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<div class="title">ClQuantizedLstmWorkload.cpp</div> </div>
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<a href="_cl_quantized_lstm_workload_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_quantized_lstm_workload_8hpp.xhtml">ClQuantizedLstmWorkload.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_workload_utils_8hpp.xhtml">ClWorkloadUtils.hpp</a>&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;</div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_cpu_tensor_handle_8hpp.xhtml">backendsCommon/CpuTensorHandle.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_tensor_utils_8hpp.xhtml">aclCommon/ArmComputeTensorUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_cl_tensor_handle_8hpp.xhtml">cl/ClTensorHandle.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;{</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="keyword">using namespace </span>armcomputetensorutils;</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a5fb7fe07abfb2373103d842b47a24726"> 18</a></span>&#160;<a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.xhtml#a5fb7fe07abfb2373103d842b47a24726">ClQuantizedLstmWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; input, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; previousCellStateIn,</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; previousOutputIn, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; cellStateOut,</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; output,</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">QuantizedLstmInputParamsInfo</a>&amp; paramsInfo)</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;{</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <span class="comment">// Inputs</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclPreviousCellStateInInfo = BuildArmComputeTensorInfo(previousCellStateIn);</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclPreviousOutputInInfo = BuildArmComputeTensorInfo(previousOutputIn);</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">// Outputs</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclCellStateOutInfo = BuildArmComputeTensorInfo(cellStateOut);</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="comment">// Basic parameters</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputToInputWeightsInfo</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#afa2b04197a764428a8c3a648de8058fc">GetInputToInputWeights</a>());</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputToForgetWeightsInfo</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#a7dac08f19a1b235d5256d39136848a09">GetInputToForgetWeights</a>());</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputToCellWeightsInfo</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#a3b3c26330a05bf4ea40f8a6b402be354">GetInputToCellWeights</a>());</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputToOutputWeightsInfo</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#a800adf0f61e84d706060f63037c1a336">GetInputToOutputWeights</a>());</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToInputWeightsInfo</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ad159f9edbddeeb6cf6ff0ba042481ba8">GetRecurrentToInputWeights</a>());</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToForgetWeightsInfo</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#a534af7e4f3a6d50a6dab05abc245133d">GetRecurrentToForgetWeights</a>());</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToCellWeightsInfo</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ae5bfdd423b16f990c1713ef9f91f947b">GetRecurrentToCellWeights</a>());</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToOutputWeightsInfo</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#afe4d25acd31b98dee6f6b28d4d756071">GetRecurrentToOutputWeights</a>());</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ae1d5a487fcd13852927c8a2b9f9dfeb6">GetInputGateBias</a>());</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclForgetGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ac81393ef433b0c7c337f9f0d55f41ae4">GetForgetGateBias</a>());</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclCellBiasInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ad5f4be37766b41f342dd196cb1c6e141">GetCellBias</a>());</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclOutputGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ae0da94ba17ce67b95b5b9d6e5adc4271">GetOutputGateBias</a>());</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordflow">return</span> arm_compute::CLLSTMLayerQuantized::validate(&amp;aclInputInfo, &amp;aclInputToInputWeightsInfo,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; &amp;aclInputToForgetWeightsInfo, &amp;aclInputToCellWeightsInfo,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; &amp;aclInputToOutputWeightsInfo, &amp;aclRecurrentToInputWeightsInfo,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; &amp;aclRecurrentToForgetWeightsInfo, &amp;aclRecurrentToCellWeightsInfo,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; &amp;aclRecurrentToOutputWeightsInfo, &amp;aclInputGateBiasInfo,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; &amp;aclForgetGateBiasInfo, &amp;aclCellBiasInfo, &amp;aclOutputGateBiasInfo,</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; &amp;aclPreviousCellStateInInfo, &amp;aclPreviousOutputInInfo,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; &amp;aclCellStateOutInfo, &amp;aclOutputInfo);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;}</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"><a class="line" href="classarmnn_1_1_cl_quantized_lstm_workload.xhtml#a347628873148af48c91424c63a76fec7"> 64</a></span>&#160;<a class="code" href="classarmnn_1_1_cl_quantized_lstm_workload.xhtml#a347628873148af48c91424c63a76fec7">ClQuantizedLstmWorkload::ClQuantizedLstmWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml">QuantizedLstmQueueDescriptor</a> &amp;descriptor,</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &amp;<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>):</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.xhtml">BaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml">QuantizedLstmQueueDescriptor</a>&gt;(descriptor, info)</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;{</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; m_InputToInputWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; BuildArmComputeTensor(*m_InputToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">m_InputToInputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; m_InputToForgetWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; BuildArmComputeTensor(*m_InputToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">m_InputToForgetWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; m_InputToCellWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; BuildArmComputeTensor(*m_InputToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">m_InputToCellWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; m_InputToOutputWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; BuildArmComputeTensor(*m_InputToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">m_InputToOutputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; m_RecurrentToInputWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; BuildArmComputeTensor(*m_RecurrentToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">m_RecurrentToInputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; m_RecurrentToForgetWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; BuildArmComputeTensor(*m_RecurrentToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">m_RecurrentToForgetWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; m_RecurrentToCellWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; BuildArmComputeTensor(*m_RecurrentToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">m_RecurrentToCellWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; m_RecurrentToOutputWeightsTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; BuildArmComputeTensor(*m_RecurrentToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">m_RecurrentToOutputWeights</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; m_InputGateBiasTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; BuildArmComputeTensor(*m_InputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">m_InputGateBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; m_ForgetGateBiasTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; BuildArmComputeTensor(*m_ForgetGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">m_ForgetGateBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</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; m_CellBiasTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; BuildArmComputeTensor(*m_CellBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">m_CellBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; m_OutputGateBiasTensor = std::make_unique&lt;arm_compute::CLTensor&gt;();</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; BuildArmComputeTensor(*m_OutputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">m_OutputGateBias</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keyword">const</span> arm_compute::ICLTensor&amp; inputTensor = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.xhtml">IClTensorHandle</a>*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])-&gt;GetTensor();</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; arm_compute::ICLTensor&amp; cellStateInTensor = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.xhtml">IClTensorHandle</a>*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[1])-&gt;GetTensor();</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="keyword">const</span> arm_compute::ICLTensor&amp; outputStateInTensor = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.xhtml">IClTensorHandle</a>*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[2])-&gt;GetTensor();</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; arm_compute::ICLTensor&amp; cellStateOutTensor = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.xhtml">IClTensorHandle</a>*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])-&gt;GetTensor();</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; arm_compute::ICLTensor&amp; outputStateOutTensor = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.xhtml">IClTensorHandle</a>*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[1])-&gt;GetTensor();</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; m_QuantizedLstmLayer.configure(&amp;inputTensor, m_InputToInputWeightsTensor.get(), m_InputToForgetWeightsTensor.get(),</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; m_InputToCellWeightsTensor.get(), m_InputToOutputWeightsTensor.get(),</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; m_RecurrentToInputWeightsTensor.get(), m_RecurrentToForgetWeightsTensor.get(),</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; m_RecurrentToCellWeightsTensor.get(), m_RecurrentToOutputWeightsTensor.get(),</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; m_InputGateBiasTensor.get(), m_ForgetGateBiasTensor.get(), m_CellBiasTensor.get(),</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; m_OutputGateBiasTensor.get(), &amp;cellStateInTensor, &amp;outputStateInTensor,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; &amp;cellStateOutTensor, &amp;outputStateOutTensor);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <a class="code" href="namespacearmnn.xhtml#a46747c3d0b99968be0b37d74bc9687dd">InitializeArmComputeClTensorData</a>(*m_InputToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">m_InputToInputWeights</a>);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <a class="code" href="namespacearmnn.xhtml#a46747c3d0b99968be0b37d74bc9687dd">InitializeArmComputeClTensorData</a>(*m_InputToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">m_InputToForgetWeights</a>);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <a class="code" href="namespacearmnn.xhtml#a46747c3d0b99968be0b37d74bc9687dd">InitializeArmComputeClTensorData</a>(*m_InputToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">m_InputToCellWeights</a>);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <a class="code" href="namespacearmnn.xhtml#a46747c3d0b99968be0b37d74bc9687dd">InitializeArmComputeClTensorData</a>(*m_InputToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">m_InputToOutputWeights</a>);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <a class="code" href="namespacearmnn.xhtml#a46747c3d0b99968be0b37d74bc9687dd">InitializeArmComputeClTensorData</a>(*m_RecurrentToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">m_RecurrentToInputWeights</a>);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <a class="code" href="namespacearmnn.xhtml#a46747c3d0b99968be0b37d74bc9687dd">InitializeArmComputeClTensorData</a>(*m_RecurrentToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">m_RecurrentToForgetWeights</a>);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <a class="code" href="namespacearmnn.xhtml#a46747c3d0b99968be0b37d74bc9687dd">InitializeArmComputeClTensorData</a>(*m_RecurrentToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">m_RecurrentToCellWeights</a>);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <a class="code" href="namespacearmnn.xhtml#a46747c3d0b99968be0b37d74bc9687dd">InitializeArmComputeClTensorData</a>(*m_RecurrentToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">m_RecurrentToOutputWeights</a>);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <a class="code" href="namespacearmnn.xhtml#a46747c3d0b99968be0b37d74bc9687dd">InitializeArmComputeClTensorData</a>(*m_InputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">m_InputGateBias</a>);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <a class="code" href="namespacearmnn.xhtml#a46747c3d0b99968be0b37d74bc9687dd">InitializeArmComputeClTensorData</a>(*m_ForgetGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">m_ForgetGateBias</a>);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <a class="code" href="namespacearmnn.xhtml#a46747c3d0b99968be0b37d74bc9687dd">InitializeArmComputeClTensorData</a>(*m_CellBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">m_CellBias</a>);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <a class="code" href="namespacearmnn.xhtml#a46747c3d0b99968be0b37d74bc9687dd">InitializeArmComputeClTensorData</a>(*m_OutputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">m_OutputGateBias</a>);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; m_QuantizedLstmLayer.prepare();</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; FreeUnusedTensors();</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"><a class="line" href="classarmnn_1_1_cl_quantized_lstm_workload.xhtml#ae071e8822437c78baea75c3aef3a263a"> 136</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_quantized_lstm_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClQuantizedLstmWorkload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <a class="code" href="_cl_workload_utils_8hpp.xhtml#a9166fc90a3ea47a2c9499a810b204daf">ARMNN_SCOPED_PROFILING_EVENT_CL</a>(<span class="stringliteral">&quot;ClQuantizedLstmWorkload_Execute&quot;</span>);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <a class="code" href="namespacearmnn.xhtml#aff5bee79757341daf750c7dd7c123a15">RunClFunction</a>(m_QuantizedLstmLayer, <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;}</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160;<span class="keywordtype">void</span> ClQuantizedLstmWorkload::FreeUnusedTensors()</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; FreeTensorIfUnused(m_InputToInputWeightsTensor);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; FreeTensorIfUnused(m_InputToForgetWeightsTensor);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; FreeTensorIfUnused(m_InputToCellWeightsTensor);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; FreeTensorIfUnused(m_InputToOutputWeightsTensor);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; FreeTensorIfUnused(m_RecurrentToInputWeightsTensor);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; FreeTensorIfUnused(m_RecurrentToForgetWeightsTensor);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; FreeTensorIfUnused(m_RecurrentToCellWeightsTensor);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; FreeTensorIfUnused(m_RecurrentToOutputWeightsTensor);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; FreeTensorIfUnused(m_InputGateBiasTensor);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; FreeTensorIfUnused(m_ForgetGateBiasTensor);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; FreeTensorIfUnused(m_CellBiasTensor);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; FreeTensorIfUnused(m_OutputGateBiasTensor);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;}</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;} <span class="comment">// namespace armnn</span></div><div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a45d73e66cbb2b65049e4016c20657ccf"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00537">WorkloadData.hpp:537</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_acb3aade8fae984f7293e222dcbe66030"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">armnn::QuantizedLstmQueueDescriptor::m_InputGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00541">WorkloadData.hpp:541</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a46747c3d0b99968be0b37d74bc9687dd"><div class="ttname"><a href="namespacearmnn.xhtml#a46747c3d0b99968be0b37d74bc9687dd">armnn::InitializeArmComputeClTensorData</a></div><div class="ttdeci">void InitializeArmComputeClTensorData(arm_compute::CLTensor &amp;clTensor, const ConstCpuTensorHandle *handle)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.xhtml#l00090">ClWorkloadUtils.hpp:90</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml">armnn::QuantizedLstmQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00512">WorkloadData.hpp:512</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_ae5bfdd423b16f990c1713ef9f91f947b"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ae5bfdd423b16f990c1713ef9f91f947b">armnn::QuantizedLstmInputParamsInfo::GetRecurrentToCellWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetRecurrentToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00190">QuantizedLstmParams.hpp:190</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="_cl_workload_utils_8hpp_xhtml_a9166fc90a3ea47a2c9499a810b204daf"><div class="ttname"><a href="_cl_workload_utils_8hpp.xhtml#a9166fc90a3ea47a2c9499a810b204daf">ARMNN_SCOPED_PROFILING_EVENT_CL</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.xhtml#l00020">ClWorkloadUtils.hpp:20</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_aff5bee79757341daf750c7dd7c123a15"><div class="ttname"><a href="namespacearmnn.xhtml#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.xhtml#l00131">ClWorkloadUtils.hpp:131</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_a800adf0f61e84d706060f63037c1a336"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#a800adf0f61e84d706060f63037c1a336">armnn::QuantizedLstmInputParamsInfo::GetInputToOutputWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetInputToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00177">QuantizedLstmParams.hpp:177</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a28ad98d17603fd8b12e046f8ece58970"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">armnn::QuantizedLstmQueueDescriptor::m_InputToCellWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00533">WorkloadData.hpp:533</a></div></div>
<div class="ttc" id="classarmnn_1_1_base_workload_xhtml_a0a487c549c63319505095b855ea3c195"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">armnn::BaseWorkload&lt; QuantizedLstmQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">const QuantizedLstmQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00046">Workload.hpp:46</a></div></div>
<div class="ttc" id="_arm_compute_tensor_utils_8hpp_xhtml"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.xhtml">ArmComputeTensorUtils.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_afa2b04197a764428a8c3a648de8058fc"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#afa2b04197a764428a8c3a648de8058fc">armnn::QuantizedLstmInputParamsInfo::GetInputToInputWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetInputToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00165">QuantizedLstmParams.hpp:165</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
<div class="ttc" id="classarmnn_1_1_base_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml">armnn::BaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00028">Workload.hpp:28</a></div></div>
<div class="ttc" id="classarmnn_1_1_cl_quantized_lstm_workload_xhtml_a347628873148af48c91424c63a76fec7"><div class="ttname"><a href="classarmnn_1_1_cl_quantized_lstm_workload.xhtml#a347628873148af48c91424c63a76fec7">armnn::ClQuantizedLstmWorkload::ClQuantizedLstmWorkload</a></div><div class="ttdeci">ClQuantizedLstmWorkload(const QuantizedLstmQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_quantized_lstm_workload_8cpp_source.xhtml#l00064">ClQuantizedLstmWorkload.cpp:64</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">armnn::QuantizedLstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00119">QuantizedLstmParams.hpp:119</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_aba3ffe91d818266b8785ce971548eb59"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">armnn::QuantizedLstmQueueDescriptor::m_ForgetGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00542">WorkloadData.hpp:542</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_a534af7e4f3a6d50a6dab05abc245133d"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#a534af7e4f3a6d50a6dab05abc245133d">armnn::QuantizedLstmInputParamsInfo::GetRecurrentToForgetWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetRecurrentToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00186">QuantizedLstmParams.hpp:186</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00026">Types.hpp:26</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_a3b3c26330a05bf4ea40f8a6b402be354"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#a3b3c26330a05bf4ea40f8a6b402be354">armnn::QuantizedLstmInputParamsInfo::GetInputToCellWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetInputToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00173">QuantizedLstmParams.hpp:173</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a98d377149071d8842d610cc0734d1cfe"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00536">WorkloadData.hpp:536</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_aea142bd50ffb93631c2e08324ec92a1e"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00538">WorkloadData.hpp:538</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_ac81393ef433b0c7c337f9f0d55f41ae4"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ac81393ef433b0c7c337f9f0d55f41ae4">armnn::QuantizedLstmInputParamsInfo::GetForgetGateBias</a></div><div class="ttdeci">const TensorInfo &amp; GetForgetGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00203">QuantizedLstmParams.hpp:203</a></div></div>
<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00192">Exceptions.hpp:192</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_adebc1771e5a1f4b113a7aa594ea74d2c"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00539">WorkloadData.hpp:539</a></div></div>
<div class="ttc" id="_cpu_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.xhtml">CpuTensorHandle.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_ae1d5a487fcd13852927c8a2b9f9dfeb6"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ae1d5a487fcd13852927c8a2b9f9dfeb6">armnn::QuantizedLstmInputParamsInfo::GetInputGateBias</a></div><div class="ttdeci">const TensorInfo &amp; GetInputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00199">QuantizedLstmParams.hpp:199</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_a7dac08f19a1b235d5256d39136848a09"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#a7dac08f19a1b235d5256d39136848a09">armnn::QuantizedLstmInputParamsInfo::GetInputToForgetWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetInputToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00169">QuantizedLstmParams.hpp:169</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_ad5f4be37766b41f342dd196cb1c6e141"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ad5f4be37766b41f342dd196cb1c6e141">armnn::QuantizedLstmInputParamsInfo::GetCellBias</a></div><div class="ttdeci">const TensorInfo &amp; GetCellBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00207">QuantizedLstmParams.hpp:207</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_ae0da94ba17ce67b95b5b9d6e5adc4271"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ae0da94ba17ce67b95b5b9d6e5adc4271">armnn::QuantizedLstmInputParamsInfo::GetOutputGateBias</a></div><div class="ttdeci">const TensorInfo &amp; GetOutputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00211">QuantizedLstmParams.hpp:211</a></div></div>
<div class="ttc" id="_cl_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_cl_tensor_handle_8hpp.xhtml">ClTensorHandle.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a75980b5795efd899a0c678a06a900c6d"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">armnn::QuantizedLstmQueueDescriptor::m_CellBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00543">WorkloadData.hpp:543</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#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.xhtml#l00031">WorkloadData.hpp:31</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_cl_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_cl_tensor_handle.xhtml">armnn::IClTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cl_tensor_handle_8hpp_source.xhtml#l00025">ClTensorHandle.hpp:25</a></div></div>
<div class="ttc" id="classarmnn_1_1_cl_quantized_lstm_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_cl_quantized_lstm_workload.xhtml#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.xhtml#l00136">ClQuantizedLstmWorkload.cpp:136</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_ad159f9edbddeeb6cf6ff0ba042481ba8"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ad159f9edbddeeb6cf6ff0ba042481ba8">armnn::QuantizedLstmInputParamsInfo::GetRecurrentToInputWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetRecurrentToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00182">QuantizedLstmParams.hpp:182</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a332551528a4b3534c2d6c89ce816fcd9"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">armnn::QuantizedLstmQueueDescriptor::m_OutputGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00544">WorkloadData.hpp:544</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_afe4d25acd31b98dee6f6b28d4d756071"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#afe4d25acd31b98dee6f6b28d4d756071">armnn::QuantizedLstmInputParamsInfo::GetRecurrentToOutputWeights</a></div><div class="ttdeci">const TensorInfo &amp; GetRecurrentToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00194">QuantizedLstmParams.hpp:194</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a3ea82566d98c5a657c76c3d851c47848"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">armnn::QuantizedLstmQueueDescriptor::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00532">WorkloadData.hpp:532</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#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.xhtml#l00030">WorkloadData.hpp:30</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a83dc9086b2e4a4e4cadb66bd874df798"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">armnn::QuantizedLstmQueueDescriptor::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00534">WorkloadData.hpp:534</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a08a1932be591c315a512a877d38b22df"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">armnn::QuantizedLstmQueueDescriptor::m_InputToInputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00531">WorkloadData.hpp:531</a></div></div>
<div class="ttc" id="_cl_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_cl_workload_utils_8hpp.xhtml">ClWorkloadUtils.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">armnn::ConstCpuTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00037">CpuTensorHandle.hpp:37</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a5fb7fe07abfb2373103d842b47a24726"><div class="ttname"><a href="namespacearmnn.xhtml#a5fb7fe07abfb2373103d842b47a24726">armnn::ClQuantizedLstmWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClQuantizedLstmWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;previousCellStateIn, const TensorInfo &amp;previousOutputIn, const TensorInfo &amp;cellStateOut, const TensorInfo &amp;output, const QuantizedLstmInputParamsInfo &amp;paramsInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_quantized_lstm_workload_8cpp_source.xhtml#l00018">ClQuantizedLstmWorkload.cpp:18</a></div></div>
<div class="ttc" id="_cl_quantized_lstm_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_quantized_lstm_workload_8hpp.xhtml">ClQuantizedLstmWorkload.hpp</a></div></div>
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