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></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;{</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="keyword">class </span><a class="code" href="namespacearm__compute.xhtml#af87af588094f04e537df98eaf0426cb6">ICLTensor</a>;</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="comment">/****************************************************************************************\</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="comment"> *                                    Square Convolution                                *</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="comment">\****************************************************************************************/</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size&gt;</div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">   52</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml">ICLSimple2DKernel</a></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;{</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keyword">const</span> int16_t *conv, uint32_t scale, <span class="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><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;</div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a4751499f1c526c7285e7e946c2e84541">   70</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolution3x3Kernel</a> = <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel&lt;3&gt;</a>;</div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ac4cfbdf439d7bf5d420546298bd5ca0d">   72</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolution5x5Kernel</a> = <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel&lt;5&gt;</a>;</div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a99a54c937a254c96cd1a29a96ffa7dcf">   74</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolution7x7Kernel</a> = <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel&lt;7&gt;</a>;</div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a908439cd5cf8253865d5c70a413fd607">   76</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolution9x9Kernel</a> = <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel&lt;9&gt;</a>;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="comment">/****************************************************************************************\</span></div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;<span class="comment"> *                              Separable Square Convolution                            *</span></div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<span class="comment">\****************************************************************************************/</span></div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size&gt;</div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">   84</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml">ICLSimple2DKernel</a></div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;{</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel</a>();</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keyword">const</span> int16_t *conv, <span class="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</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">private</span>:</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> _border_size; </div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;};</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;</div><div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ac72d613f7270604dbcad2553c278b16c">  106</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolution5x5HorKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel&lt;5&gt;</a>;</div><div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#aab26624bf4b326f8145b2909a5042004">  108</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolution7x7HorKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel&lt;7&gt;</a>;</div><div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a9f34ccad344bc43d25e8be2b828853aa">  110</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolution9x9HorKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel&lt;9&gt;</a>;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size&gt;</div><div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">  114</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolutionVertKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml">ICLSimple2DKernel</a></div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;{</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keyword">const</span> int16_t *conv, uint32_t scale, <span class="keywordtype">bool</span> border_undefined, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type = <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>);</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;};</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ac7295b0d8d71be75033238ad7fbba38c">  133</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolution5x5VertKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolutionVertKernel&lt;5&gt;</a>;</div><div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a0ffdf01e236016ce8d366a69875d1375">  135</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolution7x7VertKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolutionVertKernel&lt;7&gt;</a>;</div><div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a6d08e1e881bf611c1e1b9e2bb8810d19">  137</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolution9x9VertKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolutionVertKernel&lt;9&gt;</a>;</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;<span class="comment">/****************************************************************************************\</span></div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;<span class="comment"> *                                 Rectangle Convolution                                *</span></div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;<span class="comment">\****************************************************************************************/</span></div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;</div><div class="line"><a name="l00147"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">  147</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml">ICLKernel</a></div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;{</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a>();</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &amp;) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &amp;<a class="code" href="classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a8bc8fdf1a67fbaaa3270fd5eeecfc6cf">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &amp;) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a>(<a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &amp;<a class="code" href="classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a8bc8fdf1a67fbaaa3270fd5eeecfc6cf">operator=</a>(<a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keyword">const</span> int16_t *conv, uint32_t width, uint32_t height, uint32_t scale, <span class="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, cl::CommandQueue &amp;queue) <span class="keyword">override</span>;</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>       _border_size;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_input;</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a>       *_output;</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;};</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;}</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_CLCONVOLUTIONKERNEL_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="_i_c_l_simple2_d_kernel_8h_xhtml"><div class="ttname"><a href="_i_c_l_simple2_d_kernel_8h.xhtml">ICLSimple2DKernel.h</a></div></div>
 120 <div class="ttc" id="classarm__compute_1_1_i_c_l_simple_kernel_xhtml_a8bc8fdf1a67fbaaa3270fd5eeecfc6cf"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a8bc8fdf1a67fbaaa3270fd5eeecfc6cf">arm_compute::ICLSimpleKernel::operator=</a></div><div class="ttdeci">ICLSimpleKernel &amp; operator=(const ICLSimpleKernel &amp;)=delete</div><div class="ttdoc">Prevent instances of this class from being copied (As this class contains pointers). </div></div>
 121 <div class="ttc" id="classarm__compute_1_1_c_l_separable_convolution_hor_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">arm_compute::CLSeparableConvolutionHorKernel</a></div><div class="ttdoc">Kernel for the Horizontal pass of a Separable Convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_convolution_kernel_8h_source.xhtml#l00084">CLConvolutionKernel.h:84</a></div></div>
 122 <div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size. </div><div class="ttdef"><b>Definition:</b> <a href="_types_8h_source.xhtml#l00116">Types.h:116</a></div></div>
 123 <div class="ttc" id="classarm__compute_1_1_c_l_convolution_kernel_xhtml_a07e35fa34ecbbc82d848fa3997cc6fdb"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb">arm_compute::CLConvolutionKernel::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, bool border_undefined)</div><div class="ttdoc">Initialise the kernel&amp;#39;s input, output and border mode. </div></div>
 124 <div class="ttc" id="classarm__compute_1_1_c_l_convolution_kernel_xhtml_a423f9a45a52983b4de5e2b347f4369c7"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">arm_compute::CLConvolutionKernel::border_size</a></div><div class="ttdeci">BorderSize border_size() const override</div><div class="ttdoc">The size of the border for that kernel. </div></div>
 125 <div class="ttc" id="classarm__compute_1_1_c_l_convolution_rectangle_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">arm_compute::CLConvolutionRectangleKernel</a></div><div class="ttdoc">Kernel for the running convolution on a rectangle matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_convolution_kernel_8h_source.xhtml#l00147">CLConvolutionKernel.h:147</a></div></div>
 126 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml">arm_compute::ICLKernel</a></div><div class="ttdoc">Common interface for all the OpenCL kernels. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00036">ICLKernel.h:36</a></div></div>
 127 <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_8dox_source.xhtml#l00001">arm_compute.dox:1</a></div></div>
 128 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::Format::S32</a></div><div class="ttdoc">1 channel, 1 U16 per channel </div></div>
 129 <div class="ttc" id="classarm__compute_1_1_c_l_convolution_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">arm_compute::CLConvolutionKernel</a></div><div class="ttdoc">Interface for the kernel to run an arbitrary size convolution on a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_convolution_kernel_8h_source.xhtml#l00052">CLConvolutionKernel.h:52</a></div></div>
 130 <div class="ttc" id="classarm__compute_1_1_i_c_l_simple2_d_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml">arm_compute::ICLSimple2DKernel</a></div><div class="ttdoc">Interface for simple OpenCL kernels having 1 tensor input and 1 tensor output. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_simple2_d_kernel_8h_source.xhtml#l00034">ICLSimple2DKernel.h:34</a></div></div>
 131 <div class="ttc" id="classarm__compute_1_1_c_l_separable_convolution_vert_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">arm_compute::CLSeparableConvolutionVertKernel</a></div><div class="ttdoc">Kernel for the Vertical pass of a Separable Convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_convolution_kernel_8h_source.xhtml#l00114">CLConvolutionKernel.h:114</a></div></div>
 132 <div class="ttc" id="namespacearm__compute_xhtml_af87af588094f04e537df98eaf0426cb6"><div class="ttname"><a href="namespacearm__compute.xhtml#af87af588094f04e537df98eaf0426cb6">arm_compute::ICLTensor</a></div><div class="ttdeci">ICLImage ICLTensor</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_histogram_8h_source.xhtml#l00034">CLHistogram.h:34</a></div></div>
 133 <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>
 134 <div class="ttc" id="classarm__compute_1_1_i_c_l_simple2_d_kernel_xhtml_a493987e85723a8000eb26d1f00e2ad0e"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">arm_compute::ICLSimple2DKernel::run</a></div><div class="ttdeci">void run(const Window &amp;window, cl::CommandQueue &amp;queue) override</div><div class="ttdoc">Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue...</div></div>
 135 <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="_types_8h_source.xhtml#l00059">Types.h:59</a></div></div>
 136 <div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_a3f5646133956f06348b310ccc3d36353"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window &amp; window() const </div><div class="ttdoc">The maximum window the kernel can be executed on. </div></div>
 137 <div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div>
 138 </div><!-- fragment --></div><!-- contents -->
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 143     <li class="navelem"><a class="el" href="dir_214608ef36d61442cb2b0c1c4e9a7def.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="dir_1fb090f0c6070330bfaccc4236d3ca0d.xhtml">core</a></li><li class="navelem"><a class="el" href="dir_1633709b037eda5b8477677909f78129.xhtml">CL</a></li><li class="navelem"><a class="el" href="dir_f906bbebc596bc606d589ccb705e6595.xhtml">kernels</a></li><li class="navelem"><a class="el" href="_c_l_convolution_kernel_8h.xhtml">CLConvolutionKernel.h</a></li>
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