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<div id="projectname">ARM Compute Library
-  <span id="projectnumber">17.03.1</span>
+  <span id="projectnumber">17.04</span>
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<div class="title">NEFullyConnectedLayer.h</div> </div>
</div><!--header-->
<div class="contents">
-<a href="_n_e_fully_connected_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> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017 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_NEFULLYCONNECTEDLAYER_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_NEFULLYCONNECTEDLAYER_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="_n_e_g_e_m_m_matrix_accumulate_biases_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEGEMMMatrixAccumulateBiasesKernel.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_n_e_transpose_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NETransposeKernel.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_n_e_convolution_layer_8h.xhtml">arm_compute/runtime/NEON/functions/NEConvolutionLayer.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_n_e_g_e_m_m_8h.xhtml">arm_compute/runtime/NEON/functions/NEGEMM.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="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> {</div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml"> 44</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">NEFullyConnectedLayer</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="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a9a5cc50098bbd29bd8cd04040f7f0fe1">NEFullyConnectedLayer</a>();</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a77645c78f461296c6a81268407246859">configure</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *biases, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="comment">//Inherited methods override</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">void</span> run_conv();</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordtype">void</span> run_fc();</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">using</span> FullyConnectedLayerFunctionPtr = void (<a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">NEFullyConnectedLayer</a>::*)(void);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_layer.xhtml">NEConvolutionLayer</a> _conv_function;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m.xhtml">NEGEMM</a> _gemm_function;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml">NETransposeKernel</a> _transpose_kernel;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml">NEGEMMMatrixAccumulateBiasesKernel</a> _acc_biases_kernel;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  FullyConnectedLayerFunctionPtr _run_func;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _weights_transposed;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordtype">bool</span> _is_first_run;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordtype">bool</span> _run_acc_biases;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> };</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_NEFULLYCONNECTEDLAYER_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="_n_e_convolution_layer_8h_xhtml"><div class="ttname"><a href="_n_e_convolution_layer_8h.xhtml">NEConvolutionLayer.h</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m.xhtml">arm_compute::NEGEMM</a></div><div class="ttdoc">Basic function to execute GEMM on NEON. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_8h_source.xhtml#l00045">NEGEMM.h:45</a></div></div>
-<div class="ttc" id="_n_e_g_e_m_m_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_8h.xhtml">NEGEMM.h</a></div></div>
+<a href="_n_e_fully_connected_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> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017 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_NEFULLYCONNECTEDLAYER_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_NEFULLYCONNECTEDLAYER_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_function_8h.xhtml">arm_compute/runtime/IFunction.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_n_e_g_e_m_m_interleave4x4_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEGEMMInterleave4x4Kernel.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_n_e_g_e_m_m_matrix_accumulate_biases_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEGEMMMatrixAccumulateBiasesKernel.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_n_e_g_e_m_m_matrix_multiply_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEGEMMMatrixMultiplyKernel.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_n_e_g_e_m_m_transpose1x_w_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEGEMMTranspose1xWKernel.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="_n_e_im2_col_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEIm2ColKernel.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="_n_e_transpose_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NETransposeKernel.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>"</span></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">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml"> 49</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">NEFullyConnectedLayer</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="l00050"></a><span class="lineno"> 50</span> {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a9a5cc50098bbd29bd8cd04040f7f0fe1">NEFullyConnectedLayer</a>();</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#afeecbea374f5b5e83b767a18732127d4">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *biases, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keywordtype">bool</span> transpose_weights = <span class="keyword">true</span>);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="comment">//Inherited methods override</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordtype">void</span> configure_fc_fc_wb(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *weights, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordtype">void</span> configure_fc_fc_nb(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *weights, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordtype">void</span> configure_conv_fc_wb(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *weights, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordtype">void</span> configure_conv_fc_nb(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *weights, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml">NEIm2ColKernel</a> _im2col_kernel;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml">NETransposeKernel</a> _transpose_kernel;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml">NEGEMMTranspose1xWKernel</a> _transpose1xW_kernel;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml">NEGEMMInterleave4x4Kernel</a> _interleave4x4_kernel;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml">NEGEMMMatrixMultiplyKernel</a> _mm_kernel;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml">NEGEMMMatrixAccumulateBiasesKernel</a> _accumulate_biases_kernel;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _im2col_output;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _interleave4x4_output;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _transpose_output;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _transpose1xW_output;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordtype">bool</span> _is_first_run;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordtype">bool</span> _transpose_weights;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordtype">bool</span> _fc_after_conv;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">bool</span> _batched_fc_layer;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordtype">bool</span> _accumulate_biases;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> };</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> }</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_NEFULLYCONNECTEDLAYER_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="_n_e_g_e_m_m_interleave4x4_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_interleave4x4_kernel_8h.xhtml">NEGEMMInterleave4x4Kernel.h</a></div></div>
+<div class="ttc" id="_n_e_g_e_m_m_matrix_multiply_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_matrix_multiply_kernel_8h.xhtml">NEGEMMMatrixMultiplyKernel.h</a></div></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_n_e_im2_col_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml">arm_compute::NEIm2ColKernel</a></div><div class="ttdoc">Interface for the im2col reshape kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_im2_col_kernel_8h_source.xhtml#l00056">NEIm2ColKernel.h:56</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_8dox_source.xhtml#l00001">arm_compute.dox:1</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_n_e_fully_connected_layer_xhtml_a77645c78f461296c6a81268407246859"><div class="ttname"><a href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a77645c78f461296c6a81268407246859">arm_compute::NEFullyConnectedLayer::configure</a></div><div class="ttdeci">void configure(ITensor *input, ITensor *weights, const ITensor *biases, ITensor *output)</div><div class="ttdoc">Set the input and output tensors. </div></div>
+<div class="ttc" id="_n_e_g_e_m_m_transpose1x_w_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_transpose1x_w_kernel_8h.xhtml">NEGEMMTranspose1xWKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_fully_connected_layer_xhtml_a9a5cc50098bbd29bd8cd04040f7f0fe1"><div class="ttname"><a href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a9a5cc50098bbd29bd8cd04040f7f0fe1">arm_compute::NEFullyConnectedLayer::NEFullyConnectedLayer</a></div><div class="ttdeci">NEFullyConnectedLayer()</div><div class="ttdoc">Constructor. </div></div>
+<div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml">arm_compute::NEGEMMInterleave4x4Kernel</a></div><div class="ttdoc">NEON kernel to interleave the elements of a matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_interleave4x4_kernel_8h_source.xhtml#l00052">NEGEMMInterleave4x4Kernel.h:52</a></div></div>
+<div class="ttc" id="_tensor_8h_xhtml"><div class="ttname"><a href="_tensor_8h.xhtml">Tensor.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_transpose_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_transpose_kernel.xhtml">arm_compute::NETransposeKernel</a></div><div class="ttdoc">NEON kernel which transposes the elements of a matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_transpose_kernel_8h_source.xhtml#l00038">NETransposeKernel.h:38</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_n_e_convolution_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_layer.xhtml">arm_compute::NEConvolutionLayer</a></div><div class="ttdoc">Basic function to simulate a convolution layer. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_layer_8h_source.xhtml#l00051">NEConvolutionLayer.h:51</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_n_e_fully_connected_layer_xhtml_afeecbea374f5b5e83b767a18732127d4"><div class="ttname"><a href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#afeecbea374f5b5e83b767a18732127d4">arm_compute::NEFullyConnectedLayer::configure</a></div><div class="ttdeci">void configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, bool transpose_weights=true)</div><div class="ttdoc">Set the input and output tensors. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml">arm_compute::NEGEMMMatrixAccumulateBiasesKernel</a></div><div class="ttdoc">NEON kernel to add a bias to each row of the input tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_matrix_accumulate_biases_kernel_8h_source.xhtml#l00033">NEGEMMMatrixAccumulateBiasesKernel.h:33</a></div></div>
<div class="ttc" id="_n_e_transpose_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_transpose_kernel_8h.xhtml">NETransposeKernel.h</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml">arm_compute::NEGEMMTranspose1xWKernel</a></div><div class="ttdoc">NEON kernel which transposes the elements of a matrix in chunks of 1x4 if the input data type is F32 ...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_transpose1x_w_kernel_8h_source.xhtml#l00069">NEGEMMTranspose1xWKernel.h:69</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor.xhtml">arm_compute::Tensor</a></div><div class="ttdoc">Basic implementation of the tensor interface. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8h_source.xhtml#l00037">Tensor.h:37</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_n_e_fully_connected_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">arm_compute::NEFullyConnectedLayer</a></div><div class="ttdoc">Basic function to compute a Fully Connected layer on NEON. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_fully_connected_layer_8h_source.xhtml#l00044">NEFullyConnectedLayer.h:44</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_n_e_fully_connected_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">arm_compute::NEFullyConnectedLayer</a></div><div class="ttdoc">Basic function to compute a Fully Connected layer on NEON. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_fully_connected_layer_8h_source.xhtml#l00049">NEFullyConnectedLayer.h:49</a></div></div>
<div class="ttc" id="_n_e_g_e_m_m_matrix_accumulate_biases_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_matrix_accumulate_biases_kernel_8h.xhtml">NEGEMMMatrixAccumulateBiasesKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_fully_connected_layer_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::NEFullyConnectedLayer::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function. </div></div>
+<div class="ttc" id="_i_function_8h_xhtml"><div class="ttname"><a href="_i_function_8h.xhtml">IFunction.h</a></div></div>
+<div class="ttc" id="_n_e_im2_col_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_im2_col_kernel_8h.xhtml">NEIm2ColKernel.h</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml">arm_compute::NEGEMMMatrixMultiplyKernel</a></div><div class="ttdoc">NEON kernel to multiply two input matrices "A" and "B". </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_matrix_multiply_kernel_8h_source.xhtml#l00039">NEGEMMMatrixMultiplyKernel.h:39</a></div></div>
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<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_65e289039e1347f87d412b0a1b1a312c.xhtml">NEON</a></li><li class="navelem"><a class="el" href="dir_345bd7154d1542d1e03fd2836959a19d.xhtml">functions</a></li><li class="navelem"><a class="el" href="_n_e_fully_connected_layer_8h.xhtml">NEFullyConnectedLayer.h</a></li>
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