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| <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) 2017-2018 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_flatten_layer_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEFlattenLayerKernel.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_transpose_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NETransposeKernel.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_memory_group_8h.xhtml">arm_compute/runtime/MemoryGroup.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_convert_fully_connected_weights_8h.xhtml">arm_compute/runtime/NEON/functions/NEConvertFullyConnectedWeights.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_g_e_m_m_8h.xhtml">arm_compute/runtime/NEON/functions/NEGEMM.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="_n_e_g_e_m_m_lowp_matrix_multiply_core_8h.xhtml">arm_compute/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="_n_e_g_e_m_m_lowp_output_stage_8h.xhtml">arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h</a>"</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml"> 47</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml">NEFullyConnectedLayerReshapeWeights</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_n_e_simple_function_no_border.xhtml">INESimpleFunctionNoBorder</a></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml#a83a344e60eb7db895953a942abf16628">configure</a>(<span class="keyword">const</span> <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> *output);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <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_n_e_fully_connected_layer_reshape_weights.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883">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> *output);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> };</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml"> 74</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="l00075"></a><span class="lineno"> 75</span> {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a7998301359e064aa20ce967b45301d3b">NEFullyConnectedLayer</a>(std::shared_ptr<IMemoryManager> memory_manager = <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a7998301359e064aa20ce967b45301d3b">NEFullyConnectedLayer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">NEFullyConnectedLayer</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a7998301359e064aa20ce967b45301d3b">NEFullyConnectedLayer</a>(<a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">NEFullyConnectedLayer</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">NEFullyConnectedLayer</a> &<a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ab6dae67a00e8a7cb4809608be13d2e61">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">NEFullyConnectedLayer</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">NEFullyConnectedLayer</a> &<a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ab6dae67a00e8a7cb4809608be13d2e61">operator=</a>(<a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">NEFullyConnectedLayer</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a91fb7694ae938cfec69ff6474451de49">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> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, <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="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="structarm__compute_1_1_fully_connected_layer_info.xhtml">FullyConnectedLayerInfo</a> fc_info = <a class="code" href="structarm__compute_1_1_fully_connected_layer_info.xhtml">FullyConnectedLayerInfo</a>());</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <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_n_e_fully_connected_layer.xhtml#a8da875051f2d75a497fb2de9cdd2e6cb">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> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *biases, <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="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="structarm__compute_1_1_fully_connected_layer_info.xhtml">FullyConnectedLayerInfo</a> fc_info = <a class="code" href="structarm__compute_1_1_fully_connected_layer_info.xhtml">FullyConnectedLayerInfo</a>());</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="comment">//Inherited methods override</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</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="l00124"></a><span class="lineno"> 124</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">prepare</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordtype">void</span> configure_fc_fc(<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> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordtype">void</span> configure_conv_fc(<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> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordtype">void</span> configure_mm(<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> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <a class="code" href="classarm__compute_1_1_memory_group_base.xhtml">MemoryGroup</a> _memory_group;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml">NEFlattenLayerKernel</a> _flatten_kernel;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml">NEConvertFullyConnectedWeights</a> _convert_weights;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml">NEFullyConnectedLayerReshapeWeights</a> _reshape_weights_function;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m.xhtml">NEGEMM</a> _mm_gemm;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml">NEGEMMLowpMatrixMultiplyCore</a> _mm_gemmlowp;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml">NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint</a> _gemmlowp_output_stage;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</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="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _flatten_output;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _gemmlowp_output;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _converted_weights_output;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _reshape_weights_output;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_original_weights;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordtype">bool</span> _are_weights_converted;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordtype">bool</span> _are_weights_reshaped;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordtype">bool</span> _is_fc_after_conv;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordtype">bool</span> _accumulate_biases;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordtype">bool</span> _is_quantized;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordtype">bool</span> _is_prepared;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> };</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</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="classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml">arm_compute::NEFullyConnectedLayerReshapeWeights</a></div><div class="ttdoc">Basic function to reshape the weights of Fully Connected layer with NEON.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_fully_connected_layer_8h_source.xhtml#l00047">NEFullyConnectedLayer.h:47</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#l00050">NEGEMM.h:50</a></div></div> |
| <div class="ttc" id="_n_e_flatten_layer_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_flatten_layer_kernel_8h.xhtml">NEFlattenLayerKernel.h</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> |
| <div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml">arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint</a></div><div class="ttdoc">Basic function to execute NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint on NEON.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_lowp_output_stage_8h_source.xhtml#l00119">NEGEMMLowpOutputStage.h:119</a></div></div> |
| <div class="ttc" id="_n_e_g_e_m_m_lowp_matrix_multiply_core_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_lowp_matrix_multiply_core_8h.xhtml">NEGEMMLowpMatrixMultiplyCore.h</a></div></div> |
| <div class="ttc" id="_n_e_g_e_m_m_lowp_output_stage_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_lowp_output_stage_8h.xhtml">NEGEMMLowpOutputStage.h</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_fully_connected_layer_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_fully_connected_layer_info.xhtml">arm_compute::FullyConnectedLayerInfo</a></div><div class="ttdoc">Fully connected layer info.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00793">Types.h:793</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_n_e_fully_connected_layer_xhtml_a7998301359e064aa20ce967b45301d3b"><div class="ttname"><a href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a7998301359e064aa20ce967b45301d3b">arm_compute::NEFullyConnectedLayer::NEFullyConnectedLayer</a></div><div class="ttdeci">NEFullyConnectedLayer(std::shared_ptr< IMemoryManager > memory_manager=nullptr)</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_fully_connected_layer_8cpp_source.xhtml#l00077">NEFullyConnectedLayer.cpp:77</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_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="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_n_e_flatten_layer_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml">arm_compute::NEFlattenLayerKernel</a></div><div class="ttdoc">Interface for the flatten layer kernel.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_flatten_layer_kernel_8h_source.xhtml#l00034">NEFlattenLayerKernel.h:34</a></div></div> |
| <div class="ttc" id="_n_e_convert_fully_connected_weights_8h_xhtml"><div class="ttname"><a href="_n_e_convert_fully_connected_weights_8h.xhtml">NEConvertFullyConnectedWeights.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights_xhtml_a968b23a6ef327fcfb5b99d58e3fbe883"><div class="ttname"><a href="classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883">arm_compute::NEFullyConnectedLayerReshapeWeights::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEFullyConnectedLayerRes...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_fully_connected_layer_8cpp_source.xhtml#l00072">NEFullyConnectedLayer.cpp:72</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_convert_fully_connected_weights_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml">arm_compute::NEConvertFullyConnectedWeights</a></div><div class="ttdoc">Basic function to run NEConvertFullyConnectedWeightsKernel.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convert_fully_connected_weights_8h_source.xhtml#l00036">NEConvertFullyConnectedWeights.h:36</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_n_e_simple_function_no_border_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_n_e_simple_function_no_border.xhtml">arm_compute::INESimpleFunctionNoBorder</a></div><div class="ttdoc">Basic interface for functions which have a single NEON kernel and no border.</div><div class="ttdef"><b>Definition:</b> <a href="_i_n_e_simple_function_no_border_8h_source.xhtml#l00035">INESimpleFunctionNoBorder.h:35</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_fully_connected_layer_xhtml_a91fb7694ae938cfec69ff6474451de49"><div class="ttname"><a href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a91fb7694ae938cfec69ff6474451de49">arm_compute::NEFullyConnectedLayer::configure</a></div><div class="ttdeci">void configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, FullyConnectedLayerInfo fc_info=FullyConnectedLayerInfo())</div><div class="ttdoc">Set the input and output tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_fully_connected_layer_8cpp_source.xhtml#l00139">NEFullyConnectedLayer.cpp:139</a></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_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="runtime_2_tensor_8h_source.xhtml#l00037">Tensor.h:37</a></div></div> |
| <div class="ttc" id="_memory_group_8h_xhtml"><div class="ttname"><a href="_memory_group_8h.xhtml">MemoryGroup.h</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#l00074">NEFullyConnectedLayer.h:74</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< Tensor ></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 class="ttdef"><b>Definition:</b> <a href="_n_e_fully_connected_layer_8cpp_source.xhtml#l00344">NEFullyConnectedLayer.cpp:344</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_fully_connected_layer_xhtml_a8da875051f2d75a497fb2de9cdd2e6cb"><div class="ttname"><a href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a8da875051f2d75a497fb2de9cdd2e6cb">arm_compute::NEFullyConnectedLayer::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, FullyConnectedLayerInfo fc_info=FullyConnectedLayerInfo())</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEFullyConnectedLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_fully_connected_layer_8cpp_source.xhtml#l00245">NEFullyConnectedLayer.cpp:245</a></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="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">ConvolutionLayer.cpp:180</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights_xhtml_a83a344e60eb7db895953a942abf16628"><div class="ttname"><a href="classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml#a83a344e60eb7db895953a942abf16628">arm_compute::NEFullyConnectedLayerReshapeWeights::configure</a></div><div class="ttdeci">void configure(const ITensor *input, ITensor *output)</div><div class="ttdoc">Set the input and output tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_fully_connected_layer_8cpp_source.xhtml#l00065">NEFullyConnectedLayer.cpp:65</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_fully_connected_layer_xhtml_aa9b93ef660fc3c5b4b19d3fc7b891b77"><div class="ttname"><a href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">arm_compute::NEFullyConnectedLayer::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="_n_e_fully_connected_layer_8cpp_source.xhtml#l00380">NEFullyConnectedLayer.cpp:380</a></div></div> |
| <div class="ttc" id="runtime_2_tensor_8h_xhtml"><div class="ttname"><a href="runtime_2_tensor_8h.xhtml">Tensor.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_fully_connected_layer_xhtml_ab6dae67a00e8a7cb4809608be13d2e61"><div class="ttname"><a href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ab6dae67a00e8a7cb4809608be13d2e61">arm_compute::NEFullyConnectedLayer::operator=</a></div><div class="ttdeci">NEFullyConnectedLayer & operator=(const NEFullyConnectedLayer &)=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_n_e_g_e_m_m_lowp_matrix_multiply_core_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml">arm_compute::NEGEMMLowpMatrixMultiplyCore</a></div><div class="ttdoc">Basic function to execute GEMMLowpMatrixMultiplyCore on NEON.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_lowp_matrix_multiply_core_8h_source.xhtml#l00055">NEGEMMLowpMatrixMultiplyCore.h:55</a></div></div> |
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