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96<div class="title">UnidirectionalSequenceLstmLayer.cpp</div> </div>
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98<div class="contents">
99<a href="_unidirectional_sequence_lstm_layer_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div>
100<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2021-2024 Arm Ltd and Contributors. All rights reserved.</span></div>
101<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
102<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
103<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_unidirectional_sequence_lstm_layer_8hpp.html">UnidirectionalSequenceLstmLayer.hpp</a>&quot;</span></div>
104<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160; </div>
105<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_layer_clone_base_8hpp.html">LayerCloneBase.hpp</a>&quot;</span></div>
106<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160; </div>
107<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_lstm_params_8hpp.html">armnn/LstmParams.hpp</a>&gt;</span></div>
108<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_types_utils_8hpp.html">armnn/TypesUtils.hpp</a>&gt;</span></div>
109<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.hpp</a>&gt;</span></div>
110<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_factory_8hpp.html">armnn/backends/WorkloadFactory.hpp</a>&gt;</span></div>
111<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160; </div>
112<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
113<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;{</div>
114<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160; </div>
115<div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a94263c57dc4605c14907c03f54f44069"> 17</a></span>&#160;<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a94263c57dc4605c14907c03f54f44069">UnidirectionalSequenceLstmLayer::UnidirectionalSequenceLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">LstmDescriptor</a>&amp; param, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
116<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; : <a class="code" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters</a>(3, 3, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>::<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">UnidirectionalSequenceLstm</a>, param, name)</div>
117<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;{</div>
118<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;}</div>
119<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; </div>
120<div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7"> 22</a></span>&#160;std::unique_ptr&lt;IWorkload&gt; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">UnidirectionalSequenceLstmLayer::CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a>&amp; factory)<span class="keyword"> const</span></div>
121<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="keyword"></span>{</div>
122<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html">UnidirectionalSequenceLstmQueueDescriptor</a> descriptor;</div>
123<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; </div>
124<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="comment">// Basic parameters</span></div>
125<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>.get();</div>
126<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>.get();</div>
127<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>.get();</div>
128<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>.get();</div>
129<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>.get();</div>
130<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>.get();</div>
131<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>.get();</div>
132<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>.get();</div>
133<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>.get();</div>
134<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; </div>
135<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="comment">// Cifg parameters</span></div>
136<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
137<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; {</div>
138<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>.get();</div>
139<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>.get();</div>
140<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>.get();</div>
141<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; }</div>
142<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; </div>
143<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="comment">// Projection parameters</span></div>
144<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div>
145<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; {</div>
146<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a3d3e6d0c3e6e570d9f831489c3bd14ce">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a>.get();</div>
147<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a3d3e6d0c3e6e570d9f831489c3bd14ce">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a>.get();</div>
148<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; }</div>
149<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; </div>
150<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="comment">// Peephole parameters</span></div>
151<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div>
152<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; {</div>
153<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
154<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; {</div>
155<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a>.get();</div>
156<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; }</div>
157<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">m_CellToForgetWeights</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a>.get();</div>
158<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">m_CellToOutputWeights</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a>.get();</div>
159<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; }</div>
160<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; </div>
161<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="comment">// Layer normalisation parameters</span></div>
162<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div>
163<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; {</div>
164<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
165<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; {</div>
166<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a>.get();</div>
167<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; }</div>
168<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a>.get();</div>
169<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a>.get();</div>
170<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a> = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a>.get();</div>
171<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; }</div>
172<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; </div>
173<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div>
174<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; </div>
175<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">return</span> factory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">CreateWorkload</a>(<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">LayerType::UnidirectionalSequenceLstm</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div>
176<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;}</div>
177<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; </div>
178<div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a88ce933cddc0e32e2f17fd699185b0eb"> 80</a></span>&#160;<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html">UnidirectionalSequenceLstmLayer</a>* <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a88ce933cddc0e32e2f17fd699185b0eb">UnidirectionalSequenceLstmLayer::Clone</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>&amp; graph)<span class="keyword"> const</span></div>
179<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;<span class="keyword"></span>{</div>
180<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keyword">auto</span> layer = CloneBase&lt;UnidirectionalSequenceLstmLayer&gt;(graph, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
181<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; </div>
182<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; layer-&gt;m_BasicParameters.m_InputToForgetWeights = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> ?</div>
183<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a></div>
184<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; : <span class="keyword">nullptr</span>;</div>
185<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; layer-&gt;m_BasicParameters.m_InputToCellWeights = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> ?</div>
186<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> : <span class="keyword">nullptr</span>;</div>
187<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; layer-&gt;m_BasicParameters.m_InputToOutputWeights = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> ?</div>
188<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> : <span class="keyword">nullptr</span>;</div>
189<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; layer-&gt;m_BasicParameters.m_RecurrentToForgetWeights = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> ?</div>
190<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> : <span class="keyword">nullptr</span>;</div>
191<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; layer-&gt;m_BasicParameters.m_RecurrentToCellWeights = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> ?</div>
192<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> : <span class="keyword">nullptr</span>;</div>
193<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; layer-&gt;m_BasicParameters.m_RecurrentToOutputWeights = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> ?</div>
194<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> : <span class="keyword">nullptr</span>;</div>
195<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; layer-&gt;m_BasicParameters.m_ForgetGateBias = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> ?</div>
196<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> : <span class="keyword">nullptr</span>;</div>
197<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; layer-&gt;m_BasicParameters.m_CellBias = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a> ?</div>
198<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a> : <span class="keyword">nullptr</span>;</div>
199<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; layer-&gt;m_BasicParameters.m_OutputGateBias = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> ?</div>
200<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> : <span class="keyword">nullptr</span>;</div>
201<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; </div>
202<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
203<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; {</div>
204<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; layer-&gt;m_CifgParameters.m_InputToInputWeights = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> ?</div>
205<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> : <span class="keyword">nullptr</span>;</div>
206<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; layer-&gt;m_CifgParameters.m_RecurrentToInputWeights = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> ?</div>
207<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> : <span class="keyword">nullptr</span>;</div>
208<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; layer-&gt;m_CifgParameters.m_InputGateBias = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> ?</div>
209<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> : <span class="keyword">nullptr</span>;</div>
210<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; }</div>
211<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; </div>
212<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div>
213<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; {</div>
214<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; layer-&gt;m_ProjectionParameters.m_ProjectionWeights = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a3d3e6d0c3e6e570d9f831489c3bd14ce">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a> ?</div>
215<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a3d3e6d0c3e6e570d9f831489c3bd14ce">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a> : <span class="keyword">nullptr</span>;</div>
216<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; layer-&gt;m_ProjectionParameters.m_ProjectionBias = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a3d3e6d0c3e6e570d9f831489c3bd14ce">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a> ?</div>
217<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a3d3e6d0c3e6e570d9f831489c3bd14ce">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a> : <span class="keyword">nullptr</span>;</div>
218<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; }</div>
219<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; </div>
220<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div>
221<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; {</div>
222<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
223<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; {</div>
224<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; layer-&gt;m_PeepholeParameters.m_CellToInputWeights = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a> ?</div>
225<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a> : <span class="keyword">nullptr</span>;</div>
226<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; }</div>
227<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; layer-&gt;m_PeepholeParameters.m_CellToForgetWeights = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a> ?</div>
228<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a> : <span class="keyword">nullptr</span>;</div>
229<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; layer-&gt;m_PeepholeParameters.m_CellToOutputWeights = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a> ?</div>
230<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a> : <span class="keyword">nullptr</span>;</div>
231<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; }</div>
232<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; </div>
233<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div>
234<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; {</div>
235<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; layer-&gt;m_LayerNormParameters.m_InputLayerNormWeights = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a> ?</div>
236<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a> : <span class="keyword">nullptr</span>;</div>
237<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; layer-&gt;m_LayerNormParameters.m_ForgetLayerNormWeights = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a> ?</div>
238<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a> : <span class="keyword">nullptr</span>;</div>
239<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; layer-&gt;m_LayerNormParameters.m_CellLayerNormWeights = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a> ?</div>
240<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a> : <span class="keyword">nullptr</span>;</div>
241<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; layer-&gt;m_LayerNormParameters.m_OutputLayerNormWeights = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a> ?</div>
242<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a> : <span class="keyword">nullptr</span>;</div>
243<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; }</div>
244<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; </div>
245<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="keywordflow">return</span> std::move(layer);</div>
246<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160;}</div>
247<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; </div>
248<div class="line"><a name="l00150"></a><span class="lineno"><a class="line" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a65ca562c882ad619684445a1402f415a"> 150</a></span>&#160;std::vector&lt;TensorShape&gt; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a65ca562c882ad619684445a1402f415a">UnidirectionalSequenceLstmLayer::InferOutputShapes</a>(</div>
249<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="keyword">const</span> std::vector&lt;TensorShape&gt;&amp; inputShapes)<span class="keyword"> const</span></div>
250<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;<span class="keyword"></span>{</div>
251<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <a class="code" href="_exceptions_8hpp.html#a5b0cd1f24b12298894d6367f186ea6dc">ARMNN_THROW_INVALIDARG_MSG_IF_FALSE</a>(inputShapes.size() == 3,</div>
252<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="stringliteral">&quot;inputShapes&#39; size is \&quot;&quot;</span> + std::to_string(inputShapes.size()) +</div>
253<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="stringliteral">&quot;\&quot; - should be \&quot;3\&quot;.&quot;</span>);</div>
254<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; </div>
255<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="comment">// Get input values for validation</span></div>
256<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSize = inputShapes[1][1];</div>
257<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; </div>
258<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; std::vector&lt;TensorShape&gt; outShapes;</div>
259<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a3dcd10ca3ea2e132558b1e2814668c15">m_TimeMajor</a>)</div>
260<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; {</div>
261<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; outShapes.push_back(<a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>({inputShapes[0][0], inputShapes[0][1], outputSize}));</div>
262<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; }</div>
263<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <span class="keywordflow">else</span></div>
264<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; {</div>
265<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; outShapes.push_back(<a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>({inputShapes[0][0], inputShapes[0][1], outputSize}));</div>
266<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; }</div>
267<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <span class="keywordflow">return</span> outShapes;</div>
268<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160;}</div>
269<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; </div>
270<div class="line"><a name="l00172"></a><span class="lineno"><a class="line" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8c8f543d7e9729362c266d12ec169966"> 172</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8c8f543d7e9729362c266d12ec169966">UnidirectionalSequenceLstmLayer::ValidateTensorShapesFromInputs</a>()</div>
271<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160;{</div>
272<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(3, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
273<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; </div>
274<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; outputShape = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(2).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
275<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; </div>
276<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</div>
277<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; </div>
278<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>( {</div>
279<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div>
280<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div>
281<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(2).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()</div>
282<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; });</div>
283<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; </div>
284<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; <span class="keywordflow">if</span> (inferredShapes.size() != 1)</div>
285<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; {</div>
286<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;inferredShapes has &quot;</span></div>
287<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; + std::to_string(inferredShapes.size()) +</div>
288<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <span class="stringliteral">&quot; elements - should only have 1.&quot;</span>);</div>
289<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; }</div>
290<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; </div>
291<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <span class="comment">// Check if the weights are nullptr</span></div>
292<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>)</div>
293<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; {</div>
294<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
295<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_InputToForgetWeights should not be null.&quot;</span>);</div>
296<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; }</div>
297<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; </div>
298<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>)</div>
299<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; {</div>
300<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
301<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_InputToCellWeights should not be null.&quot;</span>);</div>
302<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; }</div>
303<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; </div>
304<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>)</div>
305<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; {</div>
306<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
307<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_InputToOutputWeights should not be null.&quot;</span>);</div>
308<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; }</div>
309<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; </div>
310<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>)</div>
311<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; {</div>
312<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
313<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_RecurrentToForgetWeights should not be null.&quot;</span>);</div>
314<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; }</div>
315<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; </div>
316<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>)</div>
317<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; {</div>
318<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
319<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_RecurrentToCellWeights should not be null.&quot;</span>);</div>
320<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; }</div>
321<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; </div>
322<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>)</div>
323<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; {</div>
324<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
325<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_RecurrentToOutputWeights should not be null.&quot;</span>);</div>
326<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; }</div>
327<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; </div>
328<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>)</div>
329<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; {</div>
330<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
331<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_ForgetGateBias should not be null.&quot;</span>);</div>
332<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; }</div>
333<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; </div>
334<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>)</div>
335<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; {</div>
336<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
337<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_CellBias should not be null.&quot;</span>);</div>
338<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; }</div>
339<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; </div>
340<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>)</div>
341<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; {</div>
342<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
343<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; <span class="stringliteral">&quot;m_BasicParameters.m_OutputGateBias should not be null.&quot;</span>);</div>
344<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; }</div>
345<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; </div>
346<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
347<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; {</div>
348<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>)</div>
349<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; {</div>
350<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
351<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; <span class="stringliteral">&quot;m_CifgParameters.m_InputToInputWeights should not be null.&quot;</span>);</div>
352<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; }</div>
353<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; </div>
354<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>)</div>
355<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; {</div>
356<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
357<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; <span class="stringliteral">&quot;m_CifgParameters.m_RecurrentToInputWeights should not be null.&quot;</span>);</div>
358<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; }</div>
359<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; </div>
360<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>)</div>
361<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; {</div>
362<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
363<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; <span class="stringliteral">&quot;m_CifgParameters.m_InputGateBias should not be null.&quot;</span>);</div>
364<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; }</div>
365<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; }</div>
366<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <span class="keywordflow">else</span></div>
367<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; {</div>
368<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>)</div>
369<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; {</div>
370<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
371<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <span class="stringliteral">&quot;m_CifgParameters.m_InputToInputWeights should not have a value &quot;</span></div>
372<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="stringliteral">&quot;when CIFG is enabled.&quot;</span>);</div>
373<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; }</div>
374<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; </div>
375<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>)</div>
376<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; {</div>
377<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
378<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; <span class="stringliteral">&quot;m_CifgParameters.m_RecurrentToInputWeights should not have a value &quot;</span></div>
379<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; <span class="stringliteral">&quot;when CIFG is enabled.&quot;</span>);</div>
380<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; }</div>
381<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; </div>
382<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>)</div>
383<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; {</div>
384<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
385<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; <span class="stringliteral">&quot;m_CifgParameters.m_InputGateBias should not have a value &quot;</span></div>
386<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; <span class="stringliteral">&quot;when CIFG is enabled.&quot;</span>);</div>
387<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; }</div>
388<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; }</div>
389<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; </div>
390<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div>
391<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; {</div>
392<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a3d3e6d0c3e6e570d9f831489c3bd14ce">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a>)</div>
393<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; {</div>
394<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
395<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <span class="stringliteral">&quot;m_ProjectionParameters.m_ProjectionWeights should not be null.&quot;</span>);</div>
396<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; }</div>
397<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; }</div>
398<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; </div>
399<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div>
400<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; {</div>
401<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
402<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; {</div>
403<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a>)</div>
404<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; {</div>
405<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
406<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; <span class="stringliteral">&quot;m_PeepholeParameters.m_CellToInputWeights should not be null &quot;</span></div>
407<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; <span class="stringliteral">&quot;when Peephole is enabled and CIFG is disabled.&quot;</span>);</div>
408<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; }</div>
409<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; }</div>
410<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; </div>
411<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a>)</div>
412<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; {</div>
413<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
414<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; <span class="stringliteral">&quot;m_PeepholeParameters.m_CellToForgetWeights should not be null.&quot;</span>);</div>
415<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; }</div>
416<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; </div>
417<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a>)</div>
418<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; {</div>
419<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
420<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; <span class="stringliteral">&quot;m_PeepholeParameters.m_CellToOutputWeights should not be null.&quot;</span>);</div>
421<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; }</div>
422<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; }</div>
423<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; </div>
424<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div>
425<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; {</div>
426<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; <span class="keywordflow">if</span>(!<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
427<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; {</div>
428<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a>)</div>
429<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; {</div>
430<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
431<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; <span class="stringliteral">&quot;m_LayerNormParameters.m_inputLayerNormWeights &quot;</span></div>
432<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; <span class="stringliteral">&quot;should not be null.&quot;</span>);</div>
433<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; }</div>
434<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; }</div>
435<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; </div>
436<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a>)</div>
437<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; {</div>
438<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
439<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <span class="stringliteral">&quot;m_LayerNormParameters.m_forgetLayerNormWeights &quot;</span></div>
440<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; <span class="stringliteral">&quot;should not be null.&quot;</span>);</div>
441<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; }</div>
442<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; </div>
443<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a>)</div>
444<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; {</div>
445<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
446<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; <span class="stringliteral">&quot;m_LayerNormParameters.m_cellLayerNormWeights &quot;</span></div>
447<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; <span class="stringliteral">&quot;should not be null.&quot;</span>);</div>
448<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; }</div>
449<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; </div>
450<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a>)</div>
451<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; {</div>
452<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer: &quot;</span></div>
453<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; <span class="stringliteral">&quot;m_LayerNormParameters.m_outputLayerNormWeights &quot;</span></div>
454<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; <span class="stringliteral">&quot;should not be null.&quot;</span>);</div>
455<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; }</div>
456<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; }</div>
457<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; </div>
458<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">&quot;UnidirectionalSequenceLstmLayer&quot;</span>);</div>
459<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160;}</div>
460<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; </div>
461<div class="line"><a name="l00363"></a><span class="lineno"><a class="line" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a29cc31172f6ab16ac931f90c667c092d"> 363</a></span>&#160;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">Layer::ImmutableConstantTensors</a> <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a29cc31172f6ab16ac931f90c667c092d">UnidirectionalSequenceLstmLayer::GetConstantTensorsByRef</a>()<span class="keyword"> const</span></div>
462<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160;<span class="keyword"></span>{</div>
463<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; <span class="comment">// For API stability DO NOT ALTER order and add new members to the end of vector</span></div>
464<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; <span class="keywordflow">return</span> {<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>,</div>
465<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>,</div>
466<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>,</div>
467<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>,</div>
468<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>,</div>
469<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>,</div>
470<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>,</div>
471<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>,</div>
472<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>,</div>
473<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; </div>
474<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; <span class="comment">// Cifg parameters</span></div>
475<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>,</div>
476<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>,</div>
477<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>,</div>
478<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160; </div>
479<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; <span class="comment">// Projection parameters</span></div>
480<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a3d3e6d0c3e6e570d9f831489c3bd14ce">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a>,</div>
481<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a3d3e6d0c3e6e570d9f831489c3bd14ce">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a>,</div>
482<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; </div>
483<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; <span class="comment">// Peephole parameters</span></div>
484<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a>,</div>
485<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a>,</div>
486<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a>,</div>
487<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; </div>
488<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; <span class="comment">// Layer normalisation parameters</span></div>
489<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a>,</div>
490<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a>,</div>
491<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a>,</div>
492<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a>};</div>
493<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160;}</div>
494<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; </div>
495<div class="line"><a name="l00397"></a><span class="lineno"><a class="line" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc"> 397</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">UnidirectionalSequenceLstmLayer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>&amp; strategy)<span class="keyword"> const</span></div>
496<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160;<span class="keyword"></span>{</div>
497<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; std::vector&lt;ConstTensor&gt; constTensors;</div>
498<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; </div>
499<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160; <a class="code" href="structarmnn_1_1_lstm_descriptor.html">LstmDescriptor</a> descriptor = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>();</div>
500<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160; </div>
501<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedInputToForgetWeights(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>);</div>
502<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedInputToCellWeights(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>);</div>
503<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedInputToOutputWeights(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>);</div>
504<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedRecurrentToForgetWeights(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>);</div>
505<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedRecurrentToCellWeights(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>);</div>
506<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedRecurrentToOutputWeights(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>);</div>
507<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedForgetGateBias(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>);</div>
508<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedCellBias(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>);</div>
509<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedOutputGateBias(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>);</div>
510<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; </div>
511<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; <span class="comment">// Cifg parameters</span></div>
512<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedInputToInputWeights(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>);</div>
513<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedRecurrentToInputWeights(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>);</div>
514<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedInputGateBias(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>);</div>
515<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; </div>
516<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; <span class="comment">// Projection parameters</span></div>
517<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedProjectionWeights(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a3d3e6d0c3e6e570d9f831489c3bd14ce">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a>);</div>
518<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedProjectionBias(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a3d3e6d0c3e6e570d9f831489c3bd14ce">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a>);</div>
519<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; </div>
520<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; <span class="comment">// Peephole parameters</span></div>
521<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedCellToInputWeights(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a>);</div>
522<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedCellToForgetWeights(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a>);</div>
523<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedCellToOutputWeights(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a>);</div>
524<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160; </div>
525<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160; <span class="comment">// Layer normalisation parameters</span></div>
526<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedInputLayerNormWeights(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a>);</div>
527<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedForgetLayerNormWeights(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a>);</div>
528<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedCellLayerNormWeights(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a>);</div>
529<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedOutputLayerNormWeights(<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a>);</div>
530<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; </div>
531<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160; <span class="comment">// First add mandatory/basic parameters</span></div>
532<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> != <span class="keyword">nullptr</span>)</div>
533<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; {</div>
534<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedInputToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
535<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; managedInputToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
536<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; }</div>
537<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> != <span class="keyword">nullptr</span>)</div>
538<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160; {</div>
539<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedInputToCellWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
540<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; managedInputToCellWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
541<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; }</div>
542<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> != <span class="keyword">nullptr</span>)</div>
543<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160; {</div>
544<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedInputToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
545<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160; managedInputToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
546<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; }</div>
547<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> != <span class="keyword">nullptr</span>)</div>
548<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; {</div>
549<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(</div>
550<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160; managedRecurrentToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
551<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160; managedRecurrentToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
552<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160; }</div>
553<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> != <span class="keyword">nullptr</span>)</div>
554<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160; {</div>
555<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(</div>
556<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160; managedRecurrentToCellWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
557<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>&#160; managedRecurrentToCellWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
558<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160; }</div>
559<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> != <span class="keyword">nullptr</span>)</div>
560<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160; {</div>
561<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(</div>
562<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160; managedRecurrentToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
563<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>&#160; managedRecurrentToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
564<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160; }</div>
565<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> != <span class="keyword">nullptr</span>)</div>
566<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160; {</div>
567<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedForgetGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
568<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; managedForgetGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
569<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160; }</div>
570<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a> != <span class="keyword">nullptr</span>)</div>
571<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160; {</div>
572<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedCellBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
573<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160; managedCellBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
574<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160; }</div>
575<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> != <span class="keyword">nullptr</span>)</div>
576<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160; {</div>
577<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedOutputGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
578<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160; managedOutputGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
579<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; }</div>
580<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160; </div>
581<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160; <span class="comment">// Add cifg parameters</span></div>
582<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160; <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
583<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160; {</div>
584<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> != <span class="keyword">nullptr</span>)</div>
585<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160; {</div>
586<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedInputToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
587<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160; managedInputToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
588<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160; }</div>
589<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> != <span class="keyword">nullptr</span>)</div>
590<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160; {</div>
591<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(</div>
592<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>&#160; managedRecurrentToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
593<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; managedRecurrentToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
594<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; }</div>
595<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> != <span class="keyword">nullptr</span>)</div>
596<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; {</div>
597<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedInputGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
598<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160; managedInputGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
599<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160; }</div>
600<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160; }</div>
601<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160; </div>
602<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160; <span class="comment">// Add peephole parameters</span></div>
603<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div>
604<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160; {</div>
605<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160; <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
606<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160; {</div>
607<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a> != <span class="keyword">nullptr</span>)</div>
608<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160; {</div>
609<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedCellToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
610<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; managedCellToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
611<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160; }</div>
612<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160; }</div>
613<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a> != <span class="keyword">nullptr</span>)</div>
614<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160; {</div>
615<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedCellToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
616<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160; managedCellToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
617<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160; }</div>
618<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a> != <span class="keyword">nullptr</span>)</div>
619<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160; {</div>
620<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedCellToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
621<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>&#160; managedCellToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
622<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>&#160; }</div>
623<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>&#160; }</div>
624<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; </div>
625<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160; <span class="comment">// Add projection parameters</span></div>
626<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>&#160; <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div>
627<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160; {</div>
628<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a3d3e6d0c3e6e570d9f831489c3bd14ce">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a> != <span class="keyword">nullptr</span>)</div>
629<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160; {</div>
630<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedProjectionWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
631<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160; managedProjectionWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
632<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>&#160; }</div>
633<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a3d3e6d0c3e6e570d9f831489c3bd14ce">m_ProjectionParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div>
634<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>&#160; {</div>
635<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedProjectionBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
636<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160; managedProjectionBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
637<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160; }</div>
638<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160; }</div>
639<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160; </div>
640<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160; <span class="comment">// Add norm parameters</span></div>
641<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160; <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div>
642<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160; {</div>
643<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160; <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
644<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160; {</div>
645<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a> != <span class="keyword">nullptr</span>)</div>
646<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160; {</div>
647<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedInputLayerNormWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
648<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; managedInputLayerNormWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
649<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160; }</div>
650<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160; }</div>
651<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a> != <span class="keyword">nullptr</span>)</div>
652<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; {</div>
653<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedForgetLayerNormWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
654<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160; managedForgetLayerNormWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
655<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160; }</div>
656<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a> != <span class="keyword">nullptr</span>)</div>
657<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160; {</div>
658<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedCellLayerNormWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
659<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>&#160; managedCellLayerNormWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
660<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>&#160; }</div>
661<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>.<a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a> != <span class="keyword">nullptr</span>)</div>
662<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160; {</div>
663<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedOutputLayerNormWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div>
664<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160; managedOutputLayerNormWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
665<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160; }</div>
666<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160; }</div>
667<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160; </div>
668<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160; strategy.<a class="code" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">ExecuteStrategy</a>(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), constTensors, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
669<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>&#160;}</div>
670<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>&#160; </div>
671<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>&#160;} <span class="comment">// namespace armnn</span></div>
672</div><!-- fragment --></div><!-- contents -->
673</div><!-- doc-content -->
674<div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_html_a88ce933cddc0e32e2f17fd699185b0eb"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a88ce933cddc0e32e2f17fd699185b0eb">armnn::UnidirectionalSequenceLstmLayer::Clone</a></div><div class="ttdeci">UnidirectionalSequenceLstmLayer * Clone(Graph &amp;graph) const override</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8cpp_source.html#l00080">UnidirectionalSequenceLstmLayer.cpp:80</a></div></div>
675<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a6e9593869b82984de198fed27f72cdcf"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00736">WorkloadData.hpp:736</a></div></div>
676<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_ac18c8b8b2039267d8282e91b4162d8aa"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00729">WorkloadData.hpp:729</a></div></div>
677<div class="ttc" id="astructarmnn_1_1_lstm_opt_projection_parameters_html_aa8f5cf5d5130fefb77d2327dca341591"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">armnn::LstmOptProjectionParameters::m_ProjectionWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_ProjectionWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00039">LstmParameters.hpp:39</a></div></div>
678<div class="ttc" id="astructarmnn_1_1_lstm_opt_layer_norm_parameters_html_a9c441c2706cbd0e925c02cdcb8916669"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">armnn::LstmOptLayerNormParameters::m_OutputLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_OutputLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00023">LstmParameters.hpp:23</a></div></div>
679<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a3dcd10ca3ea2e132558b1e2814668c15"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#a3dcd10ca3ea2e132558b1e2814668c15">armnn::LstmDescriptor::m_TimeMajor</a></div><div class="ttdeci">bool m_TimeMajor</div><div class="ttdoc">Enable/disable time major.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01154">Descriptors.hpp:1154</a></div></div>
680<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00100">Layer.cpp:100</a></div></div>
681<div class="ttc" id="astructarmnn_1_1_lstm_basic_parameters_html_ad3f42762262330534a4be0dde29a1318"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">armnn::LstmBasicParameters::m_InputToCellWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_InputToCellWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00059">LstmParameters.hpp:59</a></div></div>
682<div class="ttc" id="astructarmnn_1_1_lstm_opt_layer_norm_parameters_html_a47786528c742271a3937535426934219"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">armnn::LstmOptLayerNormParameters::m_InputLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_InputLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00017">LstmParameters.hpp:17</a></div></div>
683<div class="ttc" id="a_types_utils_8hpp_html"><div class="ttname"><a href="_types_utils_8hpp.html">TypesUtils.hpp</a></div></div>
684<div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_html_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::UnidirectionalSequenceLstmLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateWorkload(const IWorkloadFactory &amp;factory) const override</div><div class="ttdoc">Makes a workload for the UnidirectionalSequence LSTM type.</div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8cpp_source.html#l00022">UnidirectionalSequenceLstmLayer.cpp:22</a></div></div>
685<div class="ttc" id="astructarmnn_1_1_lstm_opt_cifg_parameters_html_a85684ffb2d12d0d04fbd188591488a2c"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">armnn::LstmOptCifgParameters::m_InputGateBias</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_InputGateBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00033">LstmParameters.hpp:33</a></div></div>
686<div class="ttc" id="astructarmnn_1_1_lstm_opt_peephole_parameters_html_a9eb0e6bb91acbf59117a1460ce1dfd29"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">armnn::LstmOptPeepholeParameters::m_CellToInputWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_CellToInputWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00047">LstmParameters.hpp:47</a></div></div>
687<div class="ttc" id="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div>
688<div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &amp;outputShape, const TensorShape &amp;inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &amp;layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00457">Layer.cpp:457</a></div></div>
689<div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_html_a8838b317568861294a9df608221f185e"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">armnn::UnidirectionalSequenceLstmLayer::m_BasicParameters</a></div><div class="ttdeci">LstmBasicParameters m_BasicParameters</div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8hpp_source.html#l00020">UnidirectionalSequenceLstmLayer.hpp:20</a></div></div>
690<div class="ttc" id="aclassarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot &amp; GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00339">Layer.hpp:339</a></div></div>
691<div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_html_a29cc31172f6ab16ac931f90c667c092d"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a29cc31172f6ab16ac931f90c667c092d">armnn::UnidirectionalSequenceLstmLayer::GetConstantTensorsByRef</a></div><div class="ttdeci">Layer::ImmutableConstantTensors GetConstantTensorsByRef() const override</div><div class="ttdoc">Retrieve the handles to the constant values stored by the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8cpp_source.html#l00363">UnidirectionalSequenceLstmLayer.cpp:363</a></div></div>
692<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a1dbad32cad5c0437e1272f59fedf52ea"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00740">WorkloadData.hpp:740</a></div></div>
693<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a17ba1c8bcc71a55a95b2a3913f8cb203"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00726">WorkloadData.hpp:726</a></div></div>
694<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a0e0f66bd03c88f3d2dc666f581d3cf12"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00743">WorkloadData.hpp:743</a></div></div>
695<div class="ttc" id="aclassarmnn_1_1_i_strategy_html"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.html#l00016">IStrategy.hpp:16</a></div></div>
696<div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.html">armnn::ManagedConstTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00187">TensorHandle.hpp:187</a></div></div>
697<div class="ttc" id="aclassarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot &amp; GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00337">Layer.hpp:337</a></div></div>
698<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_afa3e8a8f23589b1eaddbe203825bbdcf"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">armnn::LayerWithParameters&lt; LstmDescriptor &gt;::GetParameters</a></div><div class="ttdeci">const LstmDescriptor &amp; GetParameters() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters.hpp:19</a></div></div>
699<div class="ttc" id="astructarmnn_1_1_lstm_opt_projection_parameters_html_aa840abfe1cb869bce3d6daaebd2e86a7"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">armnn::LstmOptProjectionParameters::m_ProjectionBias</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_ProjectionBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [output_size].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00041">LstmParameters.hpp:41</a></div></div>
700<div class="ttc" id="astructarmnn_1_1_lstm_basic_parameters_html_a3d4f6f42e10ba6f808a5244bb7853e7e"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">armnn::LstmBasicParameters::m_InputToOutputWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_InputToOutputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00061">LstmParameters.hpp:61</a></div></div>
701<div class="ttc" id="a_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div>
702<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a5ff4158b1b363b898d0da04c42d37ce0"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00737">WorkloadData.hpp:737</a></div></div>
703<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html">armnn::LayerWithParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00014">LayerWithParameters.hpp:14</a></div></div>
704<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_ad9442e26aa79f896da5f404ab825a9c8"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00741">WorkloadData.hpp:741</a></div></div>
705<div class="ttc" id="aclassarmnn_1_1_layer_html_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00332">Layer.hpp:332</a></div></div>
706<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_aab77f54a037658ca9b2bf9cc8a1fadf1"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00724">WorkloadData.hpp:724</a></div></div>
707<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a4c27716f61bb68e8ea0bd4e8389ba01a"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00730">WorkloadData.hpp:730</a></div></div>
708<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_aba5c20cadbebd2e7ba67e20a47e31472"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">armnn::IConnectableLayer::ImmutableConstantTensors</a></div><div class="ttdeci">std::vector&lt; std::reference_wrapper&lt; const std::shared_ptr&lt; ConstTensorHandle &gt; &gt;&gt; ImmutableConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00141">INetwork.hpp:141</a></div></div>
709<div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00614">Layer.cpp:614</a></div></div>
710<div class="ttc" id="astructarmnn_1_1_lstm_basic_parameters_html_af7f44bcc5b6cf669268a9ac0ff1446be"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">armnn::LstmBasicParameters::m_ForgetGateBias</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_ForgetGateBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00069">LstmParameters.hpp:69</a></div></div>
711<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a3ead2ef8da00b2709d561d85996fc513"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00738">WorkloadData.hpp:738</a></div></div>
712<div class="ttc" id="astructarmnn_1_1_lstm_opt_layer_norm_parameters_html_a1f9668b1a4c275966aadeec9a4c11347"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">armnn::LstmOptLayerNormParameters::m_CellLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_CellLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00021">LstmParameters.hpp:21</a></div></div>
713<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#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.html#l01148">Descriptors.hpp:1148</a></div></div>
714<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
715<div class="ttc" id="a_lstm_params_8hpp_html"><div class="ttname"><a href="_lstm_params_8hpp.html">LstmParams.hpp</a></div></div>
716<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_ad32ac22bc72e28dfd6b466d143c8e262"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">armnn::LayerWithParameters&lt; LstmDescriptor &gt;::m_Param</a></div><div class="ttdeci">LstmDescriptor m_Param</div><div class="ttdoc">The parameters for the layer (not including tensor-valued weights etc.).</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters.hpp:52</a></div></div>
717<div class="ttc" id="astructarmnn_1_1_lstm_opt_cifg_parameters_html_addfb6b081817510deb924c8fb5ce216c"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">armnn::LstmOptCifgParameters::m_RecurrentToInputWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_RecurrentToInputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00031">LstmParameters.hpp:31</a></div></div>
718<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">armnn::LayerWithParameters&lt; LstmDescriptor &gt;::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &amp;descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *Layer::CreateWorkload.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters.hpp:44</a></div></div>
719<div class="ttc" id="aclassarmnn_1_1_layer_validation_exception_html"><div class="ttname"><a href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00105">Exceptions.hpp:105</a></div></div>
720<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00022">WorkloadFactory.hpp:22</a></div></div>
721<div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &amp;outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00526">Layer.cpp:526</a></div></div>
722<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a29fa293fffbf9c6f00cd75db1dc0a52a"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00735">WorkloadData.hpp:735</a></div></div>
723<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a44eb7524badcca9b2073359e3814c98b"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00734">WorkloadData.hpp:734</a></div></div>
724<div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_html_a85e02725184184331cc2e3b00642be47"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">armnn::ManagedConstTensorHandle::Map</a></div><div class="ttdeci">const void * Map(bool blocking=true)</div><div class="ttdoc">RAII Managed resource Unmaps MemoryArea once out of scope.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00196">TensorHandle.hpp:196</a></div></div>
725<div class="ttc" id="aclassarmnn_1_1_layer_html_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &amp;descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00303">Layer.cpp:303</a></div></div>
726<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a951b7c90b862138071a298065f16be61"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00731">WorkloadData.hpp:731</a></div></div>
727<div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_html_a94263c57dc4605c14907c03f54f44069"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a94263c57dc4605c14907c03f54f44069">armnn::UnidirectionalSequenceLstmLayer::UnidirectionalSequenceLstmLayer</a></div><div class="ttdeci">UnidirectionalSequenceLstmLayer(const LstmDescriptor &amp;param, const char *name)</div><div class="ttdoc">Constructor to create a UnidirectionalSequenceLstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8cpp_source.html#l00017">UnidirectionalSequenceLstmLayer.cpp:17</a></div></div>
728<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_aa09f7bdb9fd0d06b6386e412a4e72dd6"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00733">WorkloadData.hpp:733</a></div></div>
729<div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_html_a4efa0f4d46817ab94e36c8507c26f276"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a4efa0f4d46817ab94e36c8507c26f276">armnn::UnidirectionalSequenceLstmLayer::m_PeepholeParameters</a></div><div class="ttdeci">LstmOptPeepholeParameters m_PeepholeParameters</div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8hpp_source.html#l00023">UnidirectionalSequenceLstmLayer.hpp:23</a></div></div>
730<div class="ttc" id="astructarmnn_1_1_lstm_basic_parameters_html_a950c538e326db48f4c26a354c2b982e3"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">armnn::LstmBasicParameters::m_OutputGateBias</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_OutputGateBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00073">LstmParameters.hpp:73</a></div></div>
731<div class="ttc" id="astructarmnn_1_1_lstm_basic_parameters_html_a21a90800797f1e122bc44d7022001558"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">armnn::LstmBasicParameters::m_CellBias</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_CellBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00071">LstmParameters.hpp:71</a></div></div>
732<div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_html"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html">armnn::UnidirectionalSequenceLstmLayer</a></div><div class="ttdoc">This layer represents a LSTM operation.</div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8hpp_source.html#l00016">UnidirectionalSequenceLstmLayer.hpp:16</a></div></div>
733<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_adf8571dd1867ee91082bd005f94f2610"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00728">WorkloadData.hpp:728</a></div></div>
734<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a20c10fcb26657477377d07b7b1e13120"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00732">WorkloadData.hpp:732</a></div></div>
735<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a299587d4f3fca029492700f3e2585bd8"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00727">WorkloadData.hpp:727</a></div></div>
736<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_ab160eba2493d5fe52185c0986dcb190c"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00723">WorkloadData.hpp:723</a></div></div>
737<div class="ttc" id="astructarmnn_1_1_lstm_opt_cifg_parameters_html_a281954ff495d27f7a29e42a98768c670"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">armnn::LstmOptCifgParameters::m_InputToInputWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_InputToInputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00029">LstmParameters.hpp:29</a></div></div>
738<div class="ttc" id="a_unidirectional_sequence_lstm_layer_8hpp_html"><div class="ttname"><a href="_unidirectional_sequence_lstm_layer_8hpp.html">UnidirectionalSequenceLstmLayer.hpp</a></div></div>
739<div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_html_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::UnidirectionalSequenceLstmLayer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &amp;strategy) const override</div><div class="ttdoc">Apply a visitor to this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8cpp_source.html#l00397">UnidirectionalSequenceLstmLayer.cpp:397</a></div></div>
740<div class="ttc" id="astructarmnn_1_1_lstm_basic_parameters_html_aafad117fb253359c1d472c9faefe49ef"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">armnn::LstmBasicParameters::m_InputToForgetWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_InputToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00057">LstmParameters.hpp:57</a></div></div>
741<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01102">Descriptors.hpp:1102</a></div></div>
742<div class="ttc" id="a_tensor_handle_8hpp_html"><div class="ttname"><a href="_tensor_handle_8hpp.html">TensorHandle.hpp</a></div></div>
743<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#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.html#l01146">Descriptors.hpp:1146</a></div></div>
744<div class="ttc" id="astructarmnn_1_1_lstm_basic_parameters_html_a608ed1a3d4135921ce33a286a87a072b"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">armnn::LstmBasicParameters::m_RecurrentToCellWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_RecurrentToCellWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00065">LstmParameters.hpp:65</a></div></div>
745<div class="ttc" id="astructarmnn_1_1_lstm_basic_parameters_html_a1dd41cd674924907643cb088070a65d3"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">armnn::LstmBasicParameters::m_RecurrentToForgetWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_RecurrentToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00063">LstmParameters.hpp:63</a></div></div>
746<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div>
747<div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a65ca562c882ad619684445a1402f415a">armnn::UnidirectionalSequenceLstmLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector&lt; TensorShape &gt; InferOutputShapes(const std::vector&lt; TensorShape &gt; &amp;inputShapes) const override</div><div class="ttdoc">By default returns inputShapes if the number of inputs are equal to number of outputs,...</div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8cpp_source.html#l00150">UnidirectionalSequenceLstmLayer.cpp:150</a></div></div>
748<div class="ttc" id="astructarmnn_1_1_lstm_basic_parameters_html_addad136e04521a1d31cbebf7280c312e"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">armnn::LstmBasicParameters::m_RecurrentToOutputWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_RecurrentToOutputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00067">LstmParameters.hpp:67</a></div></div>
749<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#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.html#l01152">Descriptors.hpp:1152</a></div></div>
750<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_ac668b31de6fb0f19d4c793d5ed3c3316"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00739">WorkloadData.hpp:739</a></div></div>
751<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">armnn::LayerType::UnidirectionalSequenceLstm</a></div><div class="ttdeci">@ UnidirectionalSequenceLstm</div></div>
752<div class="ttc" id="astructarmnn_1_1_lstm_opt_peephole_parameters_html_aeff3e3b8715c568fdff74a25ec40facb"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">armnn::LstmOptPeepholeParameters::m_CellToOutputWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_CellToOutputWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00051">LstmParameters.hpp:51</a></div></div>
753<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
754<div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_html_a46864a690d016b7e00eb51a5bfe8e966"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a46864a690d016b7e00eb51a5bfe8e966">armnn::UnidirectionalSequenceLstmLayer::m_LayerNormParameters</a></div><div class="ttdeci">LstmOptLayerNormParameters m_LayerNormParameters</div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8hpp_source.html#l00024">UnidirectionalSequenceLstmLayer.hpp:24</a></div></div>
755<div class="ttc" id="astructarmnn_1_1_lstm_opt_layer_norm_parameters_html_af03d5f9789e673011a9fa19a699530db"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">armnn::LstmOptLayerNormParameters::m_ForgetLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_ForgetLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00019">LstmParameters.hpp:19</a></div></div>
756<div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_html_a0e940dfa428f4eb429f8bc0d138b20af"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a0e940dfa428f4eb429f8bc0d138b20af">armnn::UnidirectionalSequenceLstmLayer::m_CifgParameters</a></div><div class="ttdeci">LstmOptCifgParameters m_CifgParameters</div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8hpp_source.html#l00021">UnidirectionalSequenceLstmLayer.hpp:21</a></div></div>
757<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#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.html#l01150">Descriptors.hpp:1150</a></div></div>
758<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a841439e3b8dc157a7368b19c9ecb7d03"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00725">WorkloadData.hpp:725</a></div></div>
759<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html">armnn::UnidirectionalSequenceLstmQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00696">WorkloadData.hpp:696</a></div></div>
760<div class="ttc" id="aclassarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00329">Tensor.hpp:329</a></div></div>
761<div class="ttc" id="aclassarmnn_1_1_layer_html_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &amp;location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00410">Layer.cpp:410</a></div></div>
762<div class="ttc" id="aclassarmnn_1_1_layer_html_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">armnn::Layer::m_ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_ShapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00441">Layer.hpp:441</a></div></div>
763<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00491">Types.hpp:491</a></div></div>
764<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_aeef6f1ac3efad8ec8b0a7118652b64c9"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">armnn::UnidirectionalSequenceLstmQueueDescriptor::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#l00742">WorkloadData.hpp:742</a></div></div>
765<div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_html_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8c8f543d7e9729362c266d12ec169966">armnn::UnidirectionalSequenceLstmLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdoc">Check if the input tensor shape(s) will lead to a valid configuration of UnidirectionalSequenceLstmLa...</div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8cpp_source.html#l00172">UnidirectionalSequenceLstmLayer.cpp:172</a></div></div>
766<div class="ttc" id="aclassarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00030">Graph.hpp:30</a></div></div>
767<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html_a694a8411c8c799da95306034d274930b"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">armnn::IWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateWorkload(LayerType type, const QueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const =0</div><div class="ttdoc">Backends should implement their own CreateWorkload function with a switch statement.</div></div>
768<div class="ttc" id="aclassarmnn_1_1_i_strategy_html_ad4f8c9ff973cf6a603d26b56c5b34967"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">armnn::IStrategy::ExecuteStrategy</a></div><div class="ttdeci">virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &amp;descriptor, const std::vector&lt; armnn::ConstTensor &gt; &amp;constants, const char *name, const armnn::LayerBindingId id=0)=0</div></div>
769<div class="ttc" id="a_layer_clone_base_8hpp_html"><div class="ttname"><a href="_layer_clone_base_8hpp.html">LayerCloneBase.hpp</a></div></div>
770<div class="ttc" id="astructarmnn_1_1_lstm_opt_peephole_parameters_html_a0ccce0cf0ae71e89b20dfa48645494c8"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">armnn::LstmOptPeepholeParameters::m_CellToForgetWeights</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_CellToForgetWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00049">LstmParameters.hpp:49</a></div></div>
771<div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_html_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">armnn::ManagedConstTensorHandle::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#l00239">TensorHandle.hpp:239</a></div></div>
772<div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_html_a3d3e6d0c3e6e570d9f831489c3bd14ce"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a3d3e6d0c3e6e570d9f831489c3bd14ce">armnn::UnidirectionalSequenceLstmLayer::m_ProjectionParameters</a></div><div class="ttdeci">LstmOptProjectionParameters m_ProjectionParameters</div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8hpp_source.html#l00022">UnidirectionalSequenceLstmLayer.hpp:22</a></div></div>
773<div class="ttc" id="a_exceptions_8hpp_html_a5b0cd1f24b12298894d6367f186ea6dc"><div class="ttname"><a href="_exceptions_8hpp.html#a5b0cd1f24b12298894d6367f186ea6dc">ARMNN_THROW_INVALIDARG_MSG_IF_FALSE</a></div><div class="ttdeci">#define ARMNN_THROW_INVALIDARG_MSG_IF_FALSE(_cond, _str)</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00210">Exceptions.hpp:210</a></div></div>
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