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96<div class="title">ClQLstmWorkload.cpp</div> </div>
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98<div class="contents">
99<a href="_cl_q_lstm_workload_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 © 2020-2023 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; </div>
104<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_q_lstm_workload_8hpp.html">ClQLstmWorkload.hpp</a>&quot;</span></div>
105<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.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 &quot;<a class="code" href="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.hpp</a>&quot;</span></div>
108<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160; </div>
109<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_tensor_handle_8hpp.html">cl/ClTensorHandle.hpp</a>&quot;</span></div>
110<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160; </div>
111<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
112<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;{</div>
113<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="keyword">using namespace </span>armcomputetensorutils;</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_cl_q_lstm_workload.html#aa0855b04b89398245ed96acb020f24c4"> 17</a></span>&#160;<a class="code" href="classarmnn_1_1_cl_q_lstm_workload.html#aa0855b04b89398245ed96acb020f24c4">ClQLstmWorkload::ClQLstmWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html">QLstmQueueDescriptor</a>&amp; descriptor,</div>
116<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>&amp; info,</div>
117<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; <span class="keyword">const</span> arm_compute::CLCompileContext&amp; clCompileContext)</div>
118<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; : <a class="code" href="classarmnn_1_1_cl_base_workload.html">ClBaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html">QLstmQueueDescriptor</a>&gt;(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</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"> 22</span>&#160; <span class="comment">// Report Profiling Details</span></div>
121<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">&quot;ClQLstmWorkload_Construct&quot;</span>,</div>
122<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>,</div>
123<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div>
124<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; this-&gt;GetGuid());</div>
125<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; </div>
126<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; arm_compute::LSTMParams&lt;arm_compute::ICLTensor&gt; qLstmParams;</div>
127<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; </div>
128<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="comment">// Mandatory params</span></div>
129<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; m_InputToForgetWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
130<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; BuildArmComputeTensor(*m_InputToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
131<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; </div>
132<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; m_InputToCellWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
133<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; BuildArmComputeTensor(*m_InputToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
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; m_InputToOutputWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
136<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; BuildArmComputeTensor(*m_InputToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
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; m_RecurrentToForgetWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
139<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; BuildArmComputeTensor(*m_RecurrentToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
140<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; </div>
141<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; m_RecurrentToCellWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
142<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; BuildArmComputeTensor(*m_RecurrentToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
143<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; </div>
144<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; m_RecurrentToOutputWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
145<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; BuildArmComputeTensor(*m_RecurrentToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
146<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; </div>
147<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; m_ForgetGateBiasTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
148<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; BuildArmComputeTensor(*m_ForgetGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
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; m_CellBiasTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
151<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; BuildArmComputeTensor(*m_CellBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
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; m_OutputGateBiasTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
154<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; BuildArmComputeTensor(*m_OutputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
155<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; </div>
156<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="comment">// Create tensors for optional params if they are enabled</span></div>
157<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div>
158<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; {</div>
159<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; m_CellToInputWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</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="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
162<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; {</div>
163<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="comment">// In ACL this is categorised as a CIFG param and not a Peephole param</span></div>
164<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; BuildArmComputeTensor(*m_CellToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
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; </div>
167<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; m_CellToForgetWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
168<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; BuildArmComputeTensor(*m_CellToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">m_CellToForgetWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
169<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; </div>
170<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; m_CellToOutputWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
171<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; BuildArmComputeTensor(*m_CellToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">m_CellToOutputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
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; <span class="comment">// Set Peephole params</span></div>
174<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; qLstmParams.set_peephole_params(m_CellToForgetWeightsTensor.get(),</div>
175<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; m_CellToOutputWeightsTensor.get());</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"> 80</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div>
179<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; {</div>
180<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; m_ProjectionWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
181<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; BuildArmComputeTensor(*m_ProjectionWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
182<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; </div>
183<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; m_ProjectionBiasTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
184<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div>
185<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; {</div>
186<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; BuildArmComputeTensor(*m_ProjectionBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
187<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; }</div>
188<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; </div>
189<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="comment">// Set projection params</span></div>
190<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; qLstmParams.set_projection_params(</div>
191<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; m_ProjectionWeightsTensor.get(),</div>
192<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a> != <span class="keyword">nullptr</span> ? m_ProjectionBiasTensor.get() : <span class="keyword">nullptr</span>);</div>
193<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; }</div>
194<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; </div>
195<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div>
196<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; {</div>
197<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; m_InputLayerNormWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
198<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; </div>
199<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
200<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; {</div>
201<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; BuildArmComputeTensor(*m_InputLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
202<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; }</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; m_ForgetLayerNormWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
205<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; BuildArmComputeTensor(*m_ForgetLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
206<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; </div>
207<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; m_CellLayerNormWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
208<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; BuildArmComputeTensor(*m_CellLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
209<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; </div>
210<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; m_OutputLayerNormWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
211<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; BuildArmComputeTensor(*m_OutputLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
212<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; </div>
213<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <span class="comment">// Set layer norm params</span></div>
214<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; qLstmParams.set_layer_normalization_params(</div>
215<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a> != <span class="keyword">nullptr</span> ? m_InputLayerNormWeightsTensor.get() : <span class="keyword">nullptr</span>,</div>
216<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; m_ForgetLayerNormWeightsTensor.get(),</div>
217<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; m_CellLayerNormWeightsTensor.get(),</div>
218<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; m_OutputLayerNormWeightsTensor.get());</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; </div>
221<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
222<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; {</div>
223<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; m_InputToInputWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
224<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; BuildArmComputeTensor(*m_InputToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
225<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; </div>
226<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; m_RecurrentToInputWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
227<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; BuildArmComputeTensor(*m_RecurrentToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
228<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; </div>
229<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; m_InputGateBiasTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
230<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; BuildArmComputeTensor(*m_InputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
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; <span class="comment">// Set CIFG params</span></div>
233<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; qLstmParams.set_cifg_params(</div>
234<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; m_InputToInputWeightsTensor.get(),</div>
235<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; m_RecurrentToInputWeightsTensor.get(),</div>
236<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a> != <span class="keyword">nullptr</span> ? m_CellToInputWeightsTensor.get() : <span class="keyword">nullptr</span>,</div>
237<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; m_InputGateBiasTensor.get());</div>
238<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; }</div>
239<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; </div>
240<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="comment">// Input/Output tensors</span></div>
241<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keyword">const</span> arm_compute::ICLTensor&amp; input = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])-&gt;GetTensor();</div>
242<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; arm_compute::ICLTensor&amp; outputStateIn = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[1])-&gt;GetTensor();</div>
243<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; arm_compute::ICLTensor&amp; cellStateIn = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[2])-&gt;GetTensor();</div>
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; arm_compute::ICLTensor&amp; outputStateOut = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])-&gt;GetTensor();</div>
246<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; arm_compute::ICLTensor&amp; cellStateOut = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[1])-&gt;GetTensor();</div>
247<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; arm_compute::ICLTensor&amp; output = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[2])-&gt;GetTensor();</div>
248<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; </div>
249<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="comment">// Set scalar descriptor params</span></div>
250<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; qLstmParams.set_cell_clip_params(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ac81fb0e66dc623dc37c77f219f53a6d3">m_CellClip</a>);</div>
251<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; qLstmParams.set_projection_clip_params(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#aa6a518b65088f34803b3214334bdff61">m_ProjectionClip</a>);</div>
252<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; qLstmParams.set_hidden_state_params(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4556cbd764d4848d8ad0637a9eed580d">m_HiddenStateZeroPoint</a>,</div>
253<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a>);</div>
254<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; qLstmParams.set_matmul_scale_params(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a09e1f097944f61cc901240f9300364cf">m_InputIntermediateScale</a>,</div>
255<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#afec7f36158448f723b426a9527acb189">m_ForgetIntermediateScale</a>,</div>
256<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a0477ee1b44ace6090119178eea78cb0b">m_CellIntermediateScale</a>,</div>
257<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#aa43409f9b457352c95c89f20ce5d844d">m_OutputIntermediateScale</a>);</div>
258<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; </div>
259<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; {</div>
260<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">&quot;ClQLstmWorkload_configure&quot;</span>);</div>
261<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <span class="comment">// QLSTM CL configure</span></div>
262<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; m_QLstmLayer.configure(clCompileContext,</div>
263<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; &amp;input,</div>
264<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; m_InputToForgetWeightsTensor.get(),</div>
265<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; m_InputToCellWeightsTensor.get(),</div>
266<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; m_InputToOutputWeightsTensor.get(),</div>
267<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; m_RecurrentToForgetWeightsTensor.get(),</div>
268<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; m_RecurrentToCellWeightsTensor.get(),</div>
269<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; m_RecurrentToOutputWeightsTensor.get(),</div>
270<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; m_ForgetGateBiasTensor.get(),</div>
271<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; m_CellBiasTensor.get(),</div>
272<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; m_OutputGateBiasTensor.get(),</div>
273<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; &amp;cellStateIn,</div>
274<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; &amp;outputStateIn,</div>
275<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; &amp;cellStateOut,</div>
276<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; &amp;outputStateOut,</div>
277<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; &amp;output,</div>
278<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; qLstmParams);</div>
279<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; }</div>
280<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; </div>
281<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <span class="comment">// Initialise ACL tensor data for mandatory params</span></div>
282<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_InputToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a>);</div>
283<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_InputToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a>);</div>
284<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_InputToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a>);</div>
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; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_RecurrentToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a>);</div>
287<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_RecurrentToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a>);</div>
288<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_RecurrentToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a>);</div>
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; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_ForgetGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a>);</div>
291<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_CellBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a>);</div>
292<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_OutputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a>);</div>
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="comment">// Initialise ACL tensor data for optional params</span></div>
295<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
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; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_InputToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a>);</div>
298<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_RecurrentToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a>);</div>
299<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_InputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a>);</div>
300<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; }</div>
301<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; </div>
302<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div>
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; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_ProjectionWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a>);</div>
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">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div>
307<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; {</div>
308<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_ProjectionBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a>);</div>
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; }</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">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div>
313<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; {</div>
314<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
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; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_CellToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a>);</div>
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; </div>
319<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_CellToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">m_CellToForgetWeights</a>);</div>
320<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_CellToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">m_CellToOutputWeights</a>);</div>
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; </div>
323<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div>
324<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; {</div>
325<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
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; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_InputLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a>);</div>
328<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; }</div>
329<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_ForgetLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a>);</div>
330<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_CellLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a>);</div>
331<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; <a class="code" href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">InitializeArmComputeClTensorData</a>(*m_OutputLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a>);</div>
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; m_QLstmLayer.prepare();</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; FreeUnusedTensors();</div>
337<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160;}</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"><a class="line" href="classarmnn_1_1_cl_q_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a"> 241</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_q_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">ClQLstmWorkload::Execute</a>()<span class="keyword"> const</span></div>
340<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;<span class="keyword"></span>{</div>
341<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">&quot;ClQuantizedLstmWorkload_Execute&quot;</span>);</div>
342<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; m_QLstmLayer.run();</div>
343<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160;}</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"><a class="line" href="namespacearmnn.html#a8cdb508cb0ebc06e39dc1661815d73b0"> 247</a></span>&#160;<a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#a8cdb508cb0ebc06e39dc1661815d73b0">ClQLstmWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
346<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; cellStateIn,</div>
347<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputStateIn,</div>
348<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; cellStateOut,</div>
349<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputStateOut,</div>
350<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
351<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.html">QLstmDescriptor</a>&amp; descriptor,</div>
352<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.html">LstmInputParamsInfo</a>&amp; paramsInfo)</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; arm_compute::LSTMParams&lt;arm_compute::ITensorInfo&gt; aclParamsInfo;</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="comment">// Input/Output tensor info</span></div>
357<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);</div>
358<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclOutputStateInInfo = BuildArmComputeTensorInfo(outputStateIn);</div>
359<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclCellStateInInfo = BuildArmComputeTensorInfo(cellStateIn);</div>
360<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; </div>
361<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclOutputStateOutInfo = BuildArmComputeTensorInfo(outputStateOut);</div>
362<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclCellStateOutInfo = BuildArmComputeTensorInfo(cellStateOut);</div>
363<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);</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; <span class="comment">// Mandatory tensor info</span></div>
366<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputToForgetWeightsInfo</div>
367<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#a7dac08f19a1b235d5256d39136848a09">GetInputToForgetWeights</a>());</div>
368<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputToCellWeightsInfo</div>
369<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#a3b3c26330a05bf4ea40f8a6b402be354">GetInputToCellWeights</a>());</div>
370<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputToOutputWeightsInfo</div>
371<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#a800adf0f61e84d706060f63037c1a336">GetInputToOutputWeights</a>());</div>
372<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToForgetWeightsInfo</div>
373<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#a534af7e4f3a6d50a6dab05abc245133d">GetRecurrentToForgetWeights</a>());</div>
374<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToCellWeightsInfo</div>
375<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#ae5bfdd423b16f990c1713ef9f91f947b">GetRecurrentToCellWeights</a>());</div>
376<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToOutputWeightsInfo</div>
377<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#afe4d25acd31b98dee6f6b28d4d756071">GetRecurrentToOutputWeights</a>());</div>
378<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclForgetGateBiasInfo</div>
379<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#ac81393ef433b0c7c337f9f0d55f41ae4">GetForgetGateBias</a>());</div>
380<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclCellBiasInfo</div>
381<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#ad5f4be37766b41f342dd196cb1c6e141">GetCellBias</a>());</div>
382<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclOutputGateBiasInfo</div>
383<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#ae0da94ba17ce67b95b5b9d6e5adc4271">GetOutputGateBias</a>());</div>
384<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; </div>
385<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; <span class="comment">// Optional tensor info</span></div>
386<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; arm_compute::TensorInfo aclInputToInputWeightsInfo;</div>
387<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; arm_compute::TensorInfo aclRecurrentToInputWeightsInfo;</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; arm_compute::TensorInfo aclCellToInputWeightsInfo;</div>
390<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; arm_compute::TensorInfo aclCellToForgetWeightsInfo;</div>
391<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; arm_compute::TensorInfo aclCellToOutputWeightsInfo;</div>
392<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; </div>
393<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; arm_compute::TensorInfo aclInputGateBiasInfo;</div>
394<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; </div>
395<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; arm_compute::TensorInfo aclProjectionWeightsInfo;</div>
396<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; arm_compute::TensorInfo aclProjectionBiasInfo;</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; arm_compute::TensorInfo aclInputLayerNormWeightsInfo;</div>
399<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; arm_compute::TensorInfo aclForgetLayerNormWeightsInfo;</div>
400<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; arm_compute::TensorInfo aclCellLayerNormWeightsInfo;</div>
401<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; arm_compute::TensorInfo aclOutputLayerNormWeightsInfo;</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="comment">// Create tensor info for optional params if they are enabled</span></div>
404<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div>
405<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; {</div>
406<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
407<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; {</div>
408<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; aclCellToInputWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#a36fa9439fda2e72234411956a1c7e64f">GetCellToInputWeights</a>());</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; aclCellToForgetWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#a0e31db1891d11bbe0d8556c01e9812ef">GetCellToForgetWeights</a>());</div>
412<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; aclCellToOutputWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#a35825b1ec5bc2b14c8eac60887dbcf19">GetCellToOutputWeights</a>());</div>
413<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; </div>
414<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; <span class="comment">// Set peephole params info</span></div>
415<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; aclParamsInfo.set_peephole_params(&amp;aclCellToForgetWeightsInfo,</div>
416<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; &amp;aclCellToOutputWeightsInfo);</div>
417<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; }</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">if</span> (descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div>
420<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; {</div>
421<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; aclProjectionWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#a18038725f71bb5c5bd03c02cc164f879">GetProjectionWeights</a>());</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; <span class="keywordflow">if</span> (paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#ae22fc962c59e7c24986718f5af0020db">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div>
424<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; {</div>
425<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; aclProjectionBiasInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#a9f2cce936b4df49c487eaca513bf55ca">GetProjectionBias</a>());</div>
426<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; }</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="comment">// Set projection params info</span></div>
429<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; aclParamsInfo.set_projection_params(</div>
430<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; &amp;aclProjectionWeightsInfo,</div>
431<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#ae22fc962c59e7c24986718f5af0020db">m_ProjectionBias</a> != <span class="keyword">nullptr</span> ? &amp;aclProjectionBiasInfo : <span class="keyword">nullptr</span>);</div>
432<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; }</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; <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</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> (!descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</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; aclInputLayerNormWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#a3d2f638ba83ae5dad0094c006220c232">GetInputLayerNormWeights</a>());</div>
439<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; }</div>
440<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; </div>
441<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; aclForgetLayerNormWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#ab50b4ccb0b84f6427996f76083a4107a">GetForgetLayerNormWeights</a>());</div>
442<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; aclCellLayerNormWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#aaf1af3bc828c5daa4a5c0bac28f63cc3">GetCellLayerNormWeights</a>());</div>
443<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; aclOutputLayerNormWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#a045674b768295e617d7060f96f162366">GetOutputLayerNormWeights</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="comment">// Set layer norm params info</span></div>
446<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; aclParamsInfo.set_layer_normalization_params(</div>
447<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#ab8c7712c0c6bc427dede8c76945e8f89">m_InputLayerNormWeights</a> != <span class="keyword">nullptr</span> ? &amp;aclInputLayerNormWeightsInfo : <span class="keyword">nullptr</span>,</div>
448<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; &amp;aclForgetLayerNormWeightsInfo,</div>
449<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; &amp;aclCellLayerNormWeightsInfo,</div>
450<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; &amp;aclOutputLayerNormWeightsInfo);</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; </div>
453<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div>
454<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; {</div>
455<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; aclInputToInputWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#afa2b04197a764428a8c3a648de8058fc">GetInputToInputWeights</a>());</div>
456<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; aclRecurrentToInputWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#ad159f9edbddeeb6cf6ff0ba042481ba8">GetRecurrentToInputWeights</a>());</div>
457<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; aclInputGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#ae1d5a487fcd13852927c8a2b9f9dfeb6">GetInputGateBias</a>());</div>
458<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; </div>
459<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; <span class="comment">// Set CIFG params info</span></div>
460<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; aclParamsInfo.set_cifg_params(</div>
461<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; &amp;aclInputToInputWeightsInfo,</div>
462<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; &amp;aclRecurrentToInputWeightsInfo,</div>
463<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.html#ab99b2297c5a17114926b8b47c693fe43">m_CellToInputWeights</a> != <span class="keyword">nullptr</span> ? &amp;aclCellToInputWeightsInfo : <span class="keyword">nullptr</span>,</div>
464<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; &amp;aclInputGateBiasInfo);</div>
465<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; }</div>
466<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; </div>
467<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; <span class="comment">// Set scalar descriptor params</span></div>
468<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; aclParamsInfo.set_cell_clip_params(descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ac81fb0e66dc623dc37c77f219f53a6d3">m_CellClip</a>);</div>
469<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; aclParamsInfo.set_projection_clip_params(descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#aa6a518b65088f34803b3214334bdff61">m_ProjectionClip</a>);</div>
470<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; aclParamsInfo.set_hidden_state_params(descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4556cbd764d4848d8ad0637a9eed580d">m_HiddenStateZeroPoint</a>, descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a>);</div>
471<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; aclParamsInfo.set_matmul_scale_params(descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a09e1f097944f61cc901240f9300364cf">m_InputIntermediateScale</a>,</div>
472<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#afec7f36158448f723b426a9527acb189">m_ForgetIntermediateScale</a>,</div>
473<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a0477ee1b44ace6090119178eea78cb0b">m_CellIntermediateScale</a>,</div>
474<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#aa43409f9b457352c95c89f20ce5d844d">m_OutputIntermediateScale</a>);</div>
475<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; </div>
476<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; <span class="comment">// QLSTM CL validate</span></div>
477<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160; <span class="keywordflow">return</span> arm_compute::CLQLSTMLayer::validate(&amp;aclInputInfo,</div>
478<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160; &amp;aclInputToForgetWeightsInfo,</div>
479<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; &amp;aclInputToCellWeightsInfo,</div>
480<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160; &amp;aclInputToOutputWeightsInfo,</div>
481<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; &amp;aclRecurrentToForgetWeightsInfo,</div>
482<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; &amp;aclRecurrentToCellWeightsInfo,</div>
483<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; &amp;aclRecurrentToOutputWeightsInfo,</div>
484<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; &amp;aclForgetGateBiasInfo,</div>
485<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; &amp;aclCellBiasInfo,</div>
486<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; &amp;aclOutputGateBiasInfo,</div>
487<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; &amp;aclCellStateInInfo,</div>
488<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; &amp;aclOutputStateInInfo,</div>
489<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; &amp;aclCellStateOutInfo,</div>
490<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; &amp;aclOutputStateOutInfo,</div>
491<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160; &amp;aclOutputInfo,</div>
492<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; aclParamsInfo);</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"> 397</span>&#160;<span class="keywordtype">void</span> ClQLstmWorkload::FreeUnusedTensors()</div>
496<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160;{</div>
497<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; FreeTensorIfUnused(m_InputToInputWeightsTensor);</div>
498<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; FreeTensorIfUnused(m_InputToForgetWeightsTensor);</div>
499<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160; FreeTensorIfUnused(m_InputToCellWeightsTensor);</div>
500<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160; FreeTensorIfUnused(m_InputToOutputWeightsTensor);</div>
501<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; </div>
502<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160; FreeTensorIfUnused(m_RecurrentToInputWeightsTensor);</div>
503<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; FreeTensorIfUnused(m_RecurrentToForgetWeightsTensor);</div>
504<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; FreeTensorIfUnused(m_RecurrentToCellWeightsTensor);</div>
505<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; FreeTensorIfUnused(m_RecurrentToOutputWeightsTensor);</div>
506<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; </div>
507<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; FreeTensorIfUnused(m_CellToInputWeightsTensor);</div>
508<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; FreeTensorIfUnused(m_CellToForgetWeightsTensor);</div>
509<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; FreeTensorIfUnused(m_CellToOutputWeightsTensor);</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; FreeTensorIfUnused(m_InputGateBiasTensor);</div>
512<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; FreeTensorIfUnused(m_ForgetGateBiasTensor);</div>
513<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; FreeTensorIfUnused(m_CellBiasTensor);</div>
514<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; FreeTensorIfUnused(m_OutputGateBiasTensor);</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; FreeTensorIfUnused(m_ProjectionWeightsTensor);</div>
517<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; FreeTensorIfUnused(m_ProjectionBiasTensor);</div>
518<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160; </div>
519<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; FreeTensorIfUnused(m_InputLayerNormWeightsTensor);</div>
520<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; FreeTensorIfUnused(m_ForgetLayerNormWeightsTensor);</div>
521<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; FreeTensorIfUnused(m_CellLayerNormWeightsTensor);</div>
522<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; FreeTensorIfUnused(m_OutputLayerNormWeightsTensor);</div>
523<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160;}</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">//namespace armnn</span></div>
526</div><!-- fragment --></div><!-- contents -->
527</div><!-- doc-content -->
528<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_afec7f36158448f723b426a9527acb189"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#afec7f36158448f723b426a9527acb189">armnn::QLstmDescriptor::m_ForgetIntermediateScale</a></div><div class="ttdeci">float m_ForgetIntermediateScale</div><div class="ttdoc">Forget intermediate quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01428">Descriptors.hpp:1428</a></div></div>
529<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_ad5f4be37766b41f342dd196cb1c6e141"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#ad5f4be37766b41f342dd196cb1c6e141">armnn::LstmInputParamsInfo::GetCellBias</a></div><div class="ttdeci">const TensorInfo &amp; GetCellBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00173">LstmParams.hpp:173</a></div></div>
530<div class="ttc" id="anamespacearmnn_html_a9a8bd8184644cbdfcefe062087b8f048"><div class="ttname"><a href="namespacearmnn.html#a9a8bd8184644cbdfcefe062087b8f048">armnn::InitializeArmComputeClTensorData</a></div><div class="ttdeci">void InitializeArmComputeClTensorData(arm_compute::CLTensor &amp;clTensor, const ConstTensorHandle *handle)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00124">ClWorkloadUtils.hpp:124</a></div></div>
531<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html">armnn::QLstmDescriptor</a></div><div class="ttdoc">A QLstmDescriptor for the QLstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01380">Descriptors.hpp:1380</a></div></div>
532<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">armnn::QLstmDescriptor::m_ProjectionEnabled</a></div><div class="ttdeci">bool m_ProjectionEnabled</div><div class="ttdoc">Enable/disable the projection layer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01422">Descriptors.hpp:1422</a></div></div>
533<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_ab8c7712c0c6bc427dede8c76945e8f89"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#ab8c7712c0c6bc427dede8c76945e8f89">armnn::LstmInputParamsInfo::m_InputLayerNormWeights</a></div><div class="ttdeci">const TensorInfo * m_InputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00106">LstmParams.hpp:106</a></div></div>
534<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_a3b3c26330a05bf4ea40f8a6b402be354"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#a3b3c26330a05bf4ea40f8a6b402be354">armnn::LstmInputParamsInfo::GetInputToCellWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetInputToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00129">LstmParams.hpp:129</a></div></div>
535<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_aab77f54a037658ca9b2bf9cc8a1fadf1"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">armnn::QLstmQueueDescriptor::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00590">WorkloadData.hpp:590</a></div></div>
536<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a1dbad32cad5c0437e1272f59fedf52ea"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">armnn::QLstmQueueDescriptor::m_InputLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00606">WorkloadData.hpp:606</a></div></div>
537<div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div>
538<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_a9f2cce936b4df49c487eaca513bf55ca"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#a9f2cce936b4df49c487eaca513bf55ca">armnn::LstmInputParamsInfo::GetProjectionBias</a></div><div class="ttdeci">const TensorInfo &amp; GetProjectionBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00185">LstmParams.hpp:185</a></div></div>
539<div class="ttc" id="aclassarmnn_1_1_cl_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_cl_base_workload.html">armnn::ClBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_cl_base_workload_8hpp_source.html#l00013">ClBaseWorkload.hpp:13</a></div></div>
540<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_ab99b2297c5a17114926b8b47c693fe43"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#ab99b2297c5a17114926b8b47c693fe43">armnn::LstmInputParamsInfo::m_CellToInputWeights</a></div><div class="ttdeci">const TensorInfo * m_CellToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00097">LstmParams.hpp:97</a></div></div>
541<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_ae1d5a487fcd13852927c8a2b9f9dfeb6"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#ae1d5a487fcd13852927c8a2b9f9dfeb6">armnn::LstmInputParamsInfo::GetInputGateBias</a></div><div class="ttdeci">const TensorInfo &amp; GetInputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00165">LstmParams.hpp:165</a></div></div>
542<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a09e1f097944f61cc901240f9300364cf"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a09e1f097944f61cc901240f9300364cf">armnn::QLstmDescriptor::m_InputIntermediateScale</a></div><div class="ttdeci">float m_InputIntermediateScale</div><div class="ttdoc">Input intermediate quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01426">Descriptors.hpp:1426</a></div></div>
543<div class="ttc" id="aclassarmnn_1_1_const_tensor_handle_html_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">armnn::ConstTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00040">TensorHandle.hpp:40</a></div></div>
544<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_ad159f9edbddeeb6cf6ff0ba042481ba8"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#ad159f9edbddeeb6cf6ff0ba042481ba8">armnn::LstmInputParamsInfo::GetRecurrentToInputWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetRecurrentToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00137">LstmParams.hpp:137</a></div></div>
545<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_a534af7e4f3a6d50a6dab05abc245133d"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#a534af7e4f3a6d50a6dab05abc245133d">armnn::LstmInputParamsInfo::GetRecurrentToForgetWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetRecurrentToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00141">LstmParams.hpp:141</a></div></div>
546<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_ab160eba2493d5fe52185c0986dcb190c"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">armnn::QLstmQueueDescriptor::m_InputToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00589">WorkloadData.hpp:589</a></div></div>
547<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a0477ee1b44ace6090119178eea78cb0b"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a0477ee1b44ace6090119178eea78cb0b">armnn::QLstmDescriptor::m_CellIntermediateScale</a></div><div class="ttdeci">float m_CellIntermediateScale</div><div class="ttdoc">Cell intermediate quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01430">Descriptors.hpp:1430</a></div></div>
548<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_ae5bfdd423b16f990c1713ef9f91f947b"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#ae5bfdd423b16f990c1713ef9f91f947b">armnn::LstmInputParamsInfo::GetRecurrentToCellWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetRecurrentToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00145">LstmParams.hpp:145</a></div></div>
549<div class="ttc" id="aclassarmnn_1_1_cl_q_lstm_workload_html_aa0855b04b89398245ed96acb020f24c4"><div class="ttname"><a href="classarmnn_1_1_cl_q_lstm_workload.html#aa0855b04b89398245ed96acb020f24c4">armnn::ClQLstmWorkload::ClQLstmWorkload</a></div><div class="ttdeci">ClQLstmWorkload(const QLstmQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info, const arm_compute::CLCompileContext &amp;clCompileContext)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_q_lstm_workload_8cpp_source.html#l00017">ClQLstmWorkload.cpp:17</a></div></div>
550<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a3ead2ef8da00b2709d561d85996fc513"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">armnn::QLstmQueueDescriptor::m_ProjectionWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_ProjectionWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00604">WorkloadData.hpp:604</a></div></div>
551<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_ad9442e26aa79f896da5f404ab825a9c8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">armnn::QLstmQueueDescriptor::m_ForgetLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_ForgetLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00607">WorkloadData.hpp:607</a></div></div>
552<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a4c27716f61bb68e8ea0bd4e8389ba01a"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">armnn::QLstmQueueDescriptor::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00596">WorkloadData.hpp:596</a></div></div>
553<div class="ttc" id="anamespacearmnn_html_a8cdb508cb0ebc06e39dc1661815d73b0"><div class="ttname"><a href="namespacearmnn.html#a8cdb508cb0ebc06e39dc1661815d73b0">armnn::ClQLstmWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClQLstmWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;cellStateIn, const TensorInfo &amp;outputStateIn, const TensorInfo &amp;cellStateOut, const TensorInfo &amp;outputStateOut, const TensorInfo &amp;output, const QLstmDescriptor &amp;descriptor, const LstmInputParamsInfo &amp;paramsInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_q_lstm_workload_8cpp_source.html#l00247">ClQLstmWorkload.cpp:247</a></div></div>
554<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_a3d2f638ba83ae5dad0094c006220c232"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#a3d2f638ba83ae5dad0094c006220c232">armnn::LstmInputParamsInfo::GetInputLayerNormWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetInputLayerNormWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00189">LstmParams.hpp:189</a></div></div>
555<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_aa09f7bdb9fd0d06b6386e412a4e72dd6"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">armnn::QLstmQueueDescriptor::m_CellToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00599">WorkloadData.hpp:599</a></div></div>
556<div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00066">WorkloadData.hpp:66</a></div></div>
557<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_a36fa9439fda2e72234411956a1c7e64f"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#a36fa9439fda2e72234411956a1c7e64f">armnn::LstmInputParamsInfo::GetCellToInputWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetCellToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00153">LstmParams.hpp:153</a></div></div>
558<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_afe4d25acd31b98dee6f6b28d4d756071"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#afe4d25acd31b98dee6f6b28d4d756071">armnn::LstmInputParamsInfo::GetRecurrentToOutputWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetRecurrentToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00149">LstmParams.hpp:149</a></div></div>
559<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a20c10fcb26657477377d07b7b1e13120"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">armnn::QLstmQueueDescriptor::m_CellToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00598">WorkloadData.hpp:598</a></div></div>
560<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_afa2b04197a764428a8c3a648de8058fc"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#afa2b04197a764428a8c3a648de8058fc">armnn::LstmInputParamsInfo::GetInputToInputWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetInputToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00121">LstmParams.hpp:121</a></div></div>
561<div class="ttc" id="a_cl_workload_utils_8hpp_html_a2d57ef1645138f5f8a6dbd2ce92dc072"><div class="ttname"><a href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00036">ClWorkloadUtils.hpp:36</a></div></div>
562<div class="ttc" id="astructarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
563<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_ac81393ef433b0c7c337f9f0d55f41ae4"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#ac81393ef433b0c7c337f9f0d55f41ae4">armnn::LstmInputParamsInfo::GetForgetGateBias</a></div><div class="ttdeci">const TensorInfo &amp; GetForgetGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00169">LstmParams.hpp:169</a></div></div>
564<div class="ttc" id="a_cl_workload_utils_8hpp_html"><div class="ttname"><a href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a></div></div>
565<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a0e0f66bd03c88f3d2dc666f581d3cf12"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">armnn::QLstmQueueDescriptor::m_OutputLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_OutputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00609">WorkloadData.hpp:609</a></div></div>
566<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a44eb7524badcca9b2073359e3814c98b"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">armnn::QLstmQueueDescriptor::m_InputGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00600">WorkloadData.hpp:600</a></div></div>
567<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_a0e31db1891d11bbe0d8556c01e9812ef"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#a0e31db1891d11bbe0d8556c01e9812ef">armnn::LstmInputParamsInfo::GetCellToForgetWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetCellToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00157">LstmParams.hpp:157</a></div></div>
568<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a5ff4158b1b363b898d0da04c42d37ce0"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">armnn::QLstmQueueDescriptor::m_OutputGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00603">WorkloadData.hpp:603</a></div></div>
569<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a29fa293fffbf9c6f00cd75db1dc0a52a"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">armnn::QLstmQueueDescriptor::m_ForgetGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00601">WorkloadData.hpp:601</a></div></div>
570<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_aa6a518b65088f34803b3214334bdff61"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#aa6a518b65088f34803b3214334bdff61">armnn::QLstmDescriptor::m_ProjectionClip</a></div><div class="ttdeci">float m_ProjectionClip</div><div class="ttdoc">Clipping threshold value for the projection.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01416">Descriptors.hpp:1416</a></div></div>
571<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html">armnn::QLstmQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00562">WorkloadData.hpp:562</a></div></div>
572<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a299587d4f3fca029492700f3e2585bd8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">armnn::QLstmQueueDescriptor::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00593">WorkloadData.hpp:593</a></div></div>
573<div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div>
574<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_aa43409f9b457352c95c89f20ce5d844d"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#aa43409f9b457352c95c89f20ce5d844d">armnn::QLstmDescriptor::m_OutputIntermediateScale</a></div><div class="ttdeci">float m_OutputIntermediateScale</div><div class="ttdoc">Output intermediate quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01432">Descriptors.hpp:1432</a></div></div>
575<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</a></div></div>
576<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_adf8571dd1867ee91082bd005f94f2610"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">armnn::QLstmQueueDescriptor::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00594">WorkloadData.hpp:594</a></div></div>
577<div class="ttc" id="a_profiling_8hpp_html_a786492a3881a4c760ab1eec2149f4aba"><div class="ttname"><a href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a></div><div class="ttdeci">#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.html#l00227">Profiling.hpp:227</a></div></div>
578<div class="ttc" id="aclassarmnn_1_1_i_cl_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_i_cl_tensor_handle.html">armnn::IClTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_cl_tensor_handle_8hpp_source.html#l00013">IClTensorHandle.hpp:13</a></div></div>
579<div class="ttc" id="anamespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00042">Types.hpp:42</a></div></div>
580<div class="ttc" id="a_cl_tensor_handle_8hpp_html"><div class="ttname"><a href="_cl_tensor_handle_8hpp.html">ClTensorHandle.hpp</a></div></div>
581<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_a800adf0f61e84d706060f63037c1a336"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#a800adf0f61e84d706060f63037c1a336">armnn::LstmInputParamsInfo::GetInputToOutputWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetInputToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00133">LstmParams.hpp:133</a></div></div>
582<div class="ttc" id="aclassarmnn_1_1_base_workload_html_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload&lt; QLstmQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">QLstmQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div>
583<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a17ba1c8bcc71a55a95b2a3913f8cb203"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">armnn::QLstmQueueDescriptor::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00592">WorkloadData.hpp:592</a></div></div>
584<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a4556cbd764d4848d8ad0637a9eed580d"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a4556cbd764d4848d8ad0637a9eed580d">armnn::QLstmDescriptor::m_HiddenStateZeroPoint</a></div><div class="ttdeci">int32_t m_HiddenStateZeroPoint</div><div class="ttdoc">Hidden State zero point.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01434">Descriptors.hpp:1434</a></div></div>
585<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_ae0da94ba17ce67b95b5b9d6e5adc4271"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#ae0da94ba17ce67b95b5b9d6e5adc4271">armnn::LstmInputParamsInfo::GetOutputGateBias</a></div><div class="ttdeci">const TensorInfo &amp; GetOutputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00177">LstmParams.hpp:177</a></div></div>
586<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_a35825b1ec5bc2b14c8eac60887dbcf19"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#a35825b1ec5bc2b14c8eac60887dbcf19">armnn::LstmInputParamsInfo::GetCellToOutputWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetCellToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00161">LstmParams.hpp:161</a></div></div>
587<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::QLstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable CIFG (coupled input &amp; forget gate).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01418">Descriptors.hpp:1418</a></div></div>
588<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_a045674b768295e617d7060f96f162366"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#a045674b768295e617d7060f96f162366">armnn::LstmInputParamsInfo::GetOutputLayerNormWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetOutputLayerNormWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00201">LstmParams.hpp:201</a></div></div>
589<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>
590<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html">armnn::LstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00063">LstmParams.hpp:63</a></div></div>
591<div class="ttc" id="aclassarmnn_1_1_cl_q_lstm_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_cl_q_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::ClQLstmWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_q_lstm_workload_8cpp_source.html#l00241">ClQLstmWorkload.cpp:241</a></div></div>
592<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_af8f724af7210b52529216feefa993c98"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#af8f724af7210b52529216feefa993c98">armnn::QLstmDescriptor::m_HiddenStateScale</a></div><div class="ttdeci">float m_HiddenStateScale</div><div class="ttdoc">Hidden State quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01436">Descriptors.hpp:1436</a></div></div>
593<div class="ttc" id="a_arm_compute_tensor_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.html">ArmComputeTensorUtils.hpp</a></div></div>
594<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_ac668b31de6fb0f19d4c793d5ed3c3316"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">armnn::QLstmQueueDescriptor::m_ProjectionBias</a></div><div class="ttdeci">const ConstTensorHandle * m_ProjectionBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00605">WorkloadData.hpp:605</a></div></div>
595<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a951b7c90b862138071a298065f16be61"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">armnn::QLstmQueueDescriptor::m_CellToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00597">WorkloadData.hpp:597</a></div></div>
596<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_ac81fb0e66dc623dc37c77f219f53a6d3"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#ac81fb0e66dc623dc37c77f219f53a6d3">armnn::QLstmDescriptor::m_CellClip</a></div><div class="ttdeci">float m_CellClip</div><div class="ttdoc">Clipping threshold value for the cell state.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01414">Descriptors.hpp:1414</a></div></div>
597<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">armnn::QLstmDescriptor::m_LayerNormEnabled</a></div><div class="ttdeci">bool m_LayerNormEnabled</div><div class="ttdoc">Enable/disable layer normalization.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01424">Descriptors.hpp:1424</a></div></div>
598<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_a18038725f71bb5c5bd03c02cc164f879"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#a18038725f71bb5c5bd03c02cc164f879">armnn::LstmInputParamsInfo::GetProjectionWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetProjectionWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00181">LstmParams.hpp:181</a></div></div>
599<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a6e9593869b82984de198fed27f72cdcf"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">armnn::QLstmQueueDescriptor::m_CellBias</a></div><div class="ttdeci">const ConstTensorHandle * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00602">WorkloadData.hpp:602</a></div></div>
600<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a841439e3b8dc157a7368b19c9ecb7d03"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">armnn::QLstmQueueDescriptor::m_InputToCellWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00591">WorkloadData.hpp:591</a></div></div>
601<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_ae22fc962c59e7c24986718f5af0020db"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#ae22fc962c59e7c24986718f5af0020db">armnn::LstmInputParamsInfo::m_ProjectionBias</a></div><div class="ttdeci">const TensorInfo * m_ProjectionBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00105">LstmParams.hpp:105</a></div></div>
602<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">armnn::QLstmDescriptor::m_PeepholeEnabled</a></div><div class="ttdeci">bool m_PeepholeEnabled</div><div class="ttdoc">Enable/disable peephole.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01420">Descriptors.hpp:1420</a></div></div>
603<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_ab50b4ccb0b84f6427996f76083a4107a"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#ab50b4ccb0b84f6427996f76083a4107a">armnn::LstmInputParamsInfo::GetForgetLayerNormWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetForgetLayerNormWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00193">LstmParams.hpp:193</a></div></div>
604<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_aeef6f1ac3efad8ec8b0a7118652b64c9"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">armnn::QLstmQueueDescriptor::m_CellLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00608">WorkloadData.hpp:608</a></div></div>
605<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_aaf1af3bc828c5daa4a5c0bac28f63cc3"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#aaf1af3bc828c5daa4a5c0bac28f63cc3">armnn::LstmInputParamsInfo::GetCellLayerNormWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetCellLayerNormWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00197">LstmParams.hpp:197</a></div></div>
606<div class="ttc" id="a_cl_q_lstm_workload_8hpp_html"><div class="ttname"><a href="_cl_q_lstm_workload_8hpp.html">ClQLstmWorkload.hpp</a></div></div>
607<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div>
608<div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_ac18c8b8b2039267d8282e91b4162d8aa"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">armnn::QLstmQueueDescriptor::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00595">WorkloadData.hpp:595</a></div></div>
609<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_html_a7dac08f19a1b235d5256d39136848a09"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.html#a7dac08f19a1b235d5256d39136848a09">armnn::LstmInputParamsInfo::GetInputToForgetWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetInputToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00125">LstmParams.hpp:125</a></div></div>
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