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+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="classarmnn_1_1_cl_lstm_float_workload-members.html">List of all members</a>  </div>
+  <div class="headertitle">
+<div class="title">ClLstmFloatWorkload Class Reference</div>  </div>
+</div><!--header-->
+<div class="contents">
+
+<p><code>#include &lt;<a class="el" href="_cl_lstm_float_workload_8hpp_source.html">ClLstmFloatWorkload.hpp</a>&gt;</code></p>
+<div class="dynheader">
+Inheritance diagram for ClLstmFloatWorkload:</div>
+<div class="dyncontent">
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+</div>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<div class="dynheader">
+Collaboration diagram for ClLstmFloatWorkload:</div>
+<div class="dyncontent">
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+</div>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
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+<tr class="memitem:a76748f8bb92f17003b47fbc2887986cc"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_lstm_float_workload.html#a76748f8bb92f17003b47fbc2887986cc">ClLstmFloatWorkload</a> (const <a class="el" href="structarmnn_1_1_lstm_queue_descriptor.html">LstmQueueDescriptor</a> &amp;descriptor, const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;info, const arm_compute::CLCompileContext &amp;clCompileContext)</td></tr>
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+<tr class="memitem:ae071e8822437c78baea75c3aef3a263a"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_lstm_float_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a> () const override</td></tr>
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+<tr class="memitem:ab0a67f8179ddb997dda0070a6661f837"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_lstm_float_workload.html#ab0a67f8179ddb997dda0070a6661f837">ReplaceInputTensorHandle</a> (<a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> *tensorHandle, unsigned int slot) override</td></tr>
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+<tr class="separator:acc08590544f05c641d21c724aedf26dd"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="separator:ab81312bd5e64cbae2803de9f243bdb32 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
+Additional Inherited Members</h2></td></tr>
+<tr class="inherit_header pro_attribs_classarmnn_1_1_base_workload"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_classarmnn_1_1_base_workload')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classarmnn_1_1_base_workload.html">BaseWorkload&lt; QueueDescriptor &gt;</a></td></tr>
+<tr class="memitem:afb8d2c8817c75de9d01a4c0e0d5c160b inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a></td></tr>
+<tr class="separator:afb8d2c8817c75de9d01a4c0e0d5c160b inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4c2b3ca86eec6c199364671af267cd2c inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">const arm::pipe::ProfilingGuid&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a4c2b3ca86eec6c199364671af267cd2c">m_Guid</a></td></tr>
+<tr class="separator:a4c2b3ca86eec6c199364671af267cd2c inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="separator:a77806f89d6edb879d3f6c6b6b18168a7 inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_cl_lstm_float_workload_8hpp_source.html#l00018">18</a> of file <a class="el" href="_cl_lstm_float_workload_8hpp_source.html">ClLstmFloatWorkload.hpp</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a76748f8bb92f17003b47fbc2887986cc"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a76748f8bb92f17003b47fbc2887986cc">&#9670;&nbsp;</a></span>ClLstmFloatWorkload()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="classarmnn_1_1_cl_lstm_float_workload.html">ClLstmFloatWorkload</a> </td>
+          <td>(</td>
+          <td class="paramtype">const <a class="el" href="structarmnn_1_1_lstm_queue_descriptor.html">LstmQueueDescriptor</a> &amp;&#160;</td>
+          <td class="paramname"><em>descriptor</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;&#160;</td>
+          <td class="paramname"><em>info</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const arm_compute::CLCompileContext &amp;&#160;</td>
+          <td class="paramname"><em>clCompileContext</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_cl_lstm_float_workload_8cpp_source.html#l00023">23</a> of file <a class="el" href="_cl_lstm_float_workload_8cpp_source.html">ClLstmFloatWorkload.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;        : FloatWorkload&lt;LstmQueueDescriptor&gt;(descriptor, info)</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;    <span class="comment">// Report Profiling Details</span></div>
+<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">&quot;ClLstmFloatWorkload_Construct&quot;</span>,</div>
+<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;                                         descriptor.m_Parameters,</div>
+<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;                                         info,</div>
+<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;                                         <a class="code" href="classarmnn_1_1_base_workload.html#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div>
+<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160; </div>
+<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    arm_compute::LSTMParams&lt;arm_compute::ICLTensor&gt; lstm_param;</div>
+<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160; </div>
+<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;    <span class="comment">// Basic parameters</span></div>
+<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    m_InputToForgetWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    BuildArmComputeTensor(*m_InputToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_InputToForgetWeights-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160; </div>
+<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    m_InputToCellWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    BuildArmComputeTensor(*m_InputToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_InputToCellWeights-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160; </div>
+<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    m_InputToOutputWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    BuildArmComputeTensor(*m_InputToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_InputToOutputWeights-&gt;GetTensorInfo());</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;    m_RecurrentToForgetWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    BuildArmComputeTensor(*m_RecurrentToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_RecurrentToForgetWeights-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160; </div>
+<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    m_RecurrentToCellWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    BuildArmComputeTensor(*m_RecurrentToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_RecurrentToCellWeights-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160; </div>
+<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    m_RecurrentToOutputWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    BuildArmComputeTensor(*m_RecurrentToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_RecurrentToOutputWeights-&gt;GetTensorInfo());</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;    m_ForgetGateBiasTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    BuildArmComputeTensor(*m_ForgetGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_ForgetGateBias-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160; </div>
+<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    m_CellBiasTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    BuildArmComputeTensor(*m_CellBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_CellBias-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160; </div>
+<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    m_OutputGateBiasTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    BuildArmComputeTensor(*m_OutputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_OutputGateBias-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160; </div>
+<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    <span class="comment">// for future reference: check the AndroidNN API for the logic here</span></div>
+<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_CifgEnabled)</div>
+<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    {</div>
+<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;        m_InputToInputWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;        BuildArmComputeTensor(*m_InputToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_InputToInputWeights-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160; </div>
+<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;        m_RecurrentToInputWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;        BuildArmComputeTensor(*m_RecurrentToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_RecurrentToInputWeights-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160; </div>
+<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;        m_CellToInputWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;        <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_CellToInputWeights != <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        {</div>
+<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;            BuildArmComputeTensor(*m_CellToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_CellToInputWeights-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        }</div>
+<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160; </div>
+<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;        m_InputGateBiasTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;        BuildArmComputeTensor(*m_InputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_InputGateBias-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160; </div>
+<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;        lstm_param.set_cifg_params(m_InputToInputWeightsTensor.get(),</div>
+<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;                                   m_RecurrentToInputWeightsTensor.get(),</div>
+<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>.m_CellToInputWeights != <span class="keyword">nullptr</span> ? m_CellToInputWeightsTensor.get() : <span class="keyword">nullptr</span>,</div>
+<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;                                   m_InputGateBiasTensor.get());</div>
+<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    }</div>
+<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160; </div>
+<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_ProjectionEnabled)</div>
+<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    {</div>
+<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;        m_ProjectionWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;        BuildArmComputeTensor(*m_ProjectionWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_ProjectionWeights-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160; </div>
+<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;        m_ProjectionBiasTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;        <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_ProjectionBias != <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;        {</div>
+<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;            BuildArmComputeTensor(*m_ProjectionBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_ProjectionBias-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;        }</div>
+<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160; </div>
+<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;        lstm_param.set_projection_params(m_ProjectionWeightsTensor.get(),</div>
+<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;                                         <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_ProjectionBias != <span class="keyword">nullptr</span> ? m_ProjectionBiasTensor.get() : <span class="keyword">nullptr</span>);</div>
+<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    }</div>
+<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160; </div>
+<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_PeepholeEnabled)</div>
+<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    {</div>
+<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;        m_CellToForgetWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;        BuildArmComputeTensor(*m_CellToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_CellToForgetWeights-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160; </div>
+<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;        m_CellToOutputWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;        BuildArmComputeTensor(*m_CellToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_CellToOutputWeights-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160; </div>
+<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;        lstm_param.set_peephole_params(m_CellToForgetWeightsTensor.get(), m_CellToOutputWeightsTensor.get());</div>
+<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    }</div>
+<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160; </div>
+<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_LayerNormEnabled)</div>
+<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    {</div>
+<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;        m_InputLayerNormWeightsTensor  = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;        m_ForgetLayerNormWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;        m_CellLayerNormWeightsTensor   = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;        m_OutputLayerNormWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160; </div>
+<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;        <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_CifgEnabled)</div>
+<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;        {</div>
+<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;            BuildArmComputeTensor(*m_InputLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_InputLayerNormWeights-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;        }</div>
+<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;        BuildArmComputeTensor(*m_ForgetLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_ForgetLayerNormWeights-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;        BuildArmComputeTensor(*m_CellLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_CellLayerNormWeights-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;        BuildArmComputeTensor(*m_OutputLayerNormWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_OutputLayerNormWeights-&gt;GetTensorInfo());</div>
+<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160; </div>
+<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;        lstm_param.set_layer_normalization_params(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_CifgEnabled ? <span class="keyword">nullptr</span> :</div>
+<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;                                                  m_InputLayerNormWeightsTensor.get(),</div>
+<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;                                                  m_ForgetLayerNormWeightsTensor.get(),</div>
+<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;                                                  m_CellLayerNormWeightsTensor.get(),</div>
+<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;                                                  m_OutputLayerNormWeightsTensor.get());</div>
+<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    }</div>
+<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160; </div>
+<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    <span class="keyword">const</span> arm_compute::ICLTensor&amp; input           = <span class="keyword">static_cast&lt;</span>IClTensorHandle*<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>
+<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    <span class="keyword">const</span> arm_compute::ICLTensor&amp; output_state_in = <span class="keyword">static_cast&lt;</span>IClTensorHandle*<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>
+<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    arm_compute::ICLTensor&amp; cell_state_in         = <span class="keyword">static_cast&lt;</span>IClTensorHandle*<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>
+<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160; </div>
+<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;    arm_compute::ICLTensor&amp; output_state_out      = <span class="keyword">static_cast&lt;</span>IClTensorHandle*<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>
+<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;    arm_compute::ICLTensor&amp; cell_state_out        = <span class="keyword">static_cast&lt;</span>IClTensorHandle*<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>
+<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    arm_compute::ICLTensor&amp; output                = <span class="keyword">static_cast&lt;</span>IClTensorHandle*<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>[3])-&gt;GetTensor();</div>
+<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160; </div>
+<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;    <span class="comment">// Get the batch_size and the num_units from the cellStateIn dimensions</span></div>
+<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    <span class="keyword">const</span> TensorInfo&amp; inputTensorInfo = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[2];</div>
+<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batch_size = armnn::numeric_cast&lt;unsigned int&gt;(inputTensorInfo.GetShape()[0]);</div>
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+<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160; </div>
+<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    m_ScratchBuffer = std::make_unique&lt;arm_compute::CLTensor&gt;();</div>
+<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_CifgEnabled)</div>
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+<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;        BuildArmComputeTensor(*m_ScratchBuffer, scratchBuffer1);</div>
+<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    }</div>
+<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    <span class="keywordflow">else</span></div>
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+<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;        <span class="comment">// scratch_buffer [num_units * 4, batch_size] without CIFG</span></div>
+<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;        <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> scratchBuffer2({ batch_size, num_units * 4 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div>
+<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;        BuildArmComputeTensor(*m_ScratchBuffer, scratchBuffer2);</div>
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+<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;        m_LstmLayer.configure(clCompileContext, &amp;input, m_InputToForgetWeightsTensor.get(),</div>
+<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;                              m_InputToCellWeightsTensor.get(), m_InputToOutputWeightsTensor.get(),</div>
+<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;                              m_RecurrentToForgetWeightsTensor.get(), m_RecurrentToCellWeightsTensor.get(),</div>
+<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;                              m_RecurrentToOutputWeightsTensor.get(), m_ForgetGateBiasTensor.get(),</div>
+<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;                              m_CellBiasTensor.get(), m_OutputGateBiasTensor.get(), &amp;output_state_in,</div>
+<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;                              &amp;cell_state_in, m_ScratchBuffer.get(), &amp;output_state_out,</div>
+<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;                              &amp;cell_state_out, &amp;output, lstm_param, activationLayerInfo,</div>
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+<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;    <span class="comment">// delete all the input tensors that will no longer be needed</span></div>
+<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    m_LstmLayer.prepare();</div>
+<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    FreeUnusedTensors();</div>
+<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;}</div>
+</div><!-- fragment -->
+<p class="reference">References <a class="el" href="_profiling_8hpp_source.html#l00227">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>, <a class="el" href="_workload_8hpp_source.html#l00067">BaseWorkload&lt; QueueDescriptor &gt;::GetGuid()</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, and <a class="el" href="_workload_data_8hpp_source.html#l00066">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="ae071e8822437c78baea75c3aef3a263a"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae071e8822437c78baea75c3aef3a263a">&#9670;&nbsp;</a></span>Execute()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void Execute </td>
+          <td>(</td>
+          <td class="paramname"></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classarmnn_1_1_i_workload.html#a72ae00e6604850c8798c5e0d825ee7e4">IWorkload</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_cl_lstm_float_workload_8cpp_source.html#l00238">238</a> of file <a class="el" href="_cl_lstm_float_workload_8cpp_source.html">ClLstmFloatWorkload.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;{</div>
+<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">&quot;ClLstmFloatWorkload_Execute&quot;</span>);</div>
+<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;    <a class="code" href="namespacearmnn.html#aff5bee79757341daf750c7dd7c123a15">RunClFunction</a>(m_LstmLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
+<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;}</div>
+</div><!-- fragment -->
+<p class="reference">References <a class="el" href="_cl_workload_utils_8hpp_source.html#l00036">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>, <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, and <a class="el" href="_cl_workload_utils_8hpp_source.html#l00168">armnn::RunClFunction()</a>.</p>
+
+</div>
+</div>
+<a id="ab0a67f8179ddb997dda0070a6661f837"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ab0a67f8179ddb997dda0070a6661f837">&#9670;&nbsp;</a></span>ReplaceInputTensorHandle()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void ReplaceInputTensorHandle </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> *&#160;</td>
+          <td class="paramname"><em>tensorHandle</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">unsigned int&#160;</td>
+          <td class="paramname"><em>slot</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classarmnn_1_1_base_workload.html#ab0a67f8179ddb997dda0070a6661f837">BaseWorkload&lt; QueueDescriptor &gt;</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_cl_lstm_float_workload_8cpp_source.html#l00396">396</a> of file <a class="el" href="_cl_lstm_float_workload_8cpp_source.html">ClLstmFloatWorkload.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;{</div>
+<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;    ITensorHandle* backupHandle = this-&gt;<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>[slot];</div>
+<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;    this-&gt;<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>[slot] = tensorHandle;</div>
+<div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;    <span class="keywordflow">try</span></div>
+<div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;    {</div>
+<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;        Reconfigure();</div>
+<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;    }</div>
+<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;    <span class="keywordflow">catch</span>(<a class="code" href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a>&amp; e)</div>
+<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;    {</div>
+<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;        <span class="comment">// Cannot reconfigure, revert the slot back and throw the exception.</span></div>
+<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;        this-&gt;<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>[slot] = backupHandle;</div>
+<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;        <span class="keywordflow">throw</span> e;</div>
+<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;    }</div>
+<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;}</div>
+</div><!-- fragment -->
+<p class="reference">References <a class="el" href="_workload_8hpp_source.html#l00089">BaseWorkload&lt; QueueDescriptor &gt;::m_Data</a>, and <a class="el" href="_workload_data_8hpp_source.html#l00026">QueueDescriptor::m_Inputs</a>.</p>
+
+</div>
+</div>
+<a id="acc08590544f05c641d21c724aedf26dd"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#acc08590544f05c641d21c724aedf26dd">&#9670;&nbsp;</a></span>ReplaceOutputTensorHandle()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void ReplaceOutputTensorHandle </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> *&#160;</td>
+          <td class="paramname"><em>tensorHandle</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">unsigned int&#160;</td>
+          <td class="paramname"><em>slot</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classarmnn_1_1_base_workload.html#acc08590544f05c641d21c724aedf26dd">BaseWorkload&lt; QueueDescriptor &gt;</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_cl_lstm_float_workload_8cpp_source.html#l00413">413</a> of file <a class="el" href="_cl_lstm_float_workload_8cpp_source.html">ClLstmFloatWorkload.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;{</div>
+<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;    ITensorHandle* backupHandle = this-&gt;<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>[slot];</div>
+<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;    this-&gt;<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>[slot] = tensorHandle;</div>
+<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;    <span class="keywordflow">try</span></div>
+<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;    {</div>
+<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;        Reconfigure();</div>
+<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;    }</div>
+<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;    <span class="keywordflow">catch</span>(<a class="code" href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a>&amp; e)</div>
+<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;    {</div>
+<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;        <span class="comment">// Cannot reconfigure, revert the slot back and throw the exception.</span></div>
+<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;        this-&gt;<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>[slot] = backupHandle;</div>
+<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;        <span class="keywordflow">throw</span> e;</div>
+<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;    }</div>
+<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;}</div>
+</div><!-- fragment -->
+<p class="reference">References <a class="el" href="_workload_8hpp_source.html#l00089">BaseWorkload&lt; QueueDescriptor &gt;::m_Data</a>, and <a class="el" href="_workload_data_8hpp_source.html#l00026">QueueDescriptor::m_Inputs</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>src/backends/cl/workloads/<a class="el" href="_cl_lstm_float_workload_8hpp_source.html">ClLstmFloatWorkload.hpp</a></li>
+<li>src/backends/cl/workloads/<a class="el" href="_cl_lstm_float_workload_8cpp_source.html">ClLstmFloatWorkload.cpp</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<div class="ttc" id="anamespacearmnn_html_aff5bee79757341daf750c7dd7c123a15"><div class="ttname"><a href="namespacearmnn.html#aff5bee79757341daf750c7dd7c123a15">armnn::RunClFunction</a></div><div class="ttdeci">void RunClFunction(arm_compute::IFunction &amp;function, const CheckLocation &amp;location)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00168">ClWorkloadUtils.hpp:168</a></div></div>
+<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>
+<div class="ttc" id="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div>
+<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>
+<div class="ttc" id="anamespacearmnn_html_aa1e93ef5f9ee3dbb5e7faa9578f180ae"><div class="ttname"><a href="namespacearmnn.html#aa1e93ef5f9ee3dbb5e7faa9578f180ae">armnn::ConvertLstmActivationFuncToAclLayerInfo</a></div><div class="ttdeci">arm_compute::ActivationLayerInfo ConvertLstmActivationFuncToAclLayerInfo(uint32_t activationFunction)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00116">ArmComputeUtils.hpp:116</a></div></div>
+<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>
+<div class="ttc" id="anamespacearmnn_html_a0eec4a463a166fad55307d9f26ba3a68"><div class="ttname"><a href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">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>
+<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>
+<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>
+<div class="ttc" id="aclassarmnn_1_1_base_workload_html_aaff95a48875d8fb4a616352906660ca9"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#aaff95a48875d8fb4a616352906660ca9">armnn::BaseWorkload::GetGuid</a></div><div class="ttdeci">arm::pipe::ProfilingGuid GetGuid() const final</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00067">Workload.hpp:67</a></div></div>
+<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::m_Data</a></div><div class="ttdeci">QueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_unimplemented_exception_html"><div class="ttname"><a href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00098">Exceptions.hpp:98</a></div></div>
+<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>
+<!-- start footer part -->
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