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 117 <div class="title">CLGEMMConvolutionLayer.h</div>  </div>
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 120 <a href="_c_l_g_e_m_m_convolution_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) 2017-2018 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_CLGEMMCONVOLUTIONLAYER_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_CLGEMMCONVOLUTIONLAYER_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="_i_function_8h.xhtml">arm_compute/runtime/IFunction.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</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_col2_im_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLCol2ImKernel.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_fill_border_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLFillBorderKernel.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_g_e_m_m_interleave4x4_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLGEMMInterleave4x4Kernel.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_matrix_multiply_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.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_transpose1x_w_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLGEMMTranspose1xWKernel.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_im2_col_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLIm2ColKernel.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_weights_reshape_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLWeightsReshapeKernel.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="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.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_memory_group_8h.xhtml">arm_compute/runtime/CL/CLMemoryGroup.h</a>&quot;</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_tensor_8h.xhtml">arm_compute/runtime/CL/CLTensor.h</a>&quot;</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</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="l00040"></a><span class="lineno">   40</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="l00041"></a><span class="lineno">   41</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="l00042"></a><span class="lineno">   42</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="l00043"></a><span class="lineno">   43</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_memory_manager_8h.xhtml">arm_compute/runtime/IMemoryManager.h</a>&quot;</span></div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="preprocessor">#include &lt;memory&gt;</span></div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;{</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;<span class="keyword">class </span>ICLTensor;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml">   54</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml">CLConvolutionLayerReshapeWeights</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="l00055"></a><span class="lineno">   55</span>&#160;{</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#a73ef66c1023022fe03cd8d3e3c865ff7">CLConvolutionLayerReshapeWeights</a>();</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#a9a3d99b364c89f386250cc92dddc6b1b">configure</a>(<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> *biases, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output);</div><div class="line"><a name="l00076"></a><span class="lineno">   76</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_convolution_layer_reshape_weights.xhtml#a81d17a75f619c824d037e6304fb2e1c2">validate</a>(<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> *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="l00077"></a><span class="lineno">   77</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml">CLWeightsReshapeKernel</a> _weights_reshape_kernel;</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;};</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;</div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml">   99</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml">CLGEMMConvolutionLayer</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="l00100"></a><span class="lineno">  100</span>&#160;{</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml">CLGEMMConvolutionLayer</a>(std::shared_ptr&lt;IMemoryManager&gt; memory_manager = <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml">CLGEMMConvolutionLayer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml">CLGEMMConvolutionLayer</a> &amp;) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml">CLGEMMConvolutionLayer</a>(<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml">CLGEMMConvolutionLayer</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml">CLGEMMConvolutionLayer</a> &amp;operator=(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml">CLGEMMConvolutionLayer</a> &amp;) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml">CLGEMMConvolutionLayer</a> &amp;operator=(<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml">CLGEMMConvolutionLayer</a> &amp;&amp;) = <span class="keywordflow">default</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_convolution_layer_reshape_weights.xhtml#a9a3d99b364c89f386250cc92dddc6b1b">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> *biases, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf">conv_info</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7cb842ebfe255726066039853a4322f0">weights_info</a> = <a class="code" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a>(),</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;                   <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;dilation = <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> &amp;act_info = <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>());</div><div class="line"><a name="l00151"></a><span class="lineno">  151</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_convolution_layer_reshape_weights.xhtml#a81d17a75f619c824d037e6304fb2e1c2">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> *biases, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;conv_info,</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;                           <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7cb842ebfe255726066039853a4322f0">weights_info</a> = <a class="code" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a>(), <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;dilation = <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> &amp;act_info = <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>());</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">prepare</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    <span class="keywordtype">void</span> configure_mm(<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, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output);</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    <span class="keyword">static</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> validate_mm(<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> *output);</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    <a class="code" href="classarm__compute_1_1_memory_group_base.xhtml">CLMemoryGroup</a>                                       _memory_group;</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml">CLConvolutionLayerReshapeWeights</a>                    _reshape_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_im2_col_kernel.xhtml">CLIm2ColKernel</a>                                      _im2col_kernel;</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a>                                              _mm_gemm;</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml">CLGEMMLowpMatrixMultiplyCore</a>                        _mm_gemmlowp;</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml">CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint</a> _gemmlowp_output_stage;</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_col2_im_kernel.xhtml">CLCol2ImKernel</a>                                      _col2im_kernel;</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_activation_layer.xhtml">CLActivationLayer</a>                                   _activationlayer_function;</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_original_weights;</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;</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> _im2col_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> _weights_reshaped;</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> _gemm_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> _tmp_output;</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    <span class="keywordtype">bool</span> _is_quantized;</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;    <span class="keywordtype">bool</span> _is_activationlayer_enabled;</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    <span class="keywordtype">bool</span> _is_prepared;</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;};</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="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_CLGEMMCONVOLUTIONLAYER_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="_c_l_col2_im_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_col2_im_kernel_8h.xhtml">CLCol2ImKernel.h</a></div></div>
 121 <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>
 122 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7cb842ebfe255726066039853a4322f0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7cb842ebfe255726066039853a4322f0">arm_compute::test::validation::weights_info</a></div><div class="ttdeci">weights_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00360">Winograd.cpp:360</a></div></div>
 123 <div class="ttc" id="classarm__compute_1_1_c_l_im2_col_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml">arm_compute::CLIm2ColKernel</a></div><div class="ttdoc">Interface for the im2col reshape kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8h_source.xhtml#l00056">CLIm2ColKernel.h:56</a></div></div>
 124 <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_convolution_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml">arm_compute::CLGEMMConvolutionLayer</a></div><div class="ttdoc">Basic function to compute the convolution layer. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_convolution_layer_8h_source.xhtml#l00099">CLGEMMConvolutionLayer.h:99</a></div></div>
 125 <div class="ttc" id="_c_l_weights_reshape_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_weights_reshape_kernel_8h.xhtml">CLWeightsReshapeKernel.h</a></div></div>
 126 <div class="ttc" id="_i_memory_manager_8h_xhtml"><div class="ttname"><a href="_i_memory_manager_8h.xhtml">IMemoryManager.h</a></div></div>
 127 <div class="ttc" id="_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_8h.xhtml">CLTensor.h</a></div></div>
 128 <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>
 129 <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>
 130 <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>
 131 <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>
 132 <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>
 133 <div class="ttc" id="_c_l_g_e_m_m_interleave4x4_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_g_e_m_m_interleave4x4_kernel_8h.xhtml">CLGEMMInterleave4x4Kernel.h</a></div></div>
 134 <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>
 135 <div class="ttc" id="classarm__compute_1_1_weights_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_weights_info.xhtml">arm_compute::WeightsInfo</a></div><div class="ttdoc">Convolution Layer Weights Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00944">Types.h:944</a></div></div>
 136 <div class="ttc" id="classarm__compute_1_1_c_l_convolution_layer_reshape_weights_xhtml_a81d17a75f619c824d037e6304fb2e1c2"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#a81d17a75f619c824d037e6304fb2e1c2">arm_compute::CLConvolutionLayerReshapeWeights::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLConvolutionLayerReshap...</div></div>
 137 <div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::Channel::U</a></div><div class="ttdoc">Cb/U channel. </div></div>
 138 <div class="ttc" id="classarm__compute_1_1_i_function_xhtml_a820f7291c24155a2980512fae45aac26"><div class="ttname"><a href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">arm_compute::IFunction::prepare</a></div><div class="ttdeci">virtual void prepare()</div><div class="ttdoc">Prepare the function for executing. </div><div class="ttdef"><b>Definition:</b> <a href="_i_function_8h_source.xhtml#l00057">IFunction.h:57</a></div></div>
 139 <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>
 140 <div class="ttc" id="_c_l_memory_group_8h_xhtml"><div class="ttname"><a href="_c_l_memory_group_8h.xhtml">CLMemoryGroup.h</a></div></div>
 141 <div class="ttc" id="_c_l_im2_col_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_im2_col_kernel_8h.xhtml">CLIm2ColKernel.h</a></div></div>
 142 <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>
 143 <div class="ttc" id="classarm__compute_1_1_c_l_convolution_layer_reshape_weights_xhtml_a73ef66c1023022fe03cd8d3e3c865ff7"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#a73ef66c1023022fe03cd8d3e3c865ff7">arm_compute::CLConvolutionLayerReshapeWeights::CLConvolutionLayerReshapeWeights</a></div><div class="ttdeci">CLConvolutionLayerReshapeWeights()</div><div class="ttdoc">Constructor. </div></div>
 144 <div class="ttc" id="classarm__compute_1_1_c_l_col2_im_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_col2_im_kernel.xhtml">arm_compute::CLCol2ImKernel</a></div><div class="ttdoc">Interface for the col2im reshaping kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_col2_im_kernel_8h_source.xhtml#l00051">CLCol2ImKernel.h:51</a></div></div>
 145 <div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00571">Types.h:571</a></div></div>
 146 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acbf8f8a6dd185de04c1981c57a8963cf"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00360">Winograd.cpp:360</a></div></div>
 147 <div class="ttc" id="classarm__compute_1_1_c_l_convolution_layer_reshape_weights_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml">arm_compute::CLConvolutionLayerReshapeWeights</a></div><div class="ttdoc">Function to reshape and transpose the weights. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_convolution_layer_8h_source.xhtml#l00054">CLGEMMConvolutionLayer.h:54</a></div></div>
 148 <div class="ttc" id="_c_l_fill_border_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_fill_border_kernel_8h.xhtml">CLFillBorderKernel.h</a></div></div>
 149 <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>
 150 <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>
 151 <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>
 152 <div class="ttc" id="_c_l_g_e_m_m_matrix_multiply_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_g_e_m_m_matrix_multiply_kernel_8h.xhtml">CLGEMMMatrixMultiplyKernel.h</a></div></div>
 153 <div class="ttc" id="_i_function_8h_xhtml"><div class="ttname"><a href="_i_function_8h.xhtml">IFunction.h</a></div></div>
 154 <div class="ttc" id="classarm__compute_1_1_c_l_weights_reshape_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml">arm_compute::CLWeightsReshapeKernel</a></div><div class="ttdoc">OpenCL kernel to perform reshaping on the weights used by convolution and locally connected layer...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_weights_reshape_kernel_8h_source.xhtml#l00054">CLWeightsReshapeKernel.h:54</a></div></div>
 155 <div class="ttc" id="classarm__compute_1_1_size2_d_xhtml"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml">arm_compute::Size2D</a></div><div class="ttdoc">Class for specifying the size of an image or rectangle. </div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00034">Size2D.h:34</a></div></div>
 156 <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_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_uint8_scale_by_fixed_point.xhtml">arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint</a></div><div class="ttdoc">Basic function to execute CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_lowp_output_stage_8h_source.xhtml#l00119">CLGEMMLowpOutputStage.h:119</a></div></div>
 157 <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#l00051">CLGEMMLowpMatrixMultiplyCore.h:51</a></div></div>
 158 <div class="ttc" id="classarm__compute_1_1_c_l_convolution_layer_reshape_weights_xhtml_a9a3d99b364c89f386250cc92dddc6b1b"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#a9a3d99b364c89f386250cc92dddc6b1b">arm_compute::CLConvolutionLayerReshapeWeights::configure</a></div><div class="ttdeci">void configure(const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output)</div><div class="ttdoc">Set the input and output tensors. </div></div>
 159 <div class="ttc" id="_c_l_g_e_m_m_transpose1x_w_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_g_e_m_m_transpose1x_w_kernel_8h.xhtml">CLGEMMTranspose1xWKernel.h</a></div></div>
 160 <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>
 161 <div class="ttc" id="classarm__compute_1_1_c_l_convolution_layer_reshape_weights_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLConvolutionLayerReshapeWeights::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function. </div></div>
 162 <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>
 163 <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>
 164 </div><!-- fragment --></div><!-- contents -->
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 168   <ul>
 169     <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_g_e_m_m_convolution_layer_8h.xhtml">CLGEMMConvolutionLayer.h</a></li>
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 172     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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