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| <a href="_l_s_t_m_params_8h.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 (c) 2018-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></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"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#ifndef ARM_COMPUTE_LSTMPARAMS_H</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define ARM_COMPUTE_LSTMPARAMS_H</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_i_pyramid_8h.xhtml">arm_compute/core/IPyramid.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_pyramid_info_8h.xhtml">arm_compute/core/PyramidInfo.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <cstddef></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <memory></span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</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> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml"> 38</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml">LSTMParams</a></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment"> /** Constructor */</span></div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#ada73ca6bbffdf20b246b101e1d8e2ab1"> 42</a></span>  <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#ada73ca6bbffdf20b246b101e1d8e2ab1">LSTMParams</a>()</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  : _input_to_input_weights(nullptr), _recurrent_to_input_weights(nullptr), _cell_to_input_weights(nullptr), _input_gate_bias(nullptr), _cell_to_forget_weights(nullptr),</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  _cell_to_output_weights(nullptr), _projection_weights(nullptr), _projection_bias(nullptr), _input_layer_norm_weights(nullptr), _forget_layer_norm_weights(nullptr), _cell_layer_norm_weights(nullptr),</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  _output_layer_norm_weights(nullptr), _has_peephole_opt(false), _has_projection(false), _has_cifg_opt(true), _use_layer_norm(false)</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</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"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#ada73ca6bbffdf20b246b101e1d8e2ab1">LSTMParams</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml">LSTMParams</a> &) = <span class="keyword">delete</span>;<span class="comment"></span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml">LSTMParams</a> &<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#af9f07d002a2338c5bc137b012fe546c2">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml">LSTMParams</a> &) = <span class="keyword">delete</span>;<span class="comment"></span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> /** Default destructor */</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a3fde8c2474695d765548098d5ba0cd28">~LSTMParams</a>() = <span class="keywordflow">default</span>;<span class="comment"></span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> /** Set CIFG tensor parameters.</span></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"> * @param[in] input_to_input_weights 2D weights tensor with dimensions [input_size, num_units]. Data types supported: F16/F32.</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> * @param[in] recurrent_to_input_weights 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input_to_input_weights.</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> * @param[in] cell_to_input_weights 1D weights tensor with dimensions [num_units]. Can be nullptr. Data type supported: Same as @p input_to_input_weights.</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"> * @param[in] input_gate_bias 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input_to_input_weights</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> *</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment"> * @return Reference to this LSTMParams object</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"> */</span></div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#adac8095c0cd29d443206dfcaf67f3607"> 63</a></span>  <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml">LSTMParams</a> &<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#adac8095c0cd29d443206dfcaf67f3607">set_cifg_params</a>(<span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#afa54d4a35e697cb14a38359616709681">input_to_input_weights</a>, <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a35e4b6311397e1f9532fb37560aa9996">recurrent_to_input_weights</a>, <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#aafb05bcc27f0879701152cd664c632ce">cell_to_input_weights</a>, <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a29a7a1636c6a8fd9e423d55c36e991a0">input_gate_bias</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>  _input_to_input_weights = <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#afa54d4a35e697cb14a38359616709681">input_to_input_weights</a>;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  _recurrent_to_input_weights = <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a35e4b6311397e1f9532fb37560aa9996">recurrent_to_input_weights</a>;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  _cell_to_input_weights = <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#aafb05bcc27f0879701152cd664c632ce">cell_to_input_weights</a>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  _input_gate_bias = <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a29a7a1636c6a8fd9e423d55c36e991a0">input_gate_bias</a>;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  _has_cifg_opt = <span class="keyword">false</span>;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  }<span class="comment"></span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment"> /** Set projection tensor parameters.</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="comment"> *</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="comment"> * @param[in] projection_weights 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Data types supported: F16/F32.</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment"> * @param[in] projection_bias 1D weights tensor with dimensions [output_size]. Data type supported: Same as @p projection_weights.</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment"> *</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"> * @return Reference to this LSTMParams object</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"> */</span></div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#aea777d30779bab2d14630ea7e8516615"> 79</a></span>  <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml">LSTMParams</a> &<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#aea777d30779bab2d14630ea7e8516615">set_projection_params</a>(<span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#ab1b3d5364f11bca8cacef026c8038dba">projection_weights</a>, <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#ad676992a90d193409fa6a28a001af6c8">projection_bias</a>)</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  _projection_weights = <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#ab1b3d5364f11bca8cacef026c8038dba">projection_weights</a>;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  _projection_bias = <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#ad676992a90d193409fa6a28a001af6c8">projection_bias</a>;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  _has_projection = <span class="keyword">true</span>;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }<span class="comment"></span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment"> /** Set peephole tensor parameters.</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="comment"> *</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="comment"> * @param[in] cell_to_forget_weights 1D weights tensor with dimensions [num_units]. Data type supported: Data types supported: F16/F32.</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="comment"> * @param[in] cell_to_output_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p cell_to_input_weights.</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment"> *</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="comment"> * @return Reference to this LSTMParams object</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"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a28c80440058d5c9b0bc1e1a4622c734a"> 93</a></span>  <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml">LSTMParams</a> &<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a28c80440058d5c9b0bc1e1a4622c734a">set_peephole_params</a>(<span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a477486a9c5189cff8af1cdd9d7e8d573">cell_to_forget_weights</a>, <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a934af5defc72f38841ce8955e2151473">cell_to_output_weights</a>)</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  _cell_to_forget_weights = <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a477486a9c5189cff8af1cdd9d7e8d573">cell_to_forget_weights</a>;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  _cell_to_output_weights = <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a934af5defc72f38841ce8955e2151473">cell_to_output_weights</a>;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  _has_peephole_opt = <span class="keyword">true</span>;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }<span class="comment"></span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"> /** Set layer normalization tensor parameters.</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment"> *</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment"> * @param[in] input_layer_norm_weights 1D weights tensor with dimensions [num_units]. Data type supported: Data types supported: F16/F32.</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment"> * @param[in] forget_layer_norm_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input_layer_norm_weights.</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="comment"> * @param[in] cell_layer_norm_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input_layer_norm_weights.</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment"> * @param[in] output_layer_norm_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input_layer_norm_weights.</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="comment"> *</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="comment"> * @return Reference to this LSTMParams object</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="comment"> */</span></div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#ae1c18c245c7b01f45fe8f911201c273a"> 109</a></span>  <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml">LSTMParams</a> &<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#ae1c18c245c7b01f45fe8f911201c273a">set_layer_normalization_params</a>(<span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a23361ca1393c0dc196fbf4e627e07119">input_layer_norm_weights</a>, <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a213908108c07594027bc2b829fe7ee4a">forget_layer_norm_weights</a>,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#abd478bedc7c65b72ead0d05cbd16d437">cell_layer_norm_weights</a>, <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a208874b46a667263fa309537c5355318">output_layer_norm_weights</a>)</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>  _input_layer_norm_weights = <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a23361ca1393c0dc196fbf4e627e07119">input_layer_norm_weights</a>;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  _forget_layer_norm_weights = <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a213908108c07594027bc2b829fe7ee4a">forget_layer_norm_weights</a>;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  _cell_layer_norm_weights = <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#abd478bedc7c65b72ead0d05cbd16d437">cell_layer_norm_weights</a>;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  _output_layer_norm_weights = <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a208874b46a667263fa309537c5355318">output_layer_norm_weights</a>;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  _use_layer_norm = <span class="keyword">true</span>;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#afa54d4a35e697cb14a38359616709681"> 120</a></span>  <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#afa54d4a35e697cb14a38359616709681">input_to_input_weights</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordflow">return</span> _input_to_input_weights;</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"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a35e4b6311397e1f9532fb37560aa9996"> 125</a></span>  <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a35e4b6311397e1f9532fb37560aa9996">recurrent_to_input_weights</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">return</span> _recurrent_to_input_weights;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  }</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#aafb05bcc27f0879701152cd664c632ce"> 130</a></span>  <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#aafb05bcc27f0879701152cd664c632ce">cell_to_input_weights</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordflow">return</span> _cell_to_input_weights;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  }</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a29a7a1636c6a8fd9e423d55c36e991a0"> 135</a></span>  <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a29a7a1636c6a8fd9e423d55c36e991a0">input_gate_bias</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">return</span> _input_gate_bias;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  }</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a477486a9c5189cff8af1cdd9d7e8d573"> 140</a></span>  <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a477486a9c5189cff8af1cdd9d7e8d573">cell_to_forget_weights</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordflow">return</span> _cell_to_forget_weights;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  }</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a934af5defc72f38841ce8955e2151473"> 145</a></span>  <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a934af5defc72f38841ce8955e2151473">cell_to_output_weights</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordflow">return</span> _cell_to_output_weights;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  }</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00150"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#ab1b3d5364f11bca8cacef026c8038dba"> 150</a></span>  <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#ab1b3d5364f11bca8cacef026c8038dba">projection_weights</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">return</span> _projection_weights;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  }</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#ad676992a90d193409fa6a28a001af6c8"> 155</a></span>  <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#ad676992a90d193409fa6a28a001af6c8">projection_bias</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordflow">return</span> _projection_bias;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  }</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a23361ca1393c0dc196fbf4e627e07119"> 160</a></span>  <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a23361ca1393c0dc196fbf4e627e07119">input_layer_norm_weights</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">return</span> _input_layer_norm_weights;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  }</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div><div class="line"><a name="l00165"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a213908108c07594027bc2b829fe7ee4a"> 165</a></span>  <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a213908108c07594027bc2b829fe7ee4a">forget_layer_norm_weights</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">return</span> _forget_layer_norm_weights;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#abd478bedc7c65b72ead0d05cbd16d437"> 170</a></span>  <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#abd478bedc7c65b72ead0d05cbd16d437">cell_layer_norm_weights</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">return</span> _cell_layer_norm_weights;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  }</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00175"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a208874b46a667263fa309537c5355318"> 175</a></span>  <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a208874b46a667263fa309537c5355318">output_layer_norm_weights</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordflow">return</span> _output_layer_norm_weights;</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  }</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a23be92a19e0d7c174ed444e709518afd"> 180</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a23be92a19e0d7c174ed444e709518afd">has_peephole_opt</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">return</span> _has_peephole_opt;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  }</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a127009377712009a84cd0c48aa7e1edd"> 185</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a127009377712009a84cd0c48aa7e1edd">has_projection</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">return</span> _has_projection;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  }</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> </div><div class="line"><a name="l00190"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#aae040c52316d86a4df2c7cdf179049bf"> 190</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#aae040c52316d86a4df2c7cdf179049bf">has_cifg_opt</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">return</span> _has_cifg_opt;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  }</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div><div class="line"><a name="l00195"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a2d615f651270885a1b996046e9902a3c"> 195</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_l_s_t_m_params.xhtml#a2d615f651270885a1b996046e9902a3c">use_layer_norm</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">return</span> _use_layer_norm;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  }</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keyword">const</span> T *_input_to_input_weights;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keyword">const</span> T *_recurrent_to_input_weights;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keyword">const</span> T *_cell_to_input_weights;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keyword">const</span> T *_input_gate_bias;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keyword">const</span> T *_cell_to_forget_weights;</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">const</span> T *_cell_to_output_weights;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keyword">const</span> T *_projection_weights;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keyword">const</span> T *_projection_bias;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">const</span> T *_input_layer_norm_weights;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keyword">const</span> T *_forget_layer_norm_weights;</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">const</span> T *_cell_layer_norm_weights;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keyword">const</span> T *_output_layer_norm_weights;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordtype">bool</span> _has_peephole_opt;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordtype">bool</span> _has_projection;</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordtype">bool</span> _has_cifg_opt;</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordtype">bool</span> _use_layer_norm;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> };</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> }</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> <span class="preprocessor">#endif </span><span class="comment">/*ARM_COMPUTE_LSTMPARAMS_H */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_a3fde8c2474695d765548098d5ba0cd28"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#a3fde8c2474695d765548098d5ba0cd28">arm_compute::LSTMParams::~LSTMParams</a></div><div class="ttdeci">~LSTMParams()=default</div><div class="ttdoc">Default destructor.</div></div> |
| <div class="ttc" id="_pyramid_info_8h_xhtml"><div class="ttname"><a href="_pyramid_info_8h.xhtml">PyramidInfo.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_ab1b3d5364f11bca8cacef026c8038dba"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#ab1b3d5364f11bca8cacef026c8038dba">arm_compute::LSTMParams::projection_weights</a></div><div class="ttdeci">const T * projection_weights() const</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00150">LSTMParams.h:150</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_afa54d4a35e697cb14a38359616709681"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#afa54d4a35e697cb14a38359616709681">arm_compute::LSTMParams::input_to_input_weights</a></div><div class="ttdeci">const T * input_to_input_weights() const</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00120">LSTMParams.h:120</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_a2d615f651270885a1b996046e9902a3c"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#a2d615f651270885a1b996046e9902a3c">arm_compute::LSTMParams::use_layer_norm</a></div><div class="ttdeci">bool use_layer_norm() const</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00195">LSTMParams.h:195</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_ae1c18c245c7b01f45fe8f911201c273a"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#ae1c18c245c7b01f45fe8f911201c273a">arm_compute::LSTMParams::set_layer_normalization_params</a></div><div class="ttdeci">LSTMParams & set_layer_normalization_params(const T *input_layer_norm_weights, const T *forget_layer_norm_weights, const T *cell_layer_norm_weights, const T *output_layer_norm_weights)</div><div class="ttdoc">Set layer normalization tensor parameters.</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00109">LSTMParams.h:109</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_a23be92a19e0d7c174ed444e709518afd"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#a23be92a19e0d7c174ed444e709518afd">arm_compute::LSTMParams::has_peephole_opt</a></div><div class="ttdeci">bool has_peephole_opt() const</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00180">LSTMParams.h:180</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_aafb05bcc27f0879701152cd664c632ce"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#aafb05bcc27f0879701152cd664c632ce">arm_compute::LSTMParams::cell_to_input_weights</a></div><div class="ttdeci">const T * cell_to_input_weights() const</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00130">LSTMParams.h:130</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_a28c80440058d5c9b0bc1e1a4622c734a"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#a28c80440058d5c9b0bc1e1a4622c734a">arm_compute::LSTMParams::set_peephole_params</a></div><div class="ttdeci">LSTMParams & set_peephole_params(const T *cell_to_forget_weights, const T *cell_to_output_weights)</div><div class="ttdoc">Set peephole tensor parameters.</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00093">LSTMParams.h:93</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_aae040c52316d86a4df2c7cdf179049bf"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#aae040c52316d86a4df2c7cdf179049bf">arm_compute::LSTMParams::has_cifg_opt</a></div><div class="ttdeci">bool has_cifg_opt() const</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00190">LSTMParams.h:190</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_a934af5defc72f38841ce8955e2151473"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#a934af5defc72f38841ce8955e2151473">arm_compute::LSTMParams::cell_to_output_weights</a></div><div class="ttdeci">const T * cell_to_output_weights() const</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00145">LSTMParams.h:145</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2020 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_a35e4b6311397e1f9532fb37560aa9996"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#a35e4b6311397e1f9532fb37560aa9996">arm_compute::LSTMParams::recurrent_to_input_weights</a></div><div class="ttdeci">const T * recurrent_to_input_weights() const</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00125">LSTMParams.h:125</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_ad676992a90d193409fa6a28a001af6c8"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#ad676992a90d193409fa6a28a001af6c8">arm_compute::LSTMParams::projection_bias</a></div><div class="ttdeci">const T * projection_bias() const</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00155">LSTMParams.h:155</a></div></div> |
| <div class="ttc" id="_i_pyramid_8h_xhtml"><div class="ttname"><a href="_i_pyramid_8h.xhtml">IPyramid.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_a477486a9c5189cff8af1cdd9d7e8d573"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#a477486a9c5189cff8af1cdd9d7e8d573">arm_compute::LSTMParams::cell_to_forget_weights</a></div><div class="ttdeci">const T * cell_to_forget_weights() const</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00140">LSTMParams.h:140</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_abd478bedc7c65b72ead0d05cbd16d437"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#abd478bedc7c65b72ead0d05cbd16d437">arm_compute::LSTMParams::cell_layer_norm_weights</a></div><div class="ttdeci">const T * cell_layer_norm_weights() const</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00170">LSTMParams.h:170</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_a23361ca1393c0dc196fbf4e627e07119"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#a23361ca1393c0dc196fbf4e627e07119">arm_compute::LSTMParams::input_layer_norm_weights</a></div><div class="ttdeci">const T * input_layer_norm_weights() const</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00160">LSTMParams.h:160</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_ada73ca6bbffdf20b246b101e1d8e2ab1"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#ada73ca6bbffdf20b246b101e1d8e2ab1">arm_compute::LSTMParams::LSTMParams</a></div><div class="ttdeci">LSTMParams()</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00042">LSTMParams.h:42</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_aea777d30779bab2d14630ea7e8516615"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#aea777d30779bab2d14630ea7e8516615">arm_compute::LSTMParams::set_projection_params</a></div><div class="ttdeci">LSTMParams & set_projection_params(const T *projection_weights, const T *projection_bias)</div><div class="ttdoc">Set projection tensor parameters.</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00079">LSTMParams.h:79</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_adac8095c0cd29d443206dfcaf67f3607"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#adac8095c0cd29d443206dfcaf67f3607">arm_compute::LSTMParams::set_cifg_params</a></div><div class="ttdeci">LSTMParams & set_cifg_params(const T *input_to_input_weights, const T *recurrent_to_input_weights, const T *cell_to_input_weights, const T *input_gate_bias)</div><div class="ttdoc">Set CIFG tensor parameters.</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00063">LSTMParams.h:63</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_a127009377712009a84cd0c48aa7e1edd"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#a127009377712009a84cd0c48aa7e1edd">arm_compute::LSTMParams::has_projection</a></div><div class="ttdeci">bool has_projection() const</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00185">LSTMParams.h:185</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_a208874b46a667263fa309537c5355318"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#a208874b46a667263fa309537c5355318">arm_compute::LSTMParams::output_layer_norm_weights</a></div><div class="ttdeci">const T * output_layer_norm_weights() const</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00175">LSTMParams.h:175</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_a29a7a1636c6a8fd9e423d55c36e991a0"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#a29a7a1636c6a8fd9e423d55c36e991a0">arm_compute::LSTMParams::input_gate_bias</a></div><div class="ttdeci">const T * input_gate_bias() const</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00135">LSTMParams.h:135</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_af9f07d002a2338c5bc137b012fe546c2"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#af9f07d002a2338c5bc137b012fe546c2">arm_compute::LSTMParams::operator=</a></div><div class="ttdeci">LSTMParams & operator=(const LSTMParams &)=delete</div><div class="ttdoc">Prevent instances of this class from being copied (As this class contains pointers)</div></div> |
| <div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div> |
| <div class="ttc" id="runtime_2_tensor_8h_xhtml"><div class="ttname"><a href="runtime_2_tensor_8h.xhtml">Tensor.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml">arm_compute::LSTMParams</a></div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00038">LSTMParams.h:38</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_l_s_t_m_params_xhtml_a213908108c07594027bc2b829fe7ee4a"><div class="ttname"><a href="classarm__compute_1_1_l_s_t_m_params.xhtml#a213908108c07594027bc2b829fe7ee4a">arm_compute::LSTMParams::forget_layer_norm_weights</a></div><div class="ttdeci">const T * forget_layer_norm_weights() const</div><div class="ttdef"><b>Definition:</b> <a href="_l_s_t_m_params_8h_source.xhtml#l00165">LSTMParams.h:165</a></div></div> |
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