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+<a href="_neon_lstm_float_workload_8hpp.xhtml">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><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_descriptors_8hpp.xhtml">armnn/Descriptors.hpp</a>&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_lstm_params_8hpp.xhtml">armnn/LstmParams.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_8hpp.xhtml">backendsCommon/Workload.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_data_8hpp.xhtml">backendsCommon/WorkloadData.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &quot;arm_compute/graph/Tensor.h&quot;</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &quot;arm_compute/runtime/NEON/functions/NELSTMLayer.h&quot;</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;</div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;{</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;</div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_lstm_float_workload.xhtml">   19</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarmnn_1_1_neon_lstm_float_workload.xhtml">NeonLstmFloatWorkload</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_typed_workload.xhtml">FloatWorkload</a>&lt;LstmQueueDescriptor&gt;</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;{</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;    <a class="code" href="classarmnn_1_1_neon_lstm_float_workload.xhtml#a471d876fac9cbcc3347eec34e558fe46">NeonLstmFloatWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml">LstmQueueDescriptor</a>&amp; descriptor, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>&amp; <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_lstm_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">Execute</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;    <span class="keyword">mutable</span> arm_compute::NELSTMLayer m_LstmLayer;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_InputToInputWeightsTensor;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_InputToForgetWeightsTensor;</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_InputToCellWeightsTensor;</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_InputToOutputWeightsTensor;</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_RecurrentToInputWeightsTensor;</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_RecurrentToForgetWeightsTensor;</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_RecurrentToCellWeightsTensor;</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_RecurrentToOutputWeightsTensor;</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_CellToInputWeightsTensor;</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_CellToForgetWeightsTensor;</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_CellToOutputWeightsTensor;</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_InputGateBiasTensor;</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_ForgetGateBiasTensor;</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_CellBiasTensor;</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_OutputGateBiasTensor;</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_ProjectionWeightsTensor;</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_ProjectionBiasTensor;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_ScratchBuffer;</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_InputLayerNormWeightsTensor;</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_ForgetLayerNormWeightsTensor;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_CellLayerNormWeightsTensor;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_OutputLayerNormWeightsTensor;</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    <span class="keywordtype">void</span> FreeUnusedTensors();</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;};</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.xhtml#a9e06cc2a2ac8b88fc72972695a17910f">NeonLstmFloatWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; input, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; outputStateIn,</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;                                                  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; cellStateIn, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; scratchBuffer,</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;                                                  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; outputStateOut, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; cellStateOut,</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;                                                  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; output, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a> &amp;descriptor,</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;                                                  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a>&amp; paramsInfo);</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;} <span class="comment">//namespace armnn</span></div><div class="ttc" id="_workload_data_8hpp_xhtml"><div class="ttname"><a href="_workload_data_8hpp.xhtml">WorkloadData.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="classarmnn_1_1_neon_lstm_float_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_neon_lstm_float_workload.xhtml">armnn::NeonLstmFloatWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_lstm_float_workload_8hpp_source.xhtml#l00019">NeonLstmFloatWorkload.hpp:19</a></div></div>
+<div class="ttc" id="classarmnn_1_1_neon_lstm_float_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_lstm_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::NeonLstmFloatWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_lstm_float_workload_8cpp_source.xhtml#l00266">NeonLstmFloatWorkload.cpp:266</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a9e06cc2a2ac8b88fc72972695a17910f"><div class="ttname"><a href="namespacearmnn.xhtml#a9e06cc2a2ac8b88fc72972695a17910f">armnn::NeonLstmFloatWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonLstmFloatWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;outputStateIn, const TensorInfo &amp;cellStateIn, const TensorInfo &amp;scratchBuffer, const TensorInfo &amp;outputStateOut, const TensorInfo &amp;cellStateOut, const TensorInfo &amp;output, const LstmDescriptor &amp;descriptor, const LstmInputParamsInfo &amp;paramsInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_lstm_float_workload_8cpp_source.xhtml#l00271">NeonLstmFloatWorkload.cpp:271</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
+<div class="ttc" id="_lstm_params_8hpp_xhtml"><div class="ttname"><a href="_lstm_params_8hpp.xhtml">LstmParams.hpp</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml">armnn::LstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00063">LstmParams.hpp:63</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00837">Descriptors.hpp:837</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml">armnn::LstmQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00358">WorkloadData.hpp:358</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00026">Types.hpp:26</a></div></div>
+<div class="ttc" id="classarmnn_1_1_typed_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_typed_workload.xhtml">armnn::TypedWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00052">Workload.hpp:52</a></div></div>
+<div class="ttc" id="_workload_8hpp_xhtml"><div class="ttname"><a href="_workload_8hpp.xhtml">Workload.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_neon_lstm_float_workload_xhtml_a471d876fac9cbcc3347eec34e558fe46"><div class="ttname"><a href="classarmnn_1_1_neon_lstm_float_workload.xhtml#a471d876fac9cbcc3347eec34e558fe46">armnn::NeonLstmFloatWorkload::NeonLstmFloatWorkload</a></div><div class="ttdeci">NeonLstmFloatWorkload(const LstmQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_lstm_float_workload_8cpp_source.xhtml#l00017">NeonLstmFloatWorkload.cpp:17</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
+<div class="ttc" id="_descriptors_8hpp_xhtml"><div class="ttname"><a href="_descriptors_8hpp.xhtml">Descriptors.hpp</a></div></div>
+<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
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