arm_compute v18.05
[platform/upstream/armcl.git] / documentation / _c_l_r_n_n_layer_8h_source.xhtml
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117 <div class="title">CLRNNLayer.h</div>  </div>
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120 <a href="_c_l_r_n_n_layer_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) 2018 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_CLRNN_LAYER_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_CLRNN_LAYER_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="_c_l_activation_layer_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLActivationLayerKernel.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_arithmetic_addition_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLArithmeticAdditionKernel.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_copy_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLCopyKernel.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="_i_c_l_simple_function_8h.xhtml">arm_compute/runtime/CL/ICLSimpleFunction.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_fully_connected_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLFullyConnectedLayer.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_8h.xhtml">arm_compute/runtime/CL/functions/CLGEMM.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;{</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="keyword">class </span>ICLTensor;</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_r_n_n_layer.xhtml">   39</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_r_n_n_layer.xhtml">CLRNNLayer</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="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">public</span>:</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ac511e3c07ea1ec0652dc67a18a4cef13">CLRNNLayer</a>(std::shared_ptr&lt;IMemoryManager&gt; memory_manager = <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ac30701352d51542a3f4923b210d3200a">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *recurrent_weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *bias, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *hidden_state, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>);</div><div class="line"><a name="l00067"></a><span class="lineno">   67</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_r_n_n_layer.xhtml#a6d9288c25c5236a8808ff1da545e1c7a">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *recurrent_weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *bias, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *hidden_state, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output,</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;                           <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> &amp;info);</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    <a class="code" href="classarm__compute_1_1_memory_group_base.xhtml">CLMemoryGroup</a>              _memory_group;</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a>                     _gemm_state_f;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml">CLArithmeticAdditionKernel</a> _add_kernel;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_activation_layer_kernel.xhtml">CLActivationLayerKernel</a>    _activation_kernel;</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_fully_connected_layer.xhtml">CLFullyConnectedLayer</a>      _fully_connected_kernel;</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_copy_kernel.xhtml">CLCopyKernel</a>               _copy_kernel;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>                   _fully_connected_out;</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>                   _gemm_output;</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>                   _add_output;</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;};</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;}</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_CLRNN_LAYER_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="_c_l_activation_layer_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_activation_layer_kernel_8h.xhtml">CLActivationLayerKernel.h</a></div></div>
121 <div class="ttc" id="classarm__compute_1_1_c_l_fully_connected_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_fully_connected_layer.xhtml">arm_compute::CLFullyConnectedLayer</a></div><div class="ttdoc">Basic function to compute a Fully Connected layer on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_fully_connected_layer_8h_source.xhtml#l00074">CLFullyConnectedLayer.h:74</a></div></div>
122 <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>
123 <div class="ttc" id="_c_l_copy_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_copy_kernel_8h.xhtml">CLCopyKernel.h</a></div></div>
124 <div class="ttc" id="classarm__compute_1_1_c_l_arithmetic_addition_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml">arm_compute::CLArithmeticAdditionKernel</a></div><div class="ttdoc">Interface for the arithmetic addition kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_arithmetic_addition_kernel_8h_source.xhtml#l00039">CLArithmeticAdditionKernel.h:39</a></div></div>
125 <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&amp;#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div>
126 <div class="ttc" id="classarm__compute_1_1_c_l_copy_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_copy_kernel.xhtml">arm_compute::CLCopyKernel</a></div><div class="ttdoc">OpenCL kernel to perform a copy between two tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_copy_kernel_8h_source.xhtml#l00035">CLCopyKernel.h:35</a></div></div>
127 <div class="ttc" id="_i_c_l_simple_function_8h_xhtml"><div class="ttname"><a href="_i_c_l_simple_function_8h.xhtml">ICLSimpleFunction.h</a></div></div>
128 <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#l00051">Error.h:51</a></div></div>
129 <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00809">Types.h:809</a></div></div>
130 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a096668313a9a819d54a2e65ec21ff0cc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info</a></div><div class="ttdeci">src info() -&gt; set_format(Format::S16)</div></div>
131 <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
132 <div class="ttc" id="classarm__compute_1_1_c_l_activation_layer_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_activation_layer_kernel.xhtml">arm_compute::CLActivationLayerKernel</a></div><div class="ttdoc">Interface for the activation layer kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_activation_layer_kernel_8h_source.xhtml#l00034">CLActivationLayerKernel.h:34</a></div></div>
133 <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">arm_compute::CLGEMM</a></div><div class="ttdoc">Basic function to execute GEMM on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_8h_source.xhtml#l00051">CLGEMM.h:51</a></div></div>
134 <div class="ttc" id="_c_l_g_e_m_m_8h_xhtml"><div class="ttname"><a href="_c_l_g_e_m_m_8h.xhtml">CLGEMM.h</a></div></div>
135 <div class="ttc" id="classarm__compute_1_1_c_l_r_n_n_layer_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLRNNLayer::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function. </div></div>
136 <div class="ttc" id="classarm__compute_1_1_c_l_r_n_n_layer_xhtml_a6d9288c25c5236a8808ff1da545e1c7a"><div class="ttname"><a href="classarm__compute_1_1_c_l_r_n_n_layer.xhtml#a6d9288c25c5236a8808ff1da545e1c7a">arm_compute::CLRNNLayer::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *recurrent_weights, const ITensorInfo *bias, const ITensorInfo *hidden_state, const ITensorInfo *output, const ActivationLayerInfo &amp;info)</div><div class="ttdoc">Initialize the function. </div></div>
137 <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>
138 <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#l00040">ICLTensor.h:40</a></div></div>
139 <div class="ttc" id="_c_l_fully_connected_layer_8h_xhtml"><div class="ttname"><a href="_c_l_fully_connected_layer_8h.xhtml">CLFullyConnectedLayer.h</a></div></div>
140 <div class="ttc" id="classarm__compute_1_1_c_l_r_n_n_layer_xhtml_ac511e3c07ea1ec0652dc67a18a4cef13"><div class="ttname"><a href="classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ac511e3c07ea1ec0652dc67a18a4cef13">arm_compute::CLRNNLayer::CLRNNLayer</a></div><div class="ttdeci">CLRNNLayer(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)</div><div class="ttdoc">Default constructor. </div></div>
141 <div class="ttc" id="classarm__compute_1_1_c_l_r_n_n_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_r_n_n_layer.xhtml">arm_compute::CLRNNLayer</a></div><div class="ttdoc">Basic function to run CLRNNLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_r_n_n_layer_8h_source.xhtml#l00039">CLRNNLayer.h:39</a></div></div>
142 <div class="ttc" id="classarm__compute_1_1_c_l_r_n_n_layer_xhtml_ac30701352d51542a3f4923b210d3200a"><div class="ttname"><a href="classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ac30701352d51542a3f4923b210d3200a">arm_compute::CLRNNLayer::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *recurrent_weights, const ICLTensor *bias, ICLTensor *hidden_state, ICLTensor *output, ActivationLayerInfo &amp;info)</div><div class="ttdoc">Initialize the function. </div></div>
143 <div class="ttc" id="_c_l_arithmetic_addition_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_arithmetic_addition_kernel_8h.xhtml">CLArithmeticAdditionKernel.h</a></div></div>
144 <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#l00039">CLTensor.h:39</a></div></div>
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150     <li class="navelem"><a class="el" href="dir_214608ef36d61442cb2b0c1c4e9a7def.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="dir_8bc26130589aa16388b5a02f17abf2c2.xhtml">runtime</a></li><li class="navelem"><a class="el" href="dir_b986aa98f9b6490bb4fc7918500346fb.xhtml">CL</a></li><li class="navelem"><a class="el" href="dir_251c63bc3f70b60acf43edd6d870a3ef.xhtml">functions</a></li><li class="navelem"><a class="el" href="_c_l_r_n_n_layer_8h.xhtml">CLRNNLayer.h</a></li>
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153     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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