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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="#pub-attribs">Public Attributes</a> &#124;
98<a href="#pro-methods">Protected Member Functions</a> &#124;
99<a href="classarmnn_1_1_transpose_convolution2d_layer-members.html">List of all members</a> </div>
100 <div class="headertitle">
101<div class="title">TransposeConvolution2dLayer Class Reference</div> </div>
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103<div class="contents">
104
105<p>This layer represents a 2D transpose convolution operation.
106 <a href="classarmnn_1_1_transpose_convolution2d_layer.html#details">More...</a></p>
107
108<p><code>#include &lt;<a class="el" href="_transpose_convolution2d_layer_8hpp_source.html">TransposeConvolution2dLayer.hpp</a>&gt;</code></p>
109<div class="dynheader">
110Inheritance diagram for TransposeConvolution2dLayer:</div>
111<div class="dyncontent">
112<div class="center"><iframe scrolling="no" frameborder="0" src="classarmnn_1_1_transpose_convolution2d_layer__inherit__graph.svg" width="390" height="399"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
113</div>
114<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
115<div class="dynheader">
116Collaboration diagram for TransposeConvolution2dLayer:</div>
117<div class="dyncontent">
118<div class="center"><iframe scrolling="no" frameborder="0" src="classarmnn_1_1_transpose_convolution2d_layer__coll__graph.svg" width="516" height="399"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
119</div>
120<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
121<table class="memberdecls">
122<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
123Public Member Functions</h2></td></tr>
124<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_transpose_convolution2d_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>
125<tr class="memdesc:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Makes a workload for the TransposeConvolution2d type. <a href="classarmnn_1_1_transpose_convolution2d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">More...</a><br /></td></tr>
126<tr class="separator:adfa912d0c4c6c00f1af2cbfa799572b7"><td class="memSeparator" colspan="2">&#160;</td></tr>
127<tr class="memitem:a0ad3ca858bd49041c1a5ce793312dcf8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html">TransposeConvolution2dLayer</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html#a0ad3ca858bd49041c1a5ce793312dcf8">Clone</a> (<a class="el" href="classarmnn_1_1_graph.html">Graph</a> &amp;graph) const override</td></tr>
128<tr class="memdesc:a0ad3ca858bd49041c1a5ce793312dcf8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Creates a dynamically-allocated copy of this layer. <a href="classarmnn_1_1_transpose_convolution2d_layer.html#a0ad3ca858bd49041c1a5ce793312dcf8">More...</a><br /></td></tr>
129<tr class="separator:a0ad3ca858bd49041c1a5ce793312dcf8"><td class="memSeparator" colspan="2">&#160;</td></tr>
130<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_transpose_convolution2d_layer.html#a8c8f543d7e9729362c266d12ec169966">ValidateTensorShapesFromInputs</a> () override</td></tr>
131<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_transpose_convolution2d_layer.html">TransposeConvolution2dLayer</a>. <a href="classarmnn_1_1_transpose_convolution2d_layer.html#a8c8f543d7e9729362c266d12ec169966">More...</a><br /></td></tr>
132<tr class="separator:a8c8f543d7e9729362c266d12ec169966"><td class="memSeparator" colspan="2">&#160;</td></tr>
133<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_transpose_convolution2d_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>
134<tr class="memdesc:a65ca562c882ad619684445a1402f415a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Infers the output shapes from given input shapes and layer properties. <a href="classarmnn_1_1_transpose_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">More...</a><br /></td></tr>
135<tr class="separator:a65ca562c882ad619684445a1402f415a"><td class="memSeparator" colspan="2">&#160;</td></tr>
136<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_transpose_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ExecuteStrategy</a> (<a class="el" href="classarmnn_1_1_i_strategy.html">IStrategy</a> &amp;strategy) const override</td></tr>
137<tr class="memdesc:a46fc3fdd4b2a5dd6d184e57983cf20bc"><td class="mdescLeft">&#160;</td><td class="mdescRight">Apply a visitor to this layer. <a href="classarmnn_1_1_transpose_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">More...</a><br /></td></tr>
138<tr class="separator:a46fc3fdd4b2a5dd6d184e57983cf20bc"><td class="memSeparator" colspan="2">&#160;</td></tr>
139<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; TransposeConvolution2dDescriptor &gt;</a></td></tr>
140<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_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</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>
141<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>
142<tr class="separator:afa3e8a8f23589b1eaddbe203825bbdcf inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
143<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>
144<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>
145<tr class="separator:a2ca654770a1890f15e3c7aab98e434a5 inherit pub_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
146<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>
147<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>
148<tr class="separator:a5e5ae420d199a0bccae5139d38c30205 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
149<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>
150<tr class="separator:a395d070748c18d903705799360088e80 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
151<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>
152<tr class="separator:a9a97cb6d32661a57fc33bd29b8e41ff4 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
153<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>
154<tr class="separator:af2c0edc7ea62a8baaec4d3d9b2b09256 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
155<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>
156<tr class="separator:a1d4e05c17647232c514cfe58ca80744a inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
157<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>
158<tr class="separator:a3560e0733f829e5194887d014a133144 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
159<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>
160<tr class="separator:ad6f282c92535e2be398a9b350d4e2ee9 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
161<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>
162<tr class="separator:af5f530544d09a44d726f24702b67b35b inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
163<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>
164<tr class="separator:a98cdff4e0b45f4c80bfcedaf926e16e0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
165<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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171<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>
172<tr class="separator:a55f76d98fcd2f5cdac3e2b14536cb7ab inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
173<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>
174<tr class="separator:a22485f444124128940e798a42f0b76d9 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
175<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>
176<tr class="separator:aac329cade047e952621b59a51a5d5f49 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
177<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>
178<tr class="separator:af97a07195a67a638605b3c325763c2dd inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
179<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>
180<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>
181<tr class="separator:ad8e15c530c929ab823d89ae9fd2d3f11 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
182<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>
183<tr class="separator:aea909c7327109228ef618d459015def3 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
184<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>
185<tr class="separator:afdb1d37740e7a083b625d669588b6a0e inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
186<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>
187<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>
188<tr class="separator:a316670cb6b65902e017c32ca4bcb4b98 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
189<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>
190<tr class="separator:a3ff62126ec713a2708e5fbaa6146a7de inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
191<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>
192<tr class="separator:a0607e36e88f38c34c71c663164b76776 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
193<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>
194<tr class="separator:a339bef86bc340c3d1393ed83950fe8af inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
195<tr class="memitem:a386acff5f8430245239ce58d00ba7576 inherit pub_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename Op &gt; </td></tr>
196<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>
197<tr class="separator:a386acff5f8430245239ce58d00ba7576 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
198<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>
199<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>
200<tr class="separator:a7ddf0cf6f620d59c10e63495ace795d0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
201<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>
202<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>
203<tr class="separator:abc0660dc440c8a285b456c9ef6383c26 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
204<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>
205<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>
206<tr class="separator:a1594bddc87d6477df300317658f566bb inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
207<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>
208<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>
209<tr class="separator:acf8b8e23bf647836592982f97088d375 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
210<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>
211<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>
212<tr class="separator:a1b50eb1358cdf382f4bc3fc8849f8e8e inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
213<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>
214<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>
215<tr class="separator:a0e36688a43c35668d8db5257274c68fe inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
216<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>
217<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>
218<tr class="separator:abbd71844785bb2f00a81baca30ea5ff0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
219<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>
220<tr class="separator:a6d1024208b672a87ef2c1bfaf93d2b9f inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
221<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>
222<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>
223<tr class="separator:a8dc12f0ee5b232d397bd18ced1a72a64 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
224<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>
225<tr class="separator:a339248d89d5e21534ecf74b4393ed4d2 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
226<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>
227<tr class="separator:a5e5520194ea4042fe07b0bf53c28f634 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
228<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>
229<tr class="separator:ae68bb844446f28cf8580ecbe2f516ff6 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
230<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>
231<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>
232<tr class="separator:a43a46eafee5c08787ab17b4342730c20 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
233<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>
234<tr class="separator:a6ff80e440308295056b57e2adaa42888 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
235<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>
236<tr class="separator:a429abdfa769f4d48268938dcaea00904 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
237<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>
238<tr class="separator:a328c9cf1c3abf2febcce4801ba706541 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
239<tr class="memitem:aefb14147290b6b928c5fc924ba035acc inherit pub_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
240<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>
241<tr class="separator:aefb14147290b6b928c5fc924ba035acc inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
242<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>
243<tr class="separator:aea1c8483ebeabc0dcbd9090b4f648f1d inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
244<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>
245<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>
246<tr class="separator:a94a487f29157eeec10e2f9a372487bcc inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
247</table><table class="memberdecls">
248<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-attribs"></a>
249Public Attributes</h2></td></tr>
250<tr class="memitem:a6266a703017d7296f87cc4923df2d725"><td class="memItemLeft" align="right" valign="top">std::shared_ptr&lt; <a class="el" href="classarmnn_1_1_const_tensor_handle.html">ConstTensorHandle</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a></td></tr>
251<tr class="memdesc:a6266a703017d7296f87cc4923df2d725"><td class="mdescLeft">&#160;</td><td class="mdescRight">A unique pointer to store weight values. <a href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">More...</a><br /></td></tr>
252<tr class="separator:a6266a703017d7296f87cc4923df2d725"><td class="memSeparator" colspan="2">&#160;</td></tr>
253<tr class="memitem:aab303f5700f75ebd4216e39ad2f74a24"><td class="memItemLeft" align="right" valign="top">std::shared_ptr&lt; <a class="el" href="classarmnn_1_1_const_tensor_handle.html">ConstTensorHandle</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html#aab303f5700f75ebd4216e39ad2f74a24">m_Bias</a></td></tr>
254<tr class="memdesc:aab303f5700f75ebd4216e39ad2f74a24"><td class="mdescLeft">&#160;</td><td class="mdescRight">A unique pointer to store bias values. <a href="classarmnn_1_1_transpose_convolution2d_layer.html#aab303f5700f75ebd4216e39ad2f74a24">More...</a><br /></td></tr>
255<tr class="separator:aab303f5700f75ebd4216e39ad2f74a24"><td class="memSeparator" colspan="2">&#160;</td></tr>
256</table><table class="memberdecls">
257<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a>
258Protected Member Functions</h2></td></tr>
259<tr class="memitem:ac6bdcc5d0f4c98f0abd099af48cc8e8b"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html#ac6bdcc5d0f4c98f0abd099af48cc8e8b">TransposeConvolution2dLayer</a> (const <a class="el" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</a> &amp;param, const char *name)</td></tr>
260<tr class="memdesc:ac6bdcc5d0f4c98f0abd099af48cc8e8b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor to create a <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html" title="This layer represents a 2D transpose convolution operation.">TransposeConvolution2dLayer</a>. <a href="classarmnn_1_1_transpose_convolution2d_layer.html#ac6bdcc5d0f4c98f0abd099af48cc8e8b">More...</a><br /></td></tr>
261<tr class="separator:ac6bdcc5d0f4c98f0abd099af48cc8e8b"><td class="memSeparator" colspan="2">&#160;</td></tr>
262<tr class="memitem:aebdb95c71a426c4c1b60334c6655ab65"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html#aebdb95c71a426c4c1b60334c6655ab65">~TransposeConvolution2dLayer</a> ()=default</td></tr>
263<tr class="memdesc:aebdb95c71a426c4c1b60334c6655ab65"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor. <a href="classarmnn_1_1_transpose_convolution2d_layer.html#aebdb95c71a426c4c1b60334c6655ab65">More...</a><br /></td></tr>
264<tr class="separator:aebdb95c71a426c4c1b60334c6655ab65"><td class="memSeparator" colspan="2">&#160;</td></tr>
265<tr class="memitem:a29cc31172f6ab16ac931f90c667c092d"><td class="memItemLeft" align="right" valign="top"><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_transpose_convolution2d_layer.html#a29cc31172f6ab16ac931f90c667c092d">GetConstantTensorsByRef</a> () const override</td></tr>
266<tr class="memdesc:a29cc31172f6ab16ac931f90c667c092d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the handles to the constant values stored by the layer. <a href="classarmnn_1_1_transpose_convolution2d_layer.html#a29cc31172f6ab16ac931f90c667c092d">More...</a><br /></td></tr>
267<tr class="separator:a29cc31172f6ab16ac931f90c667c092d"><td class="memSeparator" colspan="2">&#160;</td></tr>
268<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; TransposeConvolution2dDescriptor &gt;</a></td></tr>
269<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_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</a> &amp;param, const char *name)</td></tr>
270<tr class="separator:a1f5a1d629b1ef52a0d8e0214a0fb51a1 inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
271<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>
272<tr class="separator:adc0f578e075f63379058f2d2641a509a inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
273<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>
274<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>
275<tr class="separator:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
276<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>
277<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>
278<tr class="separator:a46fc3fdd4b2a5dd6d184e57983cf20bc inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
279<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>
280<tr class="separator:ad588423ab0d55c8ec4860a7f0a21f5a0 inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
281<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>
282<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>
283<tr class="separator:aacfb208d750bdfce1bbd423e5cac76e2 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
284<tr class="memitem:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
285<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>
286<tr class="separator:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
287<tr class="memitem:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
288<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>
289<tr class="separator:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
290<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>
291<tr class="separator:aeb2d638cc0e02c10075e015100996f2d inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
292<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>
293<tr class="separator:a448afc716fda85394df1e8e5b7d530e8 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
294<tr class="memitem:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
295<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>
296<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>
297<tr class="separator:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
298<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>
299<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>
300<tr class="separator:aa10fd205c3f5469a9ecb2aa2a3ffd101 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
301<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>
302<tr class="separator:a9114de666bc2d910faa846b04fc26974 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
303<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>
304<tr class="separator:af7f0460d32511de0da525f1817d13e8c inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
305<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>
306<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>
307<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>
308<tr class="separator:a8c7faf37c1d965431aaa02ae934d67ee inherit pro_methods_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
309</table><table class="memberdecls">
310<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
311Additional Inherited Members</h2></td></tr>
312<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; TransposeConvolution2dDescriptor &gt;</a></td></tr>
313<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_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</a></td></tr>
314<tr class="separator:a6b1bd3d5380a0ce8ecb71ddb0261c3fa inherit pub_types_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
315<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>
316<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>
317<tr class="separator:af978f897fb7e115a901cb7ed95f8e532 inherit pub_types_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
318<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>
319<tr class="separator:aba5c20cadbebd2e7ba67e20a47e31472 inherit pub_types_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
320<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; TransposeConvolution2dDescriptor &gt;</a></td></tr>
321<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_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</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>
322<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>
323<tr class="separator:ad32ac22bc72e28dfd6b466d143c8e262 inherit pro_attribs_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
324<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>
325<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>
326<tr class="separator:ac7170f79bd0eadb1b6153e359c023cc0 inherit pro_attribs_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
327<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>
328<tr class="separator:aa44d91037bba52ba0dec6577509ade3b inherit pro_attribs_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
329<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>
330<tr class="separator:afe508761cc8318b15329ba4acf7fbfec inherit pro_attribs_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
331</table>
332<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
333<div class="textblock"><p>This layer represents a 2D transpose convolution operation. </p>
334
335<p class="definition">Definition at line <a class="el" href="_transpose_convolution2d_layer_8hpp_source.html#l00015">15</a> of file <a class="el" href="_transpose_convolution2d_layer_8hpp_source.html">TransposeConvolution2dLayer.hpp</a>.</p>
336</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
337<a id="ac6bdcc5d0f4c98f0abd099af48cc8e8b"></a>
338<h2 class="memtitle"><span class="permalink"><a href="#ac6bdcc5d0f4c98f0abd099af48cc8e8b">&#9670;&nbsp;</a></span>TransposeConvolution2dLayer()</h2>
339
340<div class="memitem">
341<div class="memproto">
342<table class="mlabels">
343 <tr>
344 <td class="mlabels-left">
345 <table class="memname">
346 <tr>
347 <td class="memname"><a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html">TransposeConvolution2dLayer</a> </td>
348 <td>(</td>
349 <td class="paramtype">const <a class="el" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</a> &amp;&#160;</td>
350 <td class="paramname"><em>param</em>, </td>
351 </tr>
352 <tr>
353 <td class="paramkey"></td>
354 <td></td>
355 <td class="paramtype">const char *&#160;</td>
356 <td class="paramname"><em>name</em>&#160;</td>
357 </tr>
358 <tr>
359 <td></td>
360 <td>)</td>
361 <td></td><td></td>
362 </tr>
363 </table>
364 </td>
365 <td class="mlabels-right">
366<span class="mlabels"><span class="mlabel">protected</span></span> </td>
367 </tr>
368</table>
369</div><div class="memdoc">
370
371<p>Constructor to create a <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html" title="This layer represents a 2D transpose convolution operation.">TransposeConvolution2dLayer</a>. </p>
372<dl class="params"><dt>Parameters</dt><dd>
373 <table class="params">
374 <tr><td class="paramdir">[in]</td><td class="paramname">param</td><td><a class="el" href="structarmnn_1_1_transpose_convolution2d_descriptor.html" title="A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.">TransposeConvolution2dDescriptor</a> to configure the 2D transpose convolution operation. </td></tr>
375 <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>
376 </table>
377 </dd>
378</dl>
379
380<p class="definition">Definition at line <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00019">19</a> of file <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html">TransposeConvolution2dLayer.cpp</a>.</p>
381<div class="fragment"><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; : <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a1f5a1d629b1ef52a0d8e0214a0fb51a1">LayerWithParameters</a>(1, 1, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">LayerType::TransposeConvolution2d</a>, param, name)</div>
382<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;{</div>
383<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;}</div>
384</div><!-- fragment -->
385<p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::TransposeConvolution2d</a>.</p>
386
387</div>
388</div>
389<a id="aebdb95c71a426c4c1b60334c6655ab65"></a>
390<h2 class="memtitle"><span class="permalink"><a href="#aebdb95c71a426c4c1b60334c6655ab65">&#9670;&nbsp;</a></span>~TransposeConvolution2dLayer()</h2>
391
392<div class="memitem">
393<div class="memproto">
394<table class="mlabels">
395 <tr>
396 <td class="mlabels-left">
397 <table class="memname">
398 <tr>
399 <td class="memname">~<a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html">TransposeConvolution2dLayer</a> </td>
400 <td>(</td>
401 <td class="paramname"></td><td>)</td>
402 <td></td>
403 </tr>
404 </table>
405 </td>
406 <td class="mlabels-right">
407<span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">default</span></span> </td>
408 </tr>
409</table>
410</div><div class="memdoc">
411
412<p>Default destructor. </p>
413
414</div>
415</div>
416<h2 class="groupheader">Member Function Documentation</h2>
417<a id="a0ad3ca858bd49041c1a5ce793312dcf8"></a>
418<h2 class="memtitle"><span class="permalink"><a href="#a0ad3ca858bd49041c1a5ce793312dcf8">&#9670;&nbsp;</a></span>Clone()</h2>
419
420<div class="memitem">
421<div class="memproto">
422<table class="mlabels">
423 <tr>
424 <td class="mlabels-left">
425 <table class="memname">
426 <tr>
427 <td class="memname"><a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html">TransposeConvolution2dLayer</a> * Clone </td>
428 <td>(</td>
429 <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.html">Graph</a> &amp;&#160;</td>
430 <td class="paramname"><em>graph</em></td><td>)</td>
431 <td> const</td>
432 </tr>
433 </table>
434 </td>
435 <td class="mlabels-right">
436<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
437 </tr>
438</table>
439</div><div class="memdoc">
440
441<p>Creates a dynamically-allocated copy of this layer. </p>
442<dl class="params"><dt>Parameters</dt><dd>
443 <table class="params">
444 <tr><td class="paramdir">[in]</td><td class="paramname">graph</td><td>The graph into which this layer is being cloned. </td></tr>
445 </table>
446 </dd>
447</dl>
448
449<p>Implements <a class="el" href="classarmnn_1_1_layer.html#ae89ff455503aa106d00bf34103d2f2e0">Layer</a>.</p>
450
451<p class="definition">Definition at line <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00049">49</a> of file <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html">TransposeConvolution2dLayer.cpp</a>.</p>
452<div class="fragment"><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;{</div>
453<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="keyword">auto</span> layer = CloneBase&lt;TransposeConvolution2dLayer&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>
454<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; </div>
455<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; layer-&gt;m_Weight = <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a> ? <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a> : <span class="keyword">nullptr</span>;</div>
456<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; </div>
457<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keywordflow">if</span> (layer-&gt;m_Param.m_BiasEnabled)</div>
458<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; {</div>
459<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; layer-&gt;m_Bias = <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#aab303f5700f75ebd4216e39ad2f74a24">m_Bias</a> ? <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#aab303f5700f75ebd4216e39ad2f74a24">m_Bias</a> : <span class="keyword">nullptr</span>;</div>
460<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; }</div>
461<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; </div>
462<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keywordflow">return</span> std::move(layer);</div>
463<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;}</div>
464</div><!-- fragment -->
465<p class="reference">References <a class="el" href="_layer_8hpp_source.html#l00332">Layer::GetName()</a>, <a class="el" href="_transpose_convolution2d_layer_8hpp_source.html#l00021">TransposeConvolution2dLayer::m_Bias</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters&lt; TransposeConvolution2dDescriptor &gt;::m_Param</a>, and <a class="el" href="_transpose_convolution2d_layer_8hpp_source.html#l00019">TransposeConvolution2dLayer::m_Weight</a>.</p>
466
467</div>
468</div>
469<a id="adfa912d0c4c6c00f1af2cbfa799572b7"></a>
470<h2 class="memtitle"><span class="permalink"><a href="#adfa912d0c4c6c00f1af2cbfa799572b7">&#9670;&nbsp;</a></span>CreateWorkload()</h2>
471
472<div class="memitem">
473<div class="memproto">
474<table class="mlabels">
475 <tr>
476 <td class="mlabels-left">
477 <table class="memname">
478 <tr>
479 <td class="memname">std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_workload.html">IWorkload</a> &gt; CreateWorkload </td>
480 <td>(</td>
481 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a> &amp;&#160;</td>
482 <td class="paramname"><em>factory</em></td><td>)</td>
483 <td> const</td>
484 </tr>
485 </table>
486 </td>
487 <td class="mlabels-right">
488<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
489 </tr>
490</table>
491</div><div class="memdoc">
492
493<p>Makes a workload for the TransposeConvolution2d type. </p>
494<dl class="params"><dt>Parameters</dt><dd>
495 <table class="params">
496 <tr><td class="paramdir">[in]</td><td class="paramname">graph</td><td>The graph where this layer can be found. </td></tr>
497 <tr><td class="paramdir">[in]</td><td class="paramname">factory</td><td>The workload factory which will create the workload. </td></tr>
498 </table>
499 </dd>
500</dl>
501<dl class="section return"><dt>Returns</dt><dd>A pointer to the created workload, or nullptr if not created. </dd></dl>
502
503<p>Implements <a class="el" href="classarmnn_1_1_layer.html#a08d1e10a45f15cd0bd02557be35a3864">Layer</a>.</p>
504
505<p class="definition">Definition at line <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00025">25</a> of file <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html">TransposeConvolution2dLayer.cpp</a>.</p>
506<div class="fragment"><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;{</div>
507<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a>)</div>
508<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; {</div>
509<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a>(<span class="stringliteral">&quot;TransposeConvolution2dLayer: Weights data should not be null.&quot;</span>);</div>
510<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; }</div>
511<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; </div>
512<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html">TransposeConvolution2dQueueDescriptor</a> descriptor;</div>
513<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a9a8a6e0c6074b895eb2ff9a16e5003a5">m_Weight</a> = <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a>.get();</div>
514<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; </div>
515<div class="line"><a name="l00035"></a><span class="lineno"> 35</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_transpose_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div>
516<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; {</div>
517<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#aab303f5700f75ebd4216e39ad2f74a24">m_Bias</a>)</div>
518<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; {</div>
519<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a>(<span class="stringliteral">&quot;TransposeConvolution2dLayer: Bias data should not be null.&quot;</span>);</div>
520<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; }</div>
521<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a1f3f6acdd5436ccf488d5ee3e9e60c02">m_Bias</a> = <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#aab303f5700f75ebd4216e39ad2f74a24">m_Bias</a>.get();</div>
522<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; }</div>
523<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; </div>
524<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div>
525<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; </div>
526<div class="line"><a name="l00046"></a><span class="lineno"> 46</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#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">LayerType::TransposeConvolution2d</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div>
527<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;}</div>
528</div><!-- fragment -->
529<p class="reference">References <a class="el" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="_transpose_convolution2d_layer_8hpp_source.html#l00021">TransposeConvolution2dLayer::m_Bias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00552">TransposeConvolution2dQueueDescriptor::m_Bias</a>, <a class="el" href="_descriptors_8hpp_source.html#l01481">TransposeConvolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters&lt; TransposeConvolution2dDescriptor &gt;::m_Param</a>, <a class="el" href="_transpose_convolution2d_layer_8hpp_source.html#l00019">TransposeConvolution2dLayer::m_Weight</a>, <a class="el" href="_workload_data_8hpp_source.html#l00551">TransposeConvolution2dQueueDescriptor::m_Weight</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters&lt; TransposeConvolution2dDescriptor &gt;::PrepInfoAndDesc()</a>, <a class="el" href="_layer_8cpp_source.html#l00303">Layer::SetAdditionalInfo()</a>, and <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::TransposeConvolution2d</a>.</p>
530
531</div>
532</div>
533<a id="a46fc3fdd4b2a5dd6d184e57983cf20bc"></a>
534<h2 class="memtitle"><span class="permalink"><a href="#a46fc3fdd4b2a5dd6d184e57983cf20bc">&#9670;&nbsp;</a></span>ExecuteStrategy()</h2>
535
536<div class="memitem">
537<div class="memproto">
538<table class="mlabels">
539 <tr>
540 <td class="mlabels-left">
541 <table class="memname">
542 <tr>
543 <td class="memname">void ExecuteStrategy </td>
544 <td>(</td>
545 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_strategy.html">IStrategy</a> &amp;&#160;</td>
546 <td class="paramname"><em>strategy</em></td><td>)</td>
547 <td> const</td>
548 </tr>
549 </table>
550 </td>
551 <td class="mlabels-right">
552<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
553 </tr>
554</table>
555</div><div class="memdoc">
556
557<p>Apply a visitor to this layer. </p>
558
559<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer</a>.</p>
560
561<p class="definition">Definition at line <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00161">161</a> of file <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html">TransposeConvolution2dLayer.cpp</a>.</p>
562<div class="fragment"><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;{</div>
563<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedWeight(<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a>);</div>
564<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; std::vector&lt;armnn::ConstTensor&gt; constTensors { { managedWeight.GetTensorInfo(), managedWeight.Map() } };</div>
565<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; </div>
566<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedBias(<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#aab303f5700f75ebd4216e39ad2f74a24">m_Bias</a>);</div>
567<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>().m_BiasEnabled)</div>
568<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; {</div>
569<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedBias.GetTensorInfo(), managedBias.Map()));</div>
570<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; }</div>
571<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; </div>
572<div class="line"><a name="l00172"></a><span class="lineno"> 172</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>(), constTensors, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
573<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160;}</div>
574</div><!-- fragment -->
575<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>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters&lt; TransposeConvolution2dDescriptor &gt;::GetParameters()</a>, <a class="el" href="_tensor_handle_8hpp_source.html#l00239">ManagedConstTensorHandle::GetTensorInfo()</a>, <a class="el" href="_transpose_convolution2d_layer_8hpp_source.html#l00021">TransposeConvolution2dLayer::m_Bias</a>, <a class="el" href="_transpose_convolution2d_layer_8hpp_source.html#l00019">TransposeConvolution2dLayer::m_Weight</a>, and <a class="el" href="_tensor_handle_8hpp_source.html#l00196">ManagedConstTensorHandle::Map()</a>.</p>
576
577</div>
578</div>
579<a id="a29cc31172f6ab16ac931f90c667c092d"></a>
580<h2 class="memtitle"><span class="permalink"><a href="#a29cc31172f6ab16ac931f90c667c092d">&#9670;&nbsp;</a></span>GetConstantTensorsByRef()</h2>
581
582<div class="memitem">
583<div class="memproto">
584<table class="mlabels">
585 <tr>
586 <td class="mlabels-left">
587 <table class="memname">
588 <tr>
589 <td class="memname"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">Layer::ImmutableConstantTensors</a> GetConstantTensorsByRef </td>
590 <td>(</td>
591 <td class="paramname"></td><td>)</td>
592 <td> const</td>
593 </tr>
594 </table>
595 </td>
596 <td class="mlabels-right">
597<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span> </td>
598 </tr>
599</table>
600</div><div class="memdoc">
601
602<p>Retrieve the handles to the constant values stored by the layer. </p>
603<dl class="section return"><dt>Returns</dt><dd>A vector of the constant tensors stored by this layer. </dd></dl>
604
605<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a45544992c89527fa4d51498a91401640">Layer</a>.</p>
606
607<p class="definition">Definition at line <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00155">155</a> of file <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html">TransposeConvolution2dLayer.cpp</a>.</p>
608<div class="fragment"><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;{</div>
609<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="comment">// For API stability DO NOT ALTER order and add new members to the end of vector</span></div>
610<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keywordflow">return</span> {<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a>, <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#aab303f5700f75ebd4216e39ad2f74a24">m_Bias</a>};</div>
611<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;}</div>
612</div><!-- fragment -->
613<p class="reference">References <a class="el" href="_transpose_convolution2d_layer_8hpp_source.html#l00021">TransposeConvolution2dLayer::m_Bias</a>, and <a class="el" href="_transpose_convolution2d_layer_8hpp_source.html#l00019">TransposeConvolution2dLayer::m_Weight</a>.</p>
614
615</div>
616</div>
617<a id="a65ca562c882ad619684445a1402f415a"></a>
618<h2 class="memtitle"><span class="permalink"><a href="#a65ca562c882ad619684445a1402f415a">&#9670;&nbsp;</a></span>InferOutputShapes()</h2>
619
620<div class="memitem">
621<div class="memproto">
622<table class="mlabels">
623 <tr>
624 <td class="mlabels-left">
625 <table class="memname">
626 <tr>
627 <td class="memname">std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &gt; InferOutputShapes </td>
628 <td>(</td>
629 <td class="paramtype">const std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &gt; &amp;&#160;</td>
630 <td class="paramname"><em>inputShapes</em></td><td>)</td>
631 <td> const</td>
632 </tr>
633 </table>
634 </td>
635 <td class="mlabels-right">
636<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
637 </tr>
638</table>
639</div><div class="memdoc">
640
641<p>Infers the output shapes from given input shapes and layer properties. </p>
642<dl class="params"><dt>Parameters</dt><dd>
643 <table class="params">
644 <tr><td class="paramdir">[in]</td><td class="paramname">inputShapes</td><td>The input shapes the layer has. </td></tr>
645 </table>
646 </dd>
647</dl>
648<dl class="section return"><dt>Returns</dt><dd>A vector of the inferred output shape. </dd></dl>
649
650<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">Layer</a>.</p>
651
652<p class="definition">Definition at line <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00063">63</a> of file <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html">TransposeConvolution2dLayer.cpp</a>.</p>
653<div class="fragment"><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;{</div>
654<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">if</span> (inputShapes.size() != 2)</div>
655<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; {</div>
656<div class="line"><a name="l00068"></a><span class="lineno"> 68</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>
657<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="stringliteral">&quot;\&quot; - should be \&quot;2\&quot;.&quot;</span>);</div>
658<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; }</div>
659<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; </div>
660<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; inputShape = inputShapes[0];</div>
661<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; kernelShape = inputShapes[1];</div>
662<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; </div>
663<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordflow">if</span> (inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != 4)</div>
664<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; {</div>
665<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;Transpose convolutions will always have 4D input&quot;</span>);</div>
666<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; }</div>
667<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; </div>
668<div class="line"><a name="l00080"></a><span class="lineno"> 80</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_transpose_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
669<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; </div>
670<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batches = inputShape[0];</div>
671<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; </div>
672<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> wInput = inputShape[dataLayoutIndex.GetWidthIndex()];</div>
673<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> hInput = inputShape[dataLayoutIndex.GetHeightIndex()];</div>
674<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; </div>
675<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> wKernel = kernelShape[dataLayoutIndex.GetWidthIndex()];</div>
676<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> hKernel = kernelShape[dataLayoutIndex.GetHeightIndex()];</div>
677<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; </div>
678<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> wPadding = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_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_transpose_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;</div>
679<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> hPadding = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_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_transpose_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;</div>
680<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; </div>
681<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> wOutput = (wInput - 1) * <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> + wKernel - wPadding;</div>
682<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> hOutput = (hInput - 1) * <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> + hKernel - hPadding;</div>
683<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> cOutput = kernelShape[0];</div>
684<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; </div>
685<div class="line"><a name="l00097"></a><span class="lineno"> 97</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_transpose_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a> ?</div>
686<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>( { batches, hOutput, wOutput, cOutput } ) :</div>
687<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>( { batches, cOutput, hOutput, wOutput });</div>
688<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; </div>
689<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordflow">return</span> std::vector&lt;TensorShape&gt;({ tensorShape });</div>
690<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;}</div>
691</div><!-- fragment -->
692<p class="reference">References <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#l01483">TransposeConvolution2dDescriptor::m_DataLayout</a>, <a class="el" href="_descriptors_8hpp_source.html#l01475">TransposeConvolution2dDescriptor::m_PadBottom</a>, <a class="el" href="_descriptors_8hpp_source.html#l01469">TransposeConvolution2dDescriptor::m_PadLeft</a>, <a class="el" href="_descriptors_8hpp_source.html#l01471">TransposeConvolution2dDescriptor::m_PadRight</a>, <a class="el" href="_descriptors_8hpp_source.html#l01473">TransposeConvolution2dDescriptor::m_PadTop</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters&lt; TransposeConvolution2dDescriptor &gt;::m_Param</a>, <a class="el" href="_descriptors_8hpp_source.html#l01477">TransposeConvolution2dDescriptor::m_StrideX</a>, <a class="el" href="_descriptors_8hpp_source.html#l01479">TransposeConvolution2dDescriptor::m_StrideY</a>, and <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p>
693
694<p class="reference">Referenced by <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00104">TransposeConvolution2dLayer::ValidateTensorShapesFromInputs()</a>.</p>
695
696</div>
697</div>
698<a id="a8c8f543d7e9729362c266d12ec169966"></a>
699<h2 class="memtitle"><span class="permalink"><a href="#a8c8f543d7e9729362c266d12ec169966">&#9670;&nbsp;</a></span>ValidateTensorShapesFromInputs()</h2>
700
701<div class="memitem">
702<div class="memproto">
703<table class="mlabels">
704 <tr>
705 <td class="mlabels-left">
706 <table class="memname">
707 <tr>
708 <td class="memname">void ValidateTensorShapesFromInputs </td>
709 <td>(</td>
710 <td class="paramname"></td><td>)</td>
711 <td></td>
712 </tr>
713 </table>
714 </td>
715 <td class="mlabels-right">
716<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
717 </tr>
718</table>
719</div><div class="memdoc">
720
721<p>Check if the input tensor shape(s) will lead to a valid configuration of <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.html">TransposeConvolution2dLayer</a>. </p>
722<dl class="params"><dt>Parameters</dt><dd>
723 <table class="params">
724 <tr><td class="paramdir">[in]</td><td class="paramname">shapeInferenceMethod</td><td>Indicates if output shape shall be overwritten or just validated. </td></tr>
725 </table>
726 </dd>
727</dl>
728
729<p>Implements <a class="el" href="classarmnn_1_1_layer.html#a84ff600212ba26e665de9b978ec896a4">Layer</a>.</p>
730
731<p class="definition">Definition at line <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00104">104</a> of file <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html">TransposeConvolution2dLayer.cpp</a>.</p>
732<div class="fragment"><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;{</div>
733<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(1, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
734<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; </div>
735<div class="line"><a name="l00108"></a><span class="lineno"> 108</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>
736<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; </div>
737<div class="line"><a name="l00110"></a><span class="lineno"> 110</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>
738<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; </div>
739<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a>)</div>
740<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; {</div>
741<div class="line"><a name="l00114"></a><span class="lineno"> 114</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;TransposeConvolution2dLayer: Weight data cannot be null.&quot;</span>);</div>
742<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; }</div>
743<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; </div>
744<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; std::vector&lt;TensorShape&gt; expectedOutputShape;</div>
745<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; std::vector&lt;TensorShape&gt; outputShapeGivenAsInput;</div>
746<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; </div>
747<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; expectedOutputShape = <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>({<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>
748<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a>-&gt;GetTensorInfo().GetShape() });</div>
749<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; </div>
750<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordflow">if</span> (expectedOutputShape.size() != 1)</div>
751<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; {</div>
752<div class="line"><a name="l00125"></a><span class="lineno"> 125</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;expectedOutputShape&#39; size is &quot;</span></div>
753<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; + std::to_string(expectedOutputShape.size()) +</div>
754<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="stringliteral">&quot; - should be \&quot;1\&quot;.&quot;</span>);</div>
755<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; }</div>
756<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; </div>
757<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="comment">// If output_shape was specified then use it rather than calculate an inferred output shape.</span></div>
758<div class="line"><a name="l00131"></a><span class="lineno"> 131</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_transpose_convolution2d_descriptor.html#a9bc46a2ad56319786bad30be9ab2dc6a">m_OutputShapeEnabled</a>)</div>
759<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; {</div>
760<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> shapeAsTensorShape(<span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a78f5b213a603b55d0fabea389e89f203">m_OutputShape</a>.size()),</div>
761<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a78f5b213a603b55d0fabea389e89f203">m_OutputShape</a>.data());</div>
762<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; outputShapeGivenAsInput.push_back(shapeAsTensorShape);</div>
763<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; </div>
764<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="keywordflow">if</span> (outputShapeGivenAsInput.size() != 1)</div>
765<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; {</div>
766<div class="line"><a name="l00139"></a><span class="lineno"> 139</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;outputShapeGivenAsInput&#39; size is &quot;</span></div>
767<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; + std::to_string(outputShapeGivenAsInput.size()) +</div>
768<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="stringliteral">&quot; - should be \&quot;1\&quot;.&quot;</span>);</div>
769<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; }</div>
770<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; </div>
771<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keywordflow">if</span> (expectedOutputShape != outputShapeGivenAsInput)</div>
772<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; {</div>
773<div class="line"><a name="l00146"></a><span class="lineno"> 146</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;TransposeConvolution2dLayer: &quot;</span></div>
774<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="stringliteral">&quot;output calculated by InferOutputShapes and the output given &quot;</span></div>
775<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="stringliteral">&quot;as an input parameter to the layer are not matching&quot;</span>);</div>
776<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; }</div>
777<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; }</div>
778<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; </div>
779<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, expectedOutputShape[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">&quot;TransposeConvolution2dLayer&quot;</span>);</div>
780<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;}</div>
781</div><!-- fragment -->
782<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="_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="_transpose_convolution2d_layer_8cpp_source.html#l00063">TransposeConvolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_descriptors_8hpp_source.html#l01486">TransposeConvolution2dDescriptor::m_OutputShape</a>, <a class="el" href="_descriptors_8hpp_source.html#l01485">TransposeConvolution2dDescriptor::m_OutputShapeEnabled</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters&lt; TransposeConvolution2dDescriptor &gt;::m_Param</a>, <a class="el" href="_layer_8hpp_source.html#l00441">Layer::m_ShapeInferenceMethod</a>, <a class="el" href="_transpose_convolution2d_layer_8hpp_source.html#l00019">TransposeConvolution2dLayer::m_Weight</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>
783
784</div>
785</div>
786<h2 class="groupheader">Member Data Documentation</h2>
787<a id="aab303f5700f75ebd4216e39ad2f74a24"></a>
788<h2 class="memtitle"><span class="permalink"><a href="#aab303f5700f75ebd4216e39ad2f74a24">&#9670;&nbsp;</a></span>m_Bias</h2>
789
790<div class="memitem">
791<div class="memproto">
792 <table class="memname">
793 <tr>
794 <td class="memname">std::shared_ptr&lt;<a class="el" href="classarmnn_1_1_const_tensor_handle.html">ConstTensorHandle</a>&gt; m_Bias</td>
795 </tr>
796 </table>
797</div><div class="memdoc">
798
799<p>A unique pointer to store bias values. </p>
800
801<p class="definition">Definition at line <a class="el" href="_transpose_convolution2d_layer_8hpp_source.html#l00021">21</a> of file <a class="el" href="_transpose_convolution2d_layer_8hpp_source.html">TransposeConvolution2dLayer.hpp</a>.</p>
802
803<p class="reference">Referenced by <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00049">TransposeConvolution2dLayer::Clone()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00025">TransposeConvolution2dLayer::CreateWorkload()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00161">TransposeConvolution2dLayer::ExecuteStrategy()</a>, and <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00155">TransposeConvolution2dLayer::GetConstantTensorsByRef()</a>.</p>
804
805</div>
806</div>
807<a id="a6266a703017d7296f87cc4923df2d725"></a>
808<h2 class="memtitle"><span class="permalink"><a href="#a6266a703017d7296f87cc4923df2d725">&#9670;&nbsp;</a></span>m_Weight</h2>
809
810<div class="memitem">
811<div class="memproto">
812 <table class="memname">
813 <tr>
814 <td class="memname">std::shared_ptr&lt;<a class="el" href="classarmnn_1_1_const_tensor_handle.html">ConstTensorHandle</a>&gt; m_Weight</td>
815 </tr>
816 </table>
817</div><div class="memdoc">
818
819<p>A unique pointer to store weight values. </p>
820
821<p class="definition">Definition at line <a class="el" href="_transpose_convolution2d_layer_8hpp_source.html#l00019">19</a> of file <a class="el" href="_transpose_convolution2d_layer_8hpp_source.html">TransposeConvolution2dLayer.hpp</a>.</p>
822
823<p class="reference">Referenced by <a class="el" href="_network_8cpp_source.html#l02679">NetworkImpl::AddTransposeConvolution2dLayer()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00049">TransposeConvolution2dLayer::Clone()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00025">TransposeConvolution2dLayer::CreateWorkload()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00161">TransposeConvolution2dLayer::ExecuteStrategy()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00155">TransposeConvolution2dLayer::GetConstantTensorsByRef()</a>, and <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00104">TransposeConvolution2dLayer::ValidateTensorShapesFromInputs()</a>.</p>
824
825</div>
826</div>
827<hr/>The documentation for this class was generated from the following files:<ul>
828<li>src/armnn/layers/<a class="el" href="_transpose_convolution2d_layer_8hpp_source.html">TransposeConvolution2dLayer.hpp</a></li>
829<li>src/armnn/layers/<a class="el" href="_transpose_convolution2d_layer_8cpp_source.html">TransposeConvolution2dLayer.cpp</a></li>
830</ul>
831</div><!-- contents -->
832</div><!-- doc-content -->
833<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::TransposeConvolution2dDescriptor::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#l01469">Descriptors.hpp:1469</a></div></div>
834<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">armnn::TransposeConvolution2dDescriptor::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#l01477">Descriptors.hpp:1477</a></div></div>
835<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>
836<div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div><div class="ttdeci">@ NHWC</div></div>
837<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_queue_descriptor_html_a9a8a6e0c6074b895eb2ff9a16e5003a5"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a9a8a6e0c6074b895eb2ff9a16e5003a5">armnn::TransposeConvolution2dQueueDescriptor::m_Weight</a></div><div class="ttdeci">const ConstTensorHandle * m_Weight</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00551">WorkloadData.hpp:551</a></div></div>
838<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>
839<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>
840<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>
841<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>
842<div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.html">armnn::ManagedConstTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00187">TensorHandle.hpp:187</a></div></div>
843<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>
844<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; TransposeConvolution2dDescriptor &gt;::GetParameters</a></div><div class="ttdeci">const TransposeConvolution2dDescriptor &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>
845<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">armnn::TransposeConvolution2dDescriptor::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#l01475">Descriptors.hpp:1475</a></div></div>
846<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>
847<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>
848<div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_html_aab303f5700f75ebd4216e39ad2f74a24"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html#aab303f5700f75ebd4216e39ad2f74a24">armnn::TransposeConvolution2dLayer::m_Bias</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_Bias</div><div class="ttdoc">A unique pointer to store bias values.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8hpp_source.html#l00021">TransposeConvolution2dLayer.hpp:21</a></div></div>
849<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>
850<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; TransposeConvolution2dDescriptor &gt;::m_Param</a></div><div class="ttdeci">TransposeConvolution2dDescriptor 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>
851<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>
852<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; TransposeConvolution2dDescriptor &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>
853<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::LayerType::TransposeConvolution2d</a></div><div class="ttdeci">@ TransposeConvolution2d</div></div>
854<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>
855<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>
856<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>
857<div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">armnn::TransposeConvolution2dLayer::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">Infers the output shapes from given input shapes and layer properties.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8cpp_source.html#l00063">TransposeConvolution2dLayer.cpp:63</a></div></div>
858<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>
859<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">armnn::TransposeConvolution2dDescriptor::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#l01479">Descriptors.hpp:1479</a></div></div>
860<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_queue_descriptor_html_a1f3f6acdd5436ccf488d5ee3e9e60c02"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a1f3f6acdd5436ccf488d5ee3e9e60c02">armnn::TransposeConvolution2dQueueDescriptor::m_Bias</a></div><div class="ttdeci">const ConstTensorHandle * m_Bias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00552">WorkloadData.hpp:552</a></div></div>
861<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html">armnn::TransposeConvolution2dQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00544">WorkloadData.hpp:544</a></div></div>
862<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_a78f5b213a603b55d0fabea389e89f203"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a78f5b213a603b55d0fabea389e89f203">armnn::TransposeConvolution2dDescriptor::m_OutputShape</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_OutputShape</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01486">Descriptors.hpp:1486</a></div></div>
863<div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_html_a6266a703017d7296f87cc4923df2d725"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">armnn::TransposeConvolution2dLayer::m_Weight</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_Weight</div><div class="ttdoc">A unique pointer to store weight values.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8hpp_source.html#l00019">TransposeConvolution2dLayer.hpp:19</a></div></div>
864<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>
865<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">armnn::TransposeConvolution2dDescriptor::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#l01473">Descriptors.hpp:1473</a></div></div>
866<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">armnn::TransposeConvolution2dDescriptor::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#l01471">Descriptors.hpp:1471</a></div></div>
867<div class="ttc" id="aclassarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00329">Tensor.hpp:329</a></div></div>
868<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>
869<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_a9bc46a2ad56319786bad30be9ab2dc6a"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a9bc46a2ad56319786bad30be9ab2dc6a">armnn::TransposeConvolution2dDescriptor::m_OutputShapeEnabled</a></div><div class="ttdeci">bool m_OutputShapeEnabled</div><div class="ttdoc">Output shape if it has been specified.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01485">Descriptors.hpp:1485</a></div></div>
870<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::TransposeConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01481">Descriptors.hpp:1481</a></div></div>
871<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::TransposeConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01483">Descriptors.hpp:1483</a></div></div>
872<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; TransposeConvolution2dDescriptor &gt;::LayerWithParameters</a></div><div class="ttdeci">LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const TransposeConvolution2dDescriptor &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>
873<div class="ttc" id="aclassarmnn_1_1_null_pointer_exception_html"><div class="ttname"><a href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00146">Exceptions.hpp:146</a></div></div>
874<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>
875<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>
876<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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