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Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]39 &#160;<span id="projectnumber">24.05</span>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]40 </div>
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94<div class="header">
95 <div class="summary">
96<a href="#pub-methods">Public Member Functions</a> &#124;
97<a href="classarmnn_1_1_neon_q_lstm_workload-members.html">List of all members</a> </div>
98 <div class="headertitle">
99<div class="title">NeonQLstmWorkload Class Reference</div> </div>
100</div><!--header-->
101<div class="contents">
102
103<p><code>#include &lt;<a class="el" href="_neon_q_lstm_workload_8hpp_source.html">NeonQLstmWorkload.hpp</a>&gt;</code></p>
104<div class="dynheader">
105Inheritance diagram for NeonQLstmWorkload:</div>
106<div class="dyncontent">
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108</div>
109<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
110<div class="dynheader">
111Collaboration diagram for NeonQLstmWorkload:</div>
112<div class="dyncontent">
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114</div>
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116<table class="memberdecls">
117<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
118Public Member Functions</h2></td></tr>
119<tr class="memitem:a83c87b3dd014c18b6609c6fecf6c8368"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_q_lstm_workload.html#a83c87b3dd014c18b6609c6fecf6c8368">NeonQLstmWorkload</a> (const <a class="el" href="structarmnn_1_1_q_lstm_queue_descriptor.html">QLstmQueueDescriptor</a> &amp;descriptor, const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;info)</td></tr>
120<tr class="separator:a83c87b3dd014c18b6609c6fecf6c8368"><td class="memSeparator" colspan="2">&#160;</td></tr>
121<tr class="memitem:ae071e8822437c78baea75c3aef3a263a"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_q_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a> () const override</td></tr>
122<tr class="separator:ae071e8822437c78baea75c3aef3a263a"><td class="memSeparator" colspan="2">&#160;</td></tr>
123<tr class="inherit_header pub_methods_classarmnn_1_1_neon_base_workload"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_neon_base_workload')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarmnn_1_1_neon_base_workload.html">NeonBaseWorkload&lt; QLstmQueueDescriptor &gt;</a></td></tr>
124<tr class="memitem:a446042983b3fa49c4c57f2262ef3a2f0 inherit pub_methods_classarmnn_1_1_neon_base_workload"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_base_workload.html#a446042983b3fa49c4c57f2262ef3a2f0">NeonBaseWorkload</a> (const <a class="el" href="structarmnn_1_1_q_lstm_queue_descriptor.html">QLstmQueueDescriptor</a> &amp;descriptor, const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;info)</td></tr>
125<tr class="separator:a446042983b3fa49c4c57f2262ef3a2f0 inherit pub_methods_classarmnn_1_1_neon_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
126<tr class="memitem:ab0a67f8179ddb997dda0070a6661f837 inherit pub_methods_classarmnn_1_1_neon_base_workload"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_base_workload.html#ab0a67f8179ddb997dda0070a6661f837">ReplaceInputTensorHandle</a> (<a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> *tensorHandle, unsigned int slot) override</td></tr>
127<tr class="separator:ab0a67f8179ddb997dda0070a6661f837 inherit pub_methods_classarmnn_1_1_neon_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
128<tr class="memitem:acc08590544f05c641d21c724aedf26dd inherit pub_methods_classarmnn_1_1_neon_base_workload"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_base_workload.html#acc08590544f05c641d21c724aedf26dd">ReplaceOutputTensorHandle</a> (<a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> *tensorHandle, unsigned int slot) override</td></tr>
129<tr class="separator:acc08590544f05c641d21c724aedf26dd inherit pub_methods_classarmnn_1_1_neon_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
130<tr class="inherit_header pub_methods_classarmnn_1_1_base_workload"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_base_workload')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarmnn_1_1_base_workload.html">BaseWorkload&lt; QLstmQueueDescriptor &gt;</a></td></tr>
131<tr class="memitem:af2ef420610280dc5a661cd3d4836d5a2 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#af2ef420610280dc5a661cd3d4836d5a2">BaseWorkload</a> (const <a class="el" href="structarmnn_1_1_q_lstm_queue_descriptor.html">QLstmQueueDescriptor</a> &amp;descriptor, const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;info)</td></tr>
132<tr class="separator:af2ef420610280dc5a661cd3d4836d5a2 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
133<tr class="memitem:a163c04b26f9804eafc598a047128f887 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">virtual const std::string &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a163c04b26f9804eafc598a047128f887">GetName</a> () const override</td></tr>
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135<tr class="memitem:ae1c43d025fc90382d7aff7a500937e2c inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">ExecuteAsync</a> (<a class="el" href="structarmnn_1_1experimental_1_1_execution_data.html">ExecutionData</a> &amp;executionData) override</td></tr>
136<tr class="separator:ae1c43d025fc90382d7aff7a500937e2c inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
137<tr class="memitem:a81627f96ba06d76e147f7d392a8117ed inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">PostAllocationConfigure</a> () override</td></tr>
138<tr class="separator:a81627f96ba06d76e147f7d392a8117ed inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
139<tr class="memitem:a965cf380c7adf547d0f14b3f6d1da249 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="structarmnn_1_1_q_lstm_queue_descriptor.html">QLstmQueueDescriptor</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a965cf380c7adf547d0f14b3f6d1da249">GetData</a> () const</td></tr>
140<tr class="separator:a965cf380c7adf547d0f14b3f6d1da249 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
141<tr class="memitem:aaff95a48875d8fb4a616352906660ca9 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">arm::pipe::ProfilingGuid&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#aaff95a48875d8fb4a616352906660ca9">GetGuid</a> () const final</td></tr>
142<tr class="separator:aaff95a48875d8fb4a616352906660ca9 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
143<tr class="memitem:a0c326c344355d8423217e9431781f2ee inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">virtual bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a0c326c344355d8423217e9431781f2ee">SupportsTensorHandleReplacement</a> () const override</td></tr>
144<tr class="separator:a0c326c344355d8423217e9431781f2ee inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
145<tr class="inherit_header pub_methods_classarmnn_1_1_i_workload"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_i_workload')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_workload.html">IWorkload</a></td></tr>
146<tr class="memitem:a69c83c02ae8de866bc7a46c49e69c1ba inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.html#a69c83c02ae8de866bc7a46c49e69c1ba">~IWorkload</a> ()</td></tr>
147<tr class="separator:a69c83c02ae8de866bc7a46c49e69c1ba inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
148<tr class="memitem:a00f887eb14b9ed163d795b31c4964965 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual arm::pipe::ProfilingGuid&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.html#a00f887eb14b9ed163d795b31c4964965">GetGuid</a> () const =0</td></tr>
149<tr class="separator:a00f887eb14b9ed163d795b31c4964965 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
150<tr class="memitem:a9cc47a21a60b5e47247cde5e660e29ce inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.html#a9cc47a21a60b5e47247cde5e660e29ce">SupportsTensorHandleReplacement</a> () const =0</td></tr>
151<tr class="separator:a9cc47a21a60b5e47247cde5e660e29ce inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
152<tr class="memitem:a4295bd67f063570a3a378dc2fbf16df5 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual const std::string &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.html#a4295bd67f063570a3a378dc2fbf16df5">GetName</a> () const =0</td></tr>
153<tr class="separator:a4295bd67f063570a3a378dc2fbf16df5 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
154<tr class="memitem:ab81312bd5e64cbae2803de9f243bdb32 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.html#ab81312bd5e64cbae2803de9f243bdb32">RegisterDebugCallback</a> (const <a class="el" href="namespacearmnn.html#a15f3ad9b5e4e3d46b0a6dda246a7bc28">DebugCallbackFunction</a> &amp;)</td></tr>
155<tr class="separator:ab81312bd5e64cbae2803de9f243bdb32 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
156<tr class="memitem:a2d2834d1029217934f504e3e59579081 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_optional.html">armnn::Optional</a>&lt; <a class="el" href="structarmnn_1_1_memory_requirements.html">armnn::MemoryRequirements</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.html#a2d2834d1029217934f504e3e59579081">GetMemoryRequirements</a> ()</td></tr>
157<tr class="separator:a2d2834d1029217934f504e3e59579081 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
158</table><table class="memberdecls">
159<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
160Additional Inherited Members</h2></td></tr>
161<tr class="inherit_header pro_methods_classarmnn_1_1_neon_base_workload"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_neon_base_workload')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_neon_base_workload.html">NeonBaseWorkload&lt; QLstmQueueDescriptor &gt;</a></td></tr>
162<tr class="memitem:ac07f175c0e658269e0c824a7450c3345 inherit pro_methods_classarmnn_1_1_neon_base_workload"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_base_workload.html#ac07f175c0e658269e0c824a7450c3345">Reconfigure</a> ()</td></tr>
163<tr class="separator:ac07f175c0e658269e0c824a7450c3345 inherit pro_methods_classarmnn_1_1_neon_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
164<tr class="inherit_header pro_attribs_classarmnn_1_1_base_workload"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_classarmnn_1_1_base_workload')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classarmnn_1_1_base_workload.html">BaseWorkload&lt; QLstmQueueDescriptor &gt;</a></td></tr>
165<tr class="memitem:afb8d2c8817c75de9d01a4c0e0d5c160b inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_q_lstm_queue_descriptor.html">QLstmQueueDescriptor</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a></td></tr>
166<tr class="separator:afb8d2c8817c75de9d01a4c0e0d5c160b inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
167<tr class="memitem:a4c2b3ca86eec6c199364671af267cd2c inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">const arm::pipe::ProfilingGuid&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a4c2b3ca86eec6c199364671af267cd2c">m_Guid</a></td></tr>
168<tr class="separator:a4c2b3ca86eec6c199364671af267cd2c inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
169<tr class="memitem:a77806f89d6edb879d3f6c6b6b18168a7 inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">const std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a77806f89d6edb879d3f6c6b6b18168a7">m_Name</a></td></tr>
170<tr class="separator:a77806f89d6edb879d3f6c6b6b18168a7 inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
171</table>
172<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
173<div class="textblock">
174<p class="definition">Definition at line <a class="el" href="_neon_q_lstm_workload_8hpp_source.html#l00019">19</a> of file <a class="el" href="_neon_q_lstm_workload_8hpp_source.html">NeonQLstmWorkload.hpp</a>.</p>
175</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
176<a id="a83c87b3dd014c18b6609c6fecf6c8368"></a>
177<h2 class="memtitle"><span class="permalink"><a href="#a83c87b3dd014c18b6609c6fecf6c8368">&#9670;&nbsp;</a></span>NeonQLstmWorkload()</h2>
178
179<div class="memitem">
180<div class="memproto">
181 <table class="memname">
182 <tr>
183 <td class="memname"><a class="el" href="classarmnn_1_1_neon_q_lstm_workload.html">NeonQLstmWorkload</a> </td>
184 <td>(</td>
185 <td class="paramtype">const <a class="el" href="structarmnn_1_1_q_lstm_queue_descriptor.html">QLstmQueueDescriptor</a> &amp;&#160;</td>
186 <td class="paramname"><em>descriptor</em>, </td>
187 </tr>
188 <tr>
189 <td class="paramkey"></td>
190 <td></td>
191 <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;&#160;</td>
192 <td class="paramname"><em>info</em>&#160;</td>
193 </tr>
194 <tr>
195 <td></td>
196 <td>)</td>
197 <td></td><td></td>
198 </tr>
199 </table>
200</div><div class="memdoc">
201
202<p class="definition">Definition at line <a class="el" href="_neon_q_lstm_workload_8cpp_source.html#l00017">17</a> of file <a class="el" href="_neon_q_lstm_workload_8cpp_source.html">NeonQLstmWorkload.cpp</a>.</p>
203<div class="fragment"><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; : NeonBaseWorkload&lt;QLstmQueueDescriptor&gt;(descriptor, info)</div>
204<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;{</div>
205<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; <span class="comment">// Report Profiling Details</span></div>
206<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">&quot;NeonQLstmWorkload_Construct&quot;</span>,</div>
207<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; descriptor.m_Parameters,</div>
208<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; info,</div>
209<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; this-&gt;GetGuid());</div>
210<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; </div>
211<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; arm_compute::LSTMParams&lt;arm_compute::ITensor&gt; qLstmParams;</div>
212<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; </div>
213<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="comment">// Mandatory params</span></div>
214<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; m_InputToForgetWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
215<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; BuildArmComputeTensor(*m_InputToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
216<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; </div>
217<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; m_InputToCellWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
218<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; BuildArmComputeTensor(*m_InputToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
219<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; </div>
220<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; m_InputToOutputWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
221<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; BuildArmComputeTensor(*m_InputToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
222<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; </div>
223<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; m_RecurrentToForgetWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
224<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; BuildArmComputeTensor(*m_RecurrentToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
225<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; </div>
226<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; m_RecurrentToCellWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
227<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; BuildArmComputeTensor(*m_RecurrentToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
228<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; </div>
229<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; m_RecurrentToOutputWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
230<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; BuildArmComputeTensor(*m_RecurrentToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
231<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; </div>
232<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; m_ForgetGateBiasTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
233<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; BuildArmComputeTensor(*m_ForgetGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
234<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; </div>
235<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; m_CellBiasTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
236<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; BuildArmComputeTensor(*m_CellBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
237<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; </div>
238<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; m_OutputGateBiasTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
239<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; BuildArmComputeTensor(*m_OutputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
240<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; </div>
241<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="comment">// Create tensors for optional params if they are enabled</span></div>
242<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div>
243<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; {</div>
244<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; m_CellToInputWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
245<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; </div>
246<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
247<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; {</div>
248<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="comment">// In ACL this is categorised as a CIFG param and not a Peephole param</span></div>
249<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; BuildArmComputeTensor(*m_CellToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
250<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; }</div>
251<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; </div>
252<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; m_CellToForgetWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
253<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; BuildArmComputeTensor(*m_CellToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">m_CellToForgetWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
254<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; </div>
255<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; m_CellToOutputWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
256<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; BuildArmComputeTensor(*m_CellToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">m_CellToOutputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
257<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; </div>
258<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="comment">// Set Peephole params</span></div>
259<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; qLstmParams.set_peephole_params(m_CellToForgetWeightsTensor.get(),</div>
260<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; m_CellToOutputWeightsTensor.get());</div>
261<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; }</div>
262<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; </div>
263<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div>
264<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; {</div>
265<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; m_ProjectionWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
266<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; BuildArmComputeTensor(*m_ProjectionWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
267<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; </div>
268<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; m_ProjectionBiasTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
269<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div>
270<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; {</div>
271<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; BuildArmComputeTensor(*m_ProjectionBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
272<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; }</div>
273<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; </div>
274<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="comment">// Set projection params</span></div>
275<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; qLstmParams.set_projection_params(</div>
276<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; m_ProjectionWeightsTensor.get(),</div>
277<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a> != <span class="keyword">nullptr</span> ? m_ProjectionBiasTensor.get() : <span class="keyword">nullptr</span>);</div>
278<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; }</div>
279<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; </div>
280<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div>
281<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; {</div>
282<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; m_InputLayerNormWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
283<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; </div>
284<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
285<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; {</div>
286<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; BuildArmComputeTensor(*m_InputLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
287<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; }</div>
288<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; </div>
289<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; m_ForgetLayerNormWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
290<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; BuildArmComputeTensor(*m_ForgetLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
291<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; </div>
292<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; m_CellLayerNormWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
293<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; BuildArmComputeTensor(*m_CellLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
294<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; </div>
295<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; m_OutputLayerNormWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
296<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; BuildArmComputeTensor(*m_OutputLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
297<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; </div>
298<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="comment">// Set layer norm params</span></div>
299<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; qLstmParams.set_layer_normalization_params(</div>
300<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a> != <span class="keyword">nullptr</span> ? m_InputLayerNormWeightsTensor.get() : <span class="keyword">nullptr</span>,</div>
301<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; m_ForgetLayerNormWeightsTensor.get(),</div>
302<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; m_CellLayerNormWeightsTensor.get(),</div>
303<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; m_OutputLayerNormWeightsTensor.get());</div>
304<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; }</div>
305<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; </div>
306<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
307<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; {</div>
308<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; m_InputToInputWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
309<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; BuildArmComputeTensor(*m_InputToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
310<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; </div>
311<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; m_RecurrentToInputWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
312<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; BuildArmComputeTensor(*m_RecurrentToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
313<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; </div>
314<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; m_InputGateBiasTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
315<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; BuildArmComputeTensor(*m_InputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
316<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; </div>
317<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="comment">// Set CIFG params</span></div>
318<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; qLstmParams.set_cifg_params(</div>
319<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; m_InputToInputWeightsTensor.get(),</div>
320<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; m_RecurrentToInputWeightsTensor.get(),</div>
321<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a> != <span class="keyword">nullptr</span> ? m_CellToInputWeightsTensor.get() : <span class="keyword">nullptr</span>,</div>
322<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; m_InputGateBiasTensor.get());</div>
323<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; }</div>
324<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; </div>
325<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="comment">// Input/Output tensors</span></div>
326<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keyword">const</span> arm_compute::ITensor&amp; input = <span class="keyword">static_cast&lt;</span>IAclTensorHandle*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])-&gt;GetTensor();</div>
327<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; arm_compute::ITensor&amp; outputStateIn = <span class="keyword">static_cast&lt;</span>IAclTensorHandle*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[1])-&gt;GetTensor();</div>
328<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keyword">const</span> arm_compute::ITensor&amp; cellStateIn = <span class="keyword">static_cast&lt;</span>IAclTensorHandle*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[2])-&gt;GetTensor();</div>
329<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; </div>
330<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; arm_compute::ITensor&amp; outputStateOut = <span class="keyword">static_cast&lt;</span>IAclTensorHandle*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])-&gt;GetTensor();</div>
331<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; arm_compute::ITensor&amp; cellStateOut = <span class="keyword">static_cast&lt;</span>IAclTensorHandle*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[1])-&gt;GetTensor();</div>
332<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; arm_compute::ITensor&amp; output = <span class="keyword">static_cast&lt;</span>IAclTensorHandle*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[2])-&gt;GetTensor();</div>
333<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; </div>
334<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="comment">// Set scalar descriptor params</span></div>
335<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; qLstmParams.set_cell_clip_params(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ac81fb0e66dc623dc37c77f219f53a6d3">m_CellClip</a>);</div>
336<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; qLstmParams.set_projection_clip_params(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#aa6a518b65088f34803b3214334bdff61">m_ProjectionClip</a>);</div>
337<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; qLstmParams.set_hidden_state_params(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4556cbd764d4848d8ad0637a9eed580d">m_HiddenStateZeroPoint</a>,</div>
338<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a>);</div>
339<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; qLstmParams.set_matmul_scale_params(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a09e1f097944f61cc901240f9300364cf">m_InputIntermediateScale</a>,</div>
340<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#afec7f36158448f723b426a9527acb189">m_ForgetIntermediateScale</a>,</div>
341<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a0477ee1b44ace6090119178eea78cb0b">m_CellIntermediateScale</a>,</div>
342<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#aa43409f9b457352c95c89f20ce5d844d">m_OutputIntermediateScale</a>);</div>
343<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; </div>
344<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <span class="comment">// QLSTM NEON configure</span></div>
345<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; m_QLstmLayer.configure(&amp;input,</div>
346<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; m_InputToForgetWeightsTensor.get(),</div>
347<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; m_InputToCellWeightsTensor.get(),</div>
348<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; m_InputToOutputWeightsTensor.get(),</div>
349<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; m_RecurrentToForgetWeightsTensor.get(),</div>
350<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; m_RecurrentToCellWeightsTensor.get(),</div>
351<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; m_RecurrentToOutputWeightsTensor.get(),</div>
352<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; m_ForgetGateBiasTensor.get(),</div>
353<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; m_CellBiasTensor.get(),</div>
354<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; m_OutputGateBiasTensor.get(),</div>
355<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; &amp;cellStateIn,</div>
356<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; &amp;outputStateIn,</div>
357<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; &amp;cellStateOut,</div>
358<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; &amp;outputStateOut,</div>
359<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; &amp;output,</div>
360<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; qLstmParams);</div>
361<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; </div>
362<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <span class="comment">// Initialise ACL tensor data for mandatory params</span></div>
363<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_InputToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a>);</div>
364<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_InputToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a>);</div>
365<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_InputToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a>);</div>
366<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; </div>
367<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_RecurrentToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a>);</div>
368<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_RecurrentToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a>);</div>
369<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_RecurrentToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a>);</div>
370<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; </div>
371<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_ForgetGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a>);</div>
372<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_CellBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a>);</div>
373<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_OutputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a>);</div>
374<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; </div>
375<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <span class="comment">// Initialise ACL tensor data for optional params</span></div>
376<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
377<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; {</div>
378<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_InputToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a>);</div>
379<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_RecurrentToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a>);</div>
380<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_InputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a>);</div>
381<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; }</div>
382<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; </div>
383<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div>
384<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; {</div>
385<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_ProjectionWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a>);</div>
386<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; </div>
387<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div>
388<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; {</div>
389<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_ProjectionBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a>);</div>
390<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; }</div>
391<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; }</div>
392<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; </div>
393<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div>
394<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; {</div>
395<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
396<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; {</div>
397<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_CellToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a>);</div>
398<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; }</div>
399<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; </div>
400<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_CellToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">m_CellToForgetWeights</a>);</div>
401<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_CellToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">m_CellToOutputWeights</a>);</div>
402<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; }</div>
403<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; </div>
404<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div>
405<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; {</div>
406<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
407<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; {</div>
408<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_InputLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a>);</div>
409<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; }</div>
410<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; </div>
411<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_ForgetLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a>);</div>
412<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_CellLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a>);</div>
413<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_OutputLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a>);</div>
414<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; }</div>
415<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; </div>
416<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; <span class="comment">// QLSTM NEON prepare</span></div>
417<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; m_QLstmLayer.prepare();</div>
418<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; </div>
419<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; FreeUnusedTensors();</div>
420<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160;}</div>
421</div><!-- fragment -->
422<p class="reference">References <a class="el" href="_profiling_8hpp_source.html#l00227">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, and <a class="el" href="_workload_data_8hpp_source.html#l00066">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>.</p>
423
424</div>
425</div>
426<h2 class="groupheader">Member Function Documentation</h2>
427<a id="ae071e8822437c78baea75c3aef3a263a"></a>
428<h2 class="memtitle"><span class="permalink"><a href="#ae071e8822437c78baea75c3aef3a263a">&#9670;&nbsp;</a></span>Execute()</h2>
429
430<div class="memitem">
431<div class="memproto">
432<table class="mlabels">
433 <tr>
434 <td class="mlabels-left">
435 <table class="memname">
436 <tr>
437 <td class="memname">void Execute </td>
438 <td>(</td>
439 <td class="paramname"></td><td>)</td>
440 <td> const</td>
441 </tr>
442 </table>
443 </td>
444 <td class="mlabels-right">
445<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
446 </tr>
447</table>
448</div><div class="memdoc">
449
450<p>Implements <a class="el" href="classarmnn_1_1_i_workload.html#a72ae00e6604850c8798c5e0d825ee7e4">IWorkload</a>.</p>
451
452<p class="definition">Definition at line <a class="el" href="_neon_q_lstm_workload_8cpp_source.html#l00237">237</a> of file <a class="el" href="_neon_q_lstm_workload_8cpp_source.html">NeonQLstmWorkload.cpp</a>.</p>
453<div class="fragment"><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160;{</div>
454<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; <a class="code" href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a>(<span class="stringliteral">&quot;NeonQLstmWorkload_Execute&quot;</span>);</div>
455<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; m_QLstmLayer.run();</div>
456<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;}</div>
457</div><!-- fragment -->
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]458<p class="reference">References <a class="el" href="_neon_workload_utils_8hpp_source.html#l00033">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a>.</p>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]459
460</div>
461</div>
462<hr/>The documentation for this class was generated from the following files:<ul>
463<li>src/backends/neon/workloads/<a class="el" href="_neon_q_lstm_workload_8hpp_source.html">NeonQLstmWorkload.hpp</a></li>
464<li>src/backends/neon/workloads/<a class="el" href="_neon_q_lstm_workload_8cpp_source.html">NeonQLstmWorkload.cpp</a></li>
465</ul>
466</div><!-- contents -->
467</div><!-- doc-content -->
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]468<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_afec7f36158448f723b426a9527acb189"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#afec7f36158448f723b426a9527acb189">armnn::QLstmDescriptor::m_ForgetIntermediateScale</a></div><div class="ttdeci">float m_ForgetIntermediateScale</div><div class="ttdoc">Forget intermediate quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01428">Descriptors.hpp:1428</a></div></div>
469<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">armnn::QLstmDescriptor::m_ProjectionEnabled</a></div><div class="ttdeci">bool m_ProjectionEnabled</div><div class="ttdoc">Enable/disable the projection layer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01422">Descriptors.hpp:1422</a></div></div>
470<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_aab77f54a037658ca9b2bf9cc8a1fadf1"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">armnn::QLstmQueueDescriptor::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00590">WorkloadData.hpp:590</a></div></div>
471<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a1dbad32cad5c0437e1272f59fedf52ea"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">armnn::QLstmQueueDescriptor::m_InputLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00606">WorkloadData.hpp:606</a></div></div>
472<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a09e1f097944f61cc901240f9300364cf"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a09e1f097944f61cc901240f9300364cf">armnn::QLstmDescriptor::m_InputIntermediateScale</a></div><div class="ttdeci">float m_InputIntermediateScale</div><div class="ttdoc">Input intermediate quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01426">Descriptors.hpp:1426</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]473<div class="ttc" id="aclassarmnn_1_1_const_tensor_handle_html_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">armnn::ConstTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00040">TensorHandle.hpp:40</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]474<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_ab160eba2493d5fe52185c0986dcb190c"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">armnn::QLstmQueueDescriptor::m_InputToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00589">WorkloadData.hpp:589</a></div></div>
475<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a0477ee1b44ace6090119178eea78cb0b"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a0477ee1b44ace6090119178eea78cb0b">armnn::QLstmDescriptor::m_CellIntermediateScale</a></div><div class="ttdeci">float m_CellIntermediateScale</div><div class="ttdoc">Cell intermediate quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01430">Descriptors.hpp:1430</a></div></div>
476<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a3ead2ef8da00b2709d561d85996fc513"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">armnn::QLstmQueueDescriptor::m_ProjectionWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_ProjectionWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00604">WorkloadData.hpp:604</a></div></div>
477<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_ad9442e26aa79f896da5f404ab825a9c8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">armnn::QLstmQueueDescriptor::m_ForgetLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_ForgetLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00607">WorkloadData.hpp:607</a></div></div>
478<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a4c27716f61bb68e8ea0bd4e8389ba01a"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">armnn::QLstmQueueDescriptor::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00596">WorkloadData.hpp:596</a></div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]479<div class="ttc" id="anamespacearmnn_html_a611208865d55ea576cc89ac86d7c19b7"><div class="ttname"><a href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">armnn::InitializeArmComputeTensorData</a></div><div class="ttdeci">void InitializeArmComputeTensorData(arm_compute::Tensor &amp;tensor, TensorInfo tensorInfo, const ITensorHandle *handle)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.html#l00069">NeonWorkloadUtils.hpp:69</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]480<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_aa09f7bdb9fd0d06b6386e412a4e72dd6"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">armnn::QLstmQueueDescriptor::m_CellToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00599">WorkloadData.hpp:599</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]481<div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00066">WorkloadData.hpp:66</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]482<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a20c10fcb26657477377d07b7b1e13120"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">armnn::QLstmQueueDescriptor::m_CellToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00598">WorkloadData.hpp:598</a></div></div>
483<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a0e0f66bd03c88f3d2dc666f581d3cf12"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">armnn::QLstmQueueDescriptor::m_OutputLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_OutputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00609">WorkloadData.hpp:609</a></div></div>
484<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a44eb7524badcca9b2073359e3814c98b"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">armnn::QLstmQueueDescriptor::m_InputGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00600">WorkloadData.hpp:600</a></div></div>
485<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a5ff4158b1b363b898d0da04c42d37ce0"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">armnn::QLstmQueueDescriptor::m_OutputGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00603">WorkloadData.hpp:603</a></div></div>
486<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a29fa293fffbf9c6f00cd75db1dc0a52a"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">armnn::QLstmQueueDescriptor::m_ForgetGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00601">WorkloadData.hpp:601</a></div></div>
487<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_aa6a518b65088f34803b3214334bdff61"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#aa6a518b65088f34803b3214334bdff61">armnn::QLstmDescriptor::m_ProjectionClip</a></div><div class="ttdeci">float m_ProjectionClip</div><div class="ttdoc">Clipping threshold value for the projection.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01416">Descriptors.hpp:1416</a></div></div>
488<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a299587d4f3fca029492700f3e2585bd8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">armnn::QLstmQueueDescriptor::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00593">WorkloadData.hpp:593</a></div></div>
489<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_aa43409f9b457352c95c89f20ce5d844d"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#aa43409f9b457352c95c89f20ce5d844d">armnn::QLstmDescriptor::m_OutputIntermediateScale</a></div><div class="ttdeci">float m_OutputIntermediateScale</div><div class="ttdoc">Output intermediate quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01432">Descriptors.hpp:1432</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]490<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]491<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_adf8571dd1867ee91082bd005f94f2610"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">armnn::QLstmQueueDescriptor::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00594">WorkloadData.hpp:594</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]492<div class="ttc" id="a_profiling_8hpp_html_a786492a3881a4c760ab1eec2149f4aba"><div class="ttname"><a href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a></div><div class="ttdeci">#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.html#l00227">Profiling.hpp:227</a></div></div>
493<div class="ttc" id="aclassarmnn_1_1_base_workload_html_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload&lt; QLstmQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">QLstmQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]494<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a17ba1c8bcc71a55a95b2a3913f8cb203"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">armnn::QLstmQueueDescriptor::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00592">WorkloadData.hpp:592</a></div></div>
495<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a4556cbd764d4848d8ad0637a9eed580d"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a4556cbd764d4848d8ad0637a9eed580d">armnn::QLstmDescriptor::m_HiddenStateZeroPoint</a></div><div class="ttdeci">int32_t m_HiddenStateZeroPoint</div><div class="ttdoc">Hidden State zero point.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01434">Descriptors.hpp:1434</a></div></div>
496<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::QLstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable CIFG (coupled input &amp; forget gate).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01418">Descriptors.hpp:1418</a></div></div>
497<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_af8f724af7210b52529216feefa993c98"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#af8f724af7210b52529216feefa993c98">armnn::QLstmDescriptor::m_HiddenStateScale</a></div><div class="ttdeci">float m_HiddenStateScale</div><div class="ttdoc">Hidden State quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01436">Descriptors.hpp:1436</a></div></div>
498<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_ac668b31de6fb0f19d4c793d5ed3c3316"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">armnn::QLstmQueueDescriptor::m_ProjectionBias</a></div><div class="ttdeci">const ConstTensorHandle * m_ProjectionBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00605">WorkloadData.hpp:605</a></div></div>
499<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a951b7c90b862138071a298065f16be61"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">armnn::QLstmQueueDescriptor::m_CellToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00597">WorkloadData.hpp:597</a></div></div>
500<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_ac81fb0e66dc623dc37c77f219f53a6d3"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#ac81fb0e66dc623dc37c77f219f53a6d3">armnn::QLstmDescriptor::m_CellClip</a></div><div class="ttdeci">float m_CellClip</div><div class="ttdoc">Clipping threshold value for the cell state.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01414">Descriptors.hpp:1414</a></div></div>
501<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">armnn::QLstmDescriptor::m_LayerNormEnabled</a></div><div class="ttdeci">bool m_LayerNormEnabled</div><div class="ttdoc">Enable/disable layer normalization.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01424">Descriptors.hpp:1424</a></div></div>
502<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a6e9593869b82984de198fed27f72cdcf"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">armnn::QLstmQueueDescriptor::m_CellBias</a></div><div class="ttdeci">const ConstTensorHandle * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00602">WorkloadData.hpp:602</a></div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]503<div class="ttc" id="a_neon_workload_utils_8hpp_html_a7f97eedf3c9436b110df92c947bbb55d"><div class="ttname"><a href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.html#l00033">NeonWorkloadUtils.hpp:33</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]504<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a841439e3b8dc157a7368b19c9ecb7d03"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">armnn::QLstmQueueDescriptor::m_InputToCellWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00591">WorkloadData.hpp:591</a></div></div>
505<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">armnn::QLstmDescriptor::m_PeepholeEnabled</a></div><div class="ttdeci">bool m_PeepholeEnabled</div><div class="ttdoc">Enable/disable peephole.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01420">Descriptors.hpp:1420</a></div></div>
506<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_aeef6f1ac3efad8ec8b0a7118652b64c9"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">armnn::QLstmQueueDescriptor::m_CellLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00608">WorkloadData.hpp:608</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]507<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]508<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_ac18c8b8b2039267d8282e91b4162d8aa"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">armnn::QLstmQueueDescriptor::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00595">WorkloadData.hpp:595</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]509<!-- start footer part -->
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