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39 &#160;<span id="projectnumber">24.05</span>
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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_q_lstm_layer-members.html">List of all members</a> </div>
100 <div class="headertitle">
101<div class="title">QLstmLayer Class Reference</div> </div>
102</div><!--header-->
103<div class="contents">
104
105<p>This layer represents a QLstm operation.
106 <a href="classarmnn_1_1_q_lstm_layer.html#details">More...</a></p>
107
108<p><code>#include &lt;<a class="el" href="_q_lstm_layer_8hpp_source.html">QLstmLayer.hpp</a>&gt;</code></p>
109<div class="dynheader">
110Inheritance diagram for QLstmLayer:</div>
111<div class="dyncontent">
112<div class="center"><iframe scrolling="no" frameborder="0" src="classarmnn_1_1_q_lstm_layer__inherit__graph.svg" width="290" height="384"><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 QLstmLayer:</div>
117<div class="dyncontent">
118<div class="center"><iframe scrolling="no" frameborder="0" src="classarmnn_1_1_q_lstm_layer__coll__graph.svg" width="1280" height="340"><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_q_lstm_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 QLstm type. <a href="classarmnn_1_1_q_lstm_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:ac1c16df49489aead2241b460f103f454"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_q_lstm_layer.html">QLstmLayer</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_q_lstm_layer.html#ac1c16df49489aead2241b460f103f454">Clone</a> (<a class="el" href="classarmnn_1_1_graph.html">Graph</a> &amp;graph) const override</td></tr>
128<tr class="memdesc:ac1c16df49489aead2241b460f103f454"><td class="mdescLeft">&#160;</td><td class="mdescRight">Creates a dynamically-allocated copy of this layer. <a href="classarmnn_1_1_q_lstm_layer.html#ac1c16df49489aead2241b460f103f454">More...</a><br /></td></tr>
129<tr class="separator:ac1c16df49489aead2241b460f103f454"><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_q_lstm_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_q_lstm_layer.html">QLstmLayer</a>. <a href="classarmnn_1_1_q_lstm_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_q_lstm_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">By default returns inputShapes if the number of inputs are equal to number of outputs, otherwise infers the output shapes from given input shapes and layer properties. <a href="classarmnn_1_1_q_lstm_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_q_lstm_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_q_lstm_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; QLstmDescriptor &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_q_lstm_descriptor.html">QLstmDescriptor</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>
166<tr class="separator:af6cb8de21ef0da269ec9b67755ae92a0 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
167<tr class="memitem:a9752e12d6b79e18da1a25f76159d2a72 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a> &gt;::iterator&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a9752e12d6b79e18da1a25f76159d2a72">EndInputSlots</a> ()</td></tr>
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169<tr class="memitem:a817d4be6dd88f532d36f51748ec14185 inherit pub_methods_classarmnn_1_1_layer"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_output_slot.html">OutputSlot</a> &gt;::iterator&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.html#a817d4be6dd88f532d36f51748ec14185">BeginOutputSlots</a> ()</td></tr>
170<tr class="separator:a817d4be6dd88f532d36f51748ec14185 inherit pub_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
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:aada2b9060461ecf785d483eee0dc071a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_q_lstm_basic_parameters.html">QLstmBasicParameters</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a></td></tr>
251<tr class="separator:aada2b9060461ecf785d483eee0dc071a"><td class="memSeparator" colspan="2">&#160;</td></tr>
252<tr class="memitem:af53c478cc73821d29a83100b69de84c3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html">QLstmOptCifgParameters</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a></td></tr>
253<tr class="separator:af53c478cc73821d29a83100b69de84c3"><td class="memSeparator" colspan="2">&#160;</td></tr>
254<tr class="memitem:a3cbbd914f0d16664e785e30ffbe0dbf3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html">QLstmOptProjectionParameters</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a></td></tr>
255<tr class="separator:a3cbbd914f0d16664e785e30ffbe0dbf3"><td class="memSeparator" colspan="2">&#160;</td></tr>
256<tr class="memitem:a4855b2b34766d4972a999e324ab88ee5"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html">QLstmOptPeepholeParameters</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a></td></tr>
257<tr class="separator:a4855b2b34766d4972a999e324ab88ee5"><td class="memSeparator" colspan="2">&#160;</td></tr>
258<tr class="memitem:ab43a687e3d705b3b0414d6fedb869e9d"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html">QLstmOptLayerNormParameters</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a></td></tr>
259<tr class="separator:ab43a687e3d705b3b0414d6fedb869e9d"><td class="memSeparator" colspan="2">&#160;</td></tr>
260</table><table class="memberdecls">
261<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a>
262Protected Member Functions</h2></td></tr>
263<tr class="memitem:a3b6119b6dde56939098f0d36e4e6b633"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_q_lstm_layer.html#a3b6119b6dde56939098f0d36e4e6b633">QLstmLayer</a> (const <a class="el" href="structarmnn_1_1_q_lstm_descriptor.html">QLstmDescriptor</a> &amp;param, const char *name)</td></tr>
264<tr class="memdesc:a3b6119b6dde56939098f0d36e4e6b633"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor to create a <a class="el" href="classarmnn_1_1_q_lstm_layer.html" title="This layer represents a QLstm operation.">QLstmLayer</a>. <a href="classarmnn_1_1_q_lstm_layer.html#a3b6119b6dde56939098f0d36e4e6b633">More...</a><br /></td></tr>
265<tr class="separator:a3b6119b6dde56939098f0d36e4e6b633"><td class="memSeparator" colspan="2">&#160;</td></tr>
266<tr class="memitem:af4ba74ad2536984a4327a7b3636b5598"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_q_lstm_layer.html#af4ba74ad2536984a4327a7b3636b5598">~QLstmLayer</a> ()=default</td></tr>
267<tr class="memdesc:af4ba74ad2536984a4327a7b3636b5598"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor. <a href="classarmnn_1_1_q_lstm_layer.html#af4ba74ad2536984a4327a7b3636b5598">More...</a><br /></td></tr>
268<tr class="separator:af4ba74ad2536984a4327a7b3636b5598"><td class="memSeparator" colspan="2">&#160;</td></tr>
269<tr class="memitem:a29cc31172f6ab16ac931f90c667c092d"><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_q_lstm_layer.html#a29cc31172f6ab16ac931f90c667c092d">GetConstantTensorsByRef</a> () const override</td></tr>
270<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_q_lstm_layer.html#a29cc31172f6ab16ac931f90c667c092d">More...</a><br /></td></tr>
271<tr class="separator:a29cc31172f6ab16ac931f90c667c092d"><td class="memSeparator" colspan="2">&#160;</td></tr>
272<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; QLstmDescriptor &gt;</a></td></tr>
273<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_q_lstm_descriptor.html">QLstmDescriptor</a> &amp;param, const char *name)</td></tr>
274<tr class="separator:a1f5a1d629b1ef52a0d8e0214a0fb51a1 inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
275<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>
276<tr class="separator:adc0f578e075f63379058f2d2641a509a inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
277<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>
278<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>
279<tr class="separator:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
280<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>
281<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>
282<tr class="separator:a46fc3fdd4b2a5dd6d184e57983cf20bc inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
283<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>
284<tr class="separator:ad588423ab0d55c8ec4860a7f0a21f5a0 inherit pro_methods_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
285<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>
286<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>
287<tr class="separator:aacfb208d750bdfce1bbd423e5cac76e2 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
288<tr class="memitem:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
289<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>
290<tr class="separator:afc3239f5fc116259bf5451964e803646 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
291<tr class="memitem:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
292<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>
293<tr class="separator:a499ca5a94d0174ed21786b6994b2cd8c inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
294<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>
295<tr class="separator:aeb2d638cc0e02c10075e015100996f2d inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
296<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>
297<tr class="separator:a448afc716fda85394df1e8e5b7d530e8 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
298<tr class="memitem:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer"><td class="memTemplParams" colspan="2">template&lt;typename QueueDescriptor &gt; </td></tr>
299<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>
300<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>
301<tr class="separator:a30a858b2b26d651a066537e499fbf40d inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
302<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>
303<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>
304<tr class="separator:aa10fd205c3f5469a9ecb2aa2a3ffd101 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
305<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>
306<tr class="separator:a9114de666bc2d910faa846b04fc26974 inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
307<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>
308<tr class="separator:af7f0460d32511de0da525f1817d13e8c inherit pro_methods_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
309<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>
310<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>
311<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>
312<tr class="separator:a8c7faf37c1d965431aaa02ae934d67ee inherit pro_methods_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
313</table><table class="memberdecls">
314<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
315Additional Inherited Members</h2></td></tr>
316<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; QLstmDescriptor &gt;</a></td></tr>
317<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_q_lstm_descriptor.html">QLstmDescriptor</a></td></tr>
318<tr class="separator:a6b1bd3d5380a0ce8ecb71ddb0261c3fa inherit pub_types_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
319<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>
320<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>
321<tr class="separator:af978f897fb7e115a901cb7ed95f8e532 inherit pub_types_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
322<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>
323<tr class="separator:aba5c20cadbebd2e7ba67e20a47e31472 inherit pub_types_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
324<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; QLstmDescriptor &gt;</a></td></tr>
325<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_q_lstm_descriptor.html">QLstmDescriptor</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>
326<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>
327<tr class="separator:ad32ac22bc72e28dfd6b466d143c8e262 inherit pro_attribs_classarmnn_1_1_layer_with_parameters"><td class="memSeparator" colspan="2">&#160;</td></tr>
328<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>
329<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>
330<tr class="separator:ac7170f79bd0eadb1b6153e359c023cc0 inherit pro_attribs_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
331<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>
332<tr class="separator:aa44d91037bba52ba0dec6577509ade3b inherit pro_attribs_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
333<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>
334<tr class="separator:afe508761cc8318b15329ba4acf7fbfec inherit pro_attribs_classarmnn_1_1_layer"><td class="memSeparator" colspan="2">&#160;</td></tr>
335</table>
336<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
337<div class="textblock"><p>This layer represents a QLstm operation. </p>
338
339<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8hpp_source.html#l00079">79</a> of file <a class="el" href="_q_lstm_layer_8hpp_source.html">QLstmLayer.hpp</a>.</p>
340</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
341<a id="a3b6119b6dde56939098f0d36e4e6b633"></a>
342<h2 class="memtitle"><span class="permalink"><a href="#a3b6119b6dde56939098f0d36e4e6b633">&#9670;&nbsp;</a></span>QLstmLayer()</h2>
343
344<div class="memitem">
345<div class="memproto">
346<table class="mlabels">
347 <tr>
348 <td class="mlabels-left">
349 <table class="memname">
350 <tr>
351 <td class="memname"><a class="el" href="classarmnn_1_1_q_lstm_layer.html">QLstmLayer</a> </td>
352 <td>(</td>
353 <td class="paramtype">const <a class="el" href="structarmnn_1_1_q_lstm_descriptor.html">QLstmDescriptor</a> &amp;&#160;</td>
354 <td class="paramname"><em>param</em>, </td>
355 </tr>
356 <tr>
357 <td class="paramkey"></td>
358 <td></td>
359 <td class="paramtype">const char *&#160;</td>
360 <td class="paramname"><em>name</em>&#160;</td>
361 </tr>
362 <tr>
363 <td></td>
364 <td>)</td>
365 <td></td><td></td>
366 </tr>
367 </table>
368 </td>
369 <td class="mlabels-right">
370<span class="mlabels"><span class="mlabel">protected</span></span> </td>
371 </tr>
372</table>
373</div><div class="memdoc">
374
375<p>Constructor to create a <a class="el" href="classarmnn_1_1_q_lstm_layer.html" title="This layer represents a QLstm operation.">QLstmLayer</a>. </p>
376<dl class="params"><dt>Parameters</dt><dd>
377 <table class="params">
378 <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>
379 </table>
380 </dd>
381</dl>
382
383<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8cpp_source.html#l00017">17</a> of file <a class="el" href="_q_lstm_layer_8cpp_source.html">QLstmLayer.cpp</a>.</p>
384<div class="fragment"><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; : <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a1f5a1d629b1ef52a0d8e0214a0fb51a1">LayerWithParameters</a>(3, 3, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">LayerType::QLstm</a>, param, name)</div>
385<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;{</div>
386<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;}</div>
387</div><!-- fragment -->
388<p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::QLstm</a>.</p>
389
390</div>
391</div>
392<a id="af4ba74ad2536984a4327a7b3636b5598"></a>
393<h2 class="memtitle"><span class="permalink"><a href="#af4ba74ad2536984a4327a7b3636b5598">&#9670;&nbsp;</a></span>~QLstmLayer()</h2>
394
395<div class="memitem">
396<div class="memproto">
397<table class="mlabels">
398 <tr>
399 <td class="mlabels-left">
400 <table class="memname">
401 <tr>
402 <td class="memname">~<a class="el" href="classarmnn_1_1_q_lstm_layer.html">QLstmLayer</a> </td>
403 <td>(</td>
404 <td class="paramname"></td><td>)</td>
405 <td></td>
406 </tr>
407 </table>
408 </td>
409 <td class="mlabels-right">
410<span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">default</span></span> </td>
411 </tr>
412</table>
413</div><div class="memdoc">
414
415<p>Default destructor. </p>
416
417</div>
418</div>
419<h2 class="groupheader">Member Function Documentation</h2>
420<a id="ac1c16df49489aead2241b460f103f454"></a>
421<h2 class="memtitle"><span class="permalink"><a href="#ac1c16df49489aead2241b460f103f454">&#9670;&nbsp;</a></span>Clone()</h2>
422
423<div class="memitem">
424<div class="memproto">
425<table class="mlabels">
426 <tr>
427 <td class="mlabels-left">
428 <table class="memname">
429 <tr>
430 <td class="memname"><a class="el" href="classarmnn_1_1_q_lstm_layer.html">QLstmLayer</a> * Clone </td>
431 <td>(</td>
432 <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.html">Graph</a> &amp;&#160;</td>
433 <td class="paramname"><em>graph</em></td><td>)</td>
434 <td> const</td>
435 </tr>
436 </table>
437 </td>
438 <td class="mlabels-right">
439<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
440 </tr>
441</table>
442</div><div class="memdoc">
443
444<p>Creates a dynamically-allocated copy of this layer. </p>
445<dl class="params"><dt>Parameters</dt><dd>
446 <table class="params">
447 <tr><td class="paramdir">[in]</td><td class="paramname">graph</td><td>The graph into which this layer is being cloned. </td></tr>
448 </table>
449 </dd>
450</dl>
451
452<p>Implements <a class="el" href="classarmnn_1_1_layer.html#ae89ff455503aa106d00bf34103d2f2e0">Layer</a>.</p>
453
454<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8cpp_source.html#l00081">81</a> of file <a class="el" href="_q_lstm_layer_8cpp_source.html">QLstmLayer.cpp</a>.</p>
455<div class="fragment"><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;{</div>
456<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keyword">auto</span> layer = CloneBase&lt;QLstmLayer&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>
457<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; </div>
458<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; layer-&gt;m_BasicParameters.m_InputToForgetWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> ?</div>
459<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> : <span class="keyword">nullptr</span>;</div>
460<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; layer-&gt;m_BasicParameters.m_InputToCellWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> ?</div>
461<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> : <span class="keyword">nullptr</span>;</div>
462<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; layer-&gt;m_BasicParameters.m_InputToOutputWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> ?</div>
463<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> : <span class="keyword">nullptr</span>;</div>
464<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; layer-&gt;m_BasicParameters.m_RecurrentToForgetWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> ?</div>
465<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> : <span class="keyword">nullptr</span>;</div>
466<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; layer-&gt;m_BasicParameters.m_RecurrentToCellWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> ?</div>
467<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> : <span class="keyword">nullptr</span>;</div>
468<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; layer-&gt;m_BasicParameters.m_RecurrentToOutputWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> ?</div>
469<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> : <span class="keyword">nullptr</span>;</div>
470<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; layer-&gt;m_BasicParameters.m_ForgetGateBias = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> ?</div>
471<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> : <span class="keyword">nullptr</span>;</div>
472<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; layer-&gt;m_BasicParameters.m_CellBias = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a> ?</div>
473<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a> : <span class="keyword">nullptr</span>;</div>
474<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; layer-&gt;m_BasicParameters.m_OutputGateBias = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> ?</div>
475<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> : <span class="keyword">nullptr</span>;</div>
476<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; </div>
477<div class="line"><a name="l00104"></a><span class="lineno"> 104</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_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
478<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; {</div>
479<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; layer-&gt;m_CifgParameters.m_InputToInputWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> ?</div>
480<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> : <span class="keyword">nullptr</span>;</div>
481<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; layer-&gt;m_CifgParameters.m_RecurrentToInputWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> ?</div>
482<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> : <span class="keyword">nullptr</span>;</div>
483<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; layer-&gt;m_CifgParameters.m_InputGateBias = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> ?</div>
484<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> : <span class="keyword">nullptr</span>;</div>
485<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; }</div>
486<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; </div>
487<div class="line"><a name="l00114"></a><span class="lineno"> 114</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_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div>
488<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; {</div>
489<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; layer-&gt;m_ProjectionParameters.m_ProjectionWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a> ?</div>
490<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a> : <span class="keyword">nullptr</span>;</div>
491<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; layer-&gt;m_ProjectionParameters.m_ProjectionBias = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a> ?</div>
492<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a> : <span class="keyword">nullptr</span>;</div>
493<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; }</div>
494<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; </div>
495<div class="line"><a name="l00122"></a><span class="lineno"> 122</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_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div>
496<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; {</div>
497<div class="line"><a name="l00124"></a><span class="lineno"> 124</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_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>) {</div>
498<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; layer-&gt;m_PeepholeParameters.m_CellToInputWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a> ?</div>
499<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a> : <span class="keyword">nullptr</span>;</div>
500<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; }</div>
501<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; </div>
502<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; layer-&gt;m_PeepholeParameters.m_CellToForgetWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a> ?</div>
503<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a> : <span class="keyword">nullptr</span>;</div>
504<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; layer-&gt;m_PeepholeParameters.m_CellToOutputWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a> ?</div>
505<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a> : <span class="keyword">nullptr</span>;</div>
506<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; }</div>
507<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; </div>
508<div class="line"><a name="l00135"></a><span class="lineno"> 135</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_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div>
509<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; {</div>
510<div class="line"><a name="l00137"></a><span class="lineno"> 137</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_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>) {</div>
511<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; layer-&gt;m_LayerNormParameters.m_InputLayerNormWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a> ?</div>
512<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a> : <span class="keyword">nullptr</span>;</div>
513<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; }</div>
514<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; </div>
515<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; layer-&gt;m_LayerNormParameters.m_ForgetLayerNormWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a> ?</div>
516<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a> : <span class="keyword">nullptr</span>;</div>
517<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; layer-&gt;m_LayerNormParameters.m_CellLayerNormWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a> ?</div>
518<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a> : <span class="keyword">nullptr</span>;</div>
519<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; layer-&gt;m_LayerNormParameters.m_OutputLayerNormWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a> ?</div>
520<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a> : <span class="keyword">nullptr</span>;</div>
521<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; }</div>
522<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; </div>
523<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <span class="keywordflow">return</span> std::move(layer);</div>
524<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;}</div>
525</div><!-- fragment -->
526<p class="reference">References <a class="el" href="_layer_8hpp_source.html#l00332">Layer::GetName()</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00083">QLstmLayer::m_BasicParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00033">QLstmBasicParameters::m_CellBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00073">QLstmOptLayerNormParameters::m_CellLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00051">QLstmOptPeepholeParameters::m_CellToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00049">QLstmOptPeepholeParameters::m_CellToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00053">QLstmOptPeepholeParameters::m_CellToOutputWeights</a>, <a class="el" href="_descriptors_8hpp_source.html#l01418">QLstmDescriptor::m_CifgEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00084">QLstmLayer::m_CifgParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00031">QLstmBasicParameters::m_ForgetGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00071">QLstmOptLayerNormParameters::m_ForgetLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00063">QLstmOptCifgParameters::m_InputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00069">QLstmOptLayerNormParameters::m_InputLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00019">QLstmBasicParameters::m_InputToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00017">QLstmBasicParameters::m_InputToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00059">QLstmOptCifgParameters::m_InputToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00021">QLstmBasicParameters::m_InputToOutputWeights</a>, <a class="el" href="_descriptors_8hpp_source.html#l01424">QLstmDescriptor::m_LayerNormEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00087">QLstmLayer::m_LayerNormParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00035">QLstmBasicParameters::m_OutputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00075">QLstmOptLayerNormParameters::m_OutputLayerNormWeights</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters&lt; QLstmDescriptor &gt;::m_Param</a>, <a class="el" href="_descriptors_8hpp_source.html#l01420">QLstmDescriptor::m_PeepholeEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00086">QLstmLayer::m_PeepholeParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00043">QLstmOptProjectionParameters::m_ProjectionBias</a>, <a class="el" href="_descriptors_8hpp_source.html#l01422">QLstmDescriptor::m_ProjectionEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00085">QLstmLayer::m_ProjectionParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00041">QLstmOptProjectionParameters::m_ProjectionWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00026">QLstmBasicParameters::m_RecurrentToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00024">QLstmBasicParameters::m_RecurrentToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00061">QLstmOptCifgParameters::m_RecurrentToInputWeights</a>, and <a class="el" href="_q_lstm_layer_8hpp_source.html#l00028">QLstmBasicParameters::m_RecurrentToOutputWeights</a>.</p>
527
528</div>
529</div>
530<a id="adfa912d0c4c6c00f1af2cbfa799572b7"></a>
531<h2 class="memtitle"><span class="permalink"><a href="#adfa912d0c4c6c00f1af2cbfa799572b7">&#9670;&nbsp;</a></span>CreateWorkload()</h2>
532
533<div class="memitem">
534<div class="memproto">
535<table class="mlabels">
536 <tr>
537 <td class="mlabels-left">
538 <table class="memname">
539 <tr>
540 <td class="memname">std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_workload.html">IWorkload</a> &gt; CreateWorkload </td>
541 <td>(</td>
542 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a> &amp;&#160;</td>
543 <td class="paramname"><em>factory</em></td><td>)</td>
544 <td> const</td>
545 </tr>
546 </table>
547 </td>
548 <td class="mlabels-right">
549<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
550 </tr>
551</table>
552</div><div class="memdoc">
553
554<p>Makes a workload for the QLstm type. </p>
555<dl class="params"><dt>Parameters</dt><dd>
556 <table class="params">
557 <tr><td class="paramdir">[in]</td><td class="paramname">graph</td><td>The graph where this layer can be found. </td></tr>
558 <tr><td class="paramdir">[in]</td><td class="paramname">factory</td><td>The workload factory which will create the workload. </td></tr>
559 </table>
560 </dd>
561</dl>
562<dl class="section return"><dt>Returns</dt><dd>A pointer to the created workload, or nullptr if not created. </dd></dl>
563
564<p>Implements <a class="el" href="classarmnn_1_1_layer.html#a08d1e10a45f15cd0bd02557be35a3864">Layer</a>.</p>
565
566<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8cpp_source.html#l00022">22</a> of file <a class="el" href="_q_lstm_layer_8cpp_source.html">QLstmLayer.cpp</a>.</p>
567<div class="fragment"><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;{</div>
568<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; QLstmQueueDescriptor descriptor;</div>
569<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; </div>
570<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="comment">// Basic parameters</span></div>
571<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; descriptor.m_InputToForgetWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>.get();</div>
572<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; descriptor.m_InputToCellWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>.get();</div>
573<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; descriptor.m_InputToOutputWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>.get();</div>
574<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; descriptor.m_RecurrentToForgetWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>.get();</div>
575<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; descriptor.m_RecurrentToCellWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>.get();</div>
576<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; descriptor.m_RecurrentToOutputWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>.get();</div>
577<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; descriptor.m_ForgetGateBias = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>.get();</div>
578<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; descriptor.m_CellBias = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>.get();</div>
579<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; descriptor.m_OutputGateBias = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>.get();</div>
580<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; </div>
581<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="comment">// CIFG parameters</span></div>
582<div class="line"><a name="l00038"></a><span class="lineno"> 38</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_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
583<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; {</div>
584<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; descriptor.m_InputToInputWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>.get();</div>
585<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; descriptor.m_RecurrentToInputWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>.get();</div>
586<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; descriptor.m_InputGateBias = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>.get();</div>
587<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; }</div>
588<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; </div>
589<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="comment">// Projection parameters</span></div>
590<div class="line"><a name="l00046"></a><span class="lineno"> 46</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_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div>
591<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; {</div>
592<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; descriptor.m_ProjectionWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a>.get();</div>
593<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; descriptor.m_ProjectionBias = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a>.get();</div>
594<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; }</div>
595<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; </div>
596<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="comment">// Peephole parameters</span></div>
597<div class="line"><a name="l00053"></a><span class="lineno"> 53</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_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div>
598<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; {</div>
599<div class="line"><a name="l00055"></a><span class="lineno"> 55</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_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
600<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; {</div>
601<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; descriptor.m_CellToInputWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a>.get();</div>
602<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; }</div>
603<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; </div>
604<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; descriptor.m_CellToForgetWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a>.get();</div>
605<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; descriptor.m_CellToOutputWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a>.get();</div>
606<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; }</div>
607<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; </div>
608<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="comment">// Layer normalisation parameters</span></div>
609<div class="line"><a name="l00065"></a><span class="lineno"> 65</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_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div>
610<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; {</div>
611<div class="line"><a name="l00067"></a><span class="lineno"> 67</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_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
612<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; {</div>
613<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; descriptor.m_InputLayerNormWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a>.get();</div>
614<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; }</div>
615<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; descriptor.m_ForgetLayerNormWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a>.get();</div>
616<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; descriptor.m_CellLayerNormWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a>.get();</div>
617<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; descriptor.m_OutputLayerNormWeights = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a>.get();</div>
618<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; }</div>
619<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; </div>
620<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div>
621<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; </div>
622<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keywordflow">return</span> factory.CreateWorkload(<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">LayerType::QLstm</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div>
623<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;}</div>
624</div><!-- fragment -->
625<p class="reference">References <a class="el" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00083">QLstmLayer::m_BasicParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00033">QLstmBasicParameters::m_CellBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00602">QLstmQueueDescriptor::m_CellBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00073">QLstmOptLayerNormParameters::m_CellLayerNormWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00608">QLstmQueueDescriptor::m_CellLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00051">QLstmOptPeepholeParameters::m_CellToForgetWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00598">QLstmQueueDescriptor::m_CellToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00049">QLstmOptPeepholeParameters::m_CellToInputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00597">QLstmQueueDescriptor::m_CellToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00053">QLstmOptPeepholeParameters::m_CellToOutputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00599">QLstmQueueDescriptor::m_CellToOutputWeights</a>, <a class="el" href="_descriptors_8hpp_source.html#l01418">QLstmDescriptor::m_CifgEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00084">QLstmLayer::m_CifgParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00031">QLstmBasicParameters::m_ForgetGateBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00601">QLstmQueueDescriptor::m_ForgetGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00071">QLstmOptLayerNormParameters::m_ForgetLayerNormWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00607">QLstmQueueDescriptor::m_ForgetLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00063">QLstmOptCifgParameters::m_InputGateBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00600">QLstmQueueDescriptor::m_InputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00069">QLstmOptLayerNormParameters::m_InputLayerNormWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00606">QLstmQueueDescriptor::m_InputLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00019">QLstmBasicParameters::m_InputToCellWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00591">QLstmQueueDescriptor::m_InputToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00017">QLstmBasicParameters::m_InputToForgetWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00590">QLstmQueueDescriptor::m_InputToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00059">QLstmOptCifgParameters::m_InputToInputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00589">QLstmQueueDescriptor::m_InputToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00021">QLstmBasicParameters::m_InputToOutputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00592">QLstmQueueDescriptor::m_InputToOutputWeights</a>, <a class="el" href="_descriptors_8hpp_source.html#l01424">QLstmDescriptor::m_LayerNormEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00087">QLstmLayer::m_LayerNormParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00035">QLstmBasicParameters::m_OutputGateBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00603">QLstmQueueDescriptor::m_OutputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00075">QLstmOptLayerNormParameters::m_OutputLayerNormWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00609">QLstmQueueDescriptor::m_OutputLayerNormWeights</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters&lt; QLstmDescriptor &gt;::m_Param</a>, <a class="el" href="_descriptors_8hpp_source.html#l01420">QLstmDescriptor::m_PeepholeEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00086">QLstmLayer::m_PeepholeParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00043">QLstmOptProjectionParameters::m_ProjectionBias</a>, <a class="el" href="_workload_data_8hpp_source.html#l00605">QLstmQueueDescriptor::m_ProjectionBias</a>, <a class="el" href="_descriptors_8hpp_source.html#l01422">QLstmDescriptor::m_ProjectionEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00085">QLstmLayer::m_ProjectionParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00041">QLstmOptProjectionParameters::m_ProjectionWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00604">QLstmQueueDescriptor::m_ProjectionWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00026">QLstmBasicParameters::m_RecurrentToCellWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00595">QLstmQueueDescriptor::m_RecurrentToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00024">QLstmBasicParameters::m_RecurrentToForgetWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00594">QLstmQueueDescriptor::m_RecurrentToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00061">QLstmOptCifgParameters::m_RecurrentToInputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00593">QLstmQueueDescriptor::m_RecurrentToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00028">QLstmBasicParameters::m_RecurrentToOutputWeights</a>, <a class="el" href="_workload_data_8hpp_source.html#l00596">QLstmQueueDescriptor::m_RecurrentToOutputWeights</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters&lt; QLstmDescriptor &gt;::PrepInfoAndDesc()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::QLstm</a>, and <a class="el" href="_layer_8cpp_source.html#l00303">Layer::SetAdditionalInfo()</a>.</p>
626
627</div>
628</div>
629<a id="a46fc3fdd4b2a5dd6d184e57983cf20bc"></a>
630<h2 class="memtitle"><span class="permalink"><a href="#a46fc3fdd4b2a5dd6d184e57983cf20bc">&#9670;&nbsp;</a></span>ExecuteStrategy()</h2>
631
632<div class="memitem">
633<div class="memproto">
634<table class="mlabels">
635 <tr>
636 <td class="mlabels-left">
637 <table class="memname">
638 <tr>
639 <td class="memname">void ExecuteStrategy </td>
640 <td>(</td>
641 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_strategy.html">IStrategy</a> &amp;&#160;</td>
642 <td class="paramname"><em>strategy</em></td><td>)</td>
643 <td> const</td>
644 </tr>
645 </table>
646 </td>
647 <td class="mlabels-right">
648<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
649 </tr>
650</table>
651</div><div class="memdoc">
652
653<p>Apply a visitor to this layer. </p>
654
655<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer</a>.</p>
656
657<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8cpp_source.html#l00403">403</a> of file <a class="el" href="_q_lstm_layer_8cpp_source.html">QLstmLayer.cpp</a>.</p>
658<div class="fragment"><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160;{</div>
659<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; std::vector&lt;ConstTensor&gt; constTensors;</div>
660<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; ManagedConstTensorHandle managedInputToForgetWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>);</div>
661<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; ManagedConstTensorHandle managedInputToCellWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>);</div>
662<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; ManagedConstTensorHandle managedInputToOutputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>);</div>
663<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; ManagedConstTensorHandle managedRecurrentToForgetWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>);</div>
664<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; ManagedConstTensorHandle managedRecurrentToCellWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>);</div>
665<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; ManagedConstTensorHandle managedRecurrentToOutputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>);</div>
666<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; ManagedConstTensorHandle managedForgetGateBias(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>);</div>
667<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; ManagedConstTensorHandle managedCellBias(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>);</div>
668<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; ManagedConstTensorHandle managedOutputGateBias(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>);</div>
669<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; </div>
670<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; <span class="comment">// Cifg parameters</span></div>
671<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; ManagedConstTensorHandle managedInputToInputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>);</div>
672<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; ManagedConstTensorHandle managedRecurrentToInputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>);</div>
673<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; ManagedConstTensorHandle managedInputGateBias(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>);</div>
674<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160; </div>
675<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; <span class="comment">// Projection parameters</span></div>
676<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; ManagedConstTensorHandle managedProjectionWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a>);</div>
677<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; ManagedConstTensorHandle managedProjectionBias(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a>);</div>
678<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; </div>
679<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160; <span class="comment">// Peephole parameters</span></div>
680<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160; ManagedConstTensorHandle managedCellToInputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a>);</div>
681<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160; ManagedConstTensorHandle managedCellToForgetWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a>);</div>
682<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160; ManagedConstTensorHandle managedCellToOutputWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a>);</div>
683<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160; </div>
684<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160; <span class="comment">// Layer normalisation parameters</span></div>
685<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160; ManagedConstTensorHandle managedInputLayerNormWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a>);</div>
686<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; ManagedConstTensorHandle managedForgetLayerNormWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a>);</div>
687<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160; ManagedConstTensorHandle managedCellLayerNormWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a>);</div>
688<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; ManagedConstTensorHandle managedOutputLayerNormWeights(<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a>);</div>
689<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; </div>
690<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; <span class="comment">// First add mandatory/basic parameters</span></div>
691<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> != <span class="keyword">nullptr</span>)</div>
692<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; {</div>
693<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; constTensors.emplace_back(ConstTensor(managedInputToForgetWeights.GetTensorInfo(),</div>
694<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160; managedInputToForgetWeights.Map()));</div>
695<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160; }</div>
696<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> != <span class="keyword">nullptr</span>)</div>
697<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; {</div>
698<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; constTensors.emplace_back(ConstTensor(managedInputToCellWeights.GetTensorInfo(),</div>
699<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160; managedInputToCellWeights.Map()));</div>
700<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160; }</div>
701<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> != <span class="keyword">nullptr</span>)</div>
702<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; {</div>
703<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; constTensors.emplace_back(ConstTensor(managedInputToOutputWeights.GetTensorInfo(),</div>
704<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; managedInputToOutputWeights.Map()));</div>
705<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160; }</div>
706<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> != <span class="keyword">nullptr</span>)</div>
707<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160; {</div>
708<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160; constTensors.emplace_back(ConstTensor(</div>
709<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160; managedRecurrentToForgetWeights.GetTensorInfo(),</div>
710<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160; managedRecurrentToForgetWeights.Map()));</div>
711<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160; }</div>
712<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> != <span class="keyword">nullptr</span>)</div>
713<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>&#160; {</div>
714<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160; constTensors.emplace_back(ConstTensor(</div>
715<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>&#160; managedRecurrentToCellWeights.GetTensorInfo(),</div>
716<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160; managedRecurrentToCellWeights.Map()));</div>
717<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; }</div>
718<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> != <span class="keyword">nullptr</span>)</div>
719<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>&#160; {</div>
720<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160; constTensors.emplace_back(ConstTensor(</div>
721<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>&#160; managedRecurrentToOutputWeights.GetTensorInfo(),</div>
722<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160; managedRecurrentToOutputWeights.Map()));</div>
723<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160; }</div>
724<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> != <span class="keyword">nullptr</span>)</div>
725<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160; {</div>
726<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160; constTensors.emplace_back(ConstTensor(managedForgetGateBias.GetTensorInfo(),</div>
727<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160; managedForgetGateBias.Map()));</div>
728<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160; }</div>
729<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a> != <span class="keyword">nullptr</span>)</div>
730<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160; {</div>
731<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160; constTensors.emplace_back(ConstTensor(managedCellBias.GetTensorInfo(),</div>
732<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160; managedCellBias.Map()));</div>
733<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; }</div>
734<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> != <span class="keyword">nullptr</span>)</div>
735<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; {</div>
736<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160; constTensors.emplace_back(ConstTensor(managedOutputGateBias.GetTensorInfo(),</div>
737<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160; managedOutputGateBias.Map()));</div>
738<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160; }</div>
739<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160; </div>
740<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160; <span class="comment">// Add cifig parameters</span></div>
741<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> != <span class="keyword">nullptr</span>)</div>
742<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160; {</div>
743<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160; constTensors.emplace_back(ConstTensor(managedInputToInputWeights.GetTensorInfo(),</div>
744<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160; managedInputToInputWeights.Map()));</div>
745<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160; }</div>
746<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> != <span class="keyword">nullptr</span>)</div>
747<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160; {</div>
748<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>&#160; constTensors.emplace_back(ConstTensor(</div>
749<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; managedRecurrentToInputWeights.GetTensorInfo(),</div>
750<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; managedRecurrentToInputWeights.Map()));</div>
751<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160; }</div>
752<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> != <span class="keyword">nullptr</span>)</div>
753<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160; {</div>
754<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160; constTensors.emplace_back(ConstTensor(managedInputGateBias.GetTensorInfo(),</div>
755<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160; managedInputGateBias.Map()));</div>
756<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160; }</div>
757<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160; </div>
758<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160; <span class="comment">// Add peephole parameters</span></div>
759<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a> != <span class="keyword">nullptr</span>)</div>
760<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160; {</div>
761<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160; constTensors.emplace_back(ConstTensor(managedCellToInputWeights.GetTensorInfo(),</div>
762<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160; managedCellToInputWeights.Map()));</div>
763<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160; }</div>
764<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a> != <span class="keyword">nullptr</span>)</div>
765<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160; {</div>
766<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; constTensors.emplace_back(ConstTensor(managedCellToForgetWeights.GetTensorInfo(),</div>
767<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160; managedCellToForgetWeights.Map()));</div>
768<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160; }</div>
769<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a> != <span class="keyword">nullptr</span>)</div>
770<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160; {</div>
771<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>&#160; constTensors.emplace_back(ConstTensor(managedCellToOutputWeights.GetTensorInfo(),</div>
772<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160; managedCellToOutputWeights.Map()));</div>
773<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160; }</div>
774<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160; </div>
775<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160; <span class="comment">// Add projection parameters</span></div>
776<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a> != <span class="keyword">nullptr</span>)</div>
777<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>&#160; {</div>
778<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>&#160; constTensors.emplace_back(ConstTensor(managedProjectionWeights.GetTensorInfo(),</div>
779<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>&#160; managedProjectionWeights.Map()));</div>
780<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; }</div>
781<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div>
782<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>&#160; {</div>
783<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160; constTensors.emplace_back(ConstTensor(managedProjectionBias.GetTensorInfo(),</div>
784<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>&#160; managedProjectionBias.Map()));</div>
785<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160; }</div>
786<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160; </div>
787<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160; <span class="comment">// Add norm parameters</span></div>
788<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a> != <span class="keyword">nullptr</span>)</div>
789<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160; {</div>
790<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>&#160; constTensors.emplace_back(ConstTensor(managedInputLayerNormWeights.GetTensorInfo(),</div>
791<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160; managedInputLayerNormWeights.Map()));</div>
792<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160; }</div>
793<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a> != <span class="keyword">nullptr</span>)</div>
794<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160; {</div>
795<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160; constTensors.emplace_back(ConstTensor(managedForgetLayerNormWeights.GetTensorInfo(),</div>
796<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160; managedForgetLayerNormWeights.Map()));</div>
797<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160; }</div>
798<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a> != <span class="keyword">nullptr</span>)</div>
799<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160; {</div>
800<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160; constTensors.emplace_back(ConstTensor(managedCellLayerNormWeights.GetTensorInfo(),</div>
801<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; managedCellLayerNormWeights.Map()));</div>
802<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160; }</div>
803<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a> != <span class="keyword">nullptr</span>)</div>
804<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; {</div>
805<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160; constTensors.emplace_back(ConstTensor(managedOutputLayerNormWeights.GetTensorInfo(),</div>
806<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160; managedOutputLayerNormWeights.Map()));</div>
807<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160; }</div>
808<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; strategy.ExecuteStrategy(<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>
809<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160;}</div>
810</div><!-- fragment -->
811<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; QLstmDescriptor &gt;::GetParameters()</a>, <a class="el" href="_tensor_handle_8hpp_source.html#l00239">ManagedConstTensorHandle::GetTensorInfo()</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00083">QLstmLayer::m_BasicParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00033">QLstmBasicParameters::m_CellBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00073">QLstmOptLayerNormParameters::m_CellLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00051">QLstmOptPeepholeParameters::m_CellToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00049">QLstmOptPeepholeParameters::m_CellToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00053">QLstmOptPeepholeParameters::m_CellToOutputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00084">QLstmLayer::m_CifgParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00031">QLstmBasicParameters::m_ForgetGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00071">QLstmOptLayerNormParameters::m_ForgetLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00063">QLstmOptCifgParameters::m_InputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00069">QLstmOptLayerNormParameters::m_InputLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00019">QLstmBasicParameters::m_InputToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00017">QLstmBasicParameters::m_InputToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00059">QLstmOptCifgParameters::m_InputToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00021">QLstmBasicParameters::m_InputToOutputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00087">QLstmLayer::m_LayerNormParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00035">QLstmBasicParameters::m_OutputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00075">QLstmOptLayerNormParameters::m_OutputLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00086">QLstmLayer::m_PeepholeParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00043">QLstmOptProjectionParameters::m_ProjectionBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00085">QLstmLayer::m_ProjectionParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00041">QLstmOptProjectionParameters::m_ProjectionWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00026">QLstmBasicParameters::m_RecurrentToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00024">QLstmBasicParameters::m_RecurrentToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00061">QLstmOptCifgParameters::m_RecurrentToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00028">QLstmBasicParameters::m_RecurrentToOutputWeights</a>, and <a class="el" href="_tensor_handle_8hpp_source.html#l00196">ManagedConstTensorHandle::Map()</a>.</p>
812
813</div>
814</div>
815<a id="a29cc31172f6ab16ac931f90c667c092d"></a>
816<h2 class="memtitle"><span class="permalink"><a href="#a29cc31172f6ab16ac931f90c667c092d">&#9670;&nbsp;</a></span>GetConstantTensorsByRef()</h2>
817
818<div class="memitem">
819<div class="memproto">
820<table class="mlabels">
821 <tr>
822 <td class="mlabels-left">
823 <table class="memname">
824 <tr>
825 <td class="memname"><a class="el" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">Layer::ImmutableConstantTensors</a> GetConstantTensorsByRef </td>
826 <td>(</td>
827 <td class="paramname"></td><td>)</td>
828 <td> const</td>
829 </tr>
830 </table>
831 </td>
832 <td class="mlabels-right">
833<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span> </td>
834 </tr>
835</table>
836</div><div class="memdoc">
837
838<p>Retrieve the handles to the constant values stored by the layer. </p>
839<dl class="section return"><dt>Returns</dt><dd>A vector of the constant tensors stored by this layer. </dd></dl>
840
841<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a45544992c89527fa4d51498a91401640">Layer</a>.</p>
842
843<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8cpp_source.html#l00368">368</a> of file <a class="el" href="_q_lstm_layer_8cpp_source.html">QLstmLayer.cpp</a>.</p>
844<div class="fragment"><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160;{</div>
845<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; <span class="comment">// For API stability DO NOT ALTER order and add new members to the end of vector</span></div>
846<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; <span class="keywordflow">return</span> {<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>,</div>
847<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>,</div>
848<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>,</div>
849<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>,</div>
850<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>,</div>
851<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>,</div>
852<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>,</div>
853<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>,</div>
854<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>,</div>
855<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160; </div>
856<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; <span class="comment">// Cifg parameters</span></div>
857<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>,</div>
858<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>,</div>
859<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>,</div>
860<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; </div>
861<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; <span class="comment">// Projection parameters</span></div>
862<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a>,</div>
863<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a>,</div>
864<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; </div>
865<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; <span class="comment">// Peephole parameters</span></div>
866<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a>,</div>
867<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a>,</div>
868<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a>,</div>
869<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; </div>
870<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; <span class="comment">// Layer normalisation parameters</span></div>
871<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a>,</div>
872<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a>,</div>
873<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a>,</div>
874<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a>};</div>
875<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160;}</div>
876</div><!-- fragment -->
877<p class="reference">References <a class="el" href="_q_lstm_layer_8hpp_source.html#l00083">QLstmLayer::m_BasicParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00033">QLstmBasicParameters::m_CellBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00073">QLstmOptLayerNormParameters::m_CellLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00051">QLstmOptPeepholeParameters::m_CellToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00049">QLstmOptPeepholeParameters::m_CellToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00053">QLstmOptPeepholeParameters::m_CellToOutputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00084">QLstmLayer::m_CifgParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00031">QLstmBasicParameters::m_ForgetGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00071">QLstmOptLayerNormParameters::m_ForgetLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00063">QLstmOptCifgParameters::m_InputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00069">QLstmOptLayerNormParameters::m_InputLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00019">QLstmBasicParameters::m_InputToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00017">QLstmBasicParameters::m_InputToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00059">QLstmOptCifgParameters::m_InputToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00021">QLstmBasicParameters::m_InputToOutputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00087">QLstmLayer::m_LayerNormParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00035">QLstmBasicParameters::m_OutputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00075">QLstmOptLayerNormParameters::m_OutputLayerNormWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00086">QLstmLayer::m_PeepholeParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00043">QLstmOptProjectionParameters::m_ProjectionBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00085">QLstmLayer::m_ProjectionParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00041">QLstmOptProjectionParameters::m_ProjectionWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00026">QLstmBasicParameters::m_RecurrentToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00024">QLstmBasicParameters::m_RecurrentToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00061">QLstmOptCifgParameters::m_RecurrentToInputWeights</a>, and <a class="el" href="_q_lstm_layer_8hpp_source.html#l00028">QLstmBasicParameters::m_RecurrentToOutputWeights</a>.</p>
878
879</div>
880</div>
881<a id="a65ca562c882ad619684445a1402f415a"></a>
882<h2 class="memtitle"><span class="permalink"><a href="#a65ca562c882ad619684445a1402f415a">&#9670;&nbsp;</a></span>InferOutputShapes()</h2>
883
884<div class="memitem">
885<div class="memproto">
886<table class="mlabels">
887 <tr>
888 <td class="mlabels-left">
889 <table class="memname">
890 <tr>
891 <td class="memname">std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &gt; InferOutputShapes </td>
892 <td>(</td>
893 <td class="paramtype">const std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &gt; &amp;&#160;</td>
894 <td class="paramname"><em>inputShapes</em></td><td>)</td>
895 <td> const</td>
896 </tr>
897 </table>
898 </td>
899 <td class="mlabels-right">
900<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
901 </tr>
902</table>
903</div><div class="memdoc">
904
905<p>By default returns inputShapes if the number of inputs are equal to number of outputs, otherwise infers the output shapes from given input shapes and layer properties. </p>
906<dl class="params"><dt>Parameters</dt><dd>
907 <table class="params">
908 <tr><td class="paramdir">[in]</td><td class="paramname">inputShapes</td><td>The input shapes layer has. </td></tr>
909 </table>
910 </dd>
911</dl>
912<dl class="section return"><dt>Returns</dt><dd>A vector to the inferred output shape. </dd></dl>
913
914<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">Layer</a>.</p>
915
916<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8cpp_source.html#l00153">153</a> of file <a class="el" href="_q_lstm_layer_8cpp_source.html">QLstmLayer.cpp</a>.</p>
917<div class="fragment"><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;{</div>
918<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="keywordflow">if</span> (inputShapes.size() != 3)</div>
919<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; {</div>
920<div class="line"><a name="l00157"></a><span class="lineno"> 157</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>
921<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="stringliteral">&quot;\&quot; - should be \&quot;3\&quot;.&quot;</span>);</div>
922<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; }</div>
923<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; </div>
924<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <span class="comment">// Get input values for validation</span></div>
925<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = inputShapes[0][0];</div>
926<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSize = inputShapes[1][1];</div>
927<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numUnits = inputShapes[2][1];</div>
928<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; </div>
929<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; std::vector&lt;TensorShape&gt; outShapes;</div>
930<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; outShapes.push_back(TensorShape({ batchSize, outputSize })); <span class="comment">// outputStateOut</span></div>
931<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; outShapes.push_back(TensorShape({ batchSize, numUnits })); <span class="comment">// cellStateOut</span></div>
932<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; outShapes.push_back(TensorShape({ batchSize, outputSize })); <span class="comment">// output</span></div>
933<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; </div>
934<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <span class="keywordflow">return</span> outShapes;</div>
935<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;}</div>
936</div><!-- fragment -->
937<p class="reference">Referenced by <a class="el" href="_q_lstm_layer_8cpp_source.html#l00174">QLstmLayer::ValidateTensorShapesFromInputs()</a>.</p>
938
939</div>
940</div>
941<a id="a8c8f543d7e9729362c266d12ec169966"></a>
942<h2 class="memtitle"><span class="permalink"><a href="#a8c8f543d7e9729362c266d12ec169966">&#9670;&nbsp;</a></span>ValidateTensorShapesFromInputs()</h2>
943
944<div class="memitem">
945<div class="memproto">
946<table class="mlabels">
947 <tr>
948 <td class="mlabels-left">
949 <table class="memname">
950 <tr>
951 <td class="memname">void ValidateTensorShapesFromInputs </td>
952 <td>(</td>
953 <td class="paramname"></td><td>)</td>
954 <td></td>
955 </tr>
956 </table>
957 </td>
958 <td class="mlabels-right">
959<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
960 </tr>
961</table>
962</div><div class="memdoc">
963
964<p>Check if the input tensor shape(s) will lead to a valid configuration of <a class="el" href="classarmnn_1_1_q_lstm_layer.html">QLstmLayer</a>. </p>
965<dl class="params"><dt>Parameters</dt><dd>
966 <table class="params">
967 <tr><td class="paramdir">[in]</td><td class="paramname">shapeInferenceMethod</td><td>Indicates if output shape shall be overwritten or just validated. </td></tr>
968 </table>
969 </dd>
970</dl>
971
972<p>Implements <a class="el" href="classarmnn_1_1_layer.html#a84ff600212ba26e665de9b978ec896a4">Layer</a>.</p>
973
974<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8cpp_source.html#l00174">174</a> of file <a class="el" href="_q_lstm_layer_8cpp_source.html">QLstmLayer.cpp</a>.</p>
975<div class="fragment"><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;{</div>
976<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(3, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
977<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; </div>
978<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <span class="keyword">const</span> TensorShape&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>
979<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; </div>
980<div class="line"><a name="l00180"></a><span class="lineno"> 180</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>
981<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; </div>
982<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(</div>
983<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; {</div>
984<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), <span class="comment">// input</span></div>
985<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), <span class="comment">// previousOutputIn</span></div>
986<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(2).<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>() <span class="comment">// previousCellStateIn</span></div>
987<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; });</div>
988<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; </div>
989<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; <span class="keywordflow">if</span> (inferredShapes.size() != 3)</div>
990<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; {</div>
991<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;inferredShapes has &quot;</span></div>
992<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; + std::to_string(inferredShapes.size()) +</div>
993<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <span class="stringliteral">&quot; element(s) - should only have 3.&quot;</span>);</div>
994<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; }</div>
995<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; </div>
996<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="comment">// Check if the weights are nullptr for basic params</span></div>
997<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>)</div>
998<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; {</div>
999<div class="line"><a name="l00199"></a><span class="lineno"> 199</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;QLstmLayer: &quot;</span></div>
1000<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_InputToForgetWeights should not be null.&quot;</span>);</div>
1001<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; }</div>
1002<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; </div>
1003<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>)</div>
1004<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; {</div>
1005<div class="line"><a name="l00205"></a><span class="lineno"> 205</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;QLstmLayer: &quot;</span></div>
1006<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_InputToCellWeights should not be null.&quot;</span>);</div>
1007<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; }</div>
1008<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; </div>
1009<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>)</div>
1010<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; {</div>
1011<div class="line"><a name="l00211"></a><span class="lineno"> 211</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;QLstmLayer: &quot;</span></div>
1012<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_InputToOutputWeights should not be null.&quot;</span>);</div>
1013<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; }</div>
1014<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; </div>
1015<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>)</div>
1016<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; {</div>
1017<div class="line"><a name="l00217"></a><span class="lineno"> 217</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;QLstmLayer: &quot;</span></div>
1018<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_RecurrentToForgetWeights should not be null.&quot;</span>);</div>
1019<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; }</div>
1020<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; </div>
1021<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>)</div>
1022<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; {</div>
1023<div class="line"><a name="l00223"></a><span class="lineno"> 223</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;QLstmLayer: &quot;</span></div>
1024<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_RecurrentToCellWeights should not be null.&quot;</span>);</div>
1025<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; }</div>
1026<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; </div>
1027<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>)</div>
1028<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; {</div>
1029<div class="line"><a name="l00229"></a><span class="lineno"> 229</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;QLstmLayer: &quot;</span></div>
1030<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_RecurrentToOutputWeights should not be null.&quot;</span>);</div>
1031<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; }</div>
1032<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; </div>
1033<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>)</div>
1034<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; {</div>
1035<div class="line"><a name="l00235"></a><span class="lineno"> 235</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;QLstmLayer: &quot;</span></div>
1036<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_ForgetGateBias should not be null.&quot;</span>);</div>
1037<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; }</div>
1038<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; </div>
1039<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>)</div>
1040<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; {</div>
1041<div class="line"><a name="l00241"></a><span class="lineno"> 241</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;QLstmLayer: &quot;</span></div>
1042<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_CellBias should not be null.&quot;</span>);</div>
1043<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; }</div>
1044<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; </div>
1045<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>)</div>
1046<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; {</div>
1047<div class="line"><a name="l00247"></a><span class="lineno"> 247</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;QLstmLayer: &quot;</span></div>
1048<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_OutputGateBias should not be null.&quot;</span>);</div>
1049<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; }</div>
1050<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; </div>
1051<div class="line"><a name="l00251"></a><span class="lineno"> 251</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_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
1052<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; {</div>
1053<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>)</div>
1054<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; {</div>
1055<div class="line"><a name="l00255"></a><span class="lineno"> 255</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;QLstmLayer: &quot;</span></div>
1056<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; <span class="stringliteral">&quot;m_CifgParameters.m_InputToInputWeights should not be null.&quot;</span>);</div>
1057<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; }</div>
1058<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; </div>
1059<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>)</div>
1060<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; {</div>
1061<div class="line"><a name="l00261"></a><span class="lineno"> 261</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;QLstmLayer: &quot;</span></div>
1062<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; <span class="stringliteral">&quot;m_CifgParameters.m_RecurrentToInputWeights should not be null.&quot;</span>);</div>
1063<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; }</div>
1064<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; </div>
1065<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>)</div>
1066<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; {</div>
1067<div class="line"><a name="l00267"></a><span class="lineno"> 267</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;QLstmLayer: &quot;</span></div>
1068<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <span class="stringliteral">&quot;m_CifgParameters.m_InputGateBias should not be null.&quot;</span>);</div>
1069<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; }</div>
1070<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; </div>
1071<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">&quot;QLstmLayer&quot;</span>);</div>
1072<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; }</div>
1073<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <span class="keywordflow">else</span></div>
1074<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; {</div>
1075<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>)</div>
1076<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; {</div>
1077<div class="line"><a name="l00277"></a><span class="lineno"> 277</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;QLstmLayer: &quot;</span></div>
1078<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; <span class="stringliteral">&quot;m_CifgParameters.m_InputToInputWeights &quot;</span></div>
1079<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <span class="stringliteral">&quot;should not have a value when CIFG is enabled.&quot;</span>);</div>
1080<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; }</div>
1081<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; </div>
1082<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>)</div>
1083<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; {</div>
1084<div class="line"><a name="l00284"></a><span class="lineno"> 284</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;QLstmLayer: &quot;</span></div>
1085<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; <span class="stringliteral">&quot;m_CifgParameters.m_RecurrentToInputWeights &quot;</span></div>
1086<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; <span class="stringliteral">&quot;should not have a value when CIFG is enabled.&quot;</span>);</div>
1087<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; }</div>
1088<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; </div>
1089<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>)</div>
1090<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; {</div>
1091<div class="line"><a name="l00291"></a><span class="lineno"> 291</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;QLstmLayer: &quot;</span></div>
1092<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <span class="stringliteral">&quot;m_CifgParameters.m_InputGateBias &quot;</span></div>
1093<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; <span class="stringliteral">&quot;should not have a value when CIFG is enabled.&quot;</span>);</div>
1094<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; }</div>
1095<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; </div>
1096<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">&quot;QLstmLayer&quot;</span>);</div>
1097<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; }</div>
1098<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; </div>
1099<div class="line"><a name="l00299"></a><span class="lineno"> 299</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_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div>
1100<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; {</div>
1101<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a>)</div>
1102<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; {</div>
1103<div class="line"><a name="l00303"></a><span class="lineno"> 303</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;QLstmLayer: &quot;</span></div>
1104<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; <span class="stringliteral">&quot;m_ProjectionParameters.m_ProjectionWeights should not be null.&quot;</span>);</div>
1105<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; }</div>
1106<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; }</div>
1107<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; </div>
1108<div class="line"><a name="l00308"></a><span class="lineno"> 308</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_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div>
1109<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; {</div>
1110<div class="line"><a name="l00310"></a><span class="lineno"> 310</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_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>) {</div>
1111<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a>)</div>
1112<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; {</div>
1113<div class="line"><a name="l00313"></a><span class="lineno"> 313</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;QLstmLayer: &quot;</span></div>
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1115<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; <span class="stringliteral">&quot;when Peephole is enabled and CIFG is disabled.&quot;</span>);</div>
1116<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; }</div>
1117<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; }</div>
1118<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; </div>
1119<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a>)</div>
1120<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; {</div>
1121<div class="line"><a name="l00321"></a><span class="lineno"> 321</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;QLstmLayer: &quot;</span></div>
1122<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; <span class="stringliteral">&quot;m_PeepholeParameters.m_CellToForgetWeights should not be null.&quot;</span>);</div>
1123<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; }</div>
1124<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; </div>
1125<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a>)</div>
1126<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; {</div>
1127<div class="line"><a name="l00327"></a><span class="lineno"> 327</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;QLstmLayer: &quot;</span></div>
1128<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; <span class="stringliteral">&quot;m_PeepholeParameters.m_CellToOutputWeights should not be null.&quot;</span>);</div>
1129<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; }</div>
1130<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; }</div>
1131<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; </div>
1132<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(</div>
1133<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(1).<a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetShape(), inferredShapes[1], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">&quot;QLstmLayer&quot;</span>, 1);</div>
1134<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(</div>
1135<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(2).<a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetShape(), inferredShapes[2], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">&quot;QLstmLayer&quot;</span>, 2);</div>
1136<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; </div>
1137<div class="line"><a name="l00337"></a><span class="lineno"> 337</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_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div>
1138<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; {</div>
1139<div class="line"><a name="l00339"></a><span class="lineno"> 339</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_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
1140<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; {</div>
1141<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a>)</div>
1142<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; {</div>
1143<div class="line"><a name="l00343"></a><span class="lineno"> 343</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;QLstmLayer: m_LayerNormParameters.m_InputLayerNormWeights &quot;</span></div>
1144<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; <span class="stringliteral">&quot;should not be null.&quot;</span>);</div>
1145<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; }</div>
1146<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; }</div>
1147<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; </div>
1148<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a>)</div>
1149<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; {</div>
1150<div class="line"><a name="l00350"></a><span class="lineno"> 350</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;QLstmLayer: &quot;</span></div>
1151<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; <span class="stringliteral">&quot;m_LayerNormParameters.m_ForgetLayerNormWeights should not be null.&quot;</span>);</div>
1152<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; }</div>
1153<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; </div>
1154<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a>)</div>
1155<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; {</div>
1156<div class="line"><a name="l00356"></a><span class="lineno"> 356</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;QLstmLayer: &quot;</span></div>
1157<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; <span class="stringliteral">&quot;m_LayerNormParameters.m_CellLayerNormWeights should not be null.&quot;</span>);</div>
1158<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; }</div>
1159<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; </div>
1160<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a>)</div>
1161<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; {</div>
1162<div class="line"><a name="l00362"></a><span class="lineno"> 362</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;QLstmLayer: &quot;</span></div>
1163<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; <span class="stringliteral">&quot;m_LayerNormParameters.m_UutputLayerNormWeights should not be null.&quot;</span>);</div>
1164<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; }</div>
1165<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; }</div>
1166<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160;}</div>
1167</div><!-- fragment -->
1168<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="_ref_workload_utils_8hpp_source.html#l00033">armnn::GetTensorInfo()</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="_q_lstm_layer_8cpp_source.html#l00153">QLstmLayer::InferOutputShapes()</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00083">QLstmLayer::m_BasicParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00033">QLstmBasicParameters::m_CellBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00051">QLstmOptPeepholeParameters::m_CellToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00049">QLstmOptPeepholeParameters::m_CellToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00053">QLstmOptPeepholeParameters::m_CellToOutputWeights</a>, <a class="el" href="_descriptors_8hpp_source.html#l01418">QLstmDescriptor::m_CifgEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00084">QLstmLayer::m_CifgParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00031">QLstmBasicParameters::m_ForgetGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00063">QLstmOptCifgParameters::m_InputGateBias</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00019">QLstmBasicParameters::m_InputToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00017">QLstmBasicParameters::m_InputToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00059">QLstmOptCifgParameters::m_InputToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00021">QLstmBasicParameters::m_InputToOutputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00035">QLstmBasicParameters::m_OutputGateBias</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters&lt; QLstmDescriptor &gt;::m_Param</a>, <a class="el" href="_descriptors_8hpp_source.html#l01420">QLstmDescriptor::m_PeepholeEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00086">QLstmLayer::m_PeepholeParameters</a>, <a class="el" href="_descriptors_8hpp_source.html#l01422">QLstmDescriptor::m_ProjectionEnabled</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00085">QLstmLayer::m_ProjectionParameters</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00041">QLstmOptProjectionParameters::m_ProjectionWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00026">QLstmBasicParameters::m_RecurrentToCellWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00024">QLstmBasicParameters::m_RecurrentToForgetWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00061">QLstmOptCifgParameters::m_RecurrentToInputWeights</a>, <a class="el" href="_q_lstm_layer_8hpp_source.html#l00028">QLstmBasicParameters::m_RecurrentToOutputWeights</a>, <a class="el" href="_layer_8hpp_source.html#l00441">Layer::m_ShapeInferenceMethod</a>, <a class="el" href="_layer_8cpp_source.html#l00457">Layer::ValidateAndCopyShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00410">Layer::VerifyLayerConnections()</a>, and <a class="el" href="_layer_8cpp_source.html#l00526">Layer::VerifyShapeInferenceType()</a>.</p>
1169
1170</div>
1171</div>
1172<h2 class="groupheader">Member Data Documentation</h2>
1173<a id="aada2b9060461ecf785d483eee0dc071a"></a>
1174<h2 class="memtitle"><span class="permalink"><a href="#aada2b9060461ecf785d483eee0dc071a">&#9670;&nbsp;</a></span>m_BasicParameters</h2>
1175
1176<div class="memitem">
1177<div class="memproto">
1178 <table class="memname">
1179 <tr>
1180 <td class="memname"><a class="el" href="structarmnn_1_1_q_lstm_basic_parameters.html">QLstmBasicParameters</a> m_BasicParameters</td>
1181 </tr>
1182 </table>
1183</div><div class="memdoc">
1184
1185<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8hpp_source.html#l00083">83</a> of file <a class="el" href="_q_lstm_layer_8hpp_source.html">QLstmLayer.hpp</a>.</p>
1186
1187<p class="reference">Referenced by <a class="el" href="_network_8cpp_source.html#l02758">NetworkImpl::AddQLstmLayer()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00081">QLstmLayer::Clone()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00022">QLstmLayer::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00403">QLstmLayer::ExecuteStrategy()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00368">QLstmLayer::GetConstantTensorsByRef()</a>, and <a class="el" href="_q_lstm_layer_8cpp_source.html#l00174">QLstmLayer::ValidateTensorShapesFromInputs()</a>.</p>
1188
1189</div>
1190</div>
1191<a id="af53c478cc73821d29a83100b69de84c3"></a>
1192<h2 class="memtitle"><span class="permalink"><a href="#af53c478cc73821d29a83100b69de84c3">&#9670;&nbsp;</a></span>m_CifgParameters</h2>
1193
1194<div class="memitem">
1195<div class="memproto">
1196 <table class="memname">
1197 <tr>
1198 <td class="memname"><a class="el" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html">QLstmOptCifgParameters</a> m_CifgParameters</td>
1199 </tr>
1200 </table>
1201</div><div class="memdoc">
1202
1203<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8hpp_source.html#l00084">84</a> of file <a class="el" href="_q_lstm_layer_8hpp_source.html">QLstmLayer.hpp</a>.</p>
1204
1205<p class="reference">Referenced by <a class="el" href="_q_lstm_layer_8cpp_source.html#l00081">QLstmLayer::Clone()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00022">QLstmLayer::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00403">QLstmLayer::ExecuteStrategy()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00368">QLstmLayer::GetConstantTensorsByRef()</a>, and <a class="el" href="_q_lstm_layer_8cpp_source.html#l00174">QLstmLayer::ValidateTensorShapesFromInputs()</a>.</p>
1206
1207</div>
1208</div>
1209<a id="ab43a687e3d705b3b0414d6fedb869e9d"></a>
1210<h2 class="memtitle"><span class="permalink"><a href="#ab43a687e3d705b3b0414d6fedb869e9d">&#9670;&nbsp;</a></span>m_LayerNormParameters</h2>
1211
1212<div class="memitem">
1213<div class="memproto">
1214 <table class="memname">
1215 <tr>
1216 <td class="memname"><a class="el" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html">QLstmOptLayerNormParameters</a> m_LayerNormParameters</td>
1217 </tr>
1218 </table>
1219</div><div class="memdoc">
1220
1221<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8hpp_source.html#l00087">87</a> of file <a class="el" href="_q_lstm_layer_8hpp_source.html">QLstmLayer.hpp</a>.</p>
1222
1223<p class="reference">Referenced by <a class="el" href="_q_lstm_layer_8cpp_source.html#l00081">QLstmLayer::Clone()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00022">QLstmLayer::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00403">QLstmLayer::ExecuteStrategy()</a>, and <a class="el" href="_q_lstm_layer_8cpp_source.html#l00368">QLstmLayer::GetConstantTensorsByRef()</a>.</p>
1224
1225</div>
1226</div>
1227<a id="a4855b2b34766d4972a999e324ab88ee5"></a>
1228<h2 class="memtitle"><span class="permalink"><a href="#a4855b2b34766d4972a999e324ab88ee5">&#9670;&nbsp;</a></span>m_PeepholeParameters</h2>
1229
1230<div class="memitem">
1231<div class="memproto">
1232 <table class="memname">
1233 <tr>
1234 <td class="memname"><a class="el" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html">QLstmOptPeepholeParameters</a> m_PeepholeParameters</td>
1235 </tr>
1236 </table>
1237</div><div class="memdoc">
1238
1239<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8hpp_source.html#l00086">86</a> of file <a class="el" href="_q_lstm_layer_8hpp_source.html">QLstmLayer.hpp</a>.</p>
1240
1241<p class="reference">Referenced by <a class="el" href="_q_lstm_layer_8cpp_source.html#l00081">QLstmLayer::Clone()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00022">QLstmLayer::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00403">QLstmLayer::ExecuteStrategy()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00368">QLstmLayer::GetConstantTensorsByRef()</a>, and <a class="el" href="_q_lstm_layer_8cpp_source.html#l00174">QLstmLayer::ValidateTensorShapesFromInputs()</a>.</p>
1242
1243</div>
1244</div>
1245<a id="a3cbbd914f0d16664e785e30ffbe0dbf3"></a>
1246<h2 class="memtitle"><span class="permalink"><a href="#a3cbbd914f0d16664e785e30ffbe0dbf3">&#9670;&nbsp;</a></span>m_ProjectionParameters</h2>
1247
1248<div class="memitem">
1249<div class="memproto">
1250 <table class="memname">
1251 <tr>
1252 <td class="memname"><a class="el" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html">QLstmOptProjectionParameters</a> m_ProjectionParameters</td>
1253 </tr>
1254 </table>
1255</div><div class="memdoc">
1256
1257<p class="definition">Definition at line <a class="el" href="_q_lstm_layer_8hpp_source.html#l00085">85</a> of file <a class="el" href="_q_lstm_layer_8hpp_source.html">QLstmLayer.hpp</a>.</p>
1258
1259<p class="reference">Referenced by <a class="el" href="_q_lstm_layer_8cpp_source.html#l00081">QLstmLayer::Clone()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00022">QLstmLayer::CreateWorkload()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00403">QLstmLayer::ExecuteStrategy()</a>, <a class="el" href="_q_lstm_layer_8cpp_source.html#l00368">QLstmLayer::GetConstantTensorsByRef()</a>, and <a class="el" href="_q_lstm_layer_8cpp_source.html#l00174">QLstmLayer::ValidateTensorShapesFromInputs()</a>.</p>
1260
1261</div>
1262</div>
1263<hr/>The documentation for this class was generated from the following files:<ul>
1264<li>src/armnn/layers/<a class="el" href="_q_lstm_layer_8hpp_source.html">QLstmLayer.hpp</a></li>
1265<li>src/armnn/layers/<a class="el" href="_q_lstm_layer_8cpp_source.html">QLstmLayer.cpp</a></li>
1266</ul>
1267</div><!-- contents -->
1268</div><!-- doc-content -->
1269<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_af53c478cc73821d29a83100b69de84c3"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">armnn::QLstmLayer::m_CifgParameters</a></div><div class="ttdeci">QLstmOptCifgParameters m_CifgParameters</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00084">QLstmLayer.hpp:84</a></div></div>
1270<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_peephole_parameters_html_a0ccce0cf0ae71e89b20dfa48645494c8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">armnn::QLstmOptPeepholeParameters::m_CellToForgetWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_CellToForgetWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00051">QLstmLayer.hpp:51</a></div></div>
1271<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_af7f44bcc5b6cf669268a9ac0ff1446be"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">armnn::QLstmBasicParameters::m_ForgetGateBias</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_ForgetGateBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [num_units] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00031">QLstmLayer.hpp:31</a></div></div>
1272<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">armnn::QLstmDescriptor::m_ProjectionEnabled</a></div><div class="ttdeci">bool m_ProjectionEnabled</div><div class="ttdoc">Enable/disable the projection layer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01422">Descriptors.hpp:1422</a></div></div>
1273<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>
1274<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_layer_norm_parameters_html_af03d5f9789e673011a9fa19a699530db"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">armnn::QLstmOptLayerNormParameters::m_ForgetLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_ForgetLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00071">QLstmLayer.hpp:71</a></div></div>
1275<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>
1276<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_peephole_parameters_html_aeff3e3b8715c568fdff74a25ec40facb"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">armnn::QLstmOptPeepholeParameters::m_CellToOutputWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_CellToOutputWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00053">QLstmLayer.hpp:53</a></div></div>
1277<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>
1278<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_layer_norm_parameters_html_a9c441c2706cbd0e925c02cdcb8916669"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">armnn::QLstmOptLayerNormParameters::m_OutputLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_OutputLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00075">QLstmLayer.hpp:75</a></div></div>
1279<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>
1280<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>
1281<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; QLstmDescriptor &gt;::GetParameters</a></div><div class="ttdeci">const QLstmDescriptor &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>
1282<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_projection_parameters_html_aa8f5cf5d5130fefb77d2327dca341591"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">armnn::QLstmOptProjectionParameters::m_ProjectionWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_ProjectionWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00041">QLstmLayer.hpp:41</a></div></div>
1283<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>
1284<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_layer_norm_parameters_html_a1f9668b1a4c275966aadeec9a4c11347"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">armnn::QLstmOptLayerNormParameters::m_CellLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_CellLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00073">QLstmLayer.hpp:73</a></div></div>
1285<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>
1286<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; QLstmDescriptor &gt;::m_Param</a></div><div class="ttdeci">QLstmDescriptor 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>
1287<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_peephole_parameters_html_a9eb0e6bb91acbf59117a1460ce1dfd29"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">armnn::QLstmOptPeepholeParameters::m_CellToInputWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_CellToInputWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00049">QLstmLayer.hpp:49</a></div></div>
1288<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; QLstmDescriptor &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>
1289<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>
1290<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_cifg_parameters_html_addfb6b081817510deb924c8fb5ce216c"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">armnn::QLstmOptCifgParameters::m_RecurrentToInputWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_RecurrentToInputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00061">QLstmLayer.hpp:61</a></div></div>
1291<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>
1292<div class="ttc" id="anamespacearmnn_html_aa815fde54f6d8e8aa5b4f0301cf4178b"><div class="ttname"><a href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00033">RefWorkloadUtils.hpp:33</a></div></div>
1293<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>
1294<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>
1295<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_cifg_parameters_html_a85684ffb2d12d0d04fbd188591488a2c"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">armnn::QLstmOptCifgParameters::m_InputGateBias</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_InputGateBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00063">QLstmLayer.hpp:63</a></div></div>
1296<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_layer_norm_parameters_html_a47786528c742271a3937535426934219"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">armnn::QLstmOptLayerNormParameters::m_InputLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_InputLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00069">QLstmLayer.hpp:69</a></div></div>
1297<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_ab43a687e3d705b3b0414d6fedb869e9d"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">armnn::QLstmLayer::m_LayerNormParameters</a></div><div class="ttdeci">QLstmOptLayerNormParameters m_LayerNormParameters</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00087">QLstmLayer.hpp:87</a></div></div>
1298<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_addad136e04521a1d31cbebf7280c312e"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">armnn::QLstmBasicParameters::m_RecurrentToOutputWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_RecurrentToOutputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [num_units, outputSize] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00028">QLstmLayer.hpp:28</a></div></div>
1299<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_a4855b2b34766d4972a999e324ab88ee5"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">armnn::QLstmLayer::m_PeepholeParameters</a></div><div class="ttdeci">QLstmOptPeepholeParameters m_PeepholeParameters</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00086">QLstmLayer.hpp:86</a></div></div>
1300<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>
1301<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_a21a90800797f1e122bc44d7022001558"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">armnn::QLstmBasicParameters::m_CellBias</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_CellBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [num_units] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00033">QLstmLayer.hpp:33</a></div></div>
1302<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_a950c538e326db48f4c26a354c2b982e3"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">armnn::QLstmBasicParameters::m_OutputGateBias</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_OutputGateBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [num_units] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00035">QLstmLayer.hpp:35</a></div></div>
1303<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_a608ed1a3d4135921ce33a286a87a072b"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">armnn::QLstmBasicParameters::m_RecurrentToCellWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_RecurrentToCellWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [num_units, outputSize] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00026">QLstmLayer.hpp:26</a></div></div>
1304<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::QLstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable CIFG (coupled input &amp; forget gate).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01418">Descriptors.hpp:1418</a></div></div>
1305<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_cifg_parameters_html_a281954ff495d27f7a29e42a98768c670"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">armnn::QLstmOptCifgParameters::m_InputToInputWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_InputToInputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00059">QLstmLayer.hpp:59</a></div></div>
1306<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_a3cbbd914f0d16664e785e30ffbe0dbf3"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">armnn::QLstmLayer::m_ProjectionParameters</a></div><div class="ttdeci">QLstmOptProjectionParameters m_ProjectionParameters</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00085">QLstmLayer.hpp:85</a></div></div>
1307<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#a65ca562c882ad619684445a1402f415a">armnn::QLstmLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector&lt; TensorShape &gt; InferOutputShapes(const std::vector&lt; TensorShape &gt; &amp;inputShapes) const override</div><div class="ttdoc">By default returns inputShapes if the number of inputs are equal to number of outputs,...</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8cpp_source.html#l00153">QLstmLayer.cpp:153</a></div></div>
1308<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>
1309<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_a1dd41cd674924907643cb088070a65d3"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">armnn::QLstmBasicParameters::m_RecurrentToForgetWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_RecurrentToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [num_units, outputSize] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00024">QLstmLayer.hpp:24</a></div></div>
1310<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">armnn::QLstmDescriptor::m_LayerNormEnabled</a></div><div class="ttdeci">bool m_LayerNormEnabled</div><div class="ttdoc">Enable/disable layer normalization.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01424">Descriptors.hpp:1424</a></div></div>
1311<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_projection_parameters_html_aa840abfe1cb869bce3d6daaebd2e86a7"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">armnn::QLstmOptProjectionParameters::m_ProjectionBias</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_ProjectionBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [output_size] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00043">QLstmLayer.hpp:43</a></div></div>
1312<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; QLstmDescriptor &gt;::LayerWithParameters</a></div><div class="ttdeci">LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const QLstmDescriptor &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>
1313<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_aada2b9060461ecf785d483eee0dc071a"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">armnn::QLstmLayer::m_BasicParameters</a></div><div class="ttdeci">QLstmBasicParameters m_BasicParameters</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00083">QLstmLayer.hpp:83</a></div></div>
1314<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>
1315<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_a3d4f6f42e10ba6f808a5244bb7853e7e"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">armnn::QLstmBasicParameters::m_InputToOutputWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_InputToOutputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00021">QLstmLayer.hpp:21</a></div></div>
1316<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">armnn::QLstmDescriptor::m_PeepholeEnabled</a></div><div class="ttdeci">bool m_PeepholeEnabled</div><div class="ttdoc">Enable/disable peephole.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01420">Descriptors.hpp:1420</a></div></div>
1317<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::LayerType::QLstm</a></div><div class="ttdeci">@ QLstm</div></div>
1318<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_aafad117fb253359c1d472c9faefe49ef"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">armnn::QLstmBasicParameters::m_InputToForgetWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_InputToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00017">QLstmLayer.hpp:17</a></div></div>
1319<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_ad3f42762262330534a4be0dde29a1318"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">armnn::QLstmBasicParameters::m_InputToCellWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_InputToCellWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00019">QLstmLayer.hpp:19</a></div></div>
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