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<div class="title">CLLSTMLayerQuantized.h</div> </div>
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<a href="_c_l_l_s_t_m_layer_quantized_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>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<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>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<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>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_CLLSTMLAYERQUANTIZED_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_CLLSTMLAYERQUANTIZED_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_activation_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLActivationLayer.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_concatenate_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLConcatenateLayer.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_dequantization_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLDequantizationLayer.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_elementwise_operations_8h.xhtml">arm_compute/runtime/CL/functions/CLElementwiseOperations.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_g_e_m_m_lowp_matrix_multiply_core_8h.xhtml">arm_compute/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_g_e_m_m_lowp_output_stage_8h.xhtml">arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_pixel_wise_multiplication_8h.xhtml">arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_quantization_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLQuantizationLayer.h</a>&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_slice_8h.xhtml">arm_compute/runtime/CL/functions/CLSlice.h</a>&quot;</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_transpose_8h.xhtml">arm_compute/runtime/CL/functions/CLTranspose.h</a>&quot;</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_l_s_t_m_params_8h.xhtml">arm_compute/runtime/common/LSTMParams.h</a>&quot;</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;{</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="comment">// Forward declarations</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="keyword">class </span>ICLTensor;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml"> 61</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml">CLLSTMLayerQuantized</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;{</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#a9e382561b8278103570de8550f83e718">CLLSTMLayerQuantized</a>(std::shared_ptr&lt;IMemoryManager&gt; memory_manager = <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#a9e382561b8278103570de8550f83e718">CLLSTMLayerQuantized</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml">CLLSTMLayerQuantized</a> &amp;) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#a9e382561b8278103570de8550f83e718">CLLSTMLayerQuantized</a>(<a class="code" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml">CLLSTMLayerQuantized</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml">CLLSTMLayerQuantized</a> &amp;<a class="code" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#a763bbaa72074a155be5385a583d0b9f3">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml">CLLSTMLayerQuantized</a> &amp;) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml">CLLSTMLayerQuantized</a> &amp;<a class="code" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#a763bbaa72074a155be5385a583d0b9f3">operator=</a>(<a class="code" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml">CLLSTMLayerQuantized</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#ab90e9ae19db4dbc4f316851b03402bfa">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input_to_input_weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input_to_forget_weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input_to_cell_weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input_to_output_weights,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *recurrent_to_input_weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *recurrent_to_forget_weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *recurrent_to_cell_weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *recurrent_to_output_weights,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input_gate_bias, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *forget_gate_bias, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *cell_bias, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output_gate_bias,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *cell_state_in, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output_state_in,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *cell_state_out, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output_state_out);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keyword">static</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#aea08b58ba60ca803b947023ce07c5f79">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input_to_input_weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input_to_forget_weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input_to_cell_weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input_to_output_weights,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *recurrent_to_input_weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *recurrent_to_forget_weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *recurrent_to_cell_weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *recurrent_to_output_weights,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input_gate_bias, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *forget_gate_bias, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *cell_bias, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output_gate_bias,</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *cell_state_in, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output_state_in,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *cell_state_out, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output_state_out);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">prepare</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <a class="code" href="classarm__compute_1_1_memory_group_base.xhtml">CLMemoryGroup</a> _memory_group;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="comment">// Functions used</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml">CLGEMMLowpMatrixMultiplyCore</a> _gemmlowp;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point.xhtml">CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint</a> _output_stage;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_transpose.xhtml">CLTranspose</a> _transpose_weights;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_concatenate_layer.xhtml">CLConcatenateLayer</a> _concat_input_weights;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_concatenate_layer.xhtml">CLConcatenateLayer</a> _concat_recurrent_weights;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_concatenate_layer.xhtml">CLConcatenateLayer</a> _concat_weights;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_concatenate_layer.xhtml">CLConcatenateLayer</a> _concat_inputs;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_concatenate_layer.xhtml">CLConcatenateLayer</a> _concat_bias;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_activation_layer.xhtml">CLActivationLayer</a> _sigmoid_forget_gate;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_activation_layer.xhtml">CLActivationLayer</a> _sigmoid_input_gate;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_activation_layer.xhtml">CLActivationLayer</a> _sigmoid_output_gate;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_activation_layer.xhtml">CLActivationLayer</a> _tanh_modulation_gate;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_activation_layer.xhtml">CLActivationLayer</a> _tanh_output_state;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_arithmetic_addition.xhtml">CLArithmeticAddition</a> _add_cell_state_tmps;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_arithmetic_addition.xhtml">CLArithmeticAddition</a> _add2;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_pixel_wise_multiplication.xhtml">CLPixelWiseMultiplication</a> _mul_forget_gate_cell_state;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_pixel_wise_multiplication.xhtml">CLPixelWiseMultiplication</a> _mul_input_gate_input_mod_gate;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_pixel_wise_multiplication.xhtml">CLPixelWiseMultiplication</a> _mul_output_state_tmp_output_gate;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_slice.xhtml">CLSlice</a> _slice_input_tensor;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_slice.xhtml">CLSlice</a> _slice_forget_tensor;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_slice.xhtml">CLSlice</a> _slice_cell_tensor;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_slice.xhtml">CLSlice</a> _slice_output_tensor;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_dequantization_layer.xhtml">CLDequantizationLayer</a> _dequantize;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_quantization_layer.xhtml">CLQuantizationLayer</a> _quantize;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <span class="comment">// Tensor pointers</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_input_to_input_weights;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_input_to_forget_weights;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_input_to_cell_weights;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_input_to_output_weights;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_recurrent_to_input_weights;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_recurrent_to_forget_weights;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_recurrent_to_cell_weights;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_recurrent_to_output_weights;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_input_gate_bias;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_forget_gate_bias;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_cell_bias;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_output_gate_bias;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <span class="comment">// Temporary tensors</span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _recurrent_weights;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _input_weights;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _weights;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _input;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _weights_transposed;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _output_highp;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _output_lowp;</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _bias;</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _forget_gate_input;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _input_gate_input;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _output_gate_input;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _input_modulation_gate_input;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _forget_gate_output;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _input_gate_output;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _output_gate_output;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _input_modulation_gate_output;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _cell_state_tmp1;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _cell_state_tmp2;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _output_state_tmp;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _output_state_out_symm;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _output_state_out_f32;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <span class="keywordtype">bool</span> _is_prepared;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;};</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_CLLSTMLAYERQUANTIZED_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_i_function_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_function.xhtml">arm_compute::IFunction</a></div><div class="ttdoc">Base class for all functions.</div><div class="ttdef"><b>Definition:</b> <a href="_i_function_8h_source.xhtml#l00030">IFunction.h:30</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized_xhtml_aa9b93ef660fc3c5b4b19d3fc7b891b77"><div class="ttname"><a href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">arm_compute::CLLSTMLayerQuantized::prepare</a></div><div class="ttdeci">void prepare() override</div><div class="ttdoc">Prepare the function for executing.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00512">CLLSTMLayerQuantized.cpp:512</a></div></div>
<div class="ttc" id="_c_l_concatenate_layer_8h_xhtml"><div class="ttname"><a href="_c_l_concatenate_layer_8h.xhtml">CLConcatenateLayer.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_arithmetic_addition_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_arithmetic_addition.xhtml">arm_compute::CLArithmeticAddition</a></div><div class="ttdoc">Basic function to run CLSaturatedArithmeticOperationKernel for addition.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operations_8h_source.xhtml#l00039">CLElementwiseOperations.h:39</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_activation_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_activation_layer.xhtml">arm_compute::CLActivationLayer</a></div><div class="ttdoc">Basic function to run CLActivationLayerKernel.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_activation_layer_8h_source.xhtml#l00039">CLActivationLayer.h:39</a></div></div>
<div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00052">Error.h:52</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_concatenate_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_concatenate_layer.xhtml">arm_compute::CLConcatenateLayer</a></div><div class="ttdoc">Basic function to execute concatenate tensors along a given axis.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_concatenate_layer_8h_source.xhtml#l00049">CLConcatenateLayer.h:49</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_dequantization_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_dequantization_layer.xhtml">arm_compute::CLDequantizationLayer</a></div><div class="ttdoc">Basic function to run CLDequantizationLayerKernel that dequantizes an input tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_dequantization_layer_8h_source.xhtml#l00037">CLDequantizationLayer.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_slice_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_slice.xhtml">arm_compute::CLSlice</a></div><div class="ttdoc">Basic function to perform tensor slicing.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_slice_8h_source.xhtml#l00035">CLSlice.h:35</a></div></div>
<div class="ttc" id="_c_l_dequantization_layer_8h_xhtml"><div class="ttname"><a href="_c_l_dequantization_layer_8h.xhtml">CLDequantizationLayer.h</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) 2017-2018 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_c_l_l_s_t_m_layer_quantized_xhtml_ab90e9ae19db4dbc4f316851b03402bfa"><div class="ttname"><a href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#ab90e9ae19db4dbc4f316851b03402bfa">arm_compute::CLLSTMLayerQuantized::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, const ICLTensor *input_to_input_weights, const ICLTensor *input_to_forget_weights, const ICLTensor *input_to_cell_weights, const ICLTensor *input_to_output_weights, const ICLTensor *recurrent_to_input_weights, const ICLTensor *recurrent_to_forget_weights, const ICLTensor *recurrent_to_cell_weights, const ICLTensor *recurrent_to_output_weights, const ICLTensor *input_gate_bias, const ICLTensor *forget_gate_bias, const ICLTensor *cell_bias, const ICLTensor *output_gate_bias, ICLTensor *cell_state_in, const ICLTensor *output_state_in, ICLTensor *cell_state_out, ICLTensor *output_state_out)</div><div class="ttdoc">Initialize function's tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00058">CLLSTMLayerQuantized.cpp:58</a></div></div>
<div class="ttc" id="_c_l_g_e_m_m_lowp_output_stage_8h_xhtml"><div class="ttname"><a href="_c_l_g_e_m_m_lowp_output_stage_8h.xhtml">CLGEMMLowpOutputStage.h</a></div></div>
<div class="ttc" id="_c_l_elementwise_operations_8h_xhtml"><div class="ttname"><a href="_c_l_elementwise_operations_8h.xhtml">CLElementwiseOperations.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml">arm_compute::CLLSTMLayerQuantized</a></div><div class="ttdoc">Basic function to run CLLSTMLayerQuantized.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_l_s_t_m_layer_quantized_8h_source.xhtml#l00061">CLLSTMLayerQuantized.h:61</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized_xhtml_aea08b58ba60ca803b947023ce07c5f79"><div class="ttname"><a href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#aea08b58ba60ca803b947023ce07c5f79">arm_compute::CLLSTMLayerQuantized::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *input_to_input_weights, const ITensorInfo *input_to_forget_weights, const ITensorInfo *input_to_cell_weights, const ITensorInfo *input_to_output_weights, const ITensorInfo *recurrent_to_input_weights, const ITensorInfo *recurrent_to_forget_weights, const ITensorInfo *recurrent_to_cell_weights, const ITensorInfo *recurrent_to_output_weights, const ITensorInfo *input_gate_bias, const ITensorInfo *forget_gate_bias, const ITensorInfo *cell_bias, const ITensorInfo *output_gate_bias, const ITensorInfo *cell_state_in, const ITensorInfo *output_state_in, const ITensorInfo *cell_state_out, const ITensorInfo *output_state_out)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLLSTMLayerQuantized.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00257">CLLSTMLayerQuantized.cpp:257</a></div></div>
<div class="ttc" id="_c_l_slice_8h_xhtml"><div class="ttname"><a href="_c_l_slice_8h.xhtml">CLSlice.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point.xhtml">arm_compute::CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint</a></div><div class="ttdoc">Basic function to execute CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint on OpenCL.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_lowp_output_stage_8h_source.xhtml#l00219">CLGEMMLowpOutputStage.h:219</a></div></div>
<div class="ttc" id="_l_s_t_m_params_8h_xhtml"><div class="ttname"><a href="_l_s_t_m_params_8h.xhtml">LSTMParams.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_pixel_wise_multiplication_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_pixel_wise_multiplication.xhtml">arm_compute::CLPixelWiseMultiplication</a></div><div class="ttdoc">Basic function to run CLPixelWiseMultiplicationKernel.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_pixel_wise_multiplication_8h_source.xhtml#l00036">CLPixelWiseMultiplication.h:36</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLLSTMLayerQuantized::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00465">CLLSTMLayerQuantized.cpp:465</a></div></div>
<div class="ttc" id="_c_l_g_e_m_m_lowp_matrix_multiply_core_8h_xhtml"><div class="ttname"><a href="_c_l_g_e_m_m_lowp_matrix_multiply_core_8h.xhtml">CLGEMMLowpMatrixMultiplyCore.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_memory_group_base_xhtml"><div class="ttname"><a href="classarm__compute_1_1_memory_group_base.xhtml">arm_compute::MemoryGroupBase&lt; CLTensor &gt;</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_tensor.xhtml">arm_compute::ICLTensor</a></div><div class="ttdoc">Interface for OpenCL tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_tensor_8h_source.xhtml#l00042">ICLTensor.h:42</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_transpose_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_transpose.xhtml">arm_compute::CLTranspose</a></div><div class="ttdoc">Basic function to transpose a matrix on OpenCL.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_transpose_8h_source.xhtml#l00038">CLTranspose.h:38</a></div></div>
<div class="ttc" id="_c_l_pixel_wise_multiplication_8h_xhtml"><div class="ttname"><a href="_c_l_pixel_wise_multiplication_8h.xhtml">CLPixelWiseMultiplication.h</a></div></div>
<div class="ttc" id="_c_l_transpose_8h_xhtml"><div class="ttname"><a href="_c_l_transpose_8h.xhtml">CLTranspose.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml">arm_compute::CLGEMMLowpMatrixMultiplyCore</a></div><div class="ttdoc">Basic function to execute GEMMLowpMatrixMultiplyCore on OpenCL.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_lowp_matrix_multiply_core_8h_source.xhtml#l00054">CLGEMMLowpMatrixMultiplyCore.h:54</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized_xhtml_a763bbaa72074a155be5385a583d0b9f3"><div class="ttname"><a href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#a763bbaa72074a155be5385a583d0b9f3">arm_compute::CLLSTMLayerQuantized::operator=</a></div><div class="ttdeci">CLLSTMLayerQuantized &amp; operator=(const CLLSTMLayerQuantized &amp;)=delete</div><div class="ttdoc">Prevent instances of this class from being copied (As this class contains pointers)</div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_quantization_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_quantization_layer.xhtml">arm_compute::CLQuantizationLayer</a></div><div class="ttdoc">Basic function to simulate a quantization layer.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_quantization_layer_8h_source.xhtml#l00040">CLQuantizationLayer.h:40</a></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="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized_xhtml_a9e382561b8278103570de8550f83e718"><div class="ttname"><a href="classarm__compute_1_1_c_l_l_s_t_m_layer_quantized.xhtml#a9e382561b8278103570de8550f83e718">arm_compute::CLLSTMLayerQuantized::CLLSTMLayerQuantized</a></div><div class="ttdeci">CLLSTMLayerQuantized(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)</div><div class="ttdoc">Default constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00046">CLLSTMLayerQuantized.cpp:46</a></div></div>
<div class="ttc" id="_c_l_activation_layer_8h_xhtml"><div class="ttname"><a href="_c_l_activation_layer_8h.xhtml">CLActivationLayer.h</a></div></div>
<div class="ttc" id="_c_l_quantization_layer_8h_xhtml"><div class="ttname"><a href="_c_l_quantization_layer_8h.xhtml">CLQuantizationLayer.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml">arm_compute::CLTensor</a></div><div class="ttdoc">Basic implementation of the OpenCL tensor interface.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8h_source.xhtml#l00040">CLTensor.h:40</a></div></div>
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