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 <div class="header">
   <div class="summary">
 <a href="#pub-methods">Public Member Functions</a>  </div>
   <div class="headertitle">
 <div class="title">IKernel Class Reference</div>  </div>
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 <p>Common information for all the kernels.
  <a href="classarm__compute_1_1_i_kernel.xhtml#details">More...</a></p>

 <p><code>#include &lt;<a class="el" href="_i_kernel_8h_source.xhtml">IKernel.h</a>&gt;</code></p>
 <table class="memberdecls">
 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
 Public Member Functions</h2></td></tr>
 <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>
 <tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr>
 <tr class="separator:a7250cb8cbaa4104a93a2d77155085507"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <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>
 <tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destructor.  <a href="#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr>
 <tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <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>
 <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>
 <tr class="separator:abfab8f0d4928e1081d9f65b77933e24a"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <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>
 <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>
 <tr class="separator:aa6daa9b04e2035bf007e5e5c3c4396a8"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <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>
 <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>
 <tr class="separator:a3f5646133956f06348b310ccc3d36353"><td class="memSeparator" colspan="2">&#160;</td></tr>
 </table>
 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 <div class="textblock"><p>Common information for all the kernels. </p>

 <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>
 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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           <td class="memname"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a> </td>
           <td>(</td>
           <td class="paramname"></td><td>)</td>
           <td></td>
         </tr>
       </table>
 </div><div class="memdoc">

 <p>Constructor. </p>

 </div>
 </div>
 <a class="anchor" id="a341b60d15a5e12a5b8f3825194dd3b12"></a>
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 <div class="memproto">
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           <td class="memname">virtual ~<a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a> </td>
           <td>(</td>
           <td class="paramname"></td><td>)</td>
           <td></td>
         </tr>
       </table>
   </td>
   <td class="mlabels-right">
 <span class="mlabels"><span class="mlabel">virtual</span><span class="mlabel">default</span></span>  </td>
   </tr>
 </table>
 </div><div class="memdoc">

 <p>Destructor. </p>

 </div>
 </div>
 <h2 class="groupheader">Member Function Documentation</h2>
 <a class="anchor" id="aa6daa9b04e2035bf007e5e5c3c4396a8"></a>
 <div class="memitem">
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           <td class="memname">virtual <a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size </td>
           <td>(</td>
           <td class="paramname"></td><td>)</td>
           <td> const</td>
         </tr>
       </table>
   </td>
   <td class="mlabels-right">
 <span class="mlabels"><span class="mlabel">virtual</span></span>  </td>
   </tr>
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 </div><div class="memdoc">

 <p>The size of the border for that kernel. </p>
 <dl class="section return"><dt>Returns</dt><dd>The width in number of elements of the border. </dd></dl>

 <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_harris_score_f_p16_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEHarrisScoreFP16Kernel&lt; block_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_c_l_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLSeparableConvolutionHorKernel&lt; matrix_size &gt;</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_l_k_tracker_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NELKTrackerKernel</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_n_e_gaussian_pyramid_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussianPyramidVertKernel</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_scharr3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLScharr3x3Kernel</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_fast_corners_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLFastCornersKernel</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_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_n_e_gaussian5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussian5x5VertKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLDepthConcatenateKernel</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_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLConvolutionKernel&lt; matrix_size &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDepthConcatenateKernel</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_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_n_e_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDirectConvolutionLayerKernel</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_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NENormalizationLayerKernel</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_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLNormalizationLayerKernel</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_n_e_derivative_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDerivativeKernel</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_c_l_gaussian_pyramid_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLGaussianPyramidHorKernel</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_n_e_gaussian_pyramid_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussianPyramidHorKernel</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_c_l_non_linear_filter_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLNonLinearFilterKernel</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_gaussian5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEGaussian5x5HorKernel</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_n_e_logits1_d_max_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NELogits1DMaxKernel</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>, <a class="el" href="classarm__compute_1_1_c_l_warp_perspective_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">CLWarpPerspectiveKernel</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_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>, and <a class="el" href="classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEIntegralImageKernel</a>.</p>

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           <td class="memname">virtual bool is_parallelisable </td>
           <td>(</td>
           <td class="paramname"></td><td>)</td>
           <td> const</td>
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 <p>Indicates whether or not the kernel is parallelisable. </p>
 <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>
 <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>
 <dl class="section return"><dt>Returns</dt><dd>True if the kernel is parallelisable </dd></dl>

 <p>Reimplemented in <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_c_l_fill_border_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283">CLFillBorderKernel</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_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_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>

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           <td class="memname">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a>&amp; window </td>
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 <p>The maximum window the kernel can be executed on. </p>
 <dl class="section return"><dt>Returns</dt><dd>The maximum window the kernel can be executed on. </dd></dl>

 <p>Referenced by <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00097">ICLKernel::add_argument()</a>.</p>

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 <hr/>The documentation for this class was generated from the following file:<ul>
 <li>arm_compute/core/<a class="el" href="_i_kernel_8h_source.xhtml">IKernel.h</a></li>
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