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>
172<tr class="separator:a817d4be6dd88f532d36f51748ec14185 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
173<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.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>
174<tr class="separator:a55f76d98fcd2f5cdac3e2b14536cb7ab inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
175<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.html#a22485f444124128940e798a42f0b76d9">IsOutputUnconnected</a> ()</td></tr>
176<tr class="separator:a22485f444124128940e798a42f0b76d9 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
177<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.html#aac329cade047e952621b59a51a5d5f49">ResetPriority</a> () const</td></tr>
178<tr class="separator:aac329cade047e952621b59a51a5d5f49 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
179<tr class="memitem:af97a07195a67a638605b3c325763c2dd inherit pub_methods_classarmnn_1_1_layer"><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>
180<tr class="separator:af97a07195a67a638605b3c325763c2dd inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
181<tr class="memitem:ad8e15c530c929ab823d89ae9fd2d3f11 inherit pub_methods_classarmnn_1_1_layer"><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#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a> () const override</td></tr>
182<tr class="memdesc:ad8e15c530c929ab823d89ae9fd2d3f11 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4" title="When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.">armnn::LayerType</a> of this layer. <a href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">More...</a><br /></td></tr>
183<tr class="separator:ad8e15c530c929ab823d89ae9fd2d3f11 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
184<tr class="memitem:aea909c7327109228ef618d459015def3 inherit pub_methods_classarmnn_1_1_layer"><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>
185<tr class="separator:aea909c7327109228ef618d459015def3 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
186<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.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>
187<tr class="separator:afdb1d37740e7a083b625d669588b6a0e inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
188<tr class="memitem:a316670cb6b65902e017c32ca4bcb4b98 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.html#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a> (const <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> &amp;id) override</td></tr>
189<tr class="memdesc:a316670cb6b65902e017c32ca4bcb4b98 inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the backend of the <a class="el" href="classarmnn_1_1_i_connectable_layer.html" title="Interface for a layer that is connectable to other layers via InputSlots and OutputSlots.">IConnectableLayer</a>. <a href="classarmnn_1_1_layer.html#a316670cb6b65902e017c32ca4bcb4b98">More...</a><br /></td></tr>
190<tr class="separator:a316670cb6b65902e017c32ca4bcb4b98 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
191<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.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=true)</td></tr>
192<tr class="separator:a3ff62126ec713a2708e5fbaa6146a7de inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
193<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.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>
194<tr class="separator:a0607e36e88f38c34c71c663164b76776 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
195<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.html#a339bef86bc340c3d1393ed83950fe8af">ReleaseConstantData</a> ()</td></tr>
196<tr class="separator:a339bef86bc340c3d1393ed83950fe8af inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
197<tr class="memitem:a386acff5f8430245239ce58d00ba7576 inherit pub_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename Op &gt; </td></tr>
198<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.html#a386acff5f8430245239ce58d00ba7576">OperateOnConstantTensors</a> (Op op)</td></tr>
199<tr class="separator:a386acff5f8430245239ce58d00ba7576 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
200<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.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a> () const override</td></tr>
201<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.html#a7ddf0cf6f620d59c10e63495ace795d0">More...</a><br /></td></tr>
202<tr class="separator:a7ddf0cf6f620d59c10e63495ace795d0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
203<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.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a> () const override</td></tr>
204<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.html#abc0660dc440c8a285b456c9ef6383c26">More...</a><br /></td></tr>
205<tr class="separator:abc0660dc440c8a285b456c9ef6383c26 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
206<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.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a> () const override</td></tr>
207<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.html#a1594bddc87d6477df300317658f566bb">More...</a><br /></td></tr>
208<tr class="separator:a1594bddc87d6477df300317658f566bb inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
209<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.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>
210<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.html#acf8b8e23bf647836592982f97088d375">More...</a><br /></td></tr>
211<tr class="separator:acf8b8e23bf647836592982f97088d375 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
212<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.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>
213<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.html#a1b50eb1358cdf382f4bc3fc8849f8e8e">More...</a><br /></td></tr>
214<tr class="separator:a1b50eb1358cdf382f4bc3fc8849f8e8e inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
215<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.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>
216<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.html#a0e36688a43c35668d8db5257274c68fe">More...</a><br /></td></tr>
217<tr class="separator:a0e36688a43c35668d8db5257274c68fe inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
218<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.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>
219<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.html#abbd71844785bb2f00a81baca30ea5ff0">More...</a><br /></td></tr>
220<tr class="separator:abbd71844785bb2f00a81baca30ea5ff0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
221<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.html#a6d1024208b672a87ef2c1bfaf93d2b9f">SetGuid</a> (<a class="el" href="_types_8hpp.html#af22094b802160f09f7c89ad9eee10084">LayerGuid</a> guid)</td></tr>
222<tr class="separator:a6d1024208b672a87ef2c1bfaf93d2b9f inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
223<tr class="memitem:a8dc12f0ee5b232d397bd18ced1a72a64 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="_types_8hpp.html#af22094b802160f09f7c89ad9eee10084">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>
224<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.html#a8dc12f0ee5b232d397bd18ced1a72a64">More...</a><br /></td></tr>
225<tr class="separator:a8dc12f0ee5b232d397bd18ced1a72a64 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
226<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.html#a339248d89d5e21534ecf74b4393ed4d2">AddRelatedLayerName</a> (const std::string layerName)</td></tr>
227<tr class="separator:a339248d89d5e21534ecf74b4393ed4d2 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
228<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.html#a5e5520194ea4042fe07b0bf53c28f634">GetRelatedLayerNames</a> ()</td></tr>
229<tr class="separator:a5e5520194ea4042fe07b0bf53c28f634 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
230<tr class="memitem:ae68bb844446f28cf8580ecbe2f516ff6 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.html#ae68bb844446f28cf8580ecbe2f516ff6">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>
231<tr class="separator:ae68bb844446f28cf8580ecbe2f516ff6 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
232<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.html#a43a46eafee5c08787ab17b4342730c20">BackendSelectionHint</a> (<a class="el" href="classarmnn_1_1_optional.html">Optional</a>&lt; <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> &gt; backend) final</td></tr>
233<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.html#a43a46eafee5c08787ab17b4342730c20">More...</a><br /></td></tr>
234<tr class="separator:a43a46eafee5c08787ab17b4342730c20 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
235<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.html">Optional</a>&lt; <a class="el" href="classarmnn_1_1_backend_id.html">BackendId</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a6ff80e440308295056b57e2adaa42888">GetBackendHint</a> () const</td></tr>
236<tr class="separator:a6ff80e440308295056b57e2adaa42888 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
237<tr class="memitem:a429abdfa769f4d48268938dcaea00904 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.html#a429abdfa769f4d48268938dcaea00904">SetShapeInferenceMethod</a> (<a class="el" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> shapeInferenceMethod)</td></tr>
238<tr class="separator:a429abdfa769f4d48268938dcaea00904 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
239<tr class="memitem:a328c9cf1c3abf2febcce4801ba706541 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.html#a328c9cf1c3abf2febcce4801ba706541">SetAllowExpandedDims</a> (bool allowExpandedDims)</td></tr>
240<tr class="separator:a328c9cf1c3abf2febcce4801ba706541 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
241<tr class="memitem:aefb14147290b6b928c5fc924ba035acc inherit pub_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
242<tr class="memitem:aefb14147290b6b928c5fc924ba035acc inherit pub_methods_classarmnn_1_1_layer"><td class="memTemplItemLeft" align="right" valign="top">std::shared_ptr&lt; T &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#aefb14147290b6b928c5fc924ba035acc">GetAdditionalInformation</a> () const</td></tr>
243<tr class="separator:aefb14147290b6b928c5fc924ba035acc inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
244<tr class="memitem:aea1c8483ebeabc0dcbd9090b4f648f1d 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.html#aea1c8483ebeabc0dcbd9090b4f648f1d">SetAdditionalInfoForObject</a> (const <a class="el" href="namespacearmnn.html#a2a5caf3721af872f43c7642fec9449bc">AdditionalInfoObjectPtr</a> &amp;additionalInfo)</td></tr>
245<tr class="separator:aea1c8483ebeabc0dcbd9090b4f648f1d inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
246<tr class="memitem:a94a487f29157eeec10e2f9a372487bcc inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual const <a class="el" href="structarmnn_1_1_base_descriptor.html">BaseDescriptor</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a94a487f29157eeec10e2f9a372487bcc">GetParameters</a> () const override</td></tr>
247<tr class="memdesc:a94a487f29157eeec10e2f9a372487bcc inherit pub_methods_classarmnn_1_1_layer"><td class="mdescLeft">&#160;</td><td class="mdescRight">If the layer has a descriptor return it. <a href="classarmnn_1_1_layer.html#a94a487f29157eeec10e2f9a372487bcc">More...</a><br /></td></tr>
248<tr class="separator:a94a487f29157eeec10e2f9a372487bcc inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
249</table><table class="memberdecls">
250<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a>
251Protected Member Functions</h2></td></tr>
252<tr class="memitem:af71f5cd53ac4c66c73231b3da95f039a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_convolution3d_layer.html#af71f5cd53ac4c66c73231b3da95f039a">Convolution3dLayer</a> (const <a class="el" href="structarmnn_1_1_convolution3d_descriptor.html">Convolution3dDescriptor</a> &amp;param, const char *name)</td></tr>
253<tr class="memdesc:af71f5cd53ac4c66c73231b3da95f039a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor to create a <a class="el" href="classarmnn_1_1_convolution3d_layer.html" title="This layer represents a convolution 3d operation.">Convolution3dLayer</a>. <a href="classarmnn_1_1_convolution3d_layer.html#af71f5cd53ac4c66c73231b3da95f039a">More...</a><br /></td></tr>
254<tr class="separator:af71f5cd53ac4c66c73231b3da95f039a"><td class="memSeparator" colspan="2">&#160;</td></tr>
255<tr class="memitem:ab39b7fd6aa59e5a4c342e6f2e7003c22"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_convolution3d_layer.html#ab39b7fd6aa59e5a4c342e6f2e7003c22">~Convolution3dLayer</a> ()=default</td></tr>
256<tr class="memdesc:ab39b7fd6aa59e5a4c342e6f2e7003c22"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor. <a href="classarmnn_1_1_convolution3d_layer.html#ab39b7fd6aa59e5a4c342e6f2e7003c22">More...</a><br /></td></tr>
257<tr class="separator:ab39b7fd6aa59e5a4c342e6f2e7003c22"><td class="memSeparator" colspan="2">&#160;</td></tr>
258<tr class="inherit_header pro_methods_classarmnn_1_1_layer_with_parameters"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_layer_with_parameters')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters&lt; Convolution3dDescriptor &gt;</a></td></tr>
259<tr class="memitem:a1f5a1d629b1ef52a0d8e0214a0fb51a1 inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#a1f5a1d629b1ef52a0d8e0214a0fb51a1">LayerWithParameters</a> (unsigned int numInputSlots, unsigned int numOutputSlots, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, const <a class="el" href="structarmnn_1_1_convolution3d_descriptor.html">Convolution3dDescriptor</a> &amp;param, const char *name)</td></tr>
260<tr class="separator:a1f5a1d629b1ef52a0d8e0214a0fb51a1 inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
261<tr class="memitem:adc0f578e075f63379058f2d2641a509a inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#adc0f578e075f63379058f2d2641a509a">~LayerWithParameters</a> ()=default</td></tr>
262<tr class="separator:adc0f578e075f63379058f2d2641a509a inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
263<tr class="memitem:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> &amp;descriptor) const</td></tr>
264<tr class="memdesc:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="mdescLeft">&#160;</td><td class="mdescRight">Helper function to reduce duplication in *Layer::CreateWorkload. <a href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">More...</a><br /></td></tr>
265<tr class="separator:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
266<tr class="memitem:a46fc3fdd4b2a5dd6d184e57983cf20bc inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ExecuteStrategy</a> (<a class="el" href="classarmnn_1_1_i_strategy.html">IStrategy</a> &amp;strategy) const override</td></tr>
267<tr class="memdesc:a46fc3fdd4b2a5dd6d184e57983cf20bc inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="mdescLeft">&#160;</td><td class="mdescRight">Apply a visitor to this layer. <a href="classarmnn_1_1_layer_with_parameters.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">More...</a><br /></td></tr>
268<tr class="separator:a46fc3fdd4b2a5dd6d184e57983cf20bc inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
269<tr class="memitem:ad588423ab0d55c8ec4860a7f0a21f5a0 inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">Layer::ImmutableConstantTensors</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#ad588423ab0d55c8ec4860a7f0a21f5a0">GetConnectedConstantAsInputTensors</a> () const</td></tr>
270<tr class="separator:ad588423ab0d55c8ec4860a7f0a21f5a0 inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
271<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.html">Layer</a></td></tr>
272<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.html#aacfb208d750bdfce1bbd423e5cac76e2">~Layer</a> ()=default</td></tr>
273<tr class="separator:aacfb208d750bdfce1bbd423e5cac76e2 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
274<tr class="memitem:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
275<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.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;info) const</td></tr>
276<tr class="separator:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
277<tr class="memitem:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
278<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.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;info) const</td></tr>
279<tr class="separator:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
280<tr class="memitem:aeb2d638cc0e02c10075e015100996f2d inherit pro_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.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &amp;outputShape, const <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &amp;inferredShape, const <a class="el" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> shapeInferenceMethod, const std::string &amp;layerName, const unsigned int outputSlotIndex=0)</td></tr>
281<tr class="separator:aeb2d638cc0e02c10075e015100996f2d inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
282<tr class="memitem:a448afc716fda85394df1e8e5b7d530e8 inherit pro_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.html#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &amp;outputShape, <a class="el" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> shapeInferenceMethod)</td></tr>
283<tr class="separator:a448afc716fda85394df1e8e5b7d530e8 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
284<tr class="memitem:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
285<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.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>
286<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::CreateWorkload. <a href="classarmnn_1_1_layer.html#a30a858b2b26d651a066537e499fbf40d">More...</a><br /></td></tr>
287<tr class="separator:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
288<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>
289<tr class="memitem:aa10fd205c3f5469a9ecb2aa2a3ffd101 inherit pro_methods_classarmnn_1_1_layer"><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>
290<tr class="separator:aa10fd205c3f5469a9ecb2aa2a3ffd101 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
291<tr class="memitem:a9114de666bc2d910faa846b04fc26974 inherit pro_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_i_connectable_layer.html#af978f897fb7e115a901cb7ed95f8e532">ConstantTensors</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a9114de666bc2d910faa846b04fc26974">GetConstantTensorsByRef</a> () override final</td></tr>
292<tr class="separator:a9114de666bc2d910faa846b04fc26974 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
293<tr class="memitem:a45544992c89527fa4d51498a91401640 inherit pro_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">ImmutableConstantTensors</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a45544992c89527fa4d51498a91401640">GetConstantTensorsByRef</a> () const override</td></tr>
294<tr class="separator:a45544992c89527fa4d51498a91401640 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
295<tr class="memitem:af7f0460d32511de0da525f1817d13e8c inherit pro_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.html#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> &amp;descriptor) const</td></tr>
296<tr class="separator:af7f0460d32511de0da525f1817d13e8c inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
297<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>
298<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>
299<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>
300<tr class="separator:a8c7faf37c1d965431aaa02ae934d67ee inherit pro_methods_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
301</table><table class="memberdecls">
302<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
303Additional Inherited Members</h2></td></tr>
304<tr class="inherit_header pub_types_classarmnn_1_1_layer_with_parameters"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classarmnn_1_1_layer_with_parameters')"><img src="closed.png" alt="-"/>&#160;Public Types inherited from <a class="el" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters&lt; Convolution3dDescriptor &gt;</a></td></tr>
305<tr class="memitem:a6b1bd3d5380a0ce8ecb71ddb0261c3fa inherit pub_types_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#a6b1bd3d5380a0ce8ecb71ddb0261c3fa">DescriptorType</a> = <a class="el" href="structarmnn_1_1_convolution3d_descriptor.html">Convolution3dDescriptor</a></td></tr>
306<tr class="separator:a6b1bd3d5380a0ce8ecb71ddb0261c3fa inherit pub_types_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
307<tr class="inherit_header pub_types_classarmnn_1_1_i_connectable_layer"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classarmnn_1_1_i_connectable_layer')"><img src="closed.png" alt="-"/>&#160;Public Types inherited from <a class="el" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a></td></tr>
308<tr class="memitem:af978f897fb7e115a901cb7ed95f8e532 inherit pub_types_classarmnn_1_1_i_connectable_layer"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#af978f897fb7e115a901cb7ed95f8e532">ConstantTensors</a> = std::vector&lt; std::reference_wrapper&lt; std::shared_ptr&lt; <a class="el" href="classarmnn_1_1_const_tensor_handle.html">ConstTensorHandle</a> &gt; &gt;&gt;</td></tr>
309<tr class="separator:af978f897fb7e115a901cb7ed95f8e532 inherit pub_types_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
310<tr class="memitem:aba5c20cadbebd2e7ba67e20a47e31472 inherit pub_types_classarmnn_1_1_i_connectable_layer"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">ImmutableConstantTensors</a> = std::vector&lt; std::reference_wrapper&lt; const std::shared_ptr&lt; <a class="el" href="classarmnn_1_1_const_tensor_handle.html">ConstTensorHandle</a> &gt; &gt;&gt;</td></tr>
311<tr class="separator:aba5c20cadbebd2e7ba67e20a47e31472 inherit pub_types_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
312<tr class="inherit_header pro_attribs_classarmnn_1_1_layer_with_parameters"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_classarmnn_1_1_layer_with_parameters')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters&lt; Convolution3dDescriptor &gt;</a></td></tr>
313<tr class="memitem:ad32ac22bc72e28dfd6b466d143c8e262 inherit pro_attribs_classarmnn_1_1_layer_with_parameters"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_convolution3d_descriptor.html">Convolution3dDescriptor</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a></td></tr>
314<tr class="memdesc:ad32ac22bc72e28dfd6b466d143c8e262 inherit pro_attribs_classarmnn_1_1_layer_with_parameters"><td class="mdescLeft">&#160;</td><td class="mdescRight">The parameters for the layer (not including tensor-valued weights etc.). <a href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">More...</a><br /></td></tr>
315<tr class="separator:ad32ac22bc72e28dfd6b466d143c8e262 inherit pro_attribs_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
316<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.html">Layer</a></td></tr>
317<tr class="memitem:ac7170f79bd0eadb1b6153e359c023cc0 inherit pro_attribs_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#a2a5caf3721af872f43c7642fec9449bc">AdditionalInfoObjectPtr</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#ac7170f79bd0eadb1b6153e359c023cc0">m_AdditionalInfoObject</a></td></tr>
318<tr class="separator:ac7170f79bd0eadb1b6153e359c023cc0 inherit pro_attribs_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
319<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.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>
320<tr class="separator:aa44d91037bba52ba0dec6577509ade3b inherit pro_attribs_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
321<tr class="memitem:afe508761cc8318b15329ba4acf7fbfec inherit pro_attribs_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a></td></tr>
322<tr class="separator:afe508761cc8318b15329ba4acf7fbfec inherit pro_attribs_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
323</table>
324<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
325<div class="textblock"><p>This layer represents a convolution 3d operation. </p>
326
327<p class="definition">Definition at line <a class="el" href="_convolution3d_layer_8hpp_source.html#l00016">16</a> of file <a class="el" href="_convolution3d_layer_8hpp_source.html">Convolution3dLayer.hpp</a>.</p>
328</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
329<a id="af71f5cd53ac4c66c73231b3da95f039a"></a>
330<h2 class="memtitle"><span class="permalink"><a href="#af71f5cd53ac4c66c73231b3da95f039a">&#9670;&nbsp;</a></span>Convolution3dLayer()</h2>
331
332<div class="memitem">
333<div class="memproto">
334<table class="mlabels">
335 <tr>
336 <td class="mlabels-left">
337 <table class="memname">
338 <tr>
339 <td class="memname"><a class="el" href="classarmnn_1_1_convolution3d_layer.html">Convolution3dLayer</a> </td>
340 <td>(</td>
341 <td class="paramtype">const <a class="el" href="structarmnn_1_1_convolution3d_descriptor.html">Convolution3dDescriptor</a> &amp;&#160;</td>
342 <td class="paramname"><em>param</em>, </td>
343 </tr>
344 <tr>
345 <td class="paramkey"></td>
346 <td></td>
347 <td class="paramtype">const char *&#160;</td>
348 <td class="paramname"><em>name</em>&#160;</td>
349 </tr>
350 <tr>
351 <td></td>
352 <td>)</td>
353 <td></td><td></td>
354 </tr>
355 </table>
356 </td>
357 <td class="mlabels-right">
358<span class="mlabels"><span class="mlabel">protected</span></span> </td>
359 </tr>
360</table>
361</div><div class="memdoc">
362
363<p>Constructor to create a <a class="el" href="classarmnn_1_1_convolution3d_layer.html" title="This layer represents a convolution 3d operation.">Convolution3dLayer</a>. </p>
364<dl class="params"><dt>Parameters</dt><dd>
365 <table class="params">
366 <tr><td class="paramdir">[in]</td><td class="paramname">param</td><td><a class="el" href="structarmnn_1_1_convolution3d_descriptor.html" title="A Convolution3dDescriptor for the Convolution3dLayer.">Convolution3dDescriptor</a> to configure the convolution3d operation. </td></tr>
367 <tr><td class="paramdir">[in]</td><td class="paramname">name</td><td><a class="el" href="classarmnn_1_1_optional.html">Optional</a> name for the layer. </td></tr>
368 </table>
369 </dd>
370</dl>
371
372<p class="definition">Definition at line <a class="el" href="_convolution3d_layer_8cpp_source.html#l00018">18</a> of file <a class="el" href="_convolution3d_layer_8cpp_source.html">Convolution3dLayer.cpp</a>.</p>
373<div class="fragment"><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; : <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a1f5a1d629b1ef52a0d8e0214a0fb51a1">LayerWithParameters</a>(param.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a62938964ffd34d5af3f2d56ca1183b18">GetNumInputs</a>(), 1, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">LayerType::Convolution3d</a>, param, name)</div>
374<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;{</div>
375<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;}</div>
376</div><!-- fragment -->
377<p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::Convolution3d</a>.</p>
378
379</div>
380</div>
381<a id="ab39b7fd6aa59e5a4c342e6f2e7003c22"></a>
382<h2 class="memtitle"><span class="permalink"><a href="#ab39b7fd6aa59e5a4c342e6f2e7003c22">&#9670;&nbsp;</a></span>~Convolution3dLayer()</h2>
383
384<div class="memitem">
385<div class="memproto">
386<table class="mlabels">
387 <tr>
388 <td class="mlabels-left">
389 <table class="memname">
390 <tr>
391 <td class="memname">~<a class="el" href="classarmnn_1_1_convolution3d_layer.html">Convolution3dLayer</a> </td>
392 <td>(</td>
393 <td class="paramname"></td><td>)</td>
394 <td></td>
395 </tr>
396 </table>
397 </td>
398 <td class="mlabels-right">
399<span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">default</span></span> </td>
400 </tr>
401</table>
402</div><div class="memdoc">
403
404<p>Default destructor. </p>
405
406</div>
407</div>
408<h2 class="groupheader">Member Function Documentation</h2>
409<a id="aaa20b55aac06f7510f838b6fb5504426"></a>
410<h2 class="memtitle"><span class="permalink"><a href="#aaa20b55aac06f7510f838b6fb5504426">&#9670;&nbsp;</a></span>Clone()</h2>
411
412<div class="memitem">
413<div class="memproto">
414<table class="mlabels">
415 <tr>
416 <td class="mlabels-left">
417 <table class="memname">
418 <tr>
419 <td class="memname"><a class="el" href="classarmnn_1_1_convolution3d_layer.html">Convolution3dLayer</a> * Clone </td>
420 <td>(</td>
421 <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.html">Graph</a> &amp;&#160;</td>
422 <td class="paramname"><em>graph</em></td><td>)</td>
423 <td> const</td>
424 </tr>
425 </table>
426 </td>
427 <td class="mlabels-right">
428<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
429 </tr>
430</table>
431</div><div class="memdoc">
432
433<p>Creates a dynamically-allocated copy of this layer. </p>
434<dl class="params"><dt>Parameters</dt><dd>
435 <table class="params">
436 <tr><td class="paramdir">[in]</td><td class="paramname">graph</td><td>The graph into which this layer is being cloned. </td></tr>
437 </table>
438 </dd>
439</dl>
440
441<p>Implements <a class="el" href="classarmnn_1_1_layer.html#ae89ff455503aa106d00bf34103d2f2e0">Layer</a>.</p>
442
443<p class="definition">Definition at line <a class="el" href="_convolution3d_layer_8cpp_source.html#l00056">56</a> of file <a class="el" href="_convolution3d_layer_8cpp_source.html">Convolution3dLayer.cpp</a>.</p>
444<div class="fragment"><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;{</div>
445<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keyword">auto</span> layer = CloneBase&lt;Convolution3dLayer&gt;(graph, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
446<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keywordflow">return</span> std::move(layer);</div>
447<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;}</div>
448</div><!-- fragment -->
449<p class="reference">References <a class="el" href="_layer_8hpp_source.html#l00332">Layer::GetName()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters&lt; Convolution3dDescriptor &gt;::m_Param</a>.</p>
450
451</div>
452</div>
453<a id="adfa912d0c4c6c00f1af2cbfa799572b7"></a>
454<h2 class="memtitle"><span class="permalink"><a href="#adfa912d0c4c6c00f1af2cbfa799572b7">&#9670;&nbsp;</a></span>CreateWorkload()</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::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_workload.html">IWorkload</a> &gt; CreateWorkload </td>
464 <td>(</td>
465 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a> &amp;&#160;</td>
466 <td class="paramname"><em>factory</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>Makes a workload for the Convolution3d type. </p>
478<dl class="params"><dt>Parameters</dt><dd>
479 <table class="params">
480 <tr><td class="paramdir">[in]</td><td class="paramname">graph</td><td>The graph where this layer can be found. </td></tr>
481 <tr><td class="paramdir">[in]</td><td class="paramname">factory</td><td>The workload factory which will create the workload. </td></tr>
482 </table>
483 </dd>
484</dl>
485<dl class="section return"><dt>Returns</dt><dd>A pointer to the created workload, or nullptr if not created. </dd></dl>
486
487<p>Implements <a class="el" href="classarmnn_1_1_layer.html#a08d1e10a45f15cd0bd02557be35a3864">Layer</a>.</p>
488
489<p class="definition">Definition at line <a class="el" href="_convolution3d_layer_8cpp_source.html#l00048">48</a> of file <a class="el" href="_convolution3d_layer_8cpp_source.html">Convolution3dLayer.cpp</a>.</p>
490<div class="fragment"><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;{</div>
491<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <a class="code" href="structarmnn_1_1_convolution3d_queue_descriptor.html">Convolution3dQueueDescriptor</a> descriptor;</div>
492<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div>
493<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; </div>
494<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keywordflow">return</span> factory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">CreateWorkload</a>(<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">LayerType::Convolution3d</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div>
495<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;}</div>
496</div><!-- fragment -->
497<p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::Convolution3d</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters&lt; Convolution3dDescriptor &gt;::PrepInfoAndDesc()</a>, and <a class="el" href="_layer_8cpp_source.html#l00303">Layer::SetAdditionalInfo()</a>.</p>
498
499</div>
500</div>
501<a id="a46fc3fdd4b2a5dd6d184e57983cf20bc"></a>
502<h2 class="memtitle"><span class="permalink"><a href="#a46fc3fdd4b2a5dd6d184e57983cf20bc">&#9670;&nbsp;</a></span>ExecuteStrategy()</h2>
503
504<div class="memitem">
505<div class="memproto">
506<table class="mlabels">
507 <tr>
508 <td class="mlabels-left">
509 <table class="memname">
510 <tr>
511 <td class="memname">void ExecuteStrategy </td>
512 <td>(</td>
513 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_strategy.html">IStrategy</a> &amp;&#160;</td>
514 <td class="paramname"><em>strategy</em></td><td>)</td>
515 <td> const</td>
516 </tr>
517 </table>
518 </td>
519 <td class="mlabels-right">
520<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
521 </tr>
522</table>
523</div><div class="memdoc">
524
525<p>Apply a visitor to this layer. </p>
526
527<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer</a>.</p>
528
529<p class="definition">Definition at line <a class="el" href="_convolution3d_layer_8cpp_source.html#l00153">153</a> of file <a class="el" href="_convolution3d_layer_8cpp_source.html">Convolution3dLayer.cpp</a>.</p>
530<div class="fragment"><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;{</div>
531<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; strategy.<a class="code" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">ExecuteStrategy</a>(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), {}, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
532<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;}</div>
533</div><!-- fragment -->
534<p class="reference">References <a class="el" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">IStrategy::ExecuteStrategy()</a>, <a class="el" href="_layer_8hpp_source.html#l00332">Layer::GetName()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters&lt; Convolution3dDescriptor &gt;::GetParameters()</a>.</p>
535
536</div>
537</div>
538<a id="a65ca562c882ad619684445a1402f415a"></a>
539<h2 class="memtitle"><span class="permalink"><a href="#a65ca562c882ad619684445a1402f415a">&#9670;&nbsp;</a></span>InferOutputShapes()</h2>
540
541<div class="memitem">
542<div class="memproto">
543<table class="mlabels">
544 <tr>
545 <td class="mlabels-left">
546 <table class="memname">
547 <tr>
548 <td class="memname">std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &gt; InferOutputShapes </td>
549 <td>(</td>
550 <td class="paramtype">const std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &gt; &amp;&#160;</td>
551 <td class="paramname"><em>inputShapes</em></td><td>)</td>
552 <td> const</td>
553 </tr>
554 </table>
555 </td>
556 <td class="mlabels-right">
557<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
558 </tr>
559</table>
560</div><div class="memdoc">
561
562<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>
563<dl class="params"><dt>Parameters</dt><dd>
564 <table class="params">
565 <tr><td class="paramdir">[in]</td><td class="paramname">inputShapes</td><td>The input shapes layer has. </td></tr>
566 </table>
567 </dd>
568</dl>
569<dl class="section return"><dt>Returns</dt><dd>A vector to the inferred output shape. </dd></dl>
570
571<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">Layer</a>.</p>
572
573<p class="definition">Definition at line <a class="el" href="_convolution3d_layer_8cpp_source.html#l00062">62</a> of file <a class="el" href="_convolution3d_layer_8cpp_source.html">Convolution3dLayer.cpp</a>.</p>
574<div class="fragment"><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;{</div>
575<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keywordflow">if</span> (inputShapes.size() != 2)</div>
576<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; {</div>
577<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;inputShapes&#39; size is \&quot;&quot;</span> + std::to_string(inputShapes.size()) +</div>
578<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="stringliteral">&quot;\&quot; - should be \&quot;2\&quot;.&quot;</span>);</div>
579<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; }</div>
580<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; </div>
581<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; inputShape = inputShapes[0];</div>
582<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; filterShape = inputShapes[1];</div>
583<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; </div>
584<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordflow">if</span> (inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != 5)</div>
585<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; {</div>
586<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;Convolutions will always have 5D input.&quot;</span>);</div>
587<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; }</div>
588<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; </div>
589<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> == 0)</div>
590<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; {</div>
591<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;m_StrideX cannot be 0.&quot;</span>);</div>
592<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; }</div>
593<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; </div>
594<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> == 0)</div>
595<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; {</div>
596<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;m_StrideY cannot be 0.&quot;</span>);</div>
597<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; }</div>
598<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; </div>
599<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a> == 0)</div>
600<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; {</div>
601<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;m_StrideZ cannot be 0.&quot;</span>);</div>
602<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; }</div>
603<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; </div>
604<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> dataLayoutIndex(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
605<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; </div>
606<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inWidth = inputShape[dataLayoutIndex.GetWidthIndex()];</div>
607<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inHeight = inputShape[dataLayoutIndex.GetHeightIndex()];</div>
608<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inDepth = inputShape[dataLayoutIndex.GetDepthIndex()];</div>
609<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inBatchSize = inputShape[0];</div>
610<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; </div>
611<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="comment">// Conv3d Filter Layout: [D,H,W,I,O]</span></div>
612<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterDepth = filterShape[0];</div>
613<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dilatedFilterDepth = filterDepth + (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a16543bce17aa2e4d6e81c88f74227192">m_DilationZ</a> - 1) * (filterDepth - 1);</div>
614<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> readDepth = (inDepth + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a> + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a>) - dilatedFilterDepth;</div>
615<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outDepth = 1 + (readDepth / <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a>);</div>
616<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; </div>
617<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterHeight = filterShape[1];</div>
618<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dilatedFilterHeight = filterHeight + (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> - 1) * (filterHeight - 1);</div>
619<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> readHeight = (inHeight + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>) - dilatedFilterHeight;</div>
620<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outHeight = 1 + (readHeight / <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>);</div>
621<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; </div>
622<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterWidth = filterShape[2];</div>
623<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dilatedFilterWidth = filterWidth + (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> - 1) * (filterWidth - 1);</div>
624<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> readWidth = (inWidth + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>) - dilatedFilterWidth;</div>
625<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outWidth = 1 + (readWidth / <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>);</div>
626<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; </div>
627<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outChannels = filterShape[4];</div>
628<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outBatchSize = inBatchSize;</div>
629<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; </div>
630<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> tensorShape = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">armnn::DataLayout::NDHWC</a> ?</div>
631<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>( { outBatchSize, outDepth, outHeight, outWidth, outChannels } ) :</div>
632<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>( { outBatchSize, outChannels, outDepth, outHeight, outWidth });</div>
633<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; </div>
634<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordflow">return</span> std::vector&lt;TensorShape&gt;({ tensorShape });</div>
635<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;}</div>
636</div><!-- fragment -->
637<p class="reference">References <a class="el" href="_data_layout_indexed_8hpp_source.html#l00026">DataLayoutIndexed::GetDepthIndex()</a>, <a class="el" href="_data_layout_indexed_8hpp_source.html#l00024">DataLayoutIndexed::GetHeightIndex()</a>, <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>, <a class="el" href="_data_layout_indexed_8hpp_source.html#l00025">DataLayoutIndexed::GetWidthIndex()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00655">Convolution3dDescriptor::m_DataLayout</a>, <a class="el" href="_descriptors_8hpp_source.html#l00647">Convolution3dDescriptor::m_DilationX</a>, <a class="el" href="_descriptors_8hpp_source.html#l00649">Convolution3dDescriptor::m_DilationY</a>, <a class="el" href="_descriptors_8hpp_source.html#l00651">Convolution3dDescriptor::m_DilationZ</a>, <a class="el" href="_descriptors_8hpp_source.html#l00639">Convolution3dDescriptor::m_PadBack</a>, <a class="el" href="_descriptors_8hpp_source.html#l00635">Convolution3dDescriptor::m_PadBottom</a>, <a class="el" href="_descriptors_8hpp_source.html#l00637">Convolution3dDescriptor::m_PadFront</a>, <a class="el" href="_descriptors_8hpp_source.html#l00629">Convolution3dDescriptor::m_PadLeft</a>, <a class="el" href="_descriptors_8hpp_source.html#l00631">Convolution3dDescriptor::m_PadRight</a>, <a class="el" href="_descriptors_8hpp_source.html#l00633">Convolution3dDescriptor::m_PadTop</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters&lt; Convolution3dDescriptor &gt;::m_Param</a>, <a class="el" href="_descriptors_8hpp_source.html#l00641">Convolution3dDescriptor::m_StrideX</a>, <a class="el" href="_descriptors_8hpp_source.html#l00643">Convolution3dDescriptor::m_StrideY</a>, <a class="el" href="_descriptors_8hpp_source.html#l00645">Convolution3dDescriptor::m_StrideZ</a>, and <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">armnn::NDHWC</a>.</p>
638
639<p class="reference">Referenced by <a class="el" href="_convolution3d_layer_8cpp_source.html#l00126">Convolution3dLayer::ValidateTensorShapesFromInputs()</a>.</p>
640
641</div>
642</div>
643<a id="a2ca654770a1890f15e3c7aab98e434a5"></a>
644<h2 class="memtitle"><span class="permalink"><a href="#a2ca654770a1890f15e3c7aab98e434a5">&#9670;&nbsp;</a></span>SerializeLayerParameters()</h2>
645
646<div class="memitem">
647<div class="memproto">
648<table class="mlabels">
649 <tr>
650 <td class="mlabels-left">
651 <table class="memname">
652 <tr>
653 <td class="memname">void SerializeLayerParameters </td>
654 <td>(</td>
655 <td class="paramtype"><a class="el" href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a> &amp;&#160;</td>
656 <td class="paramname"><em>fn</em></td><td>)</td>
657 <td> const</td>
658 </tr>
659 </table>
660 </td>
661 <td class="mlabels-right">
662<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
663 </tr>
664</table>
665</div><div class="memdoc">
666
667<p>Helper to serialize the layer parameters to string. </p>
668<p>(currently used in DotSerializer and company). </p>
669
670<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#ac04cd8de9b9185756eb02463ffd432b1">Layer</a>.</p>
671
672<p class="definition">Definition at line <a class="el" href="_convolution3d_layer_8cpp_source.html#l00023">23</a> of file <a class="el" href="_convolution3d_layer_8cpp_source.html">Convolution3dLayer.cpp</a>.</p>
673<div class="fragment"><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;{</div>
674<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keyword">const</span> std::vector&lt;TensorShape&gt;&amp; inputShapes =</div>
675<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; {</div>
676<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div>
677<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div>
678<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; };</div>
679<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; </div>
680<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="comment">// Conv3d Filter Layout: [D,H,W,I,O]</span></div>
681<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> filterShape = inputShapes[1];</div>
682<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterDepth = filterShape[0];</div>
683<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterHeight = filterShape[1];</div>
684<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterWidth = filterShape[2];</div>
685<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inChannels = filterShape[3];</div>
686<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outChannels = filterShape[4];</div>
687<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; </div>
688<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; fn(<span class="stringliteral">&quot;FilterDepth&quot;</span>,std::to_string(filterDepth));</div>
689<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; fn(<span class="stringliteral">&quot;FilterHeight&quot;</span>,std::to_string(filterHeight));</div>
690<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; fn(<span class="stringliteral">&quot;FilterWidth&quot;</span>,std::to_string(filterWidth));</div>
691<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; fn(<span class="stringliteral">&quot;InputChannels&quot;</span>,std::to_string(inChannels));</div>
692<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; fn(<span class="stringliteral">&quot;OutputChannels&quot;</span>,std::to_string(outChannels));</div>
693<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; </div>
694<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters&lt;Convolution3dDescriptor&gt;::SerializeLayerParameters</a>(fn);</div>
695<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;}</div>
696</div><!-- fragment -->
697<p class="reference">References <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00614">InputSlot::GetTensorInfo()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.html#l00023">LayerWithParameters&lt; Parameters &gt;::SerializeLayerParameters()</a>.</p>
698
699</div>
700</div>
701<a id="a8c8f543d7e9729362c266d12ec169966"></a>
702<h2 class="memtitle"><span class="permalink"><a href="#a8c8f543d7e9729362c266d12ec169966">&#9670;&nbsp;</a></span>ValidateTensorShapesFromInputs()</h2>
703
704<div class="memitem">
705<div class="memproto">
706<table class="mlabels">
707 <tr>
708 <td class="mlabels-left">
709 <table class="memname">
710 <tr>
711 <td class="memname">void ValidateTensorShapesFromInputs </td>
712 <td>(</td>
713 <td class="paramname"></td><td>)</td>
714 <td></td>
715 </tr>
716 </table>
717 </td>
718 <td class="mlabels-right">
719<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
720 </tr>
721</table>
722</div><div class="memdoc">
723
724<p>Check if the input tensor shape(s) will lead to a valid configuration of <a class="el" href="classarmnn_1_1_convolution3d_layer.html">Convolution3dLayer</a>. </p>
725<dl class="params"><dt>Parameters</dt><dd>
726 <table class="params">
727 <tr><td class="paramdir">[in]</td><td class="paramname">shapeInferenceMethod</td><td>Indicates if output shape shall be overwritten or just validated. </td></tr>
728 </table>
729 </dd>
730</dl>
731
732<p>Implements <a class="el" href="classarmnn_1_1_layer.html#a84ff600212ba26e665de9b978ec896a4">Layer</a>.</p>
733
734<p class="definition">Definition at line <a class="el" href="_convolution3d_layer_8cpp_source.html#l00126">126</a> of file <a class="el" href="_convolution3d_layer_8cpp_source.html">Convolution3dLayer.cpp</a>.</p>
735<div class="fragment"><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;{</div>
736<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a62938964ffd34d5af3f2d56ca1183b18">GetNumInputs</a>(), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
737<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; </div>
738<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; outputShape = <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#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
739<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; </div>
740<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</div>
741<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; </div>
742<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).GetConnection())</div>
743<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; {</div>
744<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;Convolution3dLayer: Weights should be connected to input slot 1.&quot;</span>);</div>
745<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; }</div>
746<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; </div>
747<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_convolution3d_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>({</div>
748<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div>
749<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() });</div>
750<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; </div>
751<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keywordflow">if</span> (inferredShapes.size() != 1)</div>
752<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; {</div>
753<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;inferredShapes has &quot;</span></div>
754<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; + std::to_string(inferredShapes.size()) +</div>
755<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="stringliteral">&quot; elements - should only have 1.&quot;</span>);</div>
756<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; }</div>
757<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; </div>
758<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">&quot;Convolution3dLayer&quot;</span>);</div>
759<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;}</div>
760</div><!-- fragment -->
761<p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00465">Convolution3dDescriptor::GetNumInputs()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00614">InputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00100">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_convolution3d_layer_8cpp_source.html#l00062">Convolution3dLayer::InferOutputShapes()</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters&lt; Convolution3dDescriptor &gt;::m_Param</a>, <a class="el" href="_layer_8hpp_source.html#l00441">Layer::m_ShapeInferenceMethod</a>, <a class="el" href="_layer_8cpp_source.html#l00457">Layer::ValidateAndCopyShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00410">Layer::VerifyLayerConnections()</a>, and <a class="el" href="_layer_8cpp_source.html#l00526">Layer::VerifyShapeInferenceType()</a>.</p>
762
763</div>
764</div>
765<hr/>The documentation for this class was generated from the following files:<ul>
766<li>src/armnn/layers/<a class="el" href="_convolution3d_layer_8hpp_source.html">Convolution3dLayer.hpp</a></li>
767<li>src/armnn/layers/<a class="el" href="_convolution3d_layer_8cpp_source.html">Convolution3dLayer.cpp</a></li>
768</ul>
769</div><!-- contents -->
770</div><!-- doc-content -->
771<div class="ttc" id="aclassarmnn_1_1_convolution3d_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_convolution3d_layer.html#a65ca562c882ad619684445a1402f415a">armnn::Convolution3dLayer::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,...</div><div class="ttdef"><b>Definition:</b> <a href="_convolution3d_layer_8cpp_source.html#l00062">Convolution3dLayer.cpp:62</a></div></div>
772<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a62938964ffd34d5af3f2d56ca1183b18"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a62938964ffd34d5af3f2d56ca1183b18">armnn::Convolution3dDescriptor::GetNumInputs</a></div><div class="ttdeci">uint32_t GetNumInputs() const</div><div class="ttdoc">Get the number of views/inputs.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00465">Descriptors.cpp:465</a></div></div>
773<div class="ttc" id="aclassarmnn_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#l00100">Layer.cpp:100</a></div></div>
774<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_a2ca654770a1890f15e3c7aab98e434a5"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">armnn::LayerWithParameters::SerializeLayerParameters</a></div><div class="ttdeci">void SerializeLayerParameters(ParameterStringifyFunction &amp;fn) const override</div><div class="ttdoc">Helper to serialize the layer parameters to string (currently used in DotSerializer and company).</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00023">LayerWithParameters.hpp:23</a></div></div>
775<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a83ca447892f460dabaa2f87d3dc3db61"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a83ca447892f460dabaa2f87d3dc3db61">armnn::Convolution3dDescriptor::m_PadFront</a></div><div class="ttdeci">uint32_t m_PadFront</div><div class="ttdoc">Padding front value in the depth dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00637">Descriptors.hpp:637</a></div></div>
776<div class="ttc" id="a_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#l00203">Exceptions.hpp:203</a></div></div>
777<div class="ttc" id="aclassarmnn_utils_1_1_data_layout_indexed_html"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html">armnnUtils::DataLayoutIndexed</a></div><div class="ttdoc">Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout.</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00017">DataLayoutIndexed.hpp:17</a></div></div>
778<div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &amp;outputShape, const TensorShape &amp;inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &amp;layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00457">Layer.cpp:457</a></div></div>
779<div class="ttc" id="aclassarmnn_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="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00339">Layer.hpp:339</a></div></div>
780<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">armnn::Convolution3dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00633">Descriptors.hpp:633</a></div></div>
781<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::Convolution3dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation along x axis.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00647">Descriptors.hpp:647</a></div></div>
782<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">armnn::Convolution3dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00635">Descriptors.hpp:635</a></div></div>
783<div class="ttc" id="aclassarmnn_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="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00337">Layer.hpp:337</a></div></div>
784<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_afa3e8a8f23589b1eaddbe203825bbdcf"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">armnn::LayerWithParameters&lt; Convolution3dDescriptor &gt;::GetParameters</a></div><div class="ttdeci">const Convolution3dDescriptor &amp; GetParameters() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters.hpp:19</a></div></div>
785<div class="ttc" id="aclassarmnn_1_1_layer_html_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00332">Layer.hpp:332</a></div></div>
786<div class="ttc" id="astructarmnn_1_1_convolution3d_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution3d_queue_descriptor.html">armnn::Convolution3dQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00216">WorkloadData.hpp:216</a></div></div>
787<div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">armnn::DataLayout::NDHWC</a></div><div class="ttdeci">@ NDHWC</div></div>
788<div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00614">Layer.cpp:614</a></div></div>
789<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
790<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">armnn::Convolution3dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00631">Descriptors.hpp:631</a></div></div>
791<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_ad32ac22bc72e28dfd6b466d143c8e262"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">armnn::LayerWithParameters&lt; Convolution3dDescriptor &gt;::m_Param</a></div><div class="ttdeci">Convolution3dDescriptor m_Param</div><div class="ttdoc">The parameters for the layer (not including tensor-valued weights etc.).</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters.hpp:52</a></div></div>
792<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00174">Tensor.cpp:174</a></div></div>
793<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">armnn::LayerWithParameters&lt; Convolution3dDescriptor &gt;::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &amp;descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *Layer::CreateWorkload.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters.hpp:44</a></div></div>
794<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a16543bce17aa2e4d6e81c88f74227192"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a16543bce17aa2e4d6e81c88f74227192">armnn::Convolution3dDescriptor::m_DilationZ</a></div><div class="ttdeci">uint32_t m_DilationZ</div><div class="ttdoc">Dilation along z axis.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00651">Descriptors.hpp:651</a></div></div>
795<div class="ttc" id="aclassarmnn_1_1_layer_validation_exception_html"><div class="ttname"><a href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00105">Exceptions.hpp:105</a></div></div>
796<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Convolution3dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00629">Descriptors.hpp:629</a></div></div>
797<div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &amp;outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00526">Layer.cpp:526</a></div></div>
798<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Convolution3dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00643">Descriptors.hpp:643</a></div></div>
799<div class="ttc" id="aclassarmnn_1_1_layer_html_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &amp;descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00303">Layer.cpp:303</a></div></div>
800<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#afe6a3377c4531315354def9023c8fdda">armnn::Convolution3dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00641">Descriptors.hpp:641</a></div></div>
801<div class="ttc" id="aclassarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those.</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00046">Exceptions.hpp:46</a></div></div>
802<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00193">Tensor.hpp:193</a></div></div>
803<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a11d5c25face9b54e90f79ee8bdc1d0fb"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a11d5c25face9b54e90f79ee8bdc1d0fb">armnn::Convolution3dDescriptor::m_PadBack</a></div><div class="ttdeci">uint32_t m_PadBack</div><div class="ttdoc">Padding back value in the depth dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00639">Descriptors.hpp:639</a></div></div>
804<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">armnn::Convolution3dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation along y axis.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00649">Descriptors.hpp:649</a></div></div>
805<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a5164336f6a1b15be0d434a6bbf7289da"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a5164336f6a1b15be0d434a6bbf7289da">armnn::Convolution3dDescriptor::m_StrideZ</a></div><div class="ttdeci">uint32_t m_StrideZ</div><div class="ttdoc">Stride value when proceeding through input for the depth dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00645">Descriptors.hpp:645</a></div></div>
806<div class="ttc" id="aclassarmnn_1_1_layer_html_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00410">Layer.cpp:410</a></div></div>
807<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::Convolution3dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NDHWC, NCDHW).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00655">Descriptors.hpp:655</a></div></div>
808<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_a1f5a1d629b1ef52a0d8e0214a0fb51a1"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a1f5a1d629b1ef52a0d8e0214a0fb51a1">armnn::LayerWithParameters&lt; Convolution3dDescriptor &gt;::LayerWithParameters</a></div><div class="ttdeci">LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const Convolution3dDescriptor &amp;param, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00030">LayerWithParameters.hpp:30</a></div></div>
809<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::LayerType::Convolution3d</a></div><div class="ttdeci">@ Convolution3d</div></div>
810<div class="ttc" id="aclassarmnn_1_1_layer_html_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">armnn::Layer::m_ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_ShapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00441">Layer.hpp:441</a></div></div>
811<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html_a694a8411c8c799da95306034d274930b"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">armnn::IWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateWorkload(LayerType type, const QueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const =0</div><div class="ttdoc">Backends should implement their own CreateWorkload function with a switch statement.</div></div>
812<div class="ttc" id="aclassarmnn_1_1_i_strategy_html_ad4f8c9ff973cf6a603d26b56c5b34967"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">armnn::IStrategy::ExecuteStrategy</a></div><div class="ttdeci">virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &amp;descriptor, const std::vector&lt; armnn::ConstTensor &gt; &amp;constants, const char *name, const armnn::LayerBindingId id=0)=0</div></div>
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