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96<div class="title">NeonQuantizedLstmWorkload.cpp</div> </div>
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99<a href="_neon_quantized_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 © 2019,2021-2023 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="_neon_quantized_lstm_workload_8hpp.html">NeonQuantizedLstmWorkload.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="_neon_workload_utils_8hpp.html">NeonWorkloadUtils.hpp</a>&quot;</span></div>
106<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160; </div>
107<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.hpp</a>&gt;</span></div>
108<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.hpp</a>&gt;</span></div>
109<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_neon_tensor_handle_8hpp.html">neon/NeonTensorHandle.hpp</a>&gt;</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_neon_quantized_lstm_workload.html#a22b3f0c6bd6ac4987c47b90521b82e57"> 17</a></span>&#160;<a class="code" href="classarmnn_1_1_neon_quantized_lstm_workload.html#a22b3f0c6bd6ac4987c47b90521b82e57">NeonQuantizedLstmWorkload::NeonQuantizedLstmWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html">QuantizedLstmQueueDescriptor</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; : <a class="code" href="classarmnn_1_1_neon_base_workload.html">NeonBaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html">QuantizedLstmQueueDescriptor</a>&gt;(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div>
118<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;{</div>
119<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <span class="comment">// Basic parameters</span></div>
120<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; m_InputToInputWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
121<div class="line"><a name="l00023"></a><span class="lineno"> 23</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_quantized_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
122<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; </div>
123<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; m_InputToForgetWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
124<div class="line"><a name="l00026"></a><span class="lineno"> 26</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_quantized_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</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; m_InputToCellWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
127<div class="line"><a name="l00029"></a><span class="lineno"> 29</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_quantized_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
128<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; </div>
129<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; m_InputToOutputWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
130<div class="line"><a name="l00032"></a><span class="lineno"> 32</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_quantized_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</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_RecurrentToInputWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
133<div class="line"><a name="l00035"></a><span class="lineno"> 35</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_quantized_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</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_RecurrentToForgetWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
136<div class="line"><a name="l00038"></a><span class="lineno"> 38</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_quantized_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</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_RecurrentToCellWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
139<div class="line"><a name="l00041"></a><span class="lineno"> 41</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_quantized_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</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_RecurrentToOutputWeightsTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
142<div class="line"><a name="l00044"></a><span class="lineno"> 44</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_quantized_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</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_InputGateBiasTensor = std::make_unique&lt;arm_compute::Tensor&gt;();</div>
145<div class="line"><a name="l00047"></a><span class="lineno"> 47</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_quantized_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</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::Tensor&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_quantized_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::Tensor&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_quantized_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::Tensor&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_quantized_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="keyword">const</span> arm_compute::ITensor&amp; input = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_acl_tensor_handle.html">IAclTensorHandle</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>
157<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; arm_compute::ITensor&amp; cell_state_in = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_acl_tensor_handle.html">IAclTensorHandle</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>
158<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keyword">const</span> arm_compute::ITensor&amp; output_state_in = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_acl_tensor_handle.html">IAclTensorHandle</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>
159<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; </div>
160<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; arm_compute::ITensor&amp; cell_state_out = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_acl_tensor_handle.html">IAclTensorHandle</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>
161<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; arm_compute::ITensor&amp; output_state_out = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_acl_tensor_handle.html">IAclTensorHandle</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>
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; m_QuantizedLstmLayer.configure(&amp;input,</div>
164<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; m_InputToInputWeightsTensor.get(),</div>
165<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; m_InputToForgetWeightsTensor.get(),</div>
166<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; m_InputToCellWeightsTensor.get(),</div>
167<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; m_InputToOutputWeightsTensor.get(),</div>
168<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; m_RecurrentToInputWeightsTensor.get(),</div>
169<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; m_RecurrentToForgetWeightsTensor.get(),</div>
170<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; m_RecurrentToCellWeightsTensor.get(),</div>
171<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; m_RecurrentToOutputWeightsTensor.get(),</div>
172<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; m_InputGateBiasTensor.get(),</div>
173<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; m_ForgetGateBiasTensor.get(),</div>
174<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; m_CellBiasTensor.get(),</div>
175<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; m_OutputGateBiasTensor.get(),</div>
176<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; &amp;cell_state_in,</div>
177<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; &amp;output_state_in,</div>
178<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; &amp;cell_state_out,</div>
179<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; &amp;output_state_out);</div>
180<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; </div>
181<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_InputToInputWeightsTensor,</div>
182<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a>);</div>
183<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; </div>
184<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_InputToForgetWeightsTensor,</div>
185<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a>);</div>
186<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; </div>
187<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_InputToCellWeightsTensor,</div>
188<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a>);</div>
189<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; </div>
190<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_InputToOutputWeightsTensor,</div>
191<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a>);</div>
192<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; </div>
193<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_RecurrentToInputWeightsTensor,</div>
194<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a>);</div>
195<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; </div>
196<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_RecurrentToForgetWeightsTensor,</div>
197<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a>);</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; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_RecurrentToCellWeightsTensor,</div>
200<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a>);</div>
201<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; </div>
202<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_RecurrentToOutputWeightsTensor,</div>
203<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a>);</div>
204<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; </div>
205<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_InputGateBiasTensor,</div>
206<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a>);</div>
207<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; </div>
208<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_ForgetGateBiasTensor,</div>
209<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a>);</div>
210<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; </div>
211<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_CellBiasTensor,</div>
212<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a>);</div>
213<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; </div>
214<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <a class="code" href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">InitializeArmComputeTensorData</a>(*m_OutputGateBiasTensor,</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_quantized_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a>);</div>
216<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; </div>
217<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="comment">// Force Compute Library to perform the necessary copying and reshaping, after which</span></div>
218<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="comment">// delete all the input tensors that will no longer be needed</span></div>
219<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; m_QuantizedLstmLayer.prepare();</div>
220<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; FreeUnusedTensors();</div>
221<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;}</div>
222<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; </div>
223<div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_quantized_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a"> 125</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_quantized_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonQuantizedLstmWorkload::Execute</a>()<span class="keyword"> const</span></div>
224<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;<span class="keyword"></span>{</div>
225<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <a class="code" href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a>(<span class="stringliteral">&quot;NeonQuantizedLstmWorkload_Execute&quot;</span>);</div>
226<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; m_QuantizedLstmLayer.run();</div>
227<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;}</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"><a class="line" href="namespacearmnn.html#ae83632e641892ad2de78f316376f6bd0"> 131</a></span>&#160;<a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#ae83632e641892ad2de78f316376f6bd0">NeonQuantizedLstmWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
230<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; cellStateIn,</div>
231<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputStateIn,</div>
232<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; cellStateOut,</div>
233<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputStateOut,</div>
234<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html">QuantizedLstmInputParamsInfo</a>&amp; paramsInfo)</div>
235<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;{</div>
236<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="comment">// The inputs and outputs</span></div>
237<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);</div>
238<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclCellStateInInfo = BuildArmComputeTensorInfo(cellStateIn);</div>
239<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclOutputStateInInfo = BuildArmComputeTensorInfo(outputStateIn);</div>
240<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclCellStateOutInfo = BuildArmComputeTensorInfo(cellStateOut);</div>
241<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclOutputStateOutInfo = BuildArmComputeTensorInfo(outputStateOut);</div>
242<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; </div>
243<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="comment">// Basic parameters</span></div>
244<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputToInputWeightsInfo</div>
245<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#afa2b04197a764428a8c3a648de8058fc">GetInputToInputWeights</a>());</div>
246<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputToForgetWeightsInfo</div>
247<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#a7dac08f19a1b235d5256d39136848a09">GetInputToForgetWeights</a>());</div>
248<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputToCellWeightsInfo</div>
249<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#a3b3c26330a05bf4ea40f8a6b402be354">GetInputToCellWeights</a>());</div>
250<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputToOutputWeightsInfo</div>
251<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#a800adf0f61e84d706060f63037c1a336">GetInputToOutputWeights</a>());</div>
252<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; </div>
253<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToInputWeightsInfo</div>
254<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#ad159f9edbddeeb6cf6ff0ba042481ba8">GetRecurrentToInputWeights</a>());</div>
255<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToForgetWeightsInfo</div>
256<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#a534af7e4f3a6d50a6dab05abc245133d">GetRecurrentToForgetWeights</a>());</div>
257<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToCellWeightsInfo</div>
258<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#ae5bfdd423b16f990c1713ef9f91f947b">GetRecurrentToCellWeights</a>());</div>
259<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToOutputWeightsInfo</div>
260<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#afe4d25acd31b98dee6f6b28d4d756071">GetRecurrentToOutputWeights</a>());</div>
261<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; </div>
262<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputGateBiasInfo</div>
263<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#ae1d5a487fcd13852927c8a2b9f9dfeb6">GetInputGateBias</a>());</div>
264<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclForgetGateBiasInfo</div>
265<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#ac81393ef433b0c7c337f9f0d55f41ae4">GetForgetGateBias</a>());</div>
266<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclCellBiasInfo</div>
267<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#ad5f4be37766b41f342dd196cb1c6e141">GetCellBias</a>());</div>
268<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclOutputGateBiasInfo</div>
269<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#ae0da94ba17ce67b95b5b9d6e5adc4271">GetOutputGateBias</a>());</div>
270<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; </div>
271<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="keywordflow">return</span> arm_compute::NELSTMLayerQuantized::validate(&amp;aclInputInfo,</div>
272<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; &amp;aclInputToInputWeightsInfo,</div>
273<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; &amp;aclInputToForgetWeightsInfo,</div>
274<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; &amp;aclInputToCellWeightsInfo,</div>
275<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; &amp;aclInputToOutputWeightsInfo,</div>
276<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; &amp;aclRecurrentToInputWeightsInfo,</div>
277<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; &amp;aclRecurrentToForgetWeightsInfo,</div>
278<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; &amp;aclRecurrentToCellWeightsInfo,</div>
279<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; &amp;aclRecurrentToOutputWeightsInfo,</div>
280<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; &amp;aclInputGateBiasInfo,</div>
281<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; &amp;aclForgetGateBiasInfo,</div>
282<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; &amp;aclCellBiasInfo,</div>
283<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; &amp;aclOutputGateBiasInfo,</div>
284<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; &amp;aclCellStateInInfo,</div>
285<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; &amp;aclOutputStateInInfo,</div>
286<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; &amp;aclCellStateOutInfo,</div>
287<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; &amp;aclOutputStateOutInfo);</div>
288<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160;}</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;<span class="keywordtype">void</span> NeonQuantizedLstmWorkload::FreeUnusedTensors()</div>
291<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160;{</div>
292<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; FreeTensorIfUnused(m_InputToInputWeightsTensor);</div>
293<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; FreeTensorIfUnused(m_InputToForgetWeightsTensor);</div>
294<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; FreeTensorIfUnused(m_InputToCellWeightsTensor);</div>
295<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; FreeTensorIfUnused(m_InputToOutputWeightsTensor);</div>
296<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; FreeTensorIfUnused(m_RecurrentToInputWeightsTensor);</div>
297<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; FreeTensorIfUnused(m_RecurrentToForgetWeightsTensor);</div>
298<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; FreeTensorIfUnused(m_RecurrentToCellWeightsTensor);</div>
299<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; FreeTensorIfUnused(m_RecurrentToOutputWeightsTensor);</div>
300<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; FreeTensorIfUnused(m_InputGateBiasTensor);</div>
301<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; FreeTensorIfUnused(m_ForgetGateBiasTensor);</div>
302<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; FreeTensorIfUnused(m_CellBiasTensor);</div>
303<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; FreeTensorIfUnused(m_OutputGateBiasTensor);</div>
304<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; FreeTensorIfUnused(m_CellStateInTensor);</div>
305<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; FreeTensorIfUnused(m_OutputStateInTensor);</div>
306<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; FreeTensorIfUnused(m_CellStateOutTensor);</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; </div>
309<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160;} <span class="comment">//namespace armnn</span></div>
310</div><!-- fragment --></div><!-- contents -->
311</div><!-- doc-content -->
312<div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a6e9593869b82984de198fed27f72cdcf"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">armnn::QuantizedLstmQueueDescriptor::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#l00645">WorkloadData.hpp:645</a></div></div>
313<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_info_html_ac81393ef433b0c7c337f9f0d55f41ae4"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.html#ac81393ef433b0c7c337f9f0d55f41ae4">armnn::QuantizedLstmInputParamsInfo::GetForgetGateBias</a></div><div class="ttdeci">const TensorInfo &amp; GetForgetGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00203">QuantizedLstmParams.hpp:203</a></div></div>
314<div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a299587d4f3fca029492700f3e2585bd8"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">armnn::QuantizedLstmQueueDescriptor::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#l00638">WorkloadData.hpp:638</a></div></div>
315<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_info_html_a7dac08f19a1b235d5256d39136848a09"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.html#a7dac08f19a1b235d5256d39136848a09">armnn::QuantizedLstmInputParamsInfo::GetInputToForgetWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetInputToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00169">QuantizedLstmParams.hpp:169</a></div></div>
316<div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_aab77f54a037658ca9b2bf9cc8a1fadf1"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">armnn::QuantizedLstmQueueDescriptor::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#l00634">WorkloadData.hpp:634</a></div></div>
317<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_info_html_a534af7e4f3a6d50a6dab05abc245133d"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.html#a534af7e4f3a6d50a6dab05abc245133d">armnn::QuantizedLstmInputParamsInfo::GetRecurrentToForgetWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetRecurrentToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00186">QuantizedLstmParams.hpp:186</a></div></div>
318<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>
319<div class="ttc" id="a_neon_tensor_handle_8hpp_html"><div class="ttname"><a href="_neon_tensor_handle_8hpp.html">NeonTensorHandle.hpp</a></div></div>
320<div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a4c27716f61bb68e8ea0bd4e8389ba01a"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">armnn::QuantizedLstmQueueDescriptor::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#l00641">WorkloadData.hpp:641</a></div></div>
321<div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a44eb7524badcca9b2073359e3814c98b"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">armnn::QuantizedLstmQueueDescriptor::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#l00643">WorkloadData.hpp:643</a></div></div>
322<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>
323<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_info_html_ae1d5a487fcd13852927c8a2b9f9dfeb6"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.html#ae1d5a487fcd13852927c8a2b9f9dfeb6">armnn::QuantizedLstmInputParamsInfo::GetInputGateBias</a></div><div class="ttdeci">const TensorInfo &amp; GetInputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00199">QuantizedLstmParams.hpp:199</a></div></div>
324<div class="ttc" id="aclassarmnn_1_1_neon_quantized_lstm_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_quantized_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::NeonQuantizedLstmWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_quantized_lstm_workload_8cpp_source.html#l00125">NeonQuantizedLstmWorkload.cpp:125</a></div></div>
325<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_info_html"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.html">armnn::QuantizedLstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00119">QuantizedLstmParams.hpp:119</a></div></div>
326<div class="ttc" id="anamespacearmnn_html_a611208865d55ea576cc89ac86d7c19b7"><div class="ttname"><a href="namespacearmnn.html#a611208865d55ea576cc89ac86d7c19b7">armnn::InitializeArmComputeTensorData</a></div><div class="ttdeci">void InitializeArmComputeTensorData(arm_compute::Tensor &amp;tensor, TensorInfo tensorInfo, const ITensorHandle *handle)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.html#l00069">NeonWorkloadUtils.hpp:69</a></div></div>
327<div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_ac18c8b8b2039267d8282e91b4162d8aa"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">armnn::QuantizedLstmQueueDescriptor::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#l00640">WorkloadData.hpp:640</a></div></div>
328<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_info_html_afe4d25acd31b98dee6f6b28d4d756071"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.html#afe4d25acd31b98dee6f6b28d4d756071">armnn::QuantizedLstmInputParamsInfo::GetRecurrentToOutputWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetRecurrentToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00194">QuantizedLstmParams.hpp:194</a></div></div>
329<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_info_html_afa2b04197a764428a8c3a648de8058fc"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.html#afa2b04197a764428a8c3a648de8058fc">armnn::QuantizedLstmInputParamsInfo::GetInputToInputWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetInputToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00165">QuantizedLstmParams.hpp:165</a></div></div>
330<div class="ttc" id="aclassarmnn_1_1_i_acl_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_i_acl_tensor_handle.html">armnn::IAclTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_tensor_handle_8hpp_source.html#l00016">ArmComputeTensorHandle.hpp:16</a></div></div>
331<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_info_html_ad5f4be37766b41f342dd196cb1c6e141"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.html#ad5f4be37766b41f342dd196cb1c6e141">armnn::QuantizedLstmInputParamsInfo::GetCellBias</a></div><div class="ttdeci">const TensorInfo &amp; GetCellBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00207">QuantizedLstmParams.hpp:207</a></div></div>
332<div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_ab160eba2493d5fe52185c0986dcb190c"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">armnn::QuantizedLstmQueueDescriptor::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#l00633">WorkloadData.hpp:633</a></div></div>
333<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>
334<div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_adf8571dd1867ee91082bd005f94f2610"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">armnn::QuantizedLstmQueueDescriptor::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#l00639">WorkloadData.hpp:639</a></div></div>
335<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_info_html_ae5bfdd423b16f990c1713ef9f91f947b"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.html#ae5bfdd423b16f990c1713ef9f91f947b">armnn::QuantizedLstmInputParamsInfo::GetRecurrentToCellWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetRecurrentToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00190">QuantizedLstmParams.hpp:190</a></div></div>
336<div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a841439e3b8dc157a7368b19c9ecb7d03"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">armnn::QuantizedLstmQueueDescriptor::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#l00635">WorkloadData.hpp:635</a></div></div>
337<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_info_html_a800adf0f61e84d706060f63037c1a336"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.html#a800adf0f61e84d706060f63037c1a336">armnn::QuantizedLstmInputParamsInfo::GetInputToOutputWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetInputToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00177">QuantizedLstmParams.hpp:177</a></div></div>
338<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>
339<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>
340<div class="ttc" id="aclassarmnn_1_1_neon_quantized_lstm_workload_html_a22b3f0c6bd6ac4987c47b90521b82e57"><div class="ttname"><a href="classarmnn_1_1_neon_quantized_lstm_workload.html#a22b3f0c6bd6ac4987c47b90521b82e57">armnn::NeonQuantizedLstmWorkload::NeonQuantizedLstmWorkload</a></div><div class="ttdeci">NeonQuantizedLstmWorkload(const QuantizedLstmQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_quantized_lstm_workload_8cpp_source.html#l00017">NeonQuantizedLstmWorkload.cpp:17</a></div></div>
341<div class="ttc" id="anamespacearmnn_html_ae83632e641892ad2de78f316376f6bd0"><div class="ttname"><a href="namespacearmnn.html#ae83632e641892ad2de78f316376f6bd0">armnn::NeonQuantizedLstmWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonQuantizedLstmWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;cellStateIn, const TensorInfo &amp;outputStateIn, const TensorInfo &amp;cellStateOut, const TensorInfo &amp;outputStateOut, const QuantizedLstmInputParamsInfo &amp;paramsInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_quantized_lstm_workload_8cpp_source.html#l00131">NeonQuantizedLstmWorkload.cpp:131</a></div></div>
342<div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a17ba1c8bcc71a55a95b2a3913f8cb203"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">armnn::QuantizedLstmQueueDescriptor::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#l00636">WorkloadData.hpp:636</a></div></div>
343<div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html">armnn::QuantizedLstmQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00614">WorkloadData.hpp:614</a></div></div>
344<div class="ttc" id="a_tensor_handle_8hpp_html"><div class="ttname"><a href="_tensor_handle_8hpp.html">TensorHandle.hpp</a></div></div>
345<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>
346<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; QuantizedLstmQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">QuantizedLstmQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div>
347<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_info_html_ae0da94ba17ce67b95b5b9d6e5adc4271"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.html#ae0da94ba17ce67b95b5b9d6e5adc4271">armnn::QuantizedLstmInputParamsInfo::GetOutputGateBias</a></div><div class="ttdeci">const TensorInfo &amp; GetOutputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00211">QuantizedLstmParams.hpp:211</a></div></div>
348<div class="ttc" id="a_neon_quantized_lstm_workload_8hpp_html"><div class="ttname"><a href="_neon_quantized_lstm_workload_8hpp.html">NeonQuantizedLstmWorkload.hpp</a></div></div>
349<div class="ttc" id="a_neon_workload_utils_8hpp_html"><div class="ttname"><a href="_neon_workload_utils_8hpp.html">NeonWorkloadUtils.hpp</a></div></div>
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351<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>
352<div class="ttc" id="a_neon_workload_utils_8hpp_html_a7f97eedf3c9436b110df92c947bbb55d"><div class="ttname"><a href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.html#l00033">NeonWorkloadUtils.hpp:33</a></div></div>
353<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_info_html_a3b3c26330a05bf4ea40f8a6b402be354"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.html#a3b3c26330a05bf4ea40f8a6b402be354">armnn::QuantizedLstmInputParamsInfo::GetInputToCellWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetInputToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00173">QuantizedLstmParams.hpp:173</a></div></div>
354<div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a5ff4158b1b363b898d0da04c42d37ce0"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">armnn::QuantizedLstmQueueDescriptor::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#l00646">WorkloadData.hpp:646</a></div></div>
355<div class="ttc" id="aclassarmnn_1_1_neon_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_neon_base_workload.html">armnn::NeonBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_base_workload_8hpp_source.html#l00013">NeonBaseWorkload.hpp:13</a></div></div>
356<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_info_html_ad159f9edbddeeb6cf6ff0ba042481ba8"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.html#ad159f9edbddeeb6cf6ff0ba042481ba8">armnn::QuantizedLstmInputParamsInfo::GetRecurrentToInputWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetRecurrentToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00182">QuantizedLstmParams.hpp:182</a></div></div>
357<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>
358<div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a29fa293fffbf9c6f00cd75db1dc0a52a"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">armnn::QuantizedLstmQueueDescriptor::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#l00644">WorkloadData.hpp:644</a></div></div>
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