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| <a href="_lstm_layer_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. 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.xhtml">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.xhtml">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>ScopedCpuTensorHandle;</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_lstm_opt_layer_norm_parameters.xhtml"> 14</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml">LstmOptLayerNormParameters</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 1D weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a706418b4d19614be07f2eca8230bfde0"> 17</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a706418b4d19614be07f2eca8230bfde0">m_InputLayerNormWeights</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 1D weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a559113765ea5e2ddbd9e9e5e2869a103"> 19</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a559113765ea5e2ddbd9e9e5e2869a103">m_ForgetLayerNormWeights</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 1D weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a3cab71ebbe91e75be538e5670a40fec5"> 21</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a3cab71ebbe91e75be538e5670a40fec5">m_CellLayerNormWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a69fdb952b874669cbb2a281815a20be2"> 23</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a69fdb952b874669cbb2a281815a20be2">m_OutputLayerNormWeights</a>;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> };</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml"> 26</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml">LstmOptCifgParameters</a></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> {<span class="comment"></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].</span></div><div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a4d731c5e73638c7cf7e63f65e9f8b550"> 29</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a4d731c5e73638c7cf7e63f65e9f8b550">m_InputToInputWeights</a>;<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 2D weights tensor with dimensions [input_size, num_units].</span></div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a6e8971757790a032e5936da7847ba14b"> 31</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a6e8971757790a032e5936da7847ba14b">m_RecurrentToInputWeights</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 weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a658f4245732f95c9fe756a934d370ca8"> 33</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a658f4245732f95c9fe756a934d370ca8">m_CellToInputWeights</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 weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a9945bc99f8a7400c0724117e29cb3abb"> 35</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a9945bc99f8a7400c0724117e29cb3abb">m_InputGateBias</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_lstm_opt_projection_parameters.xhtml"> 38</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml">LstmOptProjectionParameters</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].</span></div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml#a3ec2885c48ce888516e27c8b75a8cb83"> 41</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml#a3ec2885c48ce888516e27c8b75a8cb83">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].</span></div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml#aa9f2880e4e2a1eb731f61c1e0941c6a7"> 43</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml#aa9f2880e4e2a1eb731f61c1e0941c6a7">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_lstm_opt_peephole_parameters.xhtml"> 46</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml">LstmOptPeepholeParameters</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].</span></div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml#a5d0ebbbb11b727a67877df40b59a628c"> 49</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml#a5d0ebbbb11b727a67877df40b59a628c">m_CellToForgetWeights</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].</span></div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml#a310e133b0b51b93a74b83008893792e9"> 51</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml#a310e133b0b51b93a74b83008893792e9">m_CellToOutputWeights</a>;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> };</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml"> 54</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml">LstmBasicParameters</a></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> {<span class="comment"></span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].</span></div><div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a5a0d8af26a6aad1e5be521ea7dc550eb"> 57</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a5a0d8af26a6aad1e5be521ea7dc550eb">m_InputToForgetWeights</a>;<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].</span></div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a14ab2bc78421c417c4f97a65b0bd78f9"> 59</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a14ab2bc78421c417c4f97a65b0bd78f9">m_InputToCellWeights</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].</span></div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#ae8d897b8d282f25a6eb784c4aaa98df6"> 61</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#ae8d897b8d282f25a6eb784c4aaa98df6">m_InputToOutputWeights</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 2D weights tensor with dimensions [output_size, num_units].</span></div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a3d5f129421bbe6479a66d4ed1356bf68"> 63</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a3d5f129421bbe6479a66d4ed1356bf68">m_RecurrentToForgetWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].</span></div><div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a6e8c3db3c5474f0760553ff93fbc39e6"> 65</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a6e8c3db3c5474f0760553ff93fbc39e6">m_RecurrentToCellWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].</span></div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a91dda74af4085ae43913746ad817795a"> 67</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a91dda74af4085ae43913746ad817795a">m_RecurrentToOutputWeights</a>;<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].</span></div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a0e0e17d5b494993407cb75d614455ddd"> 69</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a0e0e17d5b494993407cb75d614455ddd">m_ForgetGateBias</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].</span></div><div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a51255889cbc063130a3d691c1781c5d3"> 71</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a51255889cbc063130a3d691c1781c5d3">m_CellBias</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].</span></div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#aacb55e0992b6781a7bd3225ab6e6bb2f"> 73</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#aacb55e0992b6781a7bd3225ab6e6bb2f">m_OutputGateBias</a>;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> };</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment"></span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment">/// This layer represents a LSTM operation.</span></div><div class="line"><a name="l00077"></a><span class="lineno"><a class="line" href="classarmnn_1_1_lstm_layer.xhtml"> 77</a></span> <span class="comment"></span><span class="keyword">class </span><a class="code" href="classarmnn_1_1_lstm_layer.xhtml">LstmLayer</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml">LayerWithParameters</a><LstmDescriptor></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classarmnn_1_1_lstm_layer.xhtml#a8838b317568861294a9df608221f185e"> 81</a></span>  <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml">LstmBasicParameters</a> <a class="code" href="classarmnn_1_1_lstm_layer.xhtml#a8838b317568861294a9df608221f185e">m_BasicParameters</a>;</div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="classarmnn_1_1_lstm_layer.xhtml#a0e940dfa428f4eb429f8bc0d138b20af"> 82</a></span>  <a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml">LstmOptCifgParameters</a> <a class="code" href="classarmnn_1_1_lstm_layer.xhtml#a0e940dfa428f4eb429f8bc0d138b20af">m_CifgParameters</a>;</div><div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="classarmnn_1_1_lstm_layer.xhtml#a3d3e6d0c3e6e570d9f831489c3bd14ce"> 83</a></span>  <a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml">LstmOptProjectionParameters</a> <a class="code" href="classarmnn_1_1_lstm_layer.xhtml#a3d3e6d0c3e6e570d9f831489c3bd14ce">m_ProjectionParameters</a>;</div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classarmnn_1_1_lstm_layer.xhtml#a4efa0f4d46817ab94e36c8507c26f276"> 84</a></span>  <a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml">LstmOptPeepholeParameters</a> <a class="code" href="classarmnn_1_1_lstm_layer.xhtml#a4efa0f4d46817ab94e36c8507c26f276">m_PeepholeParameters</a>;</div><div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="classarmnn_1_1_lstm_layer.xhtml#a46864a690d016b7e00eb51a5bfe8e966"> 85</a></span>  <a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml">LstmOptLayerNormParameters</a> <a class="code" href="classarmnn_1_1_lstm_layer.xhtml#a46864a690d016b7e00eb51a5bfe8e966">m_LayerNormParameters</a>;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment"></span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="comment"> /// Makes a workload for the LSTM type.</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="comment"> /// @param [in] graph The graph where this layer can be found.</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="comment"> /// @param [in] factory The workload factory which will create the workload.</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment"> /// @return A pointer to the created workload, or nullptr if not created.</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="comment"></span> <span class="keyword">virtual</span> std::unique_ptr<IWorkload> <a class="code" href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a>& factory) <span class="keyword">const override</span>;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="comment"></span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment"> /// Creates a dynamically-allocated copy of this layer.</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment"> /// @param [in] graph The graph into which this layer is being cloned.</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_lstm_layer.xhtml">LstmLayer</a>* Clone(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& graph) <span class="keyword">const override</span>;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment"></span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment"> /// Check if the input tensor shape(s)</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment"> /// will lead to a valid configuration of @ref LstmLayer.</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"></span> <span class="keywordtype">void</span> ValidateTensorShapesFromInputs() <span class="keyword">override</span>;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"></span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</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="l00102"></a><span class="lineno"> 102</span> <span class="comment"> /// otherwise infers the output shapes from given input shapes and layer properties.</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment"> /// @param [in] inputShapes The input shapes layer has.</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="comment"> /// @return A vector to the inferred output shape.</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment"></span> std::vector<TensorShape> InferOutputShapes(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes) <span class="keyword">const override</span>;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordtype">void</span> <a class="code" href="namespacearmnn_utils_1_1_sockets.xhtml#ae7d45c832d3f9a398a08352442d20417">Accept</a>(<a class="code" href="classarmnn_1_1_i_layer_visitor.xhtml">ILayerVisitor</a>& visitor) <span class="keyword">const override</span>;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="keyword">protected</span>:<span class="comment"></span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="comment"> /// Constructor to create a LstmLayer.</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="comment"> /// @param [in] param LstmDescriptor to configure the lstm operation.</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="comment"> /// @param [in] name Optional name for the layer.</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_lstm_layer.xhtml">LstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a>& param, <span class="keyword">const</span> <span class="keywordtype">char</span>* name);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="comment"></span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="comment"> /// Default destructor</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="comment"></span> ~<a class="code" href="classarmnn_1_1_lstm_layer.xhtml">LstmLayer</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="comment"></span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="comment"> /// Retrieve the handles to the constant values stored by the layer.</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="comment"> /// @return A vector of the constant tensors stored by this layer.</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">Layer::ConstantTensors</a> GetConstantTensorsByRef() <span class="keyword">override</span>;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> };</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> } <span class="comment">// namespace</span></div><div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_a0e0e17d5b494993407cb75d614455ddd"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#a0e0e17d5b494993407cb75d614455ddd">armnn::LstmBasicParameters::m_ForgetGateBias</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_ForgetGateBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00069">LstmLayer.hpp:69</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_ae8d897b8d282f25a6eb784c4aaa98df6"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#ae8d897b8d282f25a6eb784c4aaa98df6">armnn::LstmBasicParameters::m_InputToOutputWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_InputToOutputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00061">LstmLayer.hpp:61</a></div></div> |
| <div class="ttc" id="_layer_with_parameters_8hpp_xhtml"><div class="ttname"><a href="_layer_with_parameters_8hpp.xhtml">LayerWithParameters.hpp</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_a6e8c3db3c5474f0760553ff93fbc39e6"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#a6e8c3db3c5474f0760553ff93fbc39e6">armnn::LstmBasicParameters::m_RecurrentToCellWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_RecurrentToCellWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00065">LstmLayer.hpp:65</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_lstm_layer_xhtml_a8838b317568861294a9df608221f185e"><div class="ttname"><a href="classarmnn_1_1_lstm_layer.xhtml#a8838b317568861294a9df608221f185e">armnn::LstmLayer::m_BasicParameters</a></div><div class="ttdeci">LstmBasicParameters m_BasicParameters</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00081">LstmLayer.hpp:81</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_opt_cifg_parameters_xhtml_a4d731c5e73638c7cf7e63f65e9f8b550"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a4d731c5e73638c7cf7e63f65e9f8b550">armnn::LstmOptCifgParameters::m_InputToInputWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_InputToInputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00029">LstmLayer.hpp:29</a></div></div> |
| <div class="ttc" id="_elementwise_test_impl_8hpp_xhtml_ab6921db5d86507f5b126af1cc516adb9"><div class="ttname"><a href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a></div><div class="ttdeci">std::unique_ptr< armnn::IWorkload > CreateWorkload(const armnn::IWorkloadFactory &workloadFactory, const armnn::WorkloadInfo &info, const DescriptorType &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_test_impl_8hpp_source.xhtml#l00027">ElementwiseTestImpl.hpp:27</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_opt_cifg_parameters_xhtml_a658f4245732f95c9fe756a934d370ca8"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a658f4245732f95c9fe756a934d370ca8">armnn::LstmOptCifgParameters::m_CellToInputWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_CellToInputWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00033">LstmLayer.hpp:33</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00021">WorkloadFactory.hpp:21</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_opt_layer_norm_parameters_xhtml_a3cab71ebbe91e75be538e5670a40fec5"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a3cab71ebbe91e75be538e5670a40fec5">armnn::LstmOptLayerNormParameters::m_CellLayerNormWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_CellLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00021">LstmLayer.hpp:21</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_opt_layer_norm_parameters_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml">armnn::LstmOptLayerNormParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00014">LstmLayer.hpp:14</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_a3d5f129421bbe6479a66d4ed1356bf68"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#a3d5f129421bbe6479a66d4ed1356bf68">armnn::LstmBasicParameters::m_RecurrentToForgetWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_RecurrentToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00063">LstmLayer.hpp:63</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_aacb55e0992b6781a7bd3225ab6e6bb2f"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#aacb55e0992b6781a7bd3225ab6e6bb2f">armnn::LstmBasicParameters::m_OutputGateBias</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_OutputGateBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00073">LstmLayer.hpp:73</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_opt_cifg_parameters_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml">armnn::LstmOptCifgParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00026">LstmLayer.hpp:26</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_opt_layer_norm_parameters_xhtml_a706418b4d19614be07f2eca8230bfde0"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a706418b4d19614be07f2eca8230bfde0">armnn::LstmOptLayerNormParameters::m_InputLayerNormWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_InputLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00017">LstmLayer.hpp:17</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_lstm_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_lstm_layer.xhtml">armnn::LstmLayer</a></div><div class="ttdoc">This layer represents a LSTM operation. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00077">LstmLayer.hpp:77</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_a51255889cbc063130a3d691c1781c5d3"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#a51255889cbc063130a3d691c1781c5d3">armnn::LstmBasicParameters::m_CellBias</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_CellBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00071">LstmLayer.hpp:71</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_opt_peephole_parameters_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml">armnn::LstmOptPeepholeParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00046">LstmLayer.hpp:46</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_opt_peephole_parameters_xhtml_a5d0ebbbb11b727a67877df40b59a628c"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml#a5d0ebbbb11b727a67877df40b59a628c">armnn::LstmOptPeepholeParameters::m_CellToForgetWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_CellToForgetWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00049">LstmLayer.hpp:49</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_opt_layer_norm_parameters_xhtml_a69fdb952b874669cbb2a281815a20be2"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a69fdb952b874669cbb2a281815a20be2">armnn::LstmOptLayerNormParameters::m_OutputLayerNormWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_OutputLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00023">LstmLayer.hpp:23</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00837">Descriptors.hpp:837</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_lstm_layer_xhtml_a46864a690d016b7e00eb51a5bfe8e966"><div class="ttname"><a href="classarmnn_1_1_lstm_layer.xhtml#a46864a690d016b7e00eb51a5bfe8e966">armnn::LstmLayer::m_LayerNormParameters</a></div><div class="ttdeci">LstmOptLayerNormParameters m_LayerNormParameters</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00085">LstmLayer.hpp:85</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_opt_cifg_parameters_xhtml_a6e8971757790a032e5936da7847ba14b"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a6e8971757790a032e5936da7847ba14b">armnn::LstmOptCifgParameters::m_RecurrentToInputWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_RecurrentToInputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00031">LstmLayer.hpp:31</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00029">Graph.hpp:29</a></div></div> |
| <div class="ttc" id="namespacearmnn_utils_1_1_sockets_xhtml_ae7d45c832d3f9a398a08352442d20417"><div class="ttname"><a href="namespacearmnn_utils_1_1_sockets.xhtml#ae7d45c832d3f9a398a08352442d20417">armnnUtils::Sockets::Accept</a></div><div class="ttdeci">armnnUtils::Sockets::Socket Accept(Socket s, sockaddr *addr, socklen_t *addrlen, int flags)</div><div class="ttdef"><b>Definition:</b> <a href="_network_sockets_8cpp_source.xhtml#l00091">NetworkSockets.cpp:91</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_a91dda74af4085ae43913746ad817795a"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#a91dda74af4085ae43913746ad817795a">armnn::LstmBasicParameters::m_RecurrentToOutputWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_RecurrentToOutputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00067">LstmLayer.hpp:67</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_lstm_layer_xhtml_a4efa0f4d46817ab94e36c8507c26f276"><div class="ttname"><a href="classarmnn_1_1_lstm_layer.xhtml#a4efa0f4d46817ab94e36c8507c26f276">armnn::LstmLayer::m_PeepholeParameters</a></div><div class="ttdeci">LstmOptPeepholeParameters m_PeepholeParameters</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00084">LstmLayer.hpp:84</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_lstm_layer_xhtml_a3d3e6d0c3e6e570d9f831489c3bd14ce"><div class="ttname"><a href="classarmnn_1_1_lstm_layer.xhtml#a3d3e6d0c3e6e570d9f831489c3bd14ce">armnn::LstmLayer::m_ProjectionParameters</a></div><div class="ttdeci">LstmOptProjectionParameters m_ProjectionParameters</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00083">LstmLayer.hpp:83</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_opt_projection_parameters_xhtml_aa9f2880e4e2a1eb731f61c1e0941c6a7"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml#aa9f2880e4e2a1eb731f61c1e0941c6a7">armnn::LstmOptProjectionParameters::m_ProjectionBias</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_ProjectionBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [output_size]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00043">LstmLayer.hpp:43</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_a14ab2bc78421c417c4f97a65b0bd78f9"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#a14ab2bc78421c417c4f97a65b0bd78f9">armnn::LstmBasicParameters::m_InputToCellWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_InputToCellWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00059">LstmLayer.hpp:59</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_i_layer_visitor_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_layer_visitor.xhtml">armnn::ILayerVisitor</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_visitor_8hpp_source.xhtml#l00016">ILayerVisitor.hpp:16</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_opt_peephole_parameters_xhtml_a310e133b0b51b93a74b83008893792e9"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml#a310e133b0b51b93a74b83008893792e9">armnn::LstmOptPeepholeParameters::m_CellToOutputWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_CellToOutputWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00051">LstmLayer.hpp:51</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_opt_projection_parameters_xhtml_a3ec2885c48ce888516e27c8b75a8cb83"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml#a3ec2885c48ce888516e27c8b75a8cb83">armnn::LstmOptProjectionParameters::m_ProjectionWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_ProjectionWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00041">LstmLayer.hpp:41</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_opt_layer_norm_parameters_xhtml_a559113765ea5e2ddbd9e9e5e2869a103"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a559113765ea5e2ddbd9e9e5e2869a103">armnn::LstmOptLayerNormParameters::m_ForgetLayerNormWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_ForgetLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00019">LstmLayer.hpp:19</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_lstm_layer_xhtml_a0e940dfa428f4eb429f8bc0d138b20af"><div class="ttname"><a href="classarmnn_1_1_lstm_layer.xhtml#a0e940dfa428f4eb429f8bc0d138b20af">armnn::LstmLayer::m_CifgParameters</a></div><div class="ttdeci">LstmOptCifgParameters m_CifgParameters</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00082">LstmLayer.hpp:82</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_layer_with_parameters_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml">armnn::LayerWithParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00013">LayerWithParameters.hpp:13</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_layer_xhtml_a585d59ec610af46a76487fd6c1c55ac1"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">armnn::Layer::ConstantTensors</a></div><div class="ttdeci">std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >> ConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00363">Layer.hpp:363</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_a5a0d8af26a6aad1e5be521ea7dc550eb"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#a5a0d8af26a6aad1e5be521ea7dc550eb">armnn::LstmBasicParameters::m_InputToForgetWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_InputToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00057">LstmLayer.hpp:57</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_opt_cifg_parameters_xhtml_a9945bc99f8a7400c0724117e29cb3abb"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a9945bc99f8a7400c0724117e29cb3abb">armnn::LstmOptCifgParameters::m_InputGateBias</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_InputGateBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00035">LstmLayer.hpp:35</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml">armnn::LstmBasicParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00054">LstmLayer.hpp:54</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_lstm_opt_projection_parameters_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml">armnn::LstmOptProjectionParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00038">LstmLayer.hpp:38</a></div></div> |
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