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<div class="title">QLstmLayer.hpp</div> </div>
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<a href="_q_lstm_layer_8hpp.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 © 2020 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> <span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>  </div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_layer_with_parameters_8hpp.html">LayerWithParameters.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="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> {</div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>  </div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">class </span>ScopedTensorHandle;</div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  </div>
<div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_basic_parameters.html"> 14</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html">QLstmBasicParameters</a></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {<span class="comment"></span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8).</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef"> 17</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>;<span class="comment"></span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8).</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318"> 19</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>;<span class="comment"></span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8).</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e"> 21</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>;</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"></span> </div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [num_units, outputSize] (QSymmS8).</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3"> 24</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>;<span class="comment"></span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [num_units, outputSize] (QSymmS8).</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b"> 26</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>;<span class="comment"></span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [num_units, outputSize] (QSymmS8).</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e"> 28</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>;</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"></span> </div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"> /// A unique pointer to represent 1D bias tensor with dimensions [num_units] (int32).</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be"> 31</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>;<span class="comment"></span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"> /// A unique pointer to represent 1D bias tensor with dimensions [num_units] (int32).</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558"> 33</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">m_CellBias</a>;<span class="comment"></span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"> /// A unique pointer to represent 1D bias tensor with dimensions [num_units] (int32).</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3"> 35</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>;</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> };</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  </div>
<div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html"> 38</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html">QLstmOptProjectionParameters</a></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> {<span class="comment"></span></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units] (QSymmS8).</span></div>
<div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591"> 41</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a>;<span class="comment"></span></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [output_size] (int32).</span></div>
<div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7"> 43</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a>;</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> };</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  </div>
<div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html"> 46</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html">QLstmOptPeepholeParameters</a></div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> {<span class="comment"></span></div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</span></div>
<div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29"> 49</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a>;<span class="comment"></span></div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</span></div>
<div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8"> 51</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a>;<span class="comment"></span></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</span></div>
<div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb"> 53</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a>;</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> };</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  </div>
<div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html"> 56</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html">QLstmOptCifgParameters</a></div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> {<span class="comment"></span></div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units] (QSymmS8).</span></div>
<div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670"> 59</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>;<span class="comment"></span></div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units] (QSymmS8).</span></div>
<div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c"> 61</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>;<span class="comment"></span></div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units] (int32).</span></div>
<div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c"> 63</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>;</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> };</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  </div>
<div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html"> 66</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html">QLstmOptLayerNormParameters</a></div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> {<span class="comment"></span></div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</span></div>
<div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219"> 69</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a>;<span class="comment"></span></div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</span></div>
<div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db"> 71</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a>;<span class="comment"></span></div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</span></div>
<div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347"> 73</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a>;<span class="comment"></span></div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</span></div>
<div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669"> 75</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a>;</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> };</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"></span> </div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment">/// This layer represents a QLstm operation.</span></div>
<div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classarmnn_1_1_q_lstm_layer.html"> 79</a></span> <span class="comment"></span><span class="keyword">class </span><a class="code" href="classarmnn_1_1_q_lstm_layer.html">QLstmLayer</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters</a><QLstmDescriptor></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> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  </div>
<div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a"> 83</a></span>  <a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html">QLstmBasicParameters</a> <a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>;</div>
<div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3"> 84</a></span>  <a class="code" href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html">QLstmOptCifgParameters</a> <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">m_CifgParameters</a>;</div>
<div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3"> 85</a></span>  <a class="code" href="structarmnn_1_1_q_lstm_opt_projection_parameters.html">QLstmOptProjectionParameters</a> <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">m_ProjectionParameters</a>;</div>
<div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5"> 86</a></span>  <a class="code" href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html">QLstmOptPeepholeParameters</a> <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">m_PeepholeParameters</a>;</div>
<div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d"> 87</a></span>  <a class="code" href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html">QLstmOptLayerNormParameters</a> <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">m_LayerNormParameters</a>;</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="comment"></span> </div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="comment"> /// Makes a workload for the QLstm type.</span></div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment"> /// @param [in] graph The graph where this layer can be found.</span></div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="comment"> /// @param [in] factory The workload factory which will create the workload.</span></div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="comment"> /// @return A pointer to the created workload, or nullptr if not created.</span></div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment"></span> <span class="keyword">virtual</span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_q_lstm_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a>& factory) <span class="keyword">const override</span>;</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment"></span> </div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="comment"> /// Creates a dynamically-allocated copy of this layer.</span></div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment"> /// @param [in] graph The graph into which this layer is being cloned.</span></div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_q_lstm_layer.html">QLstmLayer</a>* <a class="code" href="classarmnn_1_1_q_lstm_layer.html#ac1c16df49489aead2241b460f103f454">Clone</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>& graph) <span class="keyword">const override</span>;</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment"></span> </div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"> /// Check if the input tensor shape(s)</span></div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"> /// will lead to a valid configuration of @ref QLstmLayer.</span></div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment"> /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.</span></div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a8c8f543d7e9729362c266d12ec169966">ValidateTensorShapesFromInputs</a>() <span class="keyword">override</span>;</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment"></span> </div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="comment"> /// By default returns inputShapes if the number of inputs are equal to number of outputs,</span></div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment"> /// otherwise infers the output shapes from given input shapes and layer properties.</span></div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="comment"> /// @param [in] inputShapes The input shapes layer has.</span></div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="comment"> /// @return A vector to the inferred output shape.</span></div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="comment"></span> std::vector<TensorShape> <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes) <span class="keyword">const override</span>;</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  </div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>& strategy) <span class="keyword">const override</span>;</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> <span class="keyword">protected</span>:<span class="comment"></span></div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment"> /// Constructor to create a QLstmLayer.</span></div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="comment"> /// @param [in] name Optional name for the layer.</span></div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a3b6119b6dde56939098f0d36e4e6b633">QLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.html">QLstmDescriptor</a>& param, <span class="keyword">const</span> <span class="keywordtype">char</span>* name);</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="comment"></span> </div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="comment"> /// Default destructor</span></div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_q_lstm_layer.html#af4ba74ad2536984a4327a7b3636b5598">~QLstmLayer</a>() = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="comment"></span> </div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="comment"> /// Retrieve the handles to the constant values stored by the layer.</span></div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="comment"> /// @return A vector of the constant tensors stored by this layer.</span></div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">Layer::ImmutableConstantTensors</a> <a class="code" href="classarmnn_1_1_q_lstm_layer.html#a29cc31172f6ab16ac931f90c667c092d">GetConstantTensorsByRef</a>() <span class="keyword">const override</span>;</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> } <span class="comment">// namespace armnn</span></div>
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<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_af53c478cc73821d29a83100b69de84c3"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#af53c478cc73821d29a83100b69de84c3">armnn::QLstmLayer::m_CifgParameters</a></div><div class="ttdeci">QLstmOptCifgParameters m_CifgParameters</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00084">QLstmLayer.hpp:84</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_peephole_parameters_html_a0ccce0cf0ae71e89b20dfa48645494c8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a0ccce0cf0ae71e89b20dfa48645494c8">armnn::QLstmOptPeepholeParameters::m_CellToForgetWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_CellToForgetWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00051">QLstmLayer.hpp:51</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html">armnn::QLstmDescriptor</a></div><div class="ttdoc">A QLstmDescriptor for the QLstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01380">Descriptors.hpp:1380</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_af7f44bcc5b6cf669268a9ac0ff1446be"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#af7f44bcc5b6cf669268a9ac0ff1446be">armnn::QLstmBasicParameters::m_ForgetGateBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_ForgetGateBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [num_units] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00031">QLstmLayer.hpp:31</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html">armnn::QLstmLayer</a></div><div class="ttdoc">This layer represents a QLstm operation.</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00079">QLstmLayer.hpp:79</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_layer_norm_parameters_html_af03d5f9789e673011a9fa19a699530db"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#af03d5f9789e673011a9fa19a699530db">armnn::QLstmOptLayerNormParameters::m_ForgetLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_ForgetLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00071">QLstmLayer.hpp:71</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_a3b6119b6dde56939098f0d36e4e6b633"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#a3b6119b6dde56939098f0d36e4e6b633">armnn::QLstmLayer::QLstmLayer</a></div><div class="ttdeci">QLstmLayer(const QLstmDescriptor &param, const char *name)</div><div class="ttdoc">Constructor to create a QLstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8cpp_source.html#l00017">QLstmLayer.cpp:17</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_ac1c16df49489aead2241b460f103f454"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#ac1c16df49489aead2241b460f103f454">armnn::QLstmLayer::Clone</a></div><div class="ttdeci">QLstmLayer * Clone(Graph &graph) const override</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8cpp_source.html#l00081">QLstmLayer.cpp:81</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_peephole_parameters_html_aeff3e3b8715c568fdff74a25ec40facb"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#aeff3e3b8715c568fdff74a25ec40facb">armnn::QLstmOptPeepholeParameters::m_CellToOutputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_CellToOutputWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00053">QLstmLayer.hpp:53</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_projection_parameters_html"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_projection_parameters.html">armnn::QLstmOptProjectionParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00038">QLstmLayer.hpp:38</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_layer_norm_parameters_html_a9c441c2706cbd0e925c02cdcb8916669"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a9c441c2706cbd0e925c02cdcb8916669">armnn::QLstmOptLayerNormParameters::m_OutputLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_OutputLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00075">QLstmLayer.hpp:75</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_layer_norm_parameters_html"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html">armnn::QLstmOptLayerNormParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00066">QLstmLayer.hpp:66</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_strategy_html"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.html#l00016">IStrategy.hpp:16</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html">armnn::LayerWithParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00014">LayerWithParameters.hpp:14</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_projection_parameters_html_aa8f5cf5d5130fefb77d2327dca341591"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa8f5cf5d5130fefb77d2327dca341591">armnn::QLstmOptProjectionParameters::m_ProjectionWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_ProjectionWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00041">QLstmLayer.hpp:41</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_layer_norm_parameters_html_a1f9668b1a4c275966aadeec9a4c11347"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a1f9668b1a4c275966aadeec9a4c11347">armnn::QLstmOptLayerNormParameters::m_CellLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_CellLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00073">QLstmLayer.hpp:73</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_aba5c20cadbebd2e7ba67e20a47e31472"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">armnn::IConnectableLayer::ImmutableConstantTensors</a></div><div class="ttdeci">std::vector< std::reference_wrapper< const std::shared_ptr< ConstTensorHandle > >> ImmutableConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00141">INetwork.hpp:141</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html">armnn::QLstmBasicParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00014">QLstmLayer.hpp:14</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_peephole_parameters_html_a9eb0e6bb91acbf59117a1460ce1dfd29"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html#a9eb0e6bb91acbf59117a1460ce1dfd29">armnn::QLstmOptPeepholeParameters::m_CellToInputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_CellToInputWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00049">QLstmLayer.hpp:49</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::QLstmLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override</div><div class="ttdoc">Makes a workload for the QLstm type.</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8cpp_source.html#l00022">QLstmLayer.cpp:22</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00022">WorkloadFactory.hpp:22</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_cifg_parameters_html_addfb6b081817510deb924c8fb5ce216c"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#addfb6b081817510deb924c8fb5ce216c">armnn::QLstmOptCifgParameters::m_RecurrentToInputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_RecurrentToInputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00061">QLstmLayer.hpp:61</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_af4ba74ad2536984a4327a7b3636b5598"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#af4ba74ad2536984a4327a7b3636b5598">armnn::QLstmLayer::~QLstmLayer</a></div><div class="ttdeci">~QLstmLayer()=default</div><div class="ttdoc">Default destructor.</div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_cifg_parameters_html_a85684ffb2d12d0d04fbd188591488a2c"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a85684ffb2d12d0d04fbd188591488a2c">armnn::QLstmOptCifgParameters::m_InputGateBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputGateBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00063">QLstmLayer.hpp:63</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_layer_norm_parameters_html_a47786528c742271a3937535426934219"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_layer_norm_parameters.html#a47786528c742271a3937535426934219">armnn::QLstmOptLayerNormParameters::m_InputLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units] (QSymmS16).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00069">QLstmLayer.hpp:69</a></div></div>
<div class="ttc" id="a_layer_with_parameters_8hpp_html"><div class="ttname"><a href="_layer_with_parameters_8hpp.html">LayerWithParameters.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::QLstmLayer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const override</div><div class="ttdoc">Apply a visitor to this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8cpp_source.html#l00307">QLstmLayer.cpp:307</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_a29cc31172f6ab16ac931f90c667c092d"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#a29cc31172f6ab16ac931f90c667c092d">armnn::QLstmLayer::GetConstantTensorsByRef</a></div><div class="ttdeci">Layer::ImmutableConstantTensors GetConstantTensorsByRef() const override</div><div class="ttdoc">Retrieve the handles to the constant values stored by the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8cpp_source.html#l00272">QLstmLayer.cpp:272</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_ab43a687e3d705b3b0414d6fedb869e9d"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#ab43a687e3d705b3b0414d6fedb869e9d">armnn::QLstmLayer::m_LayerNormParameters</a></div><div class="ttdeci">QLstmOptLayerNormParameters m_LayerNormParameters</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00087">QLstmLayer.hpp:87</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_addad136e04521a1d31cbebf7280c312e"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#addad136e04521a1d31cbebf7280c312e">armnn::QLstmBasicParameters::m_RecurrentToOutputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_RecurrentToOutputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [num_units, outputSize] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00028">QLstmLayer.hpp:28</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_cifg_parameters_html"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html">armnn::QLstmOptCifgParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00056">QLstmLayer.hpp:56</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_a4855b2b34766d4972a999e324ab88ee5"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#a4855b2b34766d4972a999e324ab88ee5">armnn::QLstmLayer::m_PeepholeParameters</a></div><div class="ttdeci">QLstmOptPeepholeParameters m_PeepholeParameters</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00086">QLstmLayer.hpp:86</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_a21a90800797f1e122bc44d7022001558"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#a21a90800797f1e122bc44d7022001558">armnn::QLstmBasicParameters::m_CellBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_CellBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [num_units] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00033">QLstmLayer.hpp:33</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_a950c538e326db48f4c26a354c2b982e3"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#a950c538e326db48f4c26a354c2b982e3">armnn::QLstmBasicParameters::m_OutputGateBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_OutputGateBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [num_units] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00035">QLstmLayer.hpp:35</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_a608ed1a3d4135921ce33a286a87a072b"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#a608ed1a3d4135921ce33a286a87a072b">armnn::QLstmBasicParameters::m_RecurrentToCellWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_RecurrentToCellWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [num_units, outputSize] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00026">QLstmLayer.hpp:26</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_cifg_parameters_html_a281954ff495d27f7a29e42a98768c670"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_cifg_parameters.html#a281954ff495d27f7a29e42a98768c670">armnn::QLstmOptCifgParameters::m_InputToInputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToInputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00059">QLstmLayer.hpp:59</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#a8c8f543d7e9729362c266d12ec169966">armnn::QLstmLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdoc">Check if the input tensor shape(s) will lead to a valid configuration of QLstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8cpp_source.html#l00170">QLstmLayer.cpp:170</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="aclassarmnn_1_1_q_lstm_layer_html_a3cbbd914f0d16664e785e30ffbe0dbf3"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#a3cbbd914f0d16664e785e30ffbe0dbf3">armnn::QLstmLayer::m_ProjectionParameters</a></div><div class="ttdeci">QLstmOptProjectionParameters m_ProjectionParameters</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00085">QLstmLayer.hpp:85</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#a65ca562c882ad619684445a1402f415a">armnn::QLstmLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdoc">By default returns inputShapes if the number of inputs are equal to number of outputs,...</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8cpp_source.html#l00153">QLstmLayer.cpp:153</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_a1dd41cd674924907643cb088070a65d3"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#a1dd41cd674924907643cb088070a65d3">armnn::QLstmBasicParameters::m_RecurrentToForgetWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_RecurrentToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [num_units, outputSize] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00024">QLstmLayer.hpp:24</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_projection_parameters_html_aa840abfe1cb869bce3d6daaebd2e86a7"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_projection_parameters.html#aa840abfe1cb869bce3d6daaebd2e86a7">armnn::QLstmOptProjectionParameters::m_ProjectionBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_ProjectionBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [output_size] (int32).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00043">QLstmLayer.hpp:43</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_aada2b9060461ecf785d483eee0dc071a"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">armnn::QLstmLayer::m_BasicParameters</a></div><div class="ttdeci">QLstmBasicParameters m_BasicParameters</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00083">QLstmLayer.hpp:83</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_opt_peephole_parameters_html"><div class="ttname"><a href="structarmnn_1_1_q_lstm_opt_peephole_parameters.html">armnn::QLstmOptPeepholeParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00046">QLstmLayer.hpp:46</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_a3d4f6f42e10ba6f808a5244bb7853e7e"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#a3d4f6f42e10ba6f808a5244bb7853e7e">armnn::QLstmBasicParameters::m_InputToOutputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToOutputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00021">QLstmLayer.hpp:21</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00030">Graph.hpp:30</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_aafad117fb253359c1d472c9faefe49ef"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">armnn::QLstmBasicParameters::m_InputToForgetWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00017">QLstmLayer.hpp:17</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_ad3f42762262330534a4be0dde29a1318"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#ad3f42762262330534a4be0dde29a1318">armnn::QLstmBasicParameters::m_InputToCellWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToCellWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00019">QLstmLayer.hpp:19</a></div></div>
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