IVGCVSW-7702 Update Doxygen Docu for 23.08
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I357a9f7e47614589327c1ac5d95b6224ff77103d
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+<div class="title">ClQuantizedLstmWorkload.cpp</div> </div>
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+<div class="contents">
+<a href="_cl_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> <span class="comment">//</span></div>
+<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2019-2023 Arm Ltd and Contributors. All rights reserved.</span></div>
+<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div>
+<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div>
+<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_cl_quantized_lstm_workload_8hpp.html">ClQuantizedLstmWorkload.hpp</a>"</span></div>
+<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a>"</span></div>
+<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>  </div>
+<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.hpp</a>></span></div>
+<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.hpp</a>></span></div>
+<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_cl_tensor_handle_8hpp.html">cl/ClTensorHandle.hpp</a>></span></div>
+<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>  </div>
+<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
+<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> {</div>
+<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  </div>
+<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">using namespace </span>armcomputetensorutils;</div>
+<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  </div>
+<div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a5fb7fe07abfb2373103d842b47a24726"> 18</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#a5fb7fe07abfb2373103d842b47a24726">ClQuantizedLstmWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& previousCellStateIn,</div>
+<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& previousOutputIn, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& cellStateOut,</div>
+<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div>
+<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html">QuantizedLstmInputParamsInfo</a>& paramsInfo)</div>
+<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> {</div>
+<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="comment">// Inputs</span></div>
+<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);</div>
+<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclPreviousCellStateInInfo = BuildArmComputeTensorInfo(previousCellStateIn);</div>
+<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclPreviousOutputInInfo = BuildArmComputeTensorInfo(previousOutputIn);</div>
+<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  </div>
+<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="comment">// Outputs</span></div>
+<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclCellStateOutInfo = BuildArmComputeTensorInfo(cellStateOut);</div>
+<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);</div>
+<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  </div>
+<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="comment">// Basic parameters</span></div>
+<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInputToInputWeightsInfo</div>
+<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#afa2b04197a764428a8c3a648de8058fc">GetInputToInputWeights</a>());</div>
+<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInputToForgetWeightsInfo</div>
+<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#a7dac08f19a1b235d5256d39136848a09">GetInputToForgetWeights</a>());</div>
+<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInputToCellWeightsInfo</div>
+<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#a3b3c26330a05bf4ea40f8a6b402be354">GetInputToCellWeights</a>());</div>
+<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInputToOutputWeightsInfo</div>
+<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#a800adf0f61e84d706060f63037c1a336">GetInputToOutputWeights</a>());</div>
+<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToInputWeightsInfo</div>
+<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#ad159f9edbddeeb6cf6ff0ba042481ba8">GetRecurrentToInputWeights</a>());</div>
+<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToForgetWeightsInfo</div>
+<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#a534af7e4f3a6d50a6dab05abc245133d">GetRecurrentToForgetWeights</a>());</div>
+<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToCellWeightsInfo</div>
+<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#ae5bfdd423b16f990c1713ef9f91f947b">GetRecurrentToCellWeights</a>());</div>
+<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToOutputWeightsInfo</div>
+<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#afe4d25acd31b98dee6f6b28d4d756071">GetRecurrentToOutputWeights</a>());</div>
+<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInputGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#ae1d5a487fcd13852927c8a2b9f9dfeb6">GetInputGateBias</a>());</div>
+<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclForgetGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#ac81393ef433b0c7c337f9f0d55f41ae4">GetForgetGateBias</a>());</div>
+<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclCellBiasInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#ad5f4be37766b41f342dd196cb1c6e141">GetCellBias</a>());</div>
+<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclOutputGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.html#ae0da94ba17ce67b95b5b9d6e5adc4271">GetOutputGateBias</a>());</div>
+<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  </div>
+<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">return</span> arm_compute::CLLSTMLayerQuantized::validate(&aclInputInfo, &aclInputToInputWeightsInfo,</div>
+<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  &aclInputToForgetWeightsInfo, &aclInputToCellWeightsInfo,</div>
+<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  &aclInputToOutputWeightsInfo, &aclRecurrentToInputWeightsInfo,</div>
+<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  &aclRecurrentToForgetWeightsInfo, &aclRecurrentToCellWeightsInfo,</div>
+<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  &aclRecurrentToOutputWeightsInfo, &aclInputGateBiasInfo,</div>
+<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  &aclForgetGateBiasInfo, &aclCellBiasInfo, &aclOutputGateBiasInfo,</div>
+<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  &aclPreviousCellStateInInfo, &aclPreviousOutputInInfo,</div>
+<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  &aclCellStateOutInfo, &aclOutputInfo);</div>
+<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> }</div>
+<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  </div>
+<div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_quantized_lstm_workload.html#a004528fc09cdcdec10388f011fbfc184"> 64</a></span> <a class="code" href="classarmnn_1_1_cl_quantized_lstm_workload.html#a004528fc09cdcdec10388f011fbfc184">ClQuantizedLstmWorkload::ClQuantizedLstmWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html">QuantizedLstmQueueDescriptor</a> &descriptor,</div>
+<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &info,</div>
+<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">const</span> arm_compute::CLCompileContext& clCompileContext)</div>
+<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  : <a class="code" href="classarmnn_1_1_cl_base_workload.html">ClBaseWorkload</a><<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html">QuantizedLstmQueueDescriptor</a>>(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div>
+<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> {</div>
+<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  m_InputToInputWeightsTensor = std::make_unique<arm_compute::CLTensor>();</div>
+<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  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>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
+<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  </div>
+<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  m_InputToForgetWeightsTensor = std::make_unique<arm_compute::CLTensor>();</div>
+<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  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>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
+<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  </div>
+<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  m_InputToCellWeightsTensor = std::make_unique<arm_compute::CLTensor>();</div>
+<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  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>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
+<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  </div>
+<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  m_InputToOutputWeightsTensor = std::make_unique<arm_compute::CLTensor>();</div>
+<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  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>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
+<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  </div>
+<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  m_RecurrentToInputWeightsTensor = std::make_unique<arm_compute::CLTensor>();</div>
+<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  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>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
+<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  </div>
+<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  m_RecurrentToForgetWeightsTensor = std::make_unique<arm_compute::CLTensor>();</div>
+<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  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>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
+<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  </div>
+<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  m_RecurrentToCellWeightsTensor = std::make_unique<arm_compute::CLTensor>();</div>
+<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  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>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
+<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  </div>
+<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  m_RecurrentToOutputWeightsTensor = std::make_unique<arm_compute::CLTensor>();</div>
+<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  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>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
+<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  </div>
+<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  m_InputGateBiasTensor = std::make_unique<arm_compute::CLTensor>();</div>
+<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  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>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
+<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  </div>
+<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  m_ForgetGateBiasTensor = std::make_unique<arm_compute::CLTensor>();</div>
+<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  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>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
+<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  </div>
+<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  m_CellBiasTensor = std::make_unique<arm_compute::CLTensor>();</div>
+<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  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>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
+<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  </div>
+<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  m_OutputGateBiasTensor = std::make_unique<arm_compute::CLTensor>();</div>
+<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  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>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div>
+<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  </div>
+<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keyword">const</span> arm_compute::ICLTensor& inputTensor = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">></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])->GetTensor();</div>
+<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  arm_compute::ICLTensor& cellStateInTensor = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">></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])->GetTensor();</div>
+<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">const</span> arm_compute::ICLTensor& outputStateInTensor = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">></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])->GetTensor();</div>
+<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  </div>
+<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  arm_compute::ICLTensor& cellStateOutTensor = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">></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])->GetTensor();</div>
+<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  arm_compute::ICLTensor& outputStateOutTensor = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">></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])->GetTensor();</div>
+<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  </div>
+<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  {</div>
+<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClQuantizedLstmWorkload_configure"</span>);</div>
+<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  m_QuantizedLstmLayer.configure(clCompileContext, &inputTensor, m_InputToInputWeightsTensor.get(),</div>
+<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  m_InputToForgetWeightsTensor.get(),</div>
+<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  m_InputToCellWeightsTensor.get(), m_InputToOutputWeightsTensor.get(),</div>
+<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  m_RecurrentToInputWeightsTensor.get(), m_RecurrentToForgetWeightsTensor.get(),</div>
+<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  m_RecurrentToCellWeightsTensor.get(), m_RecurrentToOutputWeightsTensor.get(),</div>
+<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  m_InputGateBiasTensor.get(), m_ForgetGateBiasTensor.get(),</div>
+<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  m_CellBiasTensor.get(),</div>
+<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  m_OutputGateBiasTensor.get(), &cellStateInTensor, &outputStateInTensor,</div>
+<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  &cellStateOutTensor, &outputStateOutTensor);</div>
+<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  }</div>
+<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  </div>
+<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <a class="code" href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">InitializeArmComputeClTensorData</a>(*m_InputToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a>);</div>
+<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">InitializeArmComputeClTensorData</a>(*m_InputToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a>);</div>
+<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">InitializeArmComputeClTensorData</a>(*m_InputToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a>);</div>
+<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <a class="code" href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">InitializeArmComputeClTensorData</a>(*m_InputToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a>);</div>
+<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">InitializeArmComputeClTensorData</a>(*m_RecurrentToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a>);</div>
+<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">InitializeArmComputeClTensorData</a>(*m_RecurrentToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a>);</div>
+<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <a class="code" href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">InitializeArmComputeClTensorData</a>(*m_RecurrentToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a>);</div>
+<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">InitializeArmComputeClTensorData</a>(*m_RecurrentToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a>);</div>
+<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">InitializeArmComputeClTensorData</a>(*m_InputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a>);</div>
+<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">InitializeArmComputeClTensorData</a>(*m_ForgetGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a>);</div>
+<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">InitializeArmComputeClTensorData</a>(*m_CellBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a>);</div>
+<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">InitializeArmComputeClTensorData</a>(*m_OutputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a>);</div>
+<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  </div>
+<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  m_QuantizedLstmLayer.prepare();</div>
+<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  FreeUnusedTensors();</div>
+<div class="line"><a name="l00140"></a><span class="lineno"> 140</span> }</div>
+<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  </div>
+<div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_quantized_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a"> 142</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_quantized_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">ClQuantizedLstmWorkload::Execute</a>()<span class="keyword"> const</span></div>
+<div class="line"><a name="l00143"></a><span class="lineno"> 143</span> <span class="keyword"></span>{</div>
+<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClQuantizedLstmWorkload_Execute"</span>);</div>
+<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <a class="code" href="namespacearmnn.html#aff5bee79757341daf750c7dd7c123a15">RunClFunction</a>(m_QuantizedLstmLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
+<div class="line"><a name="l00146"></a><span class="lineno"> 146</span> }</div>
+<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  </div>
+<div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="keywordtype">void</span> ClQuantizedLstmWorkload::FreeUnusedTensors()</div>
+<div class="line"><a name="l00149"></a><span class="lineno"> 149</span> {</div>
+<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  FreeTensorIfUnused(m_InputToInputWeightsTensor);</div>
+<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  FreeTensorIfUnused(m_InputToForgetWeightsTensor);</div>
+<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  FreeTensorIfUnused(m_InputToCellWeightsTensor);</div>
+<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  FreeTensorIfUnused(m_InputToOutputWeightsTensor);</div>
+<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  FreeTensorIfUnused(m_RecurrentToInputWeightsTensor);</div>
+<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  FreeTensorIfUnused(m_RecurrentToForgetWeightsTensor);</div>
+<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  FreeTensorIfUnused(m_RecurrentToCellWeightsTensor);</div>
+<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  FreeTensorIfUnused(m_RecurrentToOutputWeightsTensor);</div>
+<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  FreeTensorIfUnused(m_InputGateBiasTensor);</div>
+<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  FreeTensorIfUnused(m_ForgetGateBiasTensor);</div>
+<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  FreeTensorIfUnused(m_CellBiasTensor);</div>
+<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  FreeTensorIfUnused(m_OutputGateBiasTensor);</div>
+<div class="line"><a name="l00162"></a><span class="lineno"> 162</span> }</div>
+<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  </div>
+<div class="line"><a name="l00164"></a><span class="lineno"> 164</span> } <span class="comment">// namespace armnn</span></div>
+</div><!-- fragment --></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 &function, const CheckLocation &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="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#l00640">WorkloadData.hpp:640</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_cl_quantized_lstm_workload_html_a004528fc09cdcdec10388f011fbfc184"><div class="ttname"><a href="classarmnn_1_1_cl_quantized_lstm_workload.html#a004528fc09cdcdec10388f011fbfc184">armnn::ClQuantizedLstmWorkload::ClQuantizedLstmWorkload</a></div><div class="ttdeci">ClQuantizedLstmWorkload(const QuantizedLstmQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_quantized_lstm_workload_8cpp_source.html#l00064">ClQuantizedLstmWorkload.cpp:64</a></div></div>
+<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 & GetForgetGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00203">QuantizedLstmParams.hpp:203</a></div></div>
+<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#l00633">WorkloadData.hpp:633</a></div></div>
+<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 & GetInputToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00169">QuantizedLstmParams.hpp:169</a></div></div>
+<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#l00629">WorkloadData.hpp:629</a></div></div>
+<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 & GetRecurrentToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00186">QuantizedLstmParams.hpp:186</a></div></div>
+<div class="ttc" id="a_cl_quantized_lstm_workload_8hpp_html"><div class="ttname"><a href="_cl_quantized_lstm_workload_8hpp.html">ClQuantizedLstmWorkload.hpp</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="aclassarmnn_1_1_cl_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_cl_base_workload.html">armnn::ClBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_cl_base_workload_8hpp_source.html#l00013">ClBaseWorkload.hpp:13</a></div></div>
+<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#l00636">WorkloadData.hpp:636</a></div></div>
+<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#l00638">WorkloadData.hpp:638</a></div></div>
+<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 & GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00040">TensorHandle.hpp:40</a></div></div>
+<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 & GetInputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00199">QuantizedLstmParams.hpp:199</a></div></div>
+<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>
+<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#l00635">WorkloadData.hpp:635</a></div></div>
+<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 & GetRecurrentToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00194">QuantizedLstmParams.hpp:194</a></div></div>
+<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 & GetInputToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00165">QuantizedLstmParams.hpp:165</a></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="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 & GetCellBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00207">QuantizedLstmParams.hpp:207</a></div></div>
+<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#l00628">WorkloadData.hpp:628</a></div></div>
+<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>
+<div class="ttc" id="a_cl_workload_utils_8hpp_html"><div class="ttname"><a href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a></div></div>
+<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#l00634">WorkloadData.hpp:634</a></div></div>
+<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 & GetRecurrentToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00190">QuantizedLstmParams.hpp:190</a></div></div>
+<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#l00630">WorkloadData.hpp:630</a></div></div>
+<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 & GetInputToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00177">QuantizedLstmParams.hpp:177</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 &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< ITensorHandle * > 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="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#l00631">WorkloadData.hpp:631</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_cl_quantized_lstm_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_cl_quantized_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::ClQuantizedLstmWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_quantized_lstm_workload_8cpp_source.html#l00142">ClQuantizedLstmWorkload.cpp:142</a></div></div>
+<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#l00609">WorkloadData.hpp:609</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_i_cl_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_i_cl_tensor_handle.html">armnn::IClTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_cl_tensor_handle_8hpp_source.html#l00013">IClTensorHandle.hpp:13</a></div></div>
+<div class="ttc" id="a_tensor_handle_8hpp_html"><div class="ttname"><a href="_tensor_handle_8hpp.html">TensorHandle.hpp</a></div></div>
+<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>
+<div class="ttc" id="a_cl_tensor_handle_8hpp_html"><div class="ttname"><a href="_cl_tensor_handle_8hpp.html">ClTensorHandle.hpp</a></div></div>
+<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< QuantizedLstmQueueDescriptor >::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>
+<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 & GetOutputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00211">QuantizedLstmParams.hpp:211</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a5fb7fe07abfb2373103d842b47a24726"><div class="ttname"><a href="namespacearmnn.html#a5fb7fe07abfb2373103d842b47a24726">armnn::ClQuantizedLstmWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClQuantizedLstmWorkloadValidate(const TensorInfo &input, const TensorInfo &previousCellStateIn, const TensorInfo &previousOutputIn, const TensorInfo &cellStateOut, const TensorInfo &output, const QuantizedLstmInputParamsInfo &paramsInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_quantized_lstm_workload_8cpp_source.html#l00018">ClQuantizedLstmWorkload.cpp:18</a></div></div>
+<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
+<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>
+<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 & GetInputToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00173">QuantizedLstmParams.hpp:173</a></div></div>
+<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#l00641">WorkloadData.hpp:641</a></div></div>
+<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 & GetRecurrentToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00182">QuantizedLstmParams.hpp:182</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< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div>
+<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#l00639">WorkloadData.hpp:639</a></div></div>
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