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review.mlplatform.org / ml / armnn / f060b2e5ad65554cc8b567fb016bbaf57f6aca05 / . / Documentation / structarmnn_1_1_lstm_queue_descriptor.xhtml
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Ryan OSheade36e4a2020-03-13 16:26:19 +0000[diff] [blame]1<!-- Copyright (c) 2020 ARM Limited. -->
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98<a href="#pub-methods">Public Member Functions</a> &#124;
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100<a href="structarmnn_1_1_lstm_queue_descriptor-members.xhtml">List of all members</a> </div>
101 <div class="headertitle">
102<div class="title">LstmQueueDescriptor Struct Reference</div> </div>
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105
106<p><code>#include &lt;<a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>&gt;</code></p>
107<div class="dynheader">
108Inheritance diagram for LstmQueueDescriptor:</div>
109<div class="dyncontent">
110 <div class="center">
111 <img src="structarmnn_1_1_lstm_queue_descriptor.png" usemap="#LstmQueueDescriptor_map" alt=""/>
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113<area href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml" alt="QueueDescriptorWithParameters&lt; LstmDescriptor &gt;" shape="rect" coords="0,56,305,80"/>
114<area href="structarmnn_1_1_queue_descriptor.xhtml" alt="QueueDescriptor" shape="rect" coords="0,0,305,24"/>
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119Public Member Functions</h2></td></tr>
120<tr class="memitem:a1f701da89f9eeded946647212e5eebc9"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a1f701da89f9eeded946647212e5eebc9">LstmQueueDescriptor</a> ()</td></tr>
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122<tr class="memitem:a041e495449e22774a34d92b0904c10bf"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a041e495449e22774a34d92b0904c10bf">Validate</a> (const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &amp;workloadInfo) const</td></tr>
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125<tr class="memitem:a765d2cee4ccce5b9467e0c2b6d25b84a inherit pub_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a> (const std::string &amp;descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</td></tr>
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129Public Attributes</h2></td></tr>
130<tr class="memitem:a08a1932be591c315a512a877d38b22df"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">m_InputToInputWeights</a></td></tr>
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171<tr class="separator:aa3f07e27230d6d99adc2c82ba681df2b"><td class="memSeparator" colspan="2">&#160;</td></tr>
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176<tr class="memitem:a4b50e46a6810018f3edecfb68b2a76b3 inherit pub_attribs_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> * &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a></td></tr>
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180</table><table class="memberdecls">
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182Additional Inherited Members</h2></td></tr>
183<tr class="inherit_header pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_structarmnn_1_1_queue_descriptor_with_parameters')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml">QueueDescriptorWithParameters&lt; LstmDescriptor &gt;</a></td></tr>
184<tr class="memitem:a52679b441422256016dc6f5b5e9193d5 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#a52679b441422256016dc6f5b5e9193d5">~QueueDescriptorWithParameters</a> ()=default</td></tr>
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186<tr class="memitem:a6f269eb32757efa5b203091c52e985fd inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#a6f269eb32757efa5b203091c52e985fd">QueueDescriptorWithParameters</a> ()=default</td></tr>
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188<tr class="memitem:a6cbdcaa9cab857077a3810788e2cf489 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#a6cbdcaa9cab857077a3810788e2cf489">QueueDescriptorWithParameters</a> (<a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml">QueueDescriptorWithParameters</a> const &amp;)=default</td></tr>
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190<tr class="memitem:aa86bd03df9faf133a34e263f16486707 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml">QueueDescriptorWithParameters</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aa86bd03df9faf133a34e263f16486707">operator=</a> (<a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml">QueueDescriptorWithParameters</a> const &amp;)=default</td></tr>
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192<tr class="inherit_header pro_methods_structarmnn_1_1_queue_descriptor"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_structarmnn_1_1_queue_descriptor')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a></td></tr>
193<tr class="memitem:af67c3785421c91d37fb22132d441f704 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#af67c3785421c91d37fb22132d441f704">~QueueDescriptor</a> ()=default</td></tr>
194<tr class="separator:af67c3785421c91d37fb22132d441f704 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2">&#160;</td></tr>
195<tr class="memitem:a40f14131fbead7c8eaf32b67eedd9e01 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a40f14131fbead7c8eaf32b67eedd9e01">QueueDescriptor</a> ()=default</td></tr>
196<tr class="separator:a40f14131fbead7c8eaf32b67eedd9e01 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2">&#160;</td></tr>
197<tr class="memitem:a75d3b85e1e50b1dff74ee84a593d089e inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a75d3b85e1e50b1dff74ee84a593d089e">QueueDescriptor</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> const &amp;)=default</td></tr>
198<tr class="separator:a75d3b85e1e50b1dff74ee84a593d089e inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2">&#160;</td></tr>
199<tr class="memitem:a1c928b975a0de05cf2536c721ba6b521 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a1c928b975a0de05cf2536c721ba6b521">operator=</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> const &amp;)=default</td></tr>
200<tr class="separator:a1c928b975a0de05cf2536c721ba6b521 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2">&#160;</td></tr>
201</table>
202<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
203<div class="textblock">
204<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00358">358</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
205</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
206<a id="a1f701da89f9eeded946647212e5eebc9"></a>
207<h2 class="memtitle"><span class="permalink"><a href="#a1f701da89f9eeded946647212e5eebc9">&#9670;&nbsp;</a></span>LstmQueueDescriptor()</h2>
208
209<div class="memitem">
210<div class="memproto">
211<table class="mlabels">
212 <tr>
213 <td class="mlabels-left">
214 <table class="memname">
215 <tr>
216 <td class="memname"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml">LstmQueueDescriptor</a> </td>
217 <td>(</td>
218 <td class="paramname"></td><td>)</td>
219 <td></td>
220 </tr>
221 </table>
222 </td>
223 <td class="mlabels-right">
224<span class="mlabels"><span class="mlabel">inline</span></span> </td>
225 </tr>
226</table>
227</div><div class="memdoc">
228
229<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00360">360</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
230<div class="fragment"><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; : <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">m_InputToInputWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">m_InputToForgetWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">m_InputToCellWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">m_InputToOutputWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">m_RecurrentToInputWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">m_RecurrentToForgetWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">m_RecurrentToCellWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">m_RecurrentToOutputWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a5c1c0a7ead7273788976c9e97cffaab7">m_CellToInputWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acefa49d7faf26933e27e473e7bdb4175">m_CellToForgetWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a6f74071b0e07bbe2cb20a8f78826e084">m_CellToOutputWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">m_InputGateBias</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">m_ForgetGateBias</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">m_CellBias</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">m_OutputGateBias</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">m_ProjectionWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">m_ProjectionBias</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">m_InputLayerNormWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">m_ForgetLayerNormWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">m_CellLayerNormWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">m_OutputLayerNormWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160; {</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; }</div><div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a45d73e66cbb2b65049e4016c20657ccf"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">armnn::LstmQueueDescriptor::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00390">WorkloadData.hpp:390</a></div></div>
231<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a6f74071b0e07bbe2cb20a8f78826e084"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a6f74071b0e07bbe2cb20a8f78826e084">armnn::LstmQueueDescriptor::m_CellToOutputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00395">WorkloadData.hpp:395</a></div></div>
232<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a28ad98d17603fd8b12e046f8ece58970"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">armnn::LstmQueueDescriptor::m_InputToCellWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00387">WorkloadData.hpp:387</a></div></div>
233<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a83dc9086b2e4a4e4cadb66bd874df798"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">armnn::LstmQueueDescriptor::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00388">WorkloadData.hpp:388</a></div></div>
234<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a2ba352eb1fdf6dc5ecf7f2e6b6b48f94"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">armnn::LstmQueueDescriptor::m_ProjectionBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ProjectionBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00401">WorkloadData.hpp:401</a></div></div>
235<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a332551528a4b3534c2d6c89ce816fcd9"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">armnn::LstmQueueDescriptor::m_OutputGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00399">WorkloadData.hpp:399</a></div></div>
236<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a5c1c0a7ead7273788976c9e97cffaab7"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a5c1c0a7ead7273788976c9e97cffaab7">armnn::LstmQueueDescriptor::m_CellToInputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00393">WorkloadData.hpp:393</a></div></div>
237<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a518f0195d0278a892b49649b8860d17f"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">armnn::LstmQueueDescriptor::m_CellLayerNormWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00404">WorkloadData.hpp:404</a></div></div>
238<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_acefa49d7faf26933e27e473e7bdb4175"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acefa49d7faf26933e27e473e7bdb4175">armnn::LstmQueueDescriptor::m_CellToForgetWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00394">WorkloadData.hpp:394</a></div></div>
239<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a75980b5795efd899a0c678a06a900c6d"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">armnn::LstmQueueDescriptor::m_CellBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00398">WorkloadData.hpp:398</a></div></div>
240<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a98d377149071d8842d610cc0734d1cfe"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">armnn::LstmQueueDescriptor::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00389">WorkloadData.hpp:389</a></div></div>
241<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a9cc28aa4fff6ba9a8abdb340c1abdd57"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">armnn::LstmQueueDescriptor::m_InputLayerNormWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00402">WorkloadData.hpp:402</a></div></div>
242<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_aa3f07e27230d6d99adc2c82ba681df2b"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">armnn::LstmQueueDescriptor::m_OutputLayerNormWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_OutputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00405">WorkloadData.hpp:405</a></div></div>
243<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_aba3ffe91d818266b8785ce971548eb59"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">armnn::LstmQueueDescriptor::m_ForgetGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00397">WorkloadData.hpp:397</a></div></div>
244<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a08a1932be591c315a512a877d38b22df"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">armnn::LstmQueueDescriptor::m_InputToInputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00385">WorkloadData.hpp:385</a></div></div>
245<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_adebc1771e5a1f4b113a7aa594ea74d2c"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">armnn::LstmQueueDescriptor::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00392">WorkloadData.hpp:392</a></div></div>
246<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a453a4af385d0c060c9aac990fceaa1ef"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">armnn::LstmQueueDescriptor::m_ForgetLayerNormWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ForgetLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00403">WorkloadData.hpp:403</a></div></div>
247<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_acb3aade8fae984f7293e222dcbe66030"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">armnn::LstmQueueDescriptor::m_InputGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00396">WorkloadData.hpp:396</a></div></div>
248<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_aea142bd50ffb93631c2e08324ec92a1e"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">armnn::LstmQueueDescriptor::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00391">WorkloadData.hpp:391</a></div></div>
249<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_af3c52626a6f05597d82ed095d0765962"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">armnn::LstmQueueDescriptor::m_ProjectionWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ProjectionWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00400">WorkloadData.hpp:400</a></div></div>
250<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a3ea82566d98c5a657c76c3d851c47848"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">armnn::LstmQueueDescriptor::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00386">WorkloadData.hpp:386</a></div></div>
251</div><!-- fragment -->
252</div>
253</div>
254<h2 class="groupheader">Member Function Documentation</h2>
255<a id="a041e495449e22774a34d92b0904c10bf"></a>
256<h2 class="memtitle"><span class="permalink"><a href="#a041e495449e22774a34d92b0904c10bf">&#9670;&nbsp;</a></span>Validate()</h2>
257
258<div class="memitem">
259<div class="memproto">
260 <table class="memname">
261 <tr>
262 <td class="memname">void Validate </td>
263 <td>(</td>
264 <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &amp;&#160;</td>
265 <td class="paramname"><em>workloadInfo</em></td><td>)</td>
266 <td> const</td>
267 </tr>
268 </table>
269</div><div class="memdoc">
270
271<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.xhtml#l01747">1747</a> of file <a class="el" href="_workload_data_8cpp_source.xhtml">WorkloadData.cpp</a>.</p>
272
273<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00018">WorkloadInfo::m_InputTensorInfos</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00019">WorkloadInfo::m_OutputTensorInfos</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
274<div class="fragment"><div class="line"><a name="l01748"></a><span class="lineno"> 1748</span>&#160;{</div><div class="line"><a name="l01749"></a><span class="lineno"> 1749</span>&#160; <span class="comment">// ported from android/ml/nn/common/operations/LSTM.cpp CheckInputTensorDimensions()</span></div><div class="line"><a name="l01750"></a><span class="lineno"> 1750</span>&#160;</div><div class="line"><a name="l01751"></a><span class="lineno"> 1751</span>&#160; <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">&quot;LstmQueueDescriptor&quot;</span>};</div><div class="line"><a name="l01752"></a><span class="lineno"> 1752</span>&#160;</div><div class="line"><a name="l01753"></a><span class="lineno"> 1753</span>&#160; <span class="comment">// check dimensions of all inputs and outputs</span></div><div class="line"><a name="l01754"></a><span class="lineno"> 1754</span>&#160; <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size() != 3)</div><div class="line"><a name="l01755"></a><span class="lineno"> 1755</span>&#160; {</div><div class="line"><a name="l01756"></a><span class="lineno"> 1756</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: Invalid number of inputs.&quot;</span>);</div><div class="line"><a name="l01757"></a><span class="lineno"> 1757</span>&#160; }</div><div class="line"><a name="l01758"></a><span class="lineno"> 1758</span>&#160; <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size() != 4)</div><div class="line"><a name="l01759"></a><span class="lineno"> 1759</span>&#160; {</div><div class="line"><a name="l01760"></a><span class="lineno"> 1760</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: Invalid number of outputs.&quot;</span>);</div><div class="line"><a name="l01761"></a><span class="lineno"> 1761</span>&#160; }</div><div class="line"><a name="l01762"></a><span class="lineno"> 1762</span>&#160;</div><div class="line"><a name="l01763"></a><span class="lineno"> 1763</span>&#160; std::vector&lt;DataType&gt; supportedTypes =</div><div class="line"><a name="l01764"></a><span class="lineno"> 1764</span>&#160; {</div><div class="line"><a name="l01765"></a><span class="lineno"> 1765</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01766"></a><span class="lineno"> 1766</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01767"></a><span class="lineno"> 1767</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01768"></a><span class="lineno"> 1768</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l01769"></a><span class="lineno"> 1769</span>&#160; };</div><div class="line"><a name="l01770"></a><span class="lineno"> 1770</span>&#160;</div><div class="line"><a name="l01771"></a><span class="lineno"> 1771</span>&#160; <span class="comment">// check for supported type of one input and match them with all the other input and output</span></div><div class="line"><a name="l01772"></a><span class="lineno"> 1772</span>&#160; ValidateDataTypes(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0], supportedTypes, descriptorName);</div><div class="line"><a name="l01773"></a><span class="lineno"> 1773</span>&#160;</div><div class="line"><a name="l01774"></a><span class="lineno"> 1774</span>&#160; <span class="comment">// type matches all other inputs</span></div><div class="line"><a name="l01775"></a><span class="lineno"> 1775</span>&#160; <span class="keywordflow">for</span> (uint32_t i = 1u; i &lt; workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size(); ++i)</div><div class="line"><a name="l01776"></a><span class="lineno"> 1776</span>&#160; {</div><div class="line"><a name="l01777"></a><span class="lineno"> 1777</span>&#160; ValidateTensorDataTypesMatch(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0],</div><div class="line"><a name="l01778"></a><span class="lineno"> 1778</span>&#160; workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[i],</div><div class="line"><a name="l01779"></a><span class="lineno"> 1779</span>&#160; descriptorName,</div><div class="line"><a name="l01780"></a><span class="lineno"> 1780</span>&#160; <span class="stringliteral">&quot;input_0&quot;</span>,</div><div class="line"><a name="l01781"></a><span class="lineno"> 1781</span>&#160; <span class="stringliteral">&quot;input_&quot;</span> + std::to_string(i));</div><div class="line"><a name="l01782"></a><span class="lineno"> 1782</span>&#160; }</div><div class="line"><a name="l01783"></a><span class="lineno"> 1783</span>&#160; <span class="comment">// type matches all other outputs</span></div><div class="line"><a name="l01784"></a><span class="lineno"> 1784</span>&#160; <span class="keywordflow">for</span> (uint32_t i = 0u; i &lt; workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size(); ++i)</div><div class="line"><a name="l01785"></a><span class="lineno"> 1785</span>&#160; {</div><div class="line"><a name="l01786"></a><span class="lineno"> 1786</span>&#160; ValidateTensorDataTypesMatch(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0],</div><div class="line"><a name="l01787"></a><span class="lineno"> 1787</span>&#160; workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[i],</div><div class="line"><a name="l01788"></a><span class="lineno"> 1788</span>&#160; <span class="stringliteral">&quot;LstmQueueDescriptor&quot;</span>,</div><div class="line"><a name="l01789"></a><span class="lineno"> 1789</span>&#160; <span class="stringliteral">&quot;input_0&quot;</span>,</div><div class="line"><a name="l01790"></a><span class="lineno"> 1790</span>&#160; <span class="stringliteral">&quot;output_&quot;</span> + std::to_string(i));</div><div class="line"><a name="l01791"></a><span class="lineno"> 1791</span>&#160; }</div><div class="line"><a name="l01792"></a><span class="lineno"> 1792</span>&#160;</div><div class="line"><a name="l01793"></a><span class="lineno"> 1793</span>&#160; <span class="comment">// Making sure clipping parameters have valid values.</span></div><div class="line"><a name="l01794"></a><span class="lineno"> 1794</span>&#160; <span class="comment">// == 0 means no clipping</span></div><div class="line"><a name="l01795"></a><span class="lineno"> 1795</span>&#160; <span class="comment">// &gt; 0 means clipping</span></div><div class="line"><a name="l01796"></a><span class="lineno"> 1796</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">m_ClippingThresCell</a> &lt; 0.0f)</div><div class="line"><a name="l01797"></a><span class="lineno"> 1797</span>&#160; {</div><div class="line"><a name="l01798"></a><span class="lineno"> 1798</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: negative cell clipping threshold is invalid&quot;</span>);</div><div class="line"><a name="l01799"></a><span class="lineno"> 1799</span>&#160; }</div><div class="line"><a name="l01800"></a><span class="lineno"> 1800</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">m_ClippingThresProj</a> &lt; 0.0f)</div><div class="line"><a name="l01801"></a><span class="lineno"> 1801</span>&#160; {</div><div class="line"><a name="l01802"></a><span class="lineno"> 1802</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: negative projection clipping threshold is invalid&quot;</span>);</div><div class="line"><a name="l01803"></a><span class="lineno"> 1803</span>&#160; }</div><div class="line"><a name="l01804"></a><span class="lineno"> 1804</span>&#160;</div><div class="line"><a name="l01805"></a><span class="lineno"> 1805</span>&#160;</div><div class="line"><a name="l01806"></a><span class="lineno"> 1806</span>&#160; <span class="comment">// Inferring batch size, number of outputs and number of cells from the inputs.</span></div><div class="line"><a name="l01807"></a><span class="lineno"> 1807</span>&#160; <span class="keyword">const</span> uint32_t n_input = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape()[1];</div><div class="line"><a name="l01808"></a><span class="lineno"> 1808</span>&#160; <span class="keyword">const</span> uint32_t n_batch = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape()[0];</div><div class="line"><a name="l01809"></a><span class="lineno"> 1809</span>&#160; ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">m_InputToOutputWeights</a>, <span class="stringliteral">&quot;Null pointer check&quot;</span>, <span class="stringliteral">&quot;InputToOutputWeights&quot;</span>);</div><div class="line"><a name="l01810"></a><span class="lineno"> 1810</span>&#160; <span class="keyword">const</span> uint32_t n_cell = <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">m_InputToOutputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a8e8d2fbabcac19f9e12779080ddff54e">GetShape</a>()[0];</div><div class="line"><a name="l01811"></a><span class="lineno"> 1811</span>&#160; ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">m_RecurrentToOutputWeights</a>, <span class="stringliteral">&quot;Null pointer check&quot;</span>, <span class="stringliteral">&quot;RecurrentToOutputWeights&quot;</span>);</div><div class="line"><a name="l01812"></a><span class="lineno"> 1812</span>&#160; <span class="keyword">const</span> uint32_t n_output = <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">m_RecurrentToOutputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a8e8d2fbabcac19f9e12779080ddff54e">GetShape</a>()[1];</div><div class="line"><a name="l01813"></a><span class="lineno"> 1813</span>&#160;</div><div class="line"><a name="l01814"></a><span class="lineno"> 1814</span>&#160; <span class="comment">// input tensor</span></div><div class="line"><a name="l01815"></a><span class="lineno"> 1815</span>&#160; ValidateTensorNumDimNumElem(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0], 2, (n_batch * n_input),</div><div class="line"><a name="l01816"></a><span class="lineno"> 1816</span>&#160; descriptorName + <span class="stringliteral">&quot; input_0&quot;</span>);</div><div class="line"><a name="l01817"></a><span class="lineno"> 1817</span>&#160; <span class="comment">// outputStateInTensor</span></div><div class="line"><a name="l01818"></a><span class="lineno"> 1818</span>&#160; ValidateTensorNumDimNumElem(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1], 2, (n_batch * n_output),</div><div class="line"><a name="l01819"></a><span class="lineno"> 1819</span>&#160; descriptorName + <span class="stringliteral">&quot; input_1&quot;</span>);</div><div class="line"><a name="l01820"></a><span class="lineno"> 1820</span>&#160; <span class="comment">// outputStateInTensor</span></div><div class="line"><a name="l01821"></a><span class="lineno"> 1821</span>&#160; ValidateTensorNumDimNumElem(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[2], 2, (n_batch * n_cell),</div><div class="line"><a name="l01822"></a><span class="lineno"> 1822</span>&#160; descriptorName + <span class="stringliteral">&quot; input_2&quot;</span>);</div><div class="line"><a name="l01823"></a><span class="lineno"> 1823</span>&#160; <span class="comment">// scratchBufferTensor</span></div><div class="line"><a name="l01824"></a><span class="lineno"> 1824</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> scratchBufferSize = <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a> ? n_cell * 3 : n_cell * 4;</div><div class="line"><a name="l01825"></a><span class="lineno"> 1825</span>&#160; ValidateTensorNumDimNumElem(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0], 2, (n_batch * scratchBufferSize),</div><div class="line"><a name="l01826"></a><span class="lineno"> 1826</span>&#160; descriptorName + <span class="stringliteral">&quot; output_0&quot;</span>);</div><div class="line"><a name="l01827"></a><span class="lineno"> 1827</span>&#160; <span class="comment">// outputStateOutTensor</span></div><div class="line"><a name="l01828"></a><span class="lineno"> 1828</span>&#160; ValidateTensorNumDimNumElem(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[1], 2, (n_batch * n_output),</div><div class="line"><a name="l01829"></a><span class="lineno"> 1829</span>&#160; descriptorName + <span class="stringliteral">&quot; output_1&quot;</span>);</div><div class="line"><a name="l01830"></a><span class="lineno"> 1830</span>&#160; <span class="comment">// cellStateOutTensor</span></div><div class="line"><a name="l01831"></a><span class="lineno"> 1831</span>&#160; ValidateTensorNumDimNumElem(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[2], 2, (n_batch * n_cell),</div><div class="line"><a name="l01832"></a><span class="lineno"> 1832</span>&#160; descriptorName + <span class="stringliteral">&quot; output_2&quot;</span>);</div><div class="line"><a name="l01833"></a><span class="lineno"> 1833</span>&#160; <span class="comment">// outputTensor</span></div><div class="line"><a name="l01834"></a><span class="lineno"> 1834</span>&#160; ValidateTensorNumDimNumElem(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[3], 2, (n_batch * n_output),</div><div class="line"><a name="l01835"></a><span class="lineno"> 1835</span>&#160; descriptorName + <span class="stringliteral">&quot; output_3&quot;</span>);</div><div class="line"><a name="l01836"></a><span class="lineno"> 1836</span>&#160;</div><div class="line"><a name="l01837"></a><span class="lineno"> 1837</span>&#160;</div><div class="line"><a name="l01838"></a><span class="lineno"> 1838</span>&#160; <span class="comment">// check that dimensions of inputs/outputs and QueueDescriptor data match with each other</span></div><div class="line"><a name="l01839"></a><span class="lineno"> 1839</span>&#160; <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">m_InputToInputWeights</a> )</div><div class="line"><a name="l01840"></a><span class="lineno"> 1840</span>&#160; {</div><div class="line"><a name="l01841"></a><span class="lineno"> 1841</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">m_InputToInputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div><div class="line"><a name="l01842"></a><span class="lineno"> 1842</span>&#160; (n_cell * n_input), <span class="stringliteral">&quot;InputLayerNormWeights&quot;</span>);</div><div class="line"><a name="l01843"></a><span class="lineno"> 1843</span>&#160; }</div><div class="line"><a name="l01844"></a><span class="lineno"> 1844</span>&#160;</div><div class="line"><a name="l01845"></a><span class="lineno"> 1845</span>&#160; ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">m_InputToForgetWeights</a>, <span class="stringliteral">&quot;Null pointer check&quot;</span>, <span class="stringliteral">&quot;InputToForgetWeights&quot;</span>);</div><div class="line"><a name="l01846"></a><span class="lineno"> 1846</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">m_InputToForgetWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div><div class="line"><a name="l01847"></a><span class="lineno"> 1847</span>&#160; (n_cell * n_input), <span class="stringliteral">&quot;InputToForgetWeights&quot;</span>);</div><div class="line"><a name="l01848"></a><span class="lineno"> 1848</span>&#160;</div><div class="line"><a name="l01849"></a><span class="lineno"> 1849</span>&#160; ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">m_InputToCellWeights</a>, <span class="stringliteral">&quot;Null pointer check&quot;</span>, <span class="stringliteral">&quot;InputToCellWeights&quot;</span>);</div><div class="line"><a name="l01850"></a><span class="lineno"> 1850</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">m_InputToCellWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div><div class="line"><a name="l01851"></a><span class="lineno"> 1851</span>&#160; (n_cell * n_input), <span class="stringliteral">&quot;InputToCellWeights&quot;</span>);</div><div class="line"><a name="l01852"></a><span class="lineno"> 1852</span>&#160;</div><div class="line"><a name="l01853"></a><span class="lineno"> 1853</span>&#160; <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">m_RecurrentToInputWeights</a> )</div><div class="line"><a name="l01854"></a><span class="lineno"> 1854</span>&#160; {</div><div class="line"><a name="l01855"></a><span class="lineno"> 1855</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">m_RecurrentToInputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div><div class="line"><a name="l01856"></a><span class="lineno"> 1856</span>&#160; (n_cell * n_output), <span class="stringliteral">&quot;RecurrentToInputWeights&quot;</span>);</div><div class="line"><a name="l01857"></a><span class="lineno"> 1857</span>&#160; }</div><div class="line"><a name="l01858"></a><span class="lineno"> 1858</span>&#160;</div><div class="line"><a name="l01859"></a><span class="lineno"> 1859</span>&#160; ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">m_RecurrentToForgetWeights</a>, <span class="stringliteral">&quot;Null pointer check&quot;</span>, <span class="stringliteral">&quot;RecurrentToForgetWeights&quot;</span>);</div><div class="line"><a name="l01860"></a><span class="lineno"> 1860</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">m_RecurrentToForgetWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div><div class="line"><a name="l01861"></a><span class="lineno"> 1861</span>&#160; (n_cell * n_output), <span class="stringliteral">&quot;RecurrentToForgetWeights&quot;</span>);</div><div class="line"><a name="l01862"></a><span class="lineno"> 1862</span>&#160;</div><div class="line"><a name="l01863"></a><span class="lineno"> 1863</span>&#160; ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">m_RecurrentToCellWeights</a>, <span class="stringliteral">&quot;Null pointer check&quot;</span>, <span class="stringliteral">&quot;RecurrentToCellWeights&quot;</span>);</div><div class="line"><a name="l01864"></a><span class="lineno"> 1864</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">m_RecurrentToCellWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div><div class="line"><a name="l01865"></a><span class="lineno"> 1865</span>&#160; (n_cell * n_output), <span class="stringliteral">&quot;RecurrentToCellWeights&quot;</span>);</div><div class="line"><a name="l01866"></a><span class="lineno"> 1866</span>&#160;</div><div class="line"><a name="l01867"></a><span class="lineno"> 1867</span>&#160; <span class="comment">// Make sure the input-gate&#39;s parameters are either both present (regular</span></div><div class="line"><a name="l01868"></a><span class="lineno"> 1868</span>&#160; <span class="comment">// LSTM) or not at all (CIFG-LSTM). And CifgEnable is set accordingly.</span></div><div class="line"><a name="l01869"></a><span class="lineno"> 1869</span>&#160; <span class="keywordtype">bool</span> cifg_weights_all_or_none = ((<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">m_InputToInputWeights</a> &amp;&amp; <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">m_RecurrentToInputWeights</a> &amp;&amp;</div><div class="line"><a name="l01870"></a><span class="lineno"> 1870</span>&#160; !<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>) ||</div><div class="line"><a name="l01871"></a><span class="lineno"> 1871</span>&#160; (!<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">m_InputToInputWeights</a> &amp;&amp; !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">m_RecurrentToInputWeights</a> &amp;&amp;</div><div class="line"><a name="l01872"></a><span class="lineno"> 1872</span>&#160; <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>));</div><div class="line"><a name="l01873"></a><span class="lineno"> 1873</span>&#160; <span class="keywordflow">if</span> (!cifg_weights_all_or_none)</div><div class="line"><a name="l01874"></a><span class="lineno"> 1874</span>&#160; {</div><div class="line"><a name="l01875"></a><span class="lineno"> 1875</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: Input-Gate&#39;s parameters InputToInputWeights and &quot;</span></div><div class="line"><a name="l01876"></a><span class="lineno"> 1876</span>&#160; <span class="stringliteral">&quot;RecurrentToInputWeights must either both be present (regular LSTM) &quot;</span></div><div class="line"><a name="l01877"></a><span class="lineno"> 1877</span>&#160; <span class="stringliteral">&quot;or both not present (CIFG-LSTM). In addition CifgEnable must be set &quot;</span></div><div class="line"><a name="l01878"></a><span class="lineno"> 1878</span>&#160; <span class="stringliteral">&quot;accordingly.&quot;</span>);</div><div class="line"><a name="l01879"></a><span class="lineno"> 1879</span>&#160; }</div><div class="line"><a name="l01880"></a><span class="lineno"> 1880</span>&#160;</div><div class="line"><a name="l01881"></a><span class="lineno"> 1881</span>&#160; <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a5c1c0a7ead7273788976c9e97cffaab7">m_CellToInputWeights</a> )</div><div class="line"><a name="l01882"></a><span class="lineno"> 1882</span>&#160; {</div><div class="line"><a name="l01883"></a><span class="lineno"> 1883</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a5c1c0a7ead7273788976c9e97cffaab7">m_CellToInputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1,</div><div class="line"><a name="l01884"></a><span class="lineno"> 1884</span>&#160; n_cell, <span class="stringliteral">&quot;CellToInputWeights&quot;</span>);</div><div class="line"><a name="l01885"></a><span class="lineno"> 1885</span>&#160; }</div><div class="line"><a name="l01886"></a><span class="lineno"> 1886</span>&#160; <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acefa49d7faf26933e27e473e7bdb4175">m_CellToForgetWeights</a> )</div><div class="line"><a name="l01887"></a><span class="lineno"> 1887</span>&#160; {</div><div class="line"><a name="l01888"></a><span class="lineno"> 1888</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acefa49d7faf26933e27e473e7bdb4175">m_CellToForgetWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1,</div><div class="line"><a name="l01889"></a><span class="lineno"> 1889</span>&#160; n_cell, <span class="stringliteral">&quot;CellToForgetWeights&quot;</span>);</div><div class="line"><a name="l01890"></a><span class="lineno"> 1890</span>&#160; }</div><div class="line"><a name="l01891"></a><span class="lineno"> 1891</span>&#160; <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a6f74071b0e07bbe2cb20a8f78826e084">m_CellToOutputWeights</a> )</div><div class="line"><a name="l01892"></a><span class="lineno"> 1892</span>&#160; {</div><div class="line"><a name="l01893"></a><span class="lineno"> 1893</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a6f74071b0e07bbe2cb20a8f78826e084">m_CellToOutputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1,</div><div class="line"><a name="l01894"></a><span class="lineno"> 1894</span>&#160; n_cell, <span class="stringliteral">&quot;CellToOutputWeights&quot;</span>);</div><div class="line"><a name="l01895"></a><span class="lineno"> 1895</span>&#160; }</div><div class="line"><a name="l01896"></a><span class="lineno"> 1896</span>&#160;</div><div class="line"><a name="l01897"></a><span class="lineno"> 1897</span>&#160; <span class="comment">// Making sure the peephole weights are there all or none. And PeepholeEnable is set accordingly.</span></div><div class="line"><a name="l01898"></a><span class="lineno"> 1898</span>&#160; <span class="keywordtype">bool</span> peephole_weights_all_or_none =</div><div class="line"><a name="l01899"></a><span class="lineno"> 1899</span>&#160; (((<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a5c1c0a7ead7273788976c9e97cffaab7">m_CellToInputWeights</a> || <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>) &amp;&amp; <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acefa49d7faf26933e27e473e7bdb4175">m_CellToForgetWeights</a></div><div class="line"><a name="l01900"></a><span class="lineno"> 1900</span>&#160; &amp;&amp; <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a6f74071b0e07bbe2cb20a8f78826e084">m_CellToOutputWeights</a> &amp;&amp; <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div><div class="line"><a name="l01901"></a><span class="lineno"> 1901</span>&#160; || ( !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a5c1c0a7ead7273788976c9e97cffaab7">m_CellToInputWeights</a> &amp;&amp; !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acefa49d7faf26933e27e473e7bdb4175">m_CellToForgetWeights</a></div><div class="line"><a name="l01902"></a><span class="lineno"> 1902</span>&#160; &amp;&amp; !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a6f74071b0e07bbe2cb20a8f78826e084">m_CellToOutputWeights</a> &amp;&amp; !<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>));</div><div class="line"><a name="l01903"></a><span class="lineno"> 1903</span>&#160; <span class="keywordflow">if</span> (!peephole_weights_all_or_none)</div><div class="line"><a name="l01904"></a><span class="lineno"> 1904</span>&#160; {</div><div class="line"><a name="l01905"></a><span class="lineno"> 1905</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: Invalid combination of peephole parameters.&quot;</span>);</div><div class="line"><a name="l01906"></a><span class="lineno"> 1906</span>&#160; }</div><div class="line"><a name="l01907"></a><span class="lineno"> 1907</span>&#160;</div><div class="line"><a name="l01908"></a><span class="lineno"> 1908</span>&#160; <span class="comment">// Make sure the input gate bias is present only when not a CIFG-LSTM.</span></div><div class="line"><a name="l01909"></a><span class="lineno"> 1909</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div><div class="line"><a name="l01910"></a><span class="lineno"> 1910</span>&#160; {</div><div class="line"><a name="l01911"></a><span class="lineno"> 1911</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">m_InputGateBias</a>)</div><div class="line"><a name="l01912"></a><span class="lineno"> 1912</span>&#160; {</div><div class="line"><a name="l01913"></a><span class="lineno"> 1913</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: InputGateBias is present and CIFG-LSTM is enabled.&quot;</span>);</div><div class="line"><a name="l01914"></a><span class="lineno"> 1914</span>&#160; }</div><div class="line"><a name="l01915"></a><span class="lineno"> 1915</span>&#160; }</div><div class="line"><a name="l01916"></a><span class="lineno"> 1916</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l01917"></a><span class="lineno"> 1917</span>&#160; {</div><div class="line"><a name="l01918"></a><span class="lineno"> 1918</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">m_InputGateBias</a>)</div><div class="line"><a name="l01919"></a><span class="lineno"> 1919</span>&#160; {</div><div class="line"><a name="l01920"></a><span class="lineno"> 1920</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: If CIFG-LSTM is disabled InputGateBias &quot;</span></div><div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>&#160; <span class="stringliteral">&quot;must be present.&quot;</span>);</div><div class="line"><a name="l01922"></a><span class="lineno"> 1922</span>&#160; }</div><div class="line"><a name="l01923"></a><span class="lineno"> 1923</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">m_InputGateBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1,</div><div class="line"><a name="l01924"></a><span class="lineno"> 1924</span>&#160; n_cell, <span class="stringliteral">&quot;InputGateBias&quot;</span>);</div><div class="line"><a name="l01925"></a><span class="lineno"> 1925</span>&#160; }</div><div class="line"><a name="l01926"></a><span class="lineno"> 1926</span>&#160;</div><div class="line"><a name="l01927"></a><span class="lineno"> 1927</span>&#160; ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">m_ForgetGateBias</a>, <span class="stringliteral">&quot;Null pointer check&quot;</span>, <span class="stringliteral">&quot;ForgetGateBias&quot;</span>);</div><div class="line"><a name="l01928"></a><span class="lineno"> 1928</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">m_ForgetGateBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">&quot;ForgetGateBias&quot;</span>);</div><div class="line"><a name="l01929"></a><span class="lineno"> 1929</span>&#160;</div><div class="line"><a name="l01930"></a><span class="lineno"> 1930</span>&#160; ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">m_CellBias</a>, <span class="stringliteral">&quot;Null pointer check&quot;</span>, <span class="stringliteral">&quot;CellBias&quot;</span>);</div><div class="line"><a name="l01931"></a><span class="lineno"> 1931</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">m_CellBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">&quot;CellBias&quot;</span>);</div><div class="line"><a name="l01932"></a><span class="lineno"> 1932</span>&#160;</div><div class="line"><a name="l01933"></a><span class="lineno"> 1933</span>&#160; ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">m_OutputGateBias</a>, <span class="stringliteral">&quot;Null pointer check&quot;</span>, <span class="stringliteral">&quot;OutputGateBias&quot;</span>);</div><div class="line"><a name="l01934"></a><span class="lineno"> 1934</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">m_OutputGateBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">&quot;OutputGateBias&quot;</span>);</div><div class="line"><a name="l01935"></a><span class="lineno"> 1935</span>&#160;</div><div class="line"><a name="l01936"></a><span class="lineno"> 1936</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">m_ProjectionWeights</a>)</div><div class="line"><a name="l01937"></a><span class="lineno"> 1937</span>&#160; {</div><div class="line"><a name="l01938"></a><span class="lineno"> 1938</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">m_ProjectionWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div><div class="line"><a name="l01939"></a><span class="lineno"> 1939</span>&#160; (n_cell * n_output), <span class="stringliteral">&quot;ProjectionWeights&quot;</span>);</div><div class="line"><a name="l01940"></a><span class="lineno"> 1940</span>&#160; }</div><div class="line"><a name="l01941"></a><span class="lineno"> 1941</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">m_ProjectionBias</a>)</div><div class="line"><a name="l01942"></a><span class="lineno"> 1942</span>&#160; {</div><div class="line"><a name="l01943"></a><span class="lineno"> 1943</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">m_ProjectionBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_output, <span class="stringliteral">&quot;ProjectionBias&quot;</span>);</div><div class="line"><a name="l01944"></a><span class="lineno"> 1944</span>&#160; }</div><div class="line"><a name="l01945"></a><span class="lineno"> 1945</span>&#160;</div><div class="line"><a name="l01946"></a><span class="lineno"> 1946</span>&#160; <span class="comment">// Making sure the projection tensors are consistent:</span></div><div class="line"><a name="l01947"></a><span class="lineno"> 1947</span>&#160; <span class="comment">// 1) If projection weight is not present, then projection bias should not be</span></div><div class="line"><a name="l01948"></a><span class="lineno"> 1948</span>&#160; <span class="comment">// present.</span></div><div class="line"><a name="l01949"></a><span class="lineno"> 1949</span>&#160; <span class="comment">// 2) If projection weight is present, then projection bias is optional.</span></div><div class="line"><a name="l01950"></a><span class="lineno"> 1950</span>&#160; <span class="keywordtype">bool</span> projecton_tensors_consistent = ((!<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">m_ProjectionWeights</a> &amp;&amp; !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">m_ProjectionBias</a> &amp;&amp;</div><div class="line"><a name="l01951"></a><span class="lineno"> 1951</span>&#160; !<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div><div class="line"><a name="l01952"></a><span class="lineno"> 1952</span>&#160; || (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">m_ProjectionWeights</a> &amp;&amp; !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">m_ProjectionBias</a> &amp;&amp;</div><div class="line"><a name="l01953"></a><span class="lineno"> 1953</span>&#160; <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div><div class="line"><a name="l01954"></a><span class="lineno"> 1954</span>&#160; || (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">m_ProjectionWeights</a> &amp;&amp; <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">m_ProjectionBias</a> &amp;&amp;</div><div class="line"><a name="l01955"></a><span class="lineno"> 1955</span>&#160; <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>));</div><div class="line"><a name="l01956"></a><span class="lineno"> 1956</span>&#160; <span class="keywordflow">if</span> (!projecton_tensors_consistent)</div><div class="line"><a name="l01957"></a><span class="lineno"> 1957</span>&#160; {</div><div class="line"><a name="l01958"></a><span class="lineno"> 1958</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: Projection tensors are inconsistent.&quot;</span>);</div><div class="line"><a name="l01959"></a><span class="lineno"> 1959</span>&#160; }</div><div class="line"><a name="l01960"></a><span class="lineno"> 1960</span>&#160;</div><div class="line"><a name="l01961"></a><span class="lineno"> 1961</span>&#160; <span class="comment">// The four layer normalization weights either all have values or none of them have values. Additionally, if</span></div><div class="line"><a name="l01962"></a><span class="lineno"> 1962</span>&#160; <span class="comment">// CIFG is used, input layer normalization weights tensor is omitted and the other layer normalization weights</span></div><div class="line"><a name="l01963"></a><span class="lineno"> 1963</span>&#160; <span class="comment">// either all have values or none of them have values. Layer normalization is used when the values of all the</span></div><div class="line"><a name="l01964"></a><span class="lineno"> 1964</span>&#160; <span class="comment">// layer normalization weights are present</span></div><div class="line"><a name="l01965"></a><span class="lineno"> 1965</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">m_InputLayerNormWeights</a>)</div><div class="line"><a name="l01966"></a><span class="lineno"> 1966</span>&#160; {</div><div class="line"><a name="l01967"></a><span class="lineno"> 1967</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">m_InputLayerNormWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">&quot;InputLayerNormWeights&quot;</span>);</div><div class="line"><a name="l01968"></a><span class="lineno"> 1968</span>&#160; }</div><div class="line"><a name="l01969"></a><span class="lineno"> 1969</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">m_ForgetLayerNormWeights</a>)</div><div class="line"><a name="l01970"></a><span class="lineno"> 1970</span>&#160; {</div><div class="line"><a name="l01971"></a><span class="lineno"> 1971</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">m_ForgetLayerNormWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">&quot;ForgetLayerNormWeights&quot;</span>);</div><div class="line"><a name="l01972"></a><span class="lineno"> 1972</span>&#160; }</div><div class="line"><a name="l01973"></a><span class="lineno"> 1973</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">m_CellLayerNormWeights</a>)</div><div class="line"><a name="l01974"></a><span class="lineno"> 1974</span>&#160; {</div><div class="line"><a name="l01975"></a><span class="lineno"> 1975</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">m_CellLayerNormWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">&quot;CellLayerNormWeights&quot;</span>);</div><div class="line"><a name="l01976"></a><span class="lineno"> 1976</span>&#160; }</div><div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">m_OutputLayerNormWeights</a>)</div><div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>&#160; {</div><div class="line"><a name="l01979"></a><span class="lineno"> 1979</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">m_OutputLayerNormWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">&quot;OutputLayerNormWeights&quot;</span>);</div><div class="line"><a name="l01980"></a><span class="lineno"> 1980</span>&#160; }</div><div class="line"><a name="l01981"></a><span class="lineno"> 1981</span>&#160;</div><div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div><div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>&#160; {</div><div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div><div class="line"><a name="l01985"></a><span class="lineno"> 1985</span>&#160; {</div><div class="line"><a name="l01986"></a><span class="lineno"> 1986</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">m_InputLayerNormWeights</a>)</div><div class="line"><a name="l01987"></a><span class="lineno"> 1987</span>&#160; {</div><div class="line"><a name="l01988"></a><span class="lineno"> 1988</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: Layer normalisation is enabled and CIFG-LSTM is &quot;</span></div><div class="line"><a name="l01989"></a><span class="lineno"> 1989</span>&#160; <span class="stringliteral">&quot;disabled but InputLayerNormWeights are not present&quot;</span>);</div><div class="line"><a name="l01990"></a><span class="lineno"> 1990</span>&#160; }</div><div class="line"><a name="l01991"></a><span class="lineno"> 1991</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">m_InputLayerNormWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l01992"></a><span class="lineno"> 1992</span>&#160; 1, n_cell, <span class="stringliteral">&quot;InputLayerNormWeights&quot;</span>);</div><div class="line"><a name="l01993"></a><span class="lineno"> 1993</span>&#160; }</div><div class="line"><a name="l01994"></a><span class="lineno"> 1994</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">m_InputLayerNormWeights</a>)</div><div class="line"><a name="l01995"></a><span class="lineno"> 1995</span>&#160; {</div><div class="line"><a name="l01996"></a><span class="lineno"> 1996</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;:InputLayerNormWeights are present while CIFG is &quot;</span></div><div class="line"><a name="l01997"></a><span class="lineno"> 1997</span>&#160; <span class="stringliteral">&quot;enabled&quot;</span>);</div><div class="line"><a name="l01998"></a><span class="lineno"> 1998</span>&#160; }</div><div class="line"><a name="l01999"></a><span class="lineno"> 1999</span>&#160;</div><div class="line"><a name="l02000"></a><span class="lineno"> 2000</span>&#160; ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">m_ForgetLayerNormWeights</a>, <span class="stringliteral">&quot;Null pointer check layer normalisation enabled&quot;</span>,</div><div class="line"><a name="l02001"></a><span class="lineno"> 2001</span>&#160; <span class="stringliteral">&quot;ForgetLayerNormWeights&quot;</span>);</div><div class="line"><a name="l02002"></a><span class="lineno"> 2002</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">m_ForgetLayerNormWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">&quot;ForgetLayerNormWeights&quot;</span>);</div><div class="line"><a name="l02003"></a><span class="lineno"> 2003</span>&#160;</div><div class="line"><a name="l02004"></a><span class="lineno"> 2004</span>&#160; ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">m_OutputLayerNormWeights</a>, <span class="stringliteral">&quot;Null pointer check layer normalisation enabled&quot;</span>,</div><div class="line"><a name="l02005"></a><span class="lineno"> 2005</span>&#160; <span class="stringliteral">&quot;OutputLayerNormWeights&quot;</span>);</div><div class="line"><a name="l02006"></a><span class="lineno"> 2006</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">m_OutputLayerNormWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">&quot;OutputLayerNormWeights&quot;</span>);</div><div class="line"><a name="l02007"></a><span class="lineno"> 2007</span>&#160;</div><div class="line"><a name="l02008"></a><span class="lineno"> 2008</span>&#160; ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">m_CellLayerNormWeights</a>, <span class="stringliteral">&quot;Null pointer check layer normalisation enabled&quot;</span>,</div><div class="line"><a name="l02009"></a><span class="lineno"> 2009</span>&#160; <span class="stringliteral">&quot;CellLayerNormWeights&quot;</span>);</div><div class="line"><a name="l02010"></a><span class="lineno"> 2010</span>&#160; ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">m_CellLayerNormWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">&quot;CellLayerNormWeights&quot;</span>);</div><div class="line"><a name="l02011"></a><span class="lineno"> 2011</span>&#160; }</div><div class="line"><a name="l02012"></a><span class="lineno"> 2012</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">m_InputLayerNormWeights</a> || <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">m_ForgetLayerNormWeights</a> || <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">m_OutputLayerNormWeights</a> || <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">m_CellLayerNormWeights</a>)</div><div class="line"><a name="l02013"></a><span class="lineno"> 2013</span>&#160; {</div><div class="line"><a name="l02014"></a><span class="lineno"> 2014</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: Layer normalisation is disabled but one or more layer &quot;</span></div><div class="line"><a name="l02015"></a><span class="lineno"> 2015</span>&#160; <span class="stringliteral">&quot;normalisation weights are present.&quot;</span>);</div><div class="line"><a name="l02016"></a><span class="lineno"> 2016</span>&#160; }</div><div class="line"><a name="l02017"></a><span class="lineno"> 2017</span>&#160;}</div><div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">armnn::LstmDescriptor::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.xhtml#l00871">Descriptors.hpp:871</a></div></div>
275<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a86e88bef0df4df96df752b4b8955a3af"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">armnn::LstmDescriptor::m_ClippingThresProj</a></div><div class="ttdeci">float m_ClippingThresProj</div><div class="ttdoc">Clipping threshold value for the projection. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00865">Descriptors.hpp:865</a></div></div>
276<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a45d73e66cbb2b65049e4016c20657ccf"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">armnn::LstmQueueDescriptor::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00390">WorkloadData.hpp:390</a></div></div>
277<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a6f74071b0e07bbe2cb20a8f78826e084"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a6f74071b0e07bbe2cb20a8f78826e084">armnn::LstmQueueDescriptor::m_CellToOutputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00395">WorkloadData.hpp:395</a></div></div>
278<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a28ad98d17603fd8b12e046f8ece58970"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">armnn::LstmQueueDescriptor::m_InputToCellWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00387">WorkloadData.hpp:387</a></div></div>
279<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a83dc9086b2e4a4e4cadb66bd874df798"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">armnn::LstmQueueDescriptor::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00388">WorkloadData.hpp:388</a></div></div>
280<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a2ba352eb1fdf6dc5ecf7f2e6b6b48f94"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">armnn::LstmQueueDescriptor::m_ProjectionBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ProjectionBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00401">WorkloadData.hpp:401</a></div></div>
281<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a332551528a4b3534c2d6c89ce816fcd9"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">armnn::LstmQueueDescriptor::m_OutputGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00399">WorkloadData.hpp:399</a></div></div>
282<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a5c1c0a7ead7273788976c9e97cffaab7"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a5c1c0a7ead7273788976c9e97cffaab7">armnn::LstmQueueDescriptor::m_CellToInputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00393">WorkloadData.hpp:393</a></div></div>
283<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a518f0195d0278a892b49649b8860d17f"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">armnn::LstmQueueDescriptor::m_CellLayerNormWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00404">WorkloadData.hpp:404</a></div></div>
284<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
285<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_acefa49d7faf26933e27e473e7bdb4175"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acefa49d7faf26933e27e473e7bdb4175">armnn::LstmQueueDescriptor::m_CellToForgetWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00394">WorkloadData.hpp:394</a></div></div>
286<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a75980b5795efd899a0c678a06a900c6d"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">armnn::LstmQueueDescriptor::m_CellBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00398">WorkloadData.hpp:398</a></div></div>
287<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a98d377149071d8842d610cc0734d1cfe"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">armnn::LstmQueueDescriptor::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00389">WorkloadData.hpp:389</a></div></div>
288<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters&lt; LstmDescriptor &gt;::m_Parameters</a></div><div class="ttdeci">LstmDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00049">WorkloadData.hpp:49</a></div></div>
289<div class="ttc" id="structarmnn_1_1_workload_info_xhtml_ac97905bfa0daab357b91df1347600309"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">armnn::WorkloadInfo::m_InputTensorInfos</a></div><div class="ttdeci">std::vector&lt; TensorInfo &gt; m_InputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00018">WorkloadInfo.hpp:18</a></div></div>
290<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a9cc28aa4fff6ba9a8abdb340c1abdd57"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">armnn::LstmQueueDescriptor::m_InputLayerNormWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00402">WorkloadData.hpp:402</a></div></div>
291<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_aa3f07e27230d6d99adc2c82ba681df2b"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">armnn::LstmQueueDescriptor::m_OutputLayerNormWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_OutputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00405">WorkloadData.hpp:405</a></div></div>
292<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_aba3ffe91d818266b8785ce971548eb59"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">armnn::LstmQueueDescriptor::m_ForgetGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00397">WorkloadData.hpp:397</a></div></div>
293<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_a8e8d2fbabcac19f9e12779080ddff54e"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a8e8d2fbabcac19f9e12779080ddff54e">armnn::ConstCpuTensorHandle::GetShape</a></div><div class="ttdeci">TensorShape GetShape() const override</div><div class="ttdoc">Get the number of elements for each dimension ordered from slowest iterating dimension to fastest ite...</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00053">CpuTensorHandle.hpp:53</a></div></div>
294<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a08a1932be591c315a512a877d38b22df"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">armnn::LstmQueueDescriptor::m_InputToInputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00385">WorkloadData.hpp:385</a></div></div>
295<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div>
296<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">armnn::LstmDescriptor::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.xhtml#l00869">Descriptors.hpp:869</a></div></div>
297<div class="ttc" id="structarmnn_1_1_workload_info_xhtml_a67b178f8a836bc1e52b8de109760adfd"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">armnn::WorkloadInfo::m_OutputTensorInfos</a></div><div class="ttdeci">std::vector&lt; TensorInfo &gt; m_OutputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00019">WorkloadInfo.hpp:19</a></div></div>
298<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
299<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div>
300<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a531a3907ec13d3772370da88030191a5"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">armnn::LstmDescriptor::m_ClippingThresCell</a></div><div class="ttdeci">float m_ClippingThresCell</div><div class="ttdoc">Clipping threshold value for the cell state. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00863">Descriptors.hpp:863</a></div></div>
301<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::LstmDescriptor::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.xhtml#l00867">Descriptors.hpp:867</a></div></div>
302<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_adebc1771e5a1f4b113a7aa594ea74d2c"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">armnn::LstmQueueDescriptor::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00392">WorkloadData.hpp:392</a></div></div>
303<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a453a4af385d0c060c9aac990fceaa1ef"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">armnn::LstmQueueDescriptor::m_ForgetLayerNormWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ForgetLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00403">WorkloadData.hpp:403</a></div></div>
304<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_acb3aade8fae984f7293e222dcbe66030"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">armnn::LstmQueueDescriptor::m_InputGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00396">WorkloadData.hpp:396</a></div></div>
305<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">armnn::LstmDescriptor::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.xhtml#l00873">Descriptors.hpp:873</a></div></div>
306<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
307<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_aea142bd50ffb93631c2e08324ec92a1e"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">armnn::LstmQueueDescriptor::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00391">WorkloadData.hpp:391</a></div></div>
308<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">armnn::ConstCpuTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00037">CpuTensorHandle.hpp:37</a></div></div>
309<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_af3c52626a6f05597d82ed095d0765962"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">armnn::LstmQueueDescriptor::m_ProjectionWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ProjectionWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00400">WorkloadData.hpp:400</a></div></div>
310<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a3ea82566d98c5a657c76c3d851c47848"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">armnn::LstmQueueDescriptor::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00386">WorkloadData.hpp:386</a></div></div>
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312</div>
313</div>
314<h2 class="groupheader">Member Data Documentation</h2>
315<a id="a75980b5795efd899a0c678a06a900c6d"></a>
316<h2 class="memtitle"><span class="permalink"><a href="#a75980b5795efd899a0c678a06a900c6d">&#9670;&nbsp;</a></span>m_CellBias</h2>
317
318<div class="memitem">
319<div class="memproto">
320 <table class="memname">
321 <tr>
322 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_CellBias</td>
323 </tr>
324 </table>
325</div><div class="memdoc">
326
327<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00398">398</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
328
329<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
330
331</div>
332</div>
333<a id="a518f0195d0278a892b49649b8860d17f"></a>
334<h2 class="memtitle"><span class="permalink"><a href="#a518f0195d0278a892b49649b8860d17f">&#9670;&nbsp;</a></span>m_CellLayerNormWeights</h2>
335
336<div class="memitem">
337<div class="memproto">
338 <table class="memname">
339 <tr>
340 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_CellLayerNormWeights</td>
341 </tr>
342 </table>
343</div><div class="memdoc">
344
345<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00404">404</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
346
347<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
348
349</div>
350</div>
351<a id="acefa49d7faf26933e27e473e7bdb4175"></a>
352<h2 class="memtitle"><span class="permalink"><a href="#acefa49d7faf26933e27e473e7bdb4175">&#9670;&nbsp;</a></span>m_CellToForgetWeights</h2>
353
354<div class="memitem">
355<div class="memproto">
356 <table class="memname">
357 <tr>
358 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_CellToForgetWeights</td>
359 </tr>
360 </table>
361</div><div class="memdoc">
362
363<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00394">394</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
364
365<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
366
367</div>
368</div>
369<a id="a5c1c0a7ead7273788976c9e97cffaab7"></a>
370<h2 class="memtitle"><span class="permalink"><a href="#a5c1c0a7ead7273788976c9e97cffaab7">&#9670;&nbsp;</a></span>m_CellToInputWeights</h2>
371
372<div class="memitem">
373<div class="memproto">
374 <table class="memname">
375 <tr>
376 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_CellToInputWeights</td>
377 </tr>
378 </table>
379</div><div class="memdoc">
380
381<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00393">393</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
382
383<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
384
385</div>
386</div>
387<a id="a6f74071b0e07bbe2cb20a8f78826e084"></a>
388<h2 class="memtitle"><span class="permalink"><a href="#a6f74071b0e07bbe2cb20a8f78826e084">&#9670;&nbsp;</a></span>m_CellToOutputWeights</h2>
389
390<div class="memitem">
391<div class="memproto">
392 <table class="memname">
393 <tr>
394 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_CellToOutputWeights</td>
395 </tr>
396 </table>
397</div><div class="memdoc">
398
399<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00395">395</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
400
401<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
402
403</div>
404</div>
405<a id="aba3ffe91d818266b8785ce971548eb59"></a>
406<h2 class="memtitle"><span class="permalink"><a href="#aba3ffe91d818266b8785ce971548eb59">&#9670;&nbsp;</a></span>m_ForgetGateBias</h2>
407
408<div class="memitem">
409<div class="memproto">
410 <table class="memname">
411 <tr>
412 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_ForgetGateBias</td>
413 </tr>
414 </table>
415</div><div class="memdoc">
416
417<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00397">397</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
418
419<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
420
421</div>
422</div>
423<a id="a453a4af385d0c060c9aac990fceaa1ef"></a>
424<h2 class="memtitle"><span class="permalink"><a href="#a453a4af385d0c060c9aac990fceaa1ef">&#9670;&nbsp;</a></span>m_ForgetLayerNormWeights</h2>
425
426<div class="memitem">
427<div class="memproto">
428 <table class="memname">
429 <tr>
430 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_ForgetLayerNormWeights</td>
431 </tr>
432 </table>
433</div><div class="memdoc">
434
435<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00403">403</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
436
437<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
438
439</div>
440</div>
441<a id="acb3aade8fae984f7293e222dcbe66030"></a>
442<h2 class="memtitle"><span class="permalink"><a href="#acb3aade8fae984f7293e222dcbe66030">&#9670;&nbsp;</a></span>m_InputGateBias</h2>
443
444<div class="memitem">
445<div class="memproto">
446 <table class="memname">
447 <tr>
448 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_InputGateBias</td>
449 </tr>
450 </table>
451</div><div class="memdoc">
452
453<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00396">396</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
454
455<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
456
457</div>
458</div>
459<a id="a9cc28aa4fff6ba9a8abdb340c1abdd57"></a>
460<h2 class="memtitle"><span class="permalink"><a href="#a9cc28aa4fff6ba9a8abdb340c1abdd57">&#9670;&nbsp;</a></span>m_InputLayerNormWeights</h2>
461
462<div class="memitem">
463<div class="memproto">
464 <table class="memname">
465 <tr>
466 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_InputLayerNormWeights</td>
467 </tr>
468 </table>
469</div><div class="memdoc">
470
471<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00402">402</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
472
473<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
474
475</div>
476</div>
477<a id="a28ad98d17603fd8b12e046f8ece58970"></a>
478<h2 class="memtitle"><span class="permalink"><a href="#a28ad98d17603fd8b12e046f8ece58970">&#9670;&nbsp;</a></span>m_InputToCellWeights</h2>
479
480<div class="memitem">
481<div class="memproto">
482 <table class="memname">
483 <tr>
484 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_InputToCellWeights</td>
485 </tr>
486 </table>
487</div><div class="memdoc">
488
489<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00387">387</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
490
491<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
492
493</div>
494</div>
495<a id="a3ea82566d98c5a657c76c3d851c47848"></a>
496<h2 class="memtitle"><span class="permalink"><a href="#a3ea82566d98c5a657c76c3d851c47848">&#9670;&nbsp;</a></span>m_InputToForgetWeights</h2>
497
498<div class="memitem">
499<div class="memproto">
500 <table class="memname">
501 <tr>
502 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_InputToForgetWeights</td>
503 </tr>
504 </table>
505</div><div class="memdoc">
506
507<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00386">386</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
508
509<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
510
511</div>
512</div>
513<a id="a08a1932be591c315a512a877d38b22df"></a>
514<h2 class="memtitle"><span class="permalink"><a href="#a08a1932be591c315a512a877d38b22df">&#9670;&nbsp;</a></span>m_InputToInputWeights</h2>
515
516<div class="memitem">
517<div class="memproto">
518 <table class="memname">
519 <tr>
520 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_InputToInputWeights</td>
521 </tr>
522 </table>
523</div><div class="memdoc">
524
525<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00385">385</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
526
527<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
528
529</div>
530</div>
531<a id="a83dc9086b2e4a4e4cadb66bd874df798"></a>
532<h2 class="memtitle"><span class="permalink"><a href="#a83dc9086b2e4a4e4cadb66bd874df798">&#9670;&nbsp;</a></span>m_InputToOutputWeights</h2>
533
534<div class="memitem">
535<div class="memproto">
536 <table class="memname">
537 <tr>
538 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_InputToOutputWeights</td>
539 </tr>
540 </table>
541</div><div class="memdoc">
542
543<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00388">388</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
544
545<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
546
547</div>
548</div>
549<a id="a332551528a4b3534c2d6c89ce816fcd9"></a>
550<h2 class="memtitle"><span class="permalink"><a href="#a332551528a4b3534c2d6c89ce816fcd9">&#9670;&nbsp;</a></span>m_OutputGateBias</h2>
551
552<div class="memitem">
553<div class="memproto">
554 <table class="memname">
555 <tr>
556 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_OutputGateBias</td>
557 </tr>
558 </table>
559</div><div class="memdoc">
560
561<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00399">399</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
562
563<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
564
565</div>
566</div>
567<a id="aa3f07e27230d6d99adc2c82ba681df2b"></a>
568<h2 class="memtitle"><span class="permalink"><a href="#aa3f07e27230d6d99adc2c82ba681df2b">&#9670;&nbsp;</a></span>m_OutputLayerNormWeights</h2>
569
570<div class="memitem">
571<div class="memproto">
572 <table class="memname">
573 <tr>
574 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_OutputLayerNormWeights</td>
575 </tr>
576 </table>
577</div><div class="memdoc">
578
579<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00405">405</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
580
581<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
582
583</div>
584</div>
585<a id="a2ba352eb1fdf6dc5ecf7f2e6b6b48f94"></a>
586<h2 class="memtitle"><span class="permalink"><a href="#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">&#9670;&nbsp;</a></span>m_ProjectionBias</h2>
587
588<div class="memitem">
589<div class="memproto">
590 <table class="memname">
591 <tr>
592 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_ProjectionBias</td>
593 </tr>
594 </table>
595</div><div class="memdoc">
596
597<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00401">401</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
598
599<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
600
601</div>
602</div>
603<a id="af3c52626a6f05597d82ed095d0765962"></a>
604<h2 class="memtitle"><span class="permalink"><a href="#af3c52626a6f05597d82ed095d0765962">&#9670;&nbsp;</a></span>m_ProjectionWeights</h2>
605
606<div class="memitem">
607<div class="memproto">
608 <table class="memname">
609 <tr>
610 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_ProjectionWeights</td>
611 </tr>
612 </table>
613</div><div class="memdoc">
614
615<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00400">400</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
616
617<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
618
619</div>
620</div>
621<a id="aea142bd50ffb93631c2e08324ec92a1e"></a>
622<h2 class="memtitle"><span class="permalink"><a href="#aea142bd50ffb93631c2e08324ec92a1e">&#9670;&nbsp;</a></span>m_RecurrentToCellWeights</h2>
623
624<div class="memitem">
625<div class="memproto">
626 <table class="memname">
627 <tr>
628 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_RecurrentToCellWeights</td>
629 </tr>
630 </table>
631</div><div class="memdoc">
632
633<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00391">391</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
634
635<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
636
637</div>
638</div>
639<a id="a45d73e66cbb2b65049e4016c20657ccf"></a>
640<h2 class="memtitle"><span class="permalink"><a href="#a45d73e66cbb2b65049e4016c20657ccf">&#9670;&nbsp;</a></span>m_RecurrentToForgetWeights</h2>
641
642<div class="memitem">
643<div class="memproto">
644 <table class="memname">
645 <tr>
646 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_RecurrentToForgetWeights</td>
647 </tr>
648 </table>
649</div><div class="memdoc">
650
651<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00390">390</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
652
653<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
654
655</div>
656</div>
657<a id="a98d377149071d8842d610cc0734d1cfe"></a>
658<h2 class="memtitle"><span class="permalink"><a href="#a98d377149071d8842d610cc0734d1cfe">&#9670;&nbsp;</a></span>m_RecurrentToInputWeights</h2>
659
660<div class="memitem">
661<div class="memproto">
662 <table class="memname">
663 <tr>
664 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_RecurrentToInputWeights</td>
665 </tr>
666 </table>
667</div><div class="memdoc">
668
669<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00389">389</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
670
671<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
672
673</div>
674</div>
675<a id="adebc1771e5a1f4b113a7aa594ea74d2c"></a>
676<h2 class="memtitle"><span class="permalink"><a href="#adebc1771e5a1f4b113a7aa594ea74d2c">&#9670;&nbsp;</a></span>m_RecurrentToOutputWeights</h2>
677
678<div class="memitem">
679<div class="memproto">
680 <table class="memname">
681 <tr>
682 <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_RecurrentToOutputWeights</td>
683 </tr>
684 </table>
685</div><div class="memdoc">
686
687<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00392">392</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
688
689<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
690
691</div>
692</div>
693<hr/>The documentation for this struct was generated from the following files:<ul>
694<li>src/backends/backendsCommon/<a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a></li>
695<li>src/backends/backendsCommon/<a class="el" href="_workload_data_8cpp_source.xhtml">WorkloadData.cpp</a></li>
696</ul>
697</div><!-- contents -->
698</div><!-- doc-content -->
699<!-- start footer part -->
700<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
701 <ul>
702 <li class="navelem"><a class="el" href="namespacearmnn.xhtml">armnn</a></li><li class="navelem"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml">LstmQueueDescriptor</a></li>
703 <li class="footer">Generated on Fri Mar 13 2020 16:09:18 for ArmNN by
704 <a href="http://www.doxygen.org/index.html">
705 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
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