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 118   <div class="summary">
 119 <a href="#pub-methods">Public Member Functions</a>  </div>
 120   <div class="headertitle">
 121 <div class="title">IKernel Class Reference</div>  </div>
 122 </div><!--header-->
 123 <div class="contents">
 124
 125 <p>Common information for all the kernels.
 126  <a href="classarm__compute_1_1_i_kernel.xhtml#details">More...</a></p>
 127
 128 <p><code>#include &lt;<a class="el" href="_i_kernel_8h_source.xhtml">IKernel.h</a>&gt;</code></p>
 129 <table class="memberdecls">
 130 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
 131 Public Member Functions</h2></td></tr>
 132 <tr class="memitem:a7250cb8cbaa4104a93a2d77155085507"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">IKernel</a> ()</td></tr>
 133 <tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr>
 134 <tr class="separator:a7250cb8cbaa4104a93a2d77155085507"><td class="memSeparator" colspan="2">&#160;</td></tr>
 135 <tr class="memitem:a341b60d15a5e12a5b8f3825194dd3b12"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">~IKernel</a> ()=default</td></tr>
 136 <tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destructor.  <a href="#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr>
 137 <tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12"><td class="memSeparator" colspan="2">&#160;</td></tr>
 138 <tr class="memitem:abfab8f0d4928e1081d9f65b77933e24a"><td class="memItemLeft" align="right" valign="top">virtual bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#abfab8f0d4928e1081d9f65b77933e24a">is_parallelisable</a> () const </td></tr>
 139 <tr class="memdesc:abfab8f0d4928e1081d9f65b77933e24a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Indicates whether or not the kernel is parallelisable.  <a href="#abfab8f0d4928e1081d9f65b77933e24a">More...</a><br /></td></tr>
 140 <tr class="separator:abfab8f0d4928e1081d9f65b77933e24a"><td class="memSeparator" colspan="2">&#160;</td></tr>
 141 <tr class="memitem:aa6daa9b04e2035bf007e5e5c3c4396a8"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#aa6daa9b04e2035bf007e5e5c3c4396a8">border_size</a> () const </td></tr>
 142 <tr class="memdesc:aa6daa9b04e2035bf007e5e5c3c4396a8"><td class="mdescLeft">&#160;</td><td class="mdescRight">The size of the border for that kernel.  <a href="#aa6daa9b04e2035bf007e5e5c3c4396a8">More...</a><br /></td></tr>
 143 <tr class="separator:aa6daa9b04e2035bf007e5e5c3c4396a8"><td class="memSeparator" colspan="2">&#160;</td></tr>
 144 <tr class="memitem:a3f5646133956f06348b310ccc3d36353"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a> () const </td></tr>
 145 <tr class="memdesc:a3f5646133956f06348b310ccc3d36353"><td class="mdescLeft">&#160;</td><td class="mdescRight">The maximum window the kernel can be executed on.  <a href="#a3f5646133956f06348b310ccc3d36353">More...</a><br /></td></tr>
 146 <tr class="separator:a3f5646133956f06348b310ccc3d36353"><td class="memSeparator" colspan="2">&#160;</td></tr>
 147 </table>
 148 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 149 <div class="textblock"><p>Common information for all the kernels. </p>
 150
 151 <p>Definition at line <a class="el" href="_i_kernel_8h_source.xhtml#l00033">33</a> of file <a class="el" href="_i_kernel_8h_source.xhtml">IKernel.h</a>.</p>
 152 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 153 <a class="anchor" id="a7250cb8cbaa4104a93a2d77155085507"></a>
 154 <div class="memitem">
 155 <div class="memproto">
 156       <table class="memname">
 157         <tr>
 158           <td class="memname"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a> </td>
 159           <td>(</td>
 160           <td class="paramname"></td><td>)</td>
 161           <td></td>
 162         </tr>
 163       </table>
 164 </div><div class="memdoc">
 165
 166 <p>Constructor. </p>
 167
 168 </div>
 169 </div>
 170 <a class="anchor" id="a341b60d15a5e12a5b8f3825194dd3b12"></a>
 171 <div class="memitem">
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 174   <tr>
 175   <td class="mlabels-left">
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 177         <tr>
 178           <td class="memname">virtual ~<a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a> </td>
 179           <td>(</td>
 180           <td class="paramname"></td><td>)</td>
 181           <td></td>
 182         </tr>
 183       </table>
 184   </td>
 185   <td class="mlabels-right">
 186 <span class="mlabels"><span class="mlabel">virtual</span><span class="mlabel">default</span></span>  </td>
 187   </tr>
 188 </table>
 189 </div><div class="memdoc">
 190
 191 <p>Destructor. </p>
 192
 193 </div>
 194 </div>
 195 <h2 class="groupheader">Member Function Documentation</h2>
 196 <a class="anchor" id="aa6daa9b04e2035bf007e5e5c3c4396a8"></a>
 197 <div class="memitem">
 198 <div class="memproto">
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 200   <tr>
 201   <td class="mlabels-left">
 202       <table class="memname">
 203         <tr>
 204           <td class="memname">virtual <a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size </td>
 205           <td>(</td>
 206           <td class="paramname"></td><td>)</td>
 207           <td> const</td>
 208         </tr>
 209       </table>
 210   </td>
 211   <td class="mlabels-right">
 212 <span class="mlabels"><span class="mlabel">virtual</span></span>  </td>
 213   </tr>
 214 </table>
 215 </div><div class="memdoc">
 216
 217 <p>The size of the border for that kernel. </p>
 218 <dl class="section return"><dt>Returns</dt><dd>The width in number of elements of the border. </dd></dl>
 219
 220 <p>Reimplemented in <a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEConvolutionRectangleKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEEdgeTraceKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLConvolutionRectangleKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NESeparableConvolutionVertKernel&lt; matrix_size &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEEdgeNonMaxSuppressionKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLSeparableConvolutionVertKernel&lt; matrix_size &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NESeparableConvolutionHorKernel&lt; matrix_size &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NESobel7x7VertKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NESobel5x5VertKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLSobel5x5VertKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLSobel7x7VertKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NELKTrackerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLSeparableConvolutionHorKernel&lt; matrix_size &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussianPyramidVertKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLEdgeNonMaxSuppressionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEHarrisScoreKernel&lt; block_size &gt;</a>, <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLGaussianPyramidVertKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLDirectConvolutionLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEPixelWiseMultiplicationKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEArithmeticAdditionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEScaleKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDirectConvolutionLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDepthwiseConvolutionLayer3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLPixelWiseMultiplicationKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NENormalizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussian5x5VertKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEReductionOperationKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLScharr3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEConvolutionKernel&lt; matrix_size &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEPoolingLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEScharr3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NESobel3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLArithmeticAdditionKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLReductionOperationKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLWinogradInputTransformKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLHarrisScoreKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLPoolingLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLFastCornersKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCPoolingLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLDepthwiseConvolutionLayer3x3NCHWKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLDepthwiseConvolutionLayer3x3NHWCKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEMeanStdDevKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDepthConcatenateLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLNormalizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NENonMaximaSuppression3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NESobel5x5HorKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NESobel7x7HorKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NENonLinearFilterKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLDepthConcatenateLayerKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCDepthConcatenateLayerKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCDirectConvolutionLayerKernel&lt; kernel_size &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEFastCornersKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NERemapKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLConvolutionKernel&lt; matrix_size &gt;</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLGEMMMatrixVectorMultiplyKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLMeanStdDevKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_derivative_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDerivativeKernel</a>, <a class="el" href="classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">INEWarpKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLSobel5x5HorKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLSobel7x7HorKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCNormalizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussianPyramidHorKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_derivative_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLDerivativeKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLSobel3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCDepthwiseConvolutionLayer3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_c_l_remap_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLRemapKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGEMMMatrixVectorMultiplyKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NELogits1DMaxKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLGaussianPyramidHorKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_non_linear_filter_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLNonLinearFilterKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussian5x5HorKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">GCScaleKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussian3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEMedian3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_c_l_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLScaleKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEBox3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_dilate_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDilateKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_erode_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEErodeKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEIntegralImageKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_non_maxima_suppression3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLNonMaximaSuppression3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_c_l_box3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLBox3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_c_l_dilate_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLDilateKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_erode_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLErodeKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_gaussian3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLGaussian3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_c_l_median3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLMedian3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_c_l_warp_affine_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLWarpAffineKernel</a>, and <a class="el" href="classarm__compute_1_1_c_l_warp_perspective_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLWarpPerspectiveKernel</a>.</p>
 221
 222 <p>Referenced by <a class="el" href="_n_e_fill_border_kernel_8h_source.xhtml#l00039">NEFillBorderKernel::name()</a>, <a class="el" href="_n_e_fill_inner_border_kernel_8h_source.xhtml#l00039">NEFillInnerBorderKernel::name()</a>, <a class="el" href="_n_e_harris_corners_kernel_8h_source.xhtml#l00087">NEHarrisScoreKernel&lt; block_size &gt;::name()</a>, <a class="el" href="_n_e_canny_edge_kernel_8h_source.xhtml#l00116">NEEdgeNonMaxSuppressionKernel::name()</a>, and <a class="el" href="_n_e_canny_edge_kernel_8h_source.xhtml#l00173">NEEdgeTraceKernel::name()</a>.</p>
 223
 224 </div>
 225 </div>
 226 <a class="anchor" id="abfab8f0d4928e1081d9f65b77933e24a"></a>
 227 <div class="memitem">
 228 <div class="memproto">
 229 <table class="mlabels">
 230   <tr>
 231   <td class="mlabels-left">
 232       <table class="memname">
 233         <tr>
 234           <td class="memname">virtual bool is_parallelisable </td>
 235           <td>(</td>
 236           <td class="paramname"></td><td>)</td>
 237           <td> const</td>
 238         </tr>
 239       </table>
 240   </td>
 241   <td class="mlabels-right">
 242 <span class="mlabels"><span class="mlabel">virtual</span></span>  </td>
 243   </tr>
 244 </table>
 245 </div><div class="memdoc">
 246
 247 <p>Indicates whether or not the kernel is parallelisable. </p>
 248 <p>If the kernel is parallelisable then the window returned by <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353" title="The maximum window the kernel can be executed on. ">window()</a> can be split into sub-windows which can then be run in parallel.</p>
 249 <p>If the kernel is not parallelisable then only the window returned by <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353" title="The maximum window the kernel can be executed on. ">window()</a> can be passed to run()</p>
 250 <dl class="section return"><dt>Returns</dt><dd>True if the kernel is parallelisable </dd></dl>
 251
 252 <p>Reimplemented in <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283">NEWinogradLayerTransformWeightsKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283">NEEdgeTraceKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283">NEMinMaxLocationKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283">NEChannelCombineKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283">NECumulativeDistributionKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283">CLFillBorderKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283">GCFillBorderKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283">NEFillArrayKernel</a>, <a class="el" href="classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283">CPPDetectionWindowNonMaximaSuppressionKernel</a>, <a class="el" href="classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283">CPPUpsampleKernel</a>, <a class="el" href="classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283">CPPSortEuclideanDistanceKernel</a>, and <a class="el" href="classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283">NEIntegralImageKernel</a>.</p>
 253
 254 <p>Referenced by <a class="el" href="_n_e_min_max_location_kernel_8h_source.xhtml#l00109">NEMinMaxLocationKernel::name()</a>, <a class="el" href="_n_e_canny_edge_kernel_8h_source.xhtml#l00173">NEEdgeTraceKernel::name()</a>, and <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00383">NEWinogradLayerTransformWeightsKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;::name()</a>.</p>
 255
 256 </div>
 257 </div>
 258 <a class="anchor" id="a3f5646133956f06348b310ccc3d36353"></a>
 259 <div class="memitem">
 260 <div class="memproto">
 261       <table class="memname">
 262         <tr>
 263           <td class="memname">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a>&amp; window </td>
 264           <td>(</td>
 265           <td class="paramname"></td><td>)</td>
 266           <td> const</td>
 267         </tr>
 268       </table>
 269 </div><div class="memdoc">
 270
 271 <p>The maximum window the kernel can be executed on. </p>
 272 <dl class="section return"><dt>Returns</dt><dd>The maximum window the kernel can be executed on. </dd></dl>
 273
 274 <p>Referenced by <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00088">ICLKernel::add_1D_array_argument()</a>, <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00098">ICLKernel::add_1D_tensor_argument()</a>, <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00108">ICLKernel::add_2D_tensor_argument()</a>, <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00118">ICLKernel::add_3D_tensor_argument()</a>, <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00128">ICLKernel::add_4D_tensor_argument()</a>, <a class="el" href="_c_l_2_fill_border_8cpp_source.xhtml#l00052">arm_compute::test::validation::DATA_TEST_CASE()</a>, <a class="el" href="_i_g_c_kernel_8h_source.xhtml#l00122">IGCKernel::get_target()</a>, <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00245">ICLKernel::get_target()</a>, <a class="el" href="_n_e_g_e_m_m_matrix_accumulate_biases_kernel_8h_source.xhtml#l00036">NEGEMMMatrixAccumulateBiasesKernel::name()</a>, <a class="el" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8h_source.xhtml#l00037">NEGEMMMatrixVectorMultiplyKernel::name()</a>, <a class="el" href="_n_e_integral_image_kernel_8h_source.xhtml#l00037">NEIntegralImageKernel::name()</a>, <a class="el" href="_n_e_l2_normalize_layer_kernel_8h_source.xhtml#l00037">NEL2NormalizeLayerKernel::name()</a>, <a class="el" href="_n_e_locally_connected_matrix_multiply_kernel_8h_source.xhtml#l00037">NELocallyConnectedMatrixMultiplyKernel::name()</a>, <a class="el" href="_n_e_median3x3_kernel_8h_source.xhtml#l00037">NEMedian3x3Kernel::name()</a>, <a class="el" href="_n_e_pooling_layer_kernel_8h_source.xhtml#l00037">NEPoolingLayerKernel::name()</a>, <a class="el" href="_n_e_dilate_kernel_8h_source.xhtml#l00037">NEDilateKernel::name()</a>, <a class="el" href="_n_e_direct_convolution_layer_kernel_8h_source.xhtml#l00037">NEDirectConvolutionLayerKernel::name()</a>, <a class="el" href="_n_e_reduction_operation_kernel_8h_source.xhtml#l00037">NEReductionOperationKernel::name()</a>, <a class="el" href="_n_e_reshape_layer_kernel_8h_source.xhtml#l00037">NEReshapeLayerKernel::name()</a>, <a class="el" href="_n_e_erode_kernel_8h_source.xhtml#l00037">NEErodeKernel::name()</a>, <a class="el" href="_n_e_box3x3_kernel_8h_source.xhtml#l00037">NEBox3x3Kernel::name()</a>, <a class="el" href="_n_e_gaussian3x3_kernel_8h_source.xhtml#l00037">NEGaussian3x3Kernel::name()</a>, <a class="el" href="_n_e_floor_kernel_8h_source.xhtml#l00037">NEFloorKernel::name()</a>, <a class="el" href="_n_e_gaussian5x5_kernel_8h_source.xhtml#l00037">NEGaussian5x5HorKernel::name()</a>, <a class="el" href="_n_e_gaussian_pyramid_kernel_8h_source.xhtml#l00037">NEGaussianPyramidHorKernel::name()</a>, <a class="el" href="_n_e_arithmetic_addition_kernel_8h_source.xhtml#l00038">NEArithmeticAdditionKernel::name()</a>, <a class="el" href="_n_e_arithmetic_subtraction_kernel_8h_source.xhtml#l00038">NEArithmeticSubtractionKernel::name()</a>, <a class="el" href="_n_e_batch_normalization_layer_kernel_8h_source.xhtml#l00038">NEBatchNormalizationLayerKernel::name()</a>, <a class="el" href="_n_e_normalization_layer_kernel_8h_source.xhtml#l00038">NENormalizationLayerKernel::name()</a>, <a class="el" href="_n_e_pixel_wise_multiplication_kernel_8h_source.xhtml#l00038">NEPixelWiseMultiplicationKernel::name()</a>, <a class="el" href="_n_e_remap_kernel_8h_source.xhtml#l00038">NERemapKernel::name()</a>, <a class="el" href="_n_e_scale_kernel_8h_source.xhtml#l00038">NEScaleKernel::name()</a>, <a class="el" href="_n_e_softmax_layer_kernel_8h_source.xhtml#l00038">NELogits1DMaxKernel::name()</a>, <a class="el" href="_n_e_table_lookup_kernel_8h_source.xhtml#l00038">NETableLookupKernel::name()</a>, <a class="el" href="_n_e_color_convert_kernel_8h_source.xhtml#l00039">NEColorConvertKernel::name()</a>, <a class="el" href="_n_e_h_o_g_descriptor_kernel_8h_source.xhtml#l00039">NEHOGOrientationBinningKernel::name()</a>, <a class="el" href="_n_e_fill_border_kernel_8h_source.xhtml#l00039">NEFillBorderKernel::name()</a>, <a class="el" href="_n_e_magnitude_phase_kernel_8h_source.xhtml#l00039">NEMagnitudePhaseKernel&lt; mag_type, phase_type &gt;::name()</a>, <a class="el" href="_c_p_p_sort_euclidean_distance_kernel_8h_source.xhtml#l00039">CPPSortEuclideanDistanceKernel::name()</a>, <a class="el" href="_n_e_derivative_kernel_8h_source.xhtml#l00039">NEDerivativeKernel::name()</a>, <a class="el" href="_n_e_sobel5x5_kernel_8h_source.xhtml#l00039">NESobel5x5HorKernel::name()</a>, <a class="el" href="_n_e_r_o_i_pooling_layer_kernel_8h_source.xhtml#l00039">NEROIPoolingLayerKernel::name()</a>, <a class="el" href="_n_e_direct_convolution_layer_output_stage_kernel_8h_source.xhtml#l00039">NEDirectConvolutionLayerOutputStageKernel::name()</a>, <a class="el" href="_n_e_sobel7x7_kernel_8h_source.xhtml#l00039">NESobel7x7HorKernel::name()</a>, <a class="el" href="_c_p_p_upsample_kernel_8h_source.xhtml#l00039">CPPUpsampleKernel::name()</a>, <a class="el" href="_n_e_canny_edge_kernel_8h_source.xhtml#l00039">NEGradientKernel::name()</a>, <a class="el" href="_n_e_fill_inner_border_kernel_8h_source.xhtml#l00039">NEFillInnerBorderKernel::name()</a>, <a class="el" href="_n_e_h_o_g_detector_kernel_8h_source.xhtml#l00040">NEHOGDetectorKernel::name()</a>, <a class="el" href="_n_e_depth_concatenate_layer_kernel_8h_source.xhtml#l00040">NEDepthConcatenateLayerKernel::name()</a>, <a class="el" href="_c_p_p_permute_kernel_8h_source.xhtml#l00040">CPPPermuteKernel::name()</a>, <a class="el" href="_n_e_permute_kernel_8h_source.xhtml#l00040">NEPermuteKernel::name()</a>, <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml#l00040">NEDepthwiseConvolutionLayer3x3Kernel::name()</a>, <a class="el" href="_n_e_non_linear_filter_kernel_8h_source.xhtml#l00040">NENonLinearFilterKernel::name()</a>, <a class="el" href="_n_e_depthwise_weights_reshape_kernel_8h_source.xhtml#l00040">NEDepthwiseWeightsReshapeKernel::name()</a>, <a class="el" href="_n_e_depth_convert_layer_kernel_8h_source.xhtml#l00040">NEDepthConvertLayerKernel::name()</a>, <a class="el" href="_n_e_mean_std_dev_kernel_8h_source.xhtml#l00041">NEMeanStdDevKernel::name()</a>, <a class="el" href="_n_e_fast_corners_kernel_8h_source.xhtml#l00041">NEFastCornersKernel::name()</a>, <a class="el" href="_n_e_depthwise_im2_col_kernel_8h_source.xhtml#l00041">NEDepthwiseIm2ColKernel::name()</a>, <a class="el" href="_n_e_bitwise_and_kernel_8h_source.xhtml#l00041">NEBitwiseAndKernel::name()</a>, <a class="el" href="_n_e_dequantization_layer_kernel_8h_source.xhtml#l00041">NEDequantizationLayerKernel::name()</a>, <a class="el" href="_n_e_bitwise_not_kernel_8h_source.xhtml#l00041">NEBitwiseNotKernel::name()</a>, <a class="el" href="_n_e_min_max_layer_kernel_8h_source.xhtml#l00041">NEMinMaxLayerKernel::name()</a>, <a class="el" href="_n_e_bitwise_xor_kernel_8h_source.xhtml#l00041">NEBitwiseXorKernel::name()</a>, <a class="el" href="_n_e_transpose_kernel_8h_source.xhtml#l00041">NETransposeKernel::name()</a>, <a class="el" href="_n_e_quantization_layer_kernel_8h_source.xhtml#l00041">NEQuantizationLayerKernel::name()</a>, <a class="el" href="_n_e_absolute_difference_kernel_8h_source.xhtml#l00041">NEAbsoluteDifferenceKernel::name()</a>, <a class="el" href="_n_e_bitwise_or_kernel_8h_source.xhtml#l00041">NEBitwiseOrKernel::name()</a>, <a class="el" href="_n_e_g_e_m_m_matrix_multiply_kernel_8h_source.xhtml#l00042">NEGEMMMatrixMultiplyKernel::name()</a>, <a class="el" href="_c_p_p_detection_window_non_maxima_suppression_kernel_8h_source.xhtml#l00042">CPPDetectionWindowNonMaximaSuppressionKernel::name()</a>, <a class="el" href="_n_e_threshold_kernel_8h_source.xhtml#l00042">NEThresholdKernel::name()</a>, <a class="el" href="_n_e_fill_array_kernel_8h_source.xhtml#l00042">NEFillArrayKernel::name()</a>, <a class="el" href="_n_e_non_maxima_suppression3x3_kernel_8h_source.xhtml#l00042">NENonMaximaSuppression3x3Kernel::name()</a>, <a class="el" href="_n_e_min_max_location_kernel_8h_source.xhtml#l00042">NEMinMaxKernel::name()</a>, <a class="el" href="_n_e_channel_combine_kernel_8h_source.xhtml#l00042">NEChannelCombineKernel::name()</a>, <a class="el" href="_n_e_channel_extract_kernel_8h_source.xhtml#l00042">NEChannelExtractKernel::name()</a>, <a class="el" href="_n_e_activation_layer_kernel_8h_source.xhtml#l00043">NEActivationLayerKernel::name()</a>, <a class="el" href="_n_e_histogram_kernel_8h_source.xhtml#l00043">NEHistogramKernel::name()</a>, <a class="el" href="_n_e_depthwise_vector_to_tensor_kernel_8h_source.xhtml#l00043">NEDepthwiseVectorToTensorKernel::name()</a>, <a class="el" href="_n_e_accumulate_kernel_8h_source.xhtml#l00043">NEAccumulateKernel::name()</a>, <a class="el" href="_c_p_p_corner_candidates_kernel_8h_source.xhtml#l00044">CPPCornerCandidatesKernel::name()</a>, <a class="el" href="_n_e_convert_fully_connected_weights_kernel_8h_source.xhtml#l00044">NEConvertFullyConnectedWeightsKernel::name()</a>, <a class="el" href="_n_e_g_e_m_m_matrix_addition_kernel_8h_source.xhtml#l00044">NEGEMMMatrixAdditionKernel::name()</a>, <a class="el" href="_n_e_g_e_m_m_lowp_matrix_multiply_kernel_8h_source.xhtml#l00046">NEGEMMLowpMatrixMultiplyKernel::name()</a>, <a class="el" href="_n_e_scharr3x3_kernel_8h_source.xhtml#l00046">NEScharr3x3Kernel::name()</a>, <a class="el" href="_n_e_sobel3x3_kernel_8h_source.xhtml#l00046">NESobel3x3Kernel::name()</a>, <a class="el" href="_n_e_cumulative_distribution_kernel_8h_source.xhtml#l00047">NECumulativeDistributionKernel::name()</a>, <a class="el" href="_n_e_g_e_m_m_lowp_offset_contribution_kernel_8h_source.xhtml#l00049">NEGEMMLowpOffsetContributionKernel::name()</a>, <a class="el" href="_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel_8h_source.xhtml#l00049">NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::name()</a>, <a class="el" href="_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel_8h_source.xhtml#l00049">NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::name()</a>, <a class="el" href="_n_e_g_e_m_m_interleave4x4_kernel_8h_source.xhtml#l00055">NEGEMMInterleave4x4Kernel::name()</a>, <a class="el" href="_n_e_col2_im_kernel_8h_source.xhtml#l00056">NECol2ImKernel::name()</a>, <a class="el" href="_n_e_convolution_kernel_8h_source.xhtml#l00058">NEConvolutionKernel&lt; matrix_size &gt;::name()</a>, <a class="el" href="_n_e_weights_reshape_kernel_8h_source.xhtml#l00059">NEWeightsReshapeKernel::name()</a>, <a class="el" href="_n_e_im2_col_kernel_8h_source.xhtml#l00060">NEIm2ColKernel::name()</a>, <a class="el" href="_n_e_gaussian5x5_kernel_8h_source.xhtml#l00064">NEGaussian5x5VertKernel::name()</a>, <a class="el" href="_n_e_accumulate_kernel_8h_source.xhtml#l00070">NEAccumulateWeightedKernel::name()</a>, <a class="el" href="_n_e_g_e_m_m_transpose1x_w_kernel_8h_source.xhtml#l00071">NEGEMMTranspose1xWKernel::name()</a>, <a class="el" href="_n_e_g_e_m_m_lowp_reduction_kernel_8h_source.xhtml#l00072">NEGEMMLowpMatrixAReductionKernel::name()</a>, <a class="el" href="_n_e_gaussian_pyramid_kernel_8h_source.xhtml#l00073">NEGaussianPyramidVertKernel::name()</a>, <a class="el" href="_n_e_softmax_layer_kernel_8h_source.xhtml#l00075">NELogits1DSoftmaxKernel::name()</a>, <a class="el" href="_n_e_sobel5x5_kernel_8h_source.xhtml#l00086">NESobel5x5VertKernel::name()</a>, <a class="el" href="_n_e_sobel7x7_kernel_8h_source.xhtml#l00086">NESobel7x7VertKernel::name()</a>, <a class="el" href="_n_e_harris_corners_kernel_8h_source.xhtml#l00087">NEHarrisScoreKernel&lt; block_size &gt;::name()</a>, <a class="el" href="_n_e_h_o_g_descriptor_kernel_8h_source.xhtml#l00098">NEHOGBlockNormalizationKernel::name()</a>, <a class="el" href="_n_e_convolution_kernel_8h_source.xhtml#l00105">NESeparableConvolutionHorKernel&lt; matrix_size &gt;::name()</a>, <a class="el" href="_n_e_g_e_m_m_lowp_reduction_kernel_8h_source.xhtml#l00107">NEGEMMLowpMatrixBReductionKernel::name()</a>, <a class="el" href="_n_e_min_max_location_kernel_8h_source.xhtml#l00109">NEMinMaxLocationKernel::name()</a>, <a class="el" href="_n_e_canny_edge_kernel_8h_source.xhtml#l00116">NEEdgeNonMaxSuppressionKernel::name()</a>, <a class="el" href="_n_e_accumulate_kernel_8h_source.xhtml#l00118">NEAccumulateSquaredKernel::name()</a>, <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00120">NEWinogradLayerTransformInputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;::name()</a>, <a class="el" href="_n_e_convolution_kernel_8h_source.xhtml#l00149">NESeparableConvolutionVertKernel&lt; matrix_size &gt;::name()</a>, <a class="el" href="_n_e_canny_edge_kernel_8h_source.xhtml#l00173">NEEdgeTraceKernel::name()</a>, <a class="el" href="_n_e_convolution_kernel_8h_source.xhtml#l00215">NEConvolutionRectangleKernel::name()</a>, <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00238">NEWinogradLayerTransformOutputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;::name()</a>, <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00383">NEWinogradLayerTransformWeightsKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;::name()</a>, <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00473">NEWinogradLayerBatchedGEMMKernel&lt; TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;::name()</a>, and <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00168">ICLKernel::num_arguments_per_4D_tensor()</a>.</p>
 275
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 278 <hr/>The documentation for this class was generated from the following file:<ul>
 279 <li>arm_compute/core/<a class="el" href="_i_kernel_8h_source.xhtml">IKernel.h</a></li>
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