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<a href="#define-members">Macros</a> &#124;
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<div class="title">convolution_rectangle.cl File Reference</div> </div>
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<div class="textblock"><code>#include &quot;<a class="el" href="convolution3x3_8cl_source.xhtml">convolution3x3.cl</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="convolution5x5_8cl_source.xhtml">convolution5x5.cl</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="convolution7x7_8cl_source.xhtml">convolution7x7.cl</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="convolution9x9_8cl_source.xhtml">convolution9x9.cl</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml">helpers.h</a>&quot;</code><br />
</div>
<p><a href="convolution__rectangle_8cl_source.xhtml">Go to the source code of this file.</a></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="define-members"></a>
Macros</h2></td></tr>
<tr class="memitem:a61020724430287ed1cd963e312ca47d2"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="convolution__rectangle_8cl.xhtml#a61020724430287ed1cd963e312ca47d2">MAT_INDEX</a>(i)&#160;&#160;&#160;MAT##i</td></tr>
<tr class="separator:a61020724430287ed1cd963e312ca47d2"><td class="memSeparator" colspan="2">&#160;</td></tr>
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Functions</h2></td></tr>
<tr class="memitem:aef481f37792858a126de9374b10df7ea"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="convolution__rectangle_8cl.xhtml#aef481f37792858a126de9374b10df7ea">convolution_rectangle</a> (__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_stride_y, uint dst_step_y, uint dst_offset_first_element_in_bytes)</td></tr>
<tr class="memdesc:aef481f37792858a126de9374b10df7ea"><td class="mdescLeft">&#160;</td><td class="mdescRight">Apply a rectangle matrix to a single channel U8 input image and output a single channel image including borders. <a href="#aef481f37792858a126de9374b10df7ea">More...</a><br /></td></tr>
<tr class="separator:aef481f37792858a126de9374b10df7ea"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<h2 class="groupheader">Macro Definition Documentation</h2>
<a id="a61020724430287ed1cd963e312ca47d2"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a61020724430287ed1cd963e312ca47d2">&#9670;&nbsp;</a></span>MAT_INDEX</h2>
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<td class="memname">#define MAT_INDEX</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">i</td><td>)</td>
<td>&#160;&#160;&#160;MAT##i</td>
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<p class="definition">Definition at line <a class="el" href="convolution__rectangle_8cl_source.xhtml#l00030">30</a> of file <a class="el" href="convolution__rectangle_8cl_source.xhtml">convolution_rectangle.cl</a>.</p>
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<h2 class="groupheader">Function Documentation</h2>
<a id="aef481f37792858a126de9374b10df7ea"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aef481f37792858a126de9374b10df7ea">&#9670;&nbsp;</a></span>convolution_rectangle()</h2>
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<tr>
<td class="memname">__kernel void convolution_rectangle </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>src_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>src_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>dst_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>dst_offset_first_element_in_bytes</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Apply a rectangle matrix to a single channel U8 input image and output a single channel image including borders. </p>
<dl class="section attention"><dt>Attention</dt><dd>The matrix coefficients(MAT0, MAT1, ... MAT80, SCALE), MATRIX_WIDTH, MATRIX_HEIGHT, COMPUTE_TYPE, DATA_TYPE, DATA_TYPE_OUT need to be passed at compile time:<br />
e.g. -DMAT0=0 -DMAT1=1, ... -DMAT80=80, -DSCALE=6, -DMATRIX_WIDTH=3, -DMATRIX_HEIGHT=5, -DCOMPUTE_TYPE=int, -DDATA_TYPE=int, -DDATA_TYPE_OUT=int</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">src_ptr</td><td>Pointer to the source image. Supported data types: U8 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">src_stride_x</td><td>Stride of the source image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">src_step_x</td><td>src_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">src_stride_y</td><td>Stride of the source image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">src_step_y</td><td>src_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">src_offset_first_element_in_bytes</td><td>The offset of the first element in the source image </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">dst_ptr</td><td>Pointer to the destination image. Supported data types: U8, S16 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">dst_stride_x</td><td>Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">dst_step_x</td><td>dst_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">dst_stride_y</td><td>Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">dst_step_y</td><td>dst_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">dst_offset_first_element_in_bytes</td><td>The offset of the first element in the destination image </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="convolution__rectangle_8cl_source.xhtml#l00064">64</a> of file <a class="el" href="convolution__rectangle_8cl_source.xhtml">convolution_rectangle.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;{</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keywordtype">short</span> matrix_coeff[81] =</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; MAT0, MAT1, MAT2, MAT3, MAT4, MAT5, MAT6, MAT7, MAT8,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; MAT9, MAT10, MAT11, MAT12, MAT13, MAT14, MAT15, MAT16, MAT17,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; MAT18, MAT19, MAT20, MAT21, MAT22, MAT23, MAT24, MAT25, MAT26,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; MAT27, MAT28, MAT29, MAT30, MAT31, MAT32, MAT33, MAT34, MAT35,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; MAT36, MAT37, MAT38, MAT39, MAT40, MAT41, MAT42, MAT43, MAT44,</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; MAT45, MAT46, MAT47, MAT48, MAT49, MAT50, MAT51, MAT52, MAT53,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; MAT54, MAT55, MAT56, MAT57, MAT58, MAT59, MAT60, MAT61, MAT62,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; MAT63, MAT64, MAT65, MAT66, MAT67, MAT68, MAT69, MAT70, MAT71,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; MAT72, MAT73, MAT74, MAT75, MAT76, MAT77, MAT78, MAT79, MAT80</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="l00084"></a><span class="lineno"> 84</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; pixels = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8))0;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0886942393a3ba0dfefaa7516b159784">for</a>(<span class="keywordtype">int</span> i = 0; i &lt; MATRIX_HEIGHT; i++)</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; {</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;<span class="preprocessor">#if MATRIX_WIDTH == 3</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; pixels += <a class="code" href="convolution3x3_8cl.xhtml#a92702074338198e81a46c3e309d9b04f">convolution1x3</a>(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, -1, -(MATRIX_HEIGHT / 2) + i), matrix_coeff[0 + i * 3], matrix_coeff[1 + i * 3],</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; matrix_coeff[2 + i * 3]);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* MATRIX_WIDTH */</span><span class="preprocessor"></span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;<span class="preprocessor">#if MATRIX_WIDTH == 5</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; pixels += <a class="code" href="convolution5x5_8cl.xhtml#abd315efadde56274531a8b2bdb43f688">convolution1x5</a>(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, -2, -(MATRIX_HEIGHT / 2) + i), matrix_coeff[0 + i * 5], matrix_coeff[1 + i * 5],</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; matrix_coeff[2 + i * 5], matrix_coeff[3 + i * 5], matrix_coeff[4 + i * 5]);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* MATRIX_WIDTH */</span><span class="preprocessor"></span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;<span class="preprocessor">#if MATRIX_WIDTH == 7</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; pixels += <a class="code" href="convolution7x7_8cl.xhtml#a7cedca46bfb1e16a870477a88ce93b9c">convolution1x7</a>(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, -3, -(MATRIX_HEIGHT / 2) + i), matrix_coeff[0 + i * 7], matrix_coeff[1 + i * 7],</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; matrix_coeff[2 + i * 7], matrix_coeff[3 + i * 7], matrix_coeff[4 + i * 7],</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; matrix_coeff[5 + i * 7], matrix_coeff[6 + i * 7]);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* MATRIX_WIDTH */</span><span class="preprocessor"></span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;<span class="preprocessor">#if MATRIX_WIDTH == 9</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; pixels += <a class="code" href="convolution9x9_8cl.xhtml#a4dee2ac27c2b32072c6f88998be20f77">convolution1x9</a>(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, -4, -(MATRIX_HEIGHT / 2) + i), matrix_coeff[0 + i * 9], matrix_coeff[1 + i * 9],</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; matrix_coeff[2 + i * 9], matrix_coeff[3 + i * 9], matrix_coeff[4 + i * 9],</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; matrix_coeff[5 + i * 9], matrix_coeff[6 + i * 9], matrix_coeff[7 + i * 9], matrix_coeff[8 + i * 9]);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* MATRIX_WIDTH */</span><span class="preprocessor"></span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; }</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; pixels /= (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8))SCALE;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="comment">// Store the result as is in dst</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; vstore8(<a class="code" href="direct__convolution1x1_8cl.xhtml#a1f15728672380ade7a238f5e783d54d2">CONVERT_SAT</a>(pixels, <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a>, 8)), 0, ((__global <a class="code" href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr));</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;}</div><div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00510">helpers.h:510</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_aebe814363556c244be043b13e7969197"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_IMAGE_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00311">helpers.h:311</a></div></div>
<div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div>
<div class="ttc" id="convolution9x9_8cl_xhtml_a4dee2ac27c2b32072c6f88998be20f77"><div class="ttname"><a href="convolution9x9_8cl.xhtml#a4dee2ac27c2b32072c6f88998be20f77">convolution1x9</a></div><div class="ttdeci">short8 convolution1x9(__global const uchar *left_pixel, const short left1_coeff, const short left2_coeff, const short left3_coeff, const short left4_coeff, const short middle_coeff, const short right1_coeff, const short right2_coeff, const short right3_coeff, const short right4_coeff)</div><div class="ttdoc">Compute a 1D horizontal convolution of size 9 for 8 bytes assuming the input is made of 1 channel of ...</div><div class="ttdef"><b>Definition:</b> <a href="convolution9x9_8cl_source.xhtml#l00054">convolution9x9.cl:54</a></div></div>
<div class="ttc" id="direct__convolution1x1_8cl_xhtml_a1f15728672380ade7a238f5e783d54d2"><div class="ttname"><a href="direct__convolution1x1_8cl.xhtml#a1f15728672380ade7a238f5e783d54d2">CONVERT_SAT</a></div><div class="ttdeci">#define CONVERT_SAT(a, b)</div><div class="ttdef"><b>Definition:</b> <a href="direct__convolution1x1_8cl_source.xhtml#l00030">direct_convolution1x1.cl:30</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a0886942393a3ba0dfefaa7516b159784"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a0886942393a3ba0dfefaa7516b159784">arm_compute::test::validation::for</a></div><div class="ttdeci">for(size_t k=0;k&lt; _target.size();++k)</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_unstack_8cpp_source.xhtml#l00091">Unstack.cpp:91</a></div></div>
<div class="ttc" id="convolution5x5_8cl_xhtml_abd315efadde56274531a8b2bdb43f688"><div class="ttname"><a href="convolution5x5_8cl.xhtml#abd315efadde56274531a8b2bdb43f688">convolution1x5</a></div><div class="ttdeci">short8 convolution1x5(__global const uchar *left_pixel, const short left1_coeff, const short left2_coeff, const short middle_coeff, const short right1_coeff, const short right2_coeff)</div><div class="ttdoc">Compute a 1D horizontal convolution of size 5 for 8 bytes assuming the input is made of 1 channel of ...</div><div class="ttdef"><b>Definition:</b> <a href="convolution5x5_8cl_source.xhtml#l00050">convolution5x5.cl:50</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00102">AbsoluteDifference.cpp:102</a></div></div>
<div class="ttc" id="struct_image_xhtml"><div class="ttname"><a href="struct_image.xhtml">Image</a></div><div class="ttdoc">Structure to hold Image information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00349">helpers.h:349</a></div></div>
<div class="ttc" id="convolution3x3_8cl_xhtml_ac06f3e24d3fffd3c465d8b2a6e7c985e"><div class="ttname"><a href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a></div><div class="ttdeci">#define DATA_TYPE_OUT</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00031">convolution3x3.cl:31</a></div></div>
<div class="ttc" id="convolution7x7_8cl_xhtml_a7cedca46bfb1e16a870477a88ce93b9c"><div class="ttname"><a href="convolution7x7_8cl.xhtml#a7cedca46bfb1e16a870477a88ce93b9c">convolution1x7</a></div><div class="ttdeci">short8 convolution1x7(__global const uchar *left_pixel, const short left1_coeff, const short left2_coeff, const short left3_coeff, const short middle_coeff, const short right1_coeff, const short right2_coeff, const short right3_coeff)</div><div class="ttdoc">Compute a 1D horizontal convolution of size 7 for 8 bytes assuming the input is made of 1 channel of ...</div><div class="ttdef"><b>Definition:</b> <a href="convolution7x7_8cl_source.xhtml#l00052">convolution7x7.cl:52</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a989ab3e96426615bb98e04e0235088ca"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">arm_compute::test::validation::src</a></div><div class="ttdeci">cast configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_cast_8cpp_source.xhtml#l00169">Cast.cpp:169</a></div></div>
<div class="ttc" id="convolution3x3_8cl_xhtml_a92702074338198e81a46c3e309d9b04f"><div class="ttname"><a href="convolution3x3_8cl.xhtml#a92702074338198e81a46c3e309d9b04f">convolution1x3</a></div><div class="ttdeci">short8 convolution1x3(__global const uchar *left_pixel, const short left_coeff, const short middle_coeff, const short right_coeff)</div><div class="ttdoc">Compute a 1D horizontal convolution of size 3 for 8 bytes assuming the input is made of 1 channel of ...</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00043">convolution3x3.cl:43</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a></div><div class="ttdeci">#define VEC_DATA_TYPE(type, size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00255">helpers.h:255</a></div></div>
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<p class="reference">References <a class="el" href="direct__convolution1x1_8cl_source.xhtml#l00030">CONVERT_SAT</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00311">CONVERT_TO_IMAGE_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00043">convolution1x3()</a>, <a class="el" href="convolution5x5_8cl_source.xhtml#l00050">convolution1x5()</a>, <a class="el" href="convolution7x7_8cl_source.xhtml#l00052">convolution1x7()</a>, <a class="el" href="convolution9x9_8cl_source.xhtml#l00054">convolution1x9()</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00031">DATA_TYPE_OUT</a>, <a class="el" href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00102">arm_compute::test::validation::dst</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00510">offset()</a>, <a class="el" href="_c_l_2_cast_8cpp_source.xhtml#l00169">arm_compute::test::validation::src</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00255">VEC_DATA_TYPE</a>.</p>
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