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 119 <a href="#pub-methods">Public Member Functions</a> &#124;
 120 <a href="#pub-static-methods">Static Public Member Functions</a>  </div>
 121   <div class="headertitle">
 122 <div class="title">ICLKernel Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div>  </div>
 123 </div><!--header-->
 124 <div class="contents">
 125
 126 <p>Common interface for all the OpenCL kernels.
 127  <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#details">More...</a></p>
 128
 129 <p><code>#include &lt;<a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>&gt;</code></p>
 130 <div class="dynheader">
 131 Collaboration diagram for ICLKernel:</div>
 132 <div class="dyncontent">
 133 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_i_c_l_kernel__coll__graph.svg" width="91" height="112"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
 134 </div>
 135 <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div>
 136 <table class="memberdecls">
 137 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
 138 Public Member Functions</h2></td></tr>
 139 <tr class="memitem:a6b10e96ce90bf901d17def86b874b019"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6b10e96ce90bf901d17def86b874b019">ICLKernel</a> ()</td></tr>
 140 <tr class="memdesc:a6b10e96ce90bf901d17def86b874b019"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#a6b10e96ce90bf901d17def86b874b019">More...</a><br /></td></tr>
 141 <tr class="separator:a6b10e96ce90bf901d17def86b874b019"><td class="memSeparator" colspan="2">&#160;</td></tr>
 142 <tr class="memitem:ae5121015ab09ece4d470f50c7ffe198e"><td class="memItemLeft" align="right" valign="top">cl::Kernel &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ae5121015ab09ece4d470f50c7ffe198e">kernel</a> ()</td></tr>
 143 <tr class="memdesc:ae5121015ab09ece4d470f50c7ffe198e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns a reference to the OpenCL kernel of this object.  <a href="#ae5121015ab09ece4d470f50c7ffe198e">More...</a><br /></td></tr>
 144 <tr class="separator:ae5121015ab09ece4d470f50c7ffe198e"><td class="memSeparator" colspan="2">&#160;</td></tr>
 145 <tr class="memitem:a9331d385192a50adf74d3af40ce0fa20"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
 146 <tr class="memitem:a9331d385192a50adf74d3af40ce0fa20"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a9331d385192a50adf74d3af40ce0fa20">add_1D_array_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_array.xhtml">ICLArray</a>&lt; T &gt; *array, const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;strides, unsigned int num_dimensions, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr>
 147 <tr class="memdesc:a9331d385192a50adf74d3af40ce0fa20"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 1D array's parameters to the object's kernel's arguments starting from the index idx.  <a href="#a9331d385192a50adf74d3af40ce0fa20">More...</a><br /></td></tr>
 148 <tr class="separator:a9331d385192a50adf74d3af40ce0fa20"><td class="memSeparator" colspan="2">&#160;</td></tr>
 149 <tr class="memitem:a479e7043e65dc87de35d374e108510f7"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a479e7043e65dc87de35d374e108510f7">add_1D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr>
 150 <tr class="memdesc:a479e7043e65dc87de35d374e108510f7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 1D tensor's parameters to the object's kernel's arguments starting from the index idx.  <a href="#a479e7043e65dc87de35d374e108510f7">More...</a><br /></td></tr>
 151 <tr class="separator:a479e7043e65dc87de35d374e108510f7"><td class="memSeparator" colspan="2">&#160;</td></tr>
 152 <tr class="memitem:ac74dad3e61f79334f5e73f3c3ac603cb"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac74dad3e61f79334f5e73f3c3ac603cb">add_2D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr>
 153 <tr class="memdesc:ac74dad3e61f79334f5e73f3c3ac603cb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 2D tensor's parameters to the object's kernel's arguments starting from the index idx.  <a href="#ac74dad3e61f79334f5e73f3c3ac603cb">More...</a><br /></td></tr>
 154 <tr class="separator:ac74dad3e61f79334f5e73f3c3ac603cb"><td class="memSeparator" colspan="2">&#160;</td></tr>
 155 <tr class="memitem:a28f5847162f352444c6ac1825d0e99c7"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">add_3D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr>
 156 <tr class="memdesc:a28f5847162f352444c6ac1825d0e99c7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 3D tensor's parameters to the object's kernel's arguments starting from the index idx.  <a href="#a28f5847162f352444c6ac1825d0e99c7">More...</a><br /></td></tr>
 157 <tr class="separator:a28f5847162f352444c6ac1825d0e99c7"><td class="memSeparator" colspan="2">&#160;</td></tr>
 158 <tr class="memitem:a33e09c946b338fbfc780a9d1c66e68ad"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a33e09c946b338fbfc780a9d1c66e68ad">add_4D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr>
 159 <tr class="memdesc:a33e09c946b338fbfc780a9d1c66e68ad"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 4D tensor's parameters to the object's kernel's arguments starting from the index idx.  <a href="#a33e09c946b338fbfc780a9d1c66e68ad">More...</a><br /></td></tr>
 160 <tr class="separator:a33e09c946b338fbfc780a9d1c66e68ad"><td class="memSeparator" colspan="2">&#160;</td></tr>
 161 <tr class="memitem:af6a174d47571f51f199ffc27ecc10f51"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#af6a174d47571f51f199ffc27ecc10f51">run</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, cl::CommandQueue &amp;queue)=0</td></tr>
 162 <tr class="memdesc:af6a174d47571f51f199ffc27ecc10f51"><td class="mdescLeft">&#160;</td><td class="mdescRight">Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue.  <a href="#af6a174d47571f51f199ffc27ecc10f51">More...</a><br /></td></tr>
 163 <tr class="separator:af6a174d47571f51f199ffc27ecc10f51"><td class="memSeparator" colspan="2">&#160;</td></tr>
 164 <tr class="memitem:a50f427a1d9419800972b9e03c4034311"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
 165 <tr class="memitem:a50f427a1d9419800972b9e03c4034311"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a50f427a1d9419800972b9e03c4034311">add_argument</a> (unsigned int &amp;idx, T value)</td></tr>
 166 <tr class="memdesc:a50f427a1d9419800972b9e03c4034311"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed parameters to the object's kernel's arguments starting from the index idx.  <a href="#a50f427a1d9419800972b9e03c4034311">More...</a><br /></td></tr>
 167 <tr class="separator:a50f427a1d9419800972b9e03c4034311"><td class="memSeparator" colspan="2">&#160;</td></tr>
 168 <tr class="memitem:ad356b88c8f61267d593d9ed99835bde9"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ad356b88c8f61267d593d9ed99835bde9">set_lws_hint</a> (const cl::NDRange &amp;<a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a0737b867334392d5dc5c2e3291d67dbf">lws_hint</a>)</td></tr>
 169 <tr class="memdesc:ad356b88c8f61267d593d9ed99835bde9"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the Local-Workgroup-Size hint.  <a href="#ad356b88c8f61267d593d9ed99835bde9">More...</a><br /></td></tr>
 170 <tr class="separator:ad356b88c8f61267d593d9ed99835bde9"><td class="memSeparator" colspan="2">&#160;</td></tr>
 171 <tr class="memitem:a0737b867334392d5dc5c2e3291d67dbf"><td class="memItemLeft" align="right" valign="top">cl::NDRange&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a0737b867334392d5dc5c2e3291d67dbf">lws_hint</a> () const </td></tr>
 172 <tr class="memdesc:a0737b867334392d5dc5c2e3291d67dbf"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return the Local-Workgroup-Size hint.  <a href="#a0737b867334392d5dc5c2e3291d67dbf">More...</a><br /></td></tr>
 173 <tr class="separator:a0737b867334392d5dc5c2e3291d67dbf"><td class="memSeparator" colspan="2">&#160;</td></tr>
 174 <tr class="memitem:a226d2e9e6d3c42d681666566fe950b2d"><td class="memItemLeft" align="right" valign="top">const std::string &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a226d2e9e6d3c42d681666566fe950b2d">config_id</a> () const </td></tr>
 175 <tr class="memdesc:a226d2e9e6d3c42d681666566fe950b2d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the configuration ID.  <a href="#a226d2e9e6d3c42d681666566fe950b2d">More...</a><br /></td></tr>
 176 <tr class="separator:a226d2e9e6d3c42d681666566fe950b2d"><td class="memSeparator" colspan="2">&#160;</td></tr>
 177 <tr class="memitem:ad5ba9d34a3a855bf1dd2e36316ff550a"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ad5ba9d34a3a855bf1dd2e36316ff550a">set_target</a> (<a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> target)</td></tr>
 178 <tr class="memdesc:ad5ba9d34a3a855bf1dd2e36316ff550a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the targeted GPU architecture.  <a href="#ad5ba9d34a3a855bf1dd2e36316ff550a">More...</a><br /></td></tr>
 179 <tr class="separator:ad5ba9d34a3a855bf1dd2e36316ff550a"><td class="memSeparator" colspan="2">&#160;</td></tr>
 180 <tr class="memitem:a57e5f498fcbfc25c28b8496dfa3fc33c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a57e5f498fcbfc25c28b8496dfa3fc33c">set_target</a> (cl::Device &amp;device)</td></tr>
 181 <tr class="memdesc:a57e5f498fcbfc25c28b8496dfa3fc33c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the targeted GPU architecture according to the CL device.  <a href="#a57e5f498fcbfc25c28b8496dfa3fc33c">More...</a><br /></td></tr>
 182 <tr class="separator:a57e5f498fcbfc25c28b8496dfa3fc33c"><td class="memSeparator" colspan="2">&#160;</td></tr>
 183 <tr class="memitem:a646cd535a16835b246c3367a63d96250"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a646cd535a16835b246c3367a63d96250">get_target</a> () const </td></tr>
 184 <tr class="memdesc:a646cd535a16835b246c3367a63d96250"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the targeted GPU architecture.  <a href="#a646cd535a16835b246c3367a63d96250">More...</a><br /></td></tr>
 185 <tr class="separator:a646cd535a16835b246c3367a63d96250"><td class="memSeparator" colspan="2">&#160;</td></tr>
 186 <tr class="memitem:abca336f832d730e8494049bd714df60a"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#abca336f832d730e8494049bd714df60a">get_max_workgroup_size</a> ()</td></tr>
 187 <tr class="memdesc:abca336f832d730e8494049bd714df60a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the maximum workgroup size for the device the <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml" title="CLKernelLibrary class. ">CLKernelLibrary</a> uses.  <a href="#abca336f832d730e8494049bd714df60a">More...</a><br /></td></tr>
 188 <tr class="separator:abca336f832d730e8494049bd714df60a"><td class="memSeparator" colspan="2">&#160;</td></tr>
 189 <tr class="memitem:a2d7c6b5f3332604ad6a637457f65c342"><td class="memTemplParams" colspan="2">template&lt;typename T , unsigned int dimension_size&gt; </td></tr>
 190 <tr class="memitem:a2d7c6b5f3332604ad6a637457f65c342"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2d7c6b5f3332604ad6a637457f65c342">add_array_argument</a> (unsigned &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_array.xhtml">ICLArray</a>&lt; T &gt; *array, const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;strides, unsigned int num_dimensions, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr>
 191 <tr class="memdesc:a2d7c6b5f3332604ad6a637457f65c342"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed array's parameters to the object's kernel's arguments starting from the index idx.  <a href="#a2d7c6b5f3332604ad6a637457f65c342">More...</a><br /></td></tr>
 192 <tr class="separator:a2d7c6b5f3332604ad6a637457f65c342"><td class="memSeparator" colspan="2">&#160;</td></tr>
 193 <tr class="inherit_header pub_methods_classarm__compute_1_1_i_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_kernel')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a></td></tr>
 194 <tr class="memitem:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><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>
 195 <tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr>
 196 <tr class="separator:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 197 <tr class="memitem:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><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>
 198 <tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destructor.  <a href="#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr>
 199 <tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 200 <tr class="memitem:abfab8f0d4928e1081d9f65b77933e24a inherit pub_methods_classarm__compute_1_1_i_kernel"><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>
 201 <tr class="memdesc:abfab8f0d4928e1081d9f65b77933e24a inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Indicates whether or not the kernel is parallelisable.  <a href="#abfab8f0d4928e1081d9f65b77933e24a">More...</a><br /></td></tr>
 202 <tr class="separator:abfab8f0d4928e1081d9f65b77933e24a inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 203 <tr class="memitem:aa6daa9b04e2035bf007e5e5c3c4396a8 inherit pub_methods_classarm__compute_1_1_i_kernel"><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>
 204 <tr class="memdesc:aa6daa9b04e2035bf007e5e5c3c4396a8 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">The size of the border for that kernel.  <a href="#aa6daa9b04e2035bf007e5e5c3c4396a8">More...</a><br /></td></tr>
 205 <tr class="separator:aa6daa9b04e2035bf007e5e5c3c4396a8 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 206 <tr class="memitem:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><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>
 207 <tr class="memdesc:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><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>
 208 <tr class="separator:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 209 </table><table class="memberdecls">
 210 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
 211 Static Public Member Functions</h2></td></tr>
 212 <tr class="memitem:a278f0e6c68ca17e71f4c4ff82f360aa0"><td class="memItemLeft" align="right" valign="top">static constexpr unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a278f0e6c68ca17e71f4c4ff82f360aa0">num_arguments_per_1D_array</a> ()</td></tr>
 213 <tr class="memdesc:a278f0e6c68ca17e71f4c4ff82f360aa0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 1D array object.  <a href="#a278f0e6c68ca17e71f4c4ff82f360aa0">More...</a><br /></td></tr>
 214 <tr class="separator:a278f0e6c68ca17e71f4c4ff82f360aa0"><td class="memSeparator" colspan="2">&#160;</td></tr>
 215 <tr class="memitem:a43b6c5e4b57069c5f61e96dff24c212d"><td class="memItemLeft" align="right" valign="top">static constexpr unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a43b6c5e4b57069c5f61e96dff24c212d">num_arguments_per_1D_tensor</a> ()</td></tr>
 216 <tr class="memdesc:a43b6c5e4b57069c5f61e96dff24c212d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 1D tensor object.  <a href="#a43b6c5e4b57069c5f61e96dff24c212d">More...</a><br /></td></tr>
 217 <tr class="separator:a43b6c5e4b57069c5f61e96dff24c212d"><td class="memSeparator" colspan="2">&#160;</td></tr>
 218 <tr class="memitem:a45601e0d46621a5b6f2e417d60e5c800"><td class="memItemLeft" align="right" valign="top">static constexpr unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a45601e0d46621a5b6f2e417d60e5c800">num_arguments_per_2D_tensor</a> ()</td></tr>
 219 <tr class="memdesc:a45601e0d46621a5b6f2e417d60e5c800"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 2D tensor object.  <a href="#a45601e0d46621a5b6f2e417d60e5c800">More...</a><br /></td></tr>
 220 <tr class="separator:a45601e0d46621a5b6f2e417d60e5c800"><td class="memSeparator" colspan="2">&#160;</td></tr>
 221 <tr class="memitem:a6c9c1e7a7d96743375ca40847f0f12e2"><td class="memItemLeft" align="right" valign="top">static constexpr unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6c9c1e7a7d96743375ca40847f0f12e2">num_arguments_per_3D_tensor</a> ()</td></tr>
 222 <tr class="memdesc:a6c9c1e7a7d96743375ca40847f0f12e2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 3D tensor object.  <a href="#a6c9c1e7a7d96743375ca40847f0f12e2">More...</a><br /></td></tr>
 223 <tr class="separator:a6c9c1e7a7d96743375ca40847f0f12e2"><td class="memSeparator" colspan="2">&#160;</td></tr>
 224 <tr class="memitem:a184fdf37587a9314cf12623accea6c73"><td class="memItemLeft" align="right" valign="top">static constexpr unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a184fdf37587a9314cf12623accea6c73">num_arguments_per_4D_tensor</a> ()</td></tr>
 225 <tr class="memdesc:a184fdf37587a9314cf12623accea6c73"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 4D tensor object.  <a href="#a184fdf37587a9314cf12623accea6c73">More...</a><br /></td></tr>
 226 <tr class="separator:a184fdf37587a9314cf12623accea6c73"><td class="memSeparator" colspan="2">&#160;</td></tr>
 227 <tr class="memitem:a4b4a20e518c04e657839280cd486a85d"><td class="memItemLeft" align="right" valign="top">static cl::NDRange&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a4b4a20e518c04e657839280cd486a85d">gws_from_window</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr>
 228 <tr class="memdesc:a4b4a20e518c04e657839280cd486a85d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the global work size given an execution window.  <a href="#a4b4a20e518c04e657839280cd486a85d">More...</a><br /></td></tr>
 229 <tr class="separator:a4b4a20e518c04e657839280cd486a85d"><td class="memSeparator" colspan="2">&#160;</td></tr>
 230 </table>
 231 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 232 <div class="textblock"><p>Common interface for all the OpenCL kernels. </p>
 233
 234 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00043">43</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 235 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 236 <a class="anchor" id="a6b10e96ce90bf901d17def86b874b019"></a>
 237 <div class="memitem">
 238 <div class="memproto">
 239 <table class="mlabels">
 240   <tr>
 241   <td class="mlabels-left">
 242       <table class="memname">
 243         <tr>
 244           <td class="memname"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml">ICLKernel</a> </td>
 245           <td>(</td>
 246           <td class="paramname"></td><td>)</td>
 247           <td></td>
 248         </tr>
 249       </table>
 250   </td>
 251   <td class="mlabels-right">
 252 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 253   </tr>
 254 </table>
 255 </div><div class="memdoc">
 256
 257 <p>Constructor. </p>
 258
 259 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00067">67</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 260 <div class="fragment"><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;        : _kernel(<span class="keyword">nullptr</span>), _lws_hint(<a class="code" href="classarm__compute_1_1_c_l_kernel_library.xhtml#aebe2d25607545d31f2b1ace6d60a81da">CLKernelLibrary::get</a>().default_ndrange()), _target(<a class="code" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3afa362f4daec88442a387ff7cda411a38">GPUTarget::MIDGARD</a>), _config_id(arm_compute::default_config_id), _max_workgroup_size(0)</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    {</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    }</div><div class="ttc" id="classarm__compute_1_1_c_l_kernel_library_xhtml_aebe2d25607545d31f2b1ace6d60a81da"><div class="ttname"><a href="classarm__compute_1_1_c_l_kernel_library.xhtml#aebe2d25607545d31f2b1ace6d60a81da">arm_compute::CLKernelLibrary::get</a></div><div class="ttdeci">static CLKernelLibrary &amp; get()</div><div class="ttdoc">Access the KernelLibrary singleton. </div></div>
 261 <div class="ttc" id="namespacearm__compute_xhtml_a735ac6c2a02e320969625308810444f3afa362f4daec88442a387ff7cda411a38"><div class="ttname"><a href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3afa362f4daec88442a387ff7cda411a38">arm_compute::GPUTarget::MIDGARD</a></div></div>
 262 </div><!-- fragment -->
 263 </div>
 264 </div>
 265 <h2 class="groupheader">Member Function Documentation</h2>
 266 <a class="anchor" id="a9331d385192a50adf74d3af40ce0fa20"></a>
 267 <div class="memitem">
 268 <div class="memproto">
 269 <table class="mlabels">
 270   <tr>
 271   <td class="mlabels-left">
 272       <table class="memname">
 273         <tr>
 274           <td class="memname">void add_1D_array_argument </td>
 275           <td>(</td>
 276           <td class="paramtype">unsigned int &amp;&#160;</td>
 277           <td class="paramname"><em>idx</em>, </td>
 278         </tr>
 279         <tr>
 280           <td class="paramkey"></td>
 281           <td></td>
 282           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_array.xhtml">ICLArray</a>&lt; T &gt; *&#160;</td>
 283           <td class="paramname"><em>array</em>, </td>
 284         </tr>
 285         <tr>
 286           <td class="paramkey"></td>
 287           <td></td>
 288           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;&#160;</td>
 289           <td class="paramname"><em>strides</em>, </td>
 290         </tr>
 291         <tr>
 292           <td class="paramkey"></td>
 293           <td></td>
 294           <td class="paramtype">unsigned int&#160;</td>
 295           <td class="paramname"><em>num_dimensions</em>, </td>
 296         </tr>
 297         <tr>
 298           <td class="paramkey"></td>
 299           <td></td>
 300           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
 301           <td class="paramname"><em>window</em>&#160;</td>
 302         </tr>
 303         <tr>
 304           <td></td>
 305           <td>)</td>
 306           <td></td><td></td>
 307         </tr>
 308       </table>
 309   </td>
 310   <td class="mlabels-right">
 311 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 312   </tr>
 313 </table>
 314 </div><div class="memdoc">
 315
 316 <p>Add the passed 1D array's parameters to the object's kernel's arguments starting from the index idx. </p>
 317 <dl class="params"><dt>Parameters</dt><dd>
 318   <table class="params">
 319     <tr><td class="paramdir">[in,out]</td><td class="paramname">idx</td><td>Index at which to start adding the array's arguments. Will be incremented by the number of kernel arguments set. </td></tr>
 320     <tr><td class="paramdir">[in]</td><td class="paramname">array</td><td><a class="el" href="classarm__compute_1_1_array.xhtml" title="Basic implementation of the IArray interface which allocates a static number of T values...">Array</a> to set as an argument of the object's kernel. </td></tr>
 321     <tr><td class="paramdir">[in]</td><td class="paramname">strides</td><td><a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> object containing stride of each dimension in bytes. </td></tr>
 322     <tr><td class="paramdir">[in]</td><td class="paramname">num_dimensions</td><td>Number of dimensions of the <code>array</code>. </td></tr>
 323     <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td><a class="el" href="classarm__compute_1_1_window.xhtml" title="Describe a multidimensional execution window. ">Window</a> the kernel will be executed on. </td></tr>
 324   </table>
 325   </dd>
 326 </dl>
 327
 328 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00088">88</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 329
 330 <p>References <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">IKernel::window()</a>.</p>
 331 <div class="fragment"><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    {</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;        add_array_argument&lt;T, 1&gt;(idx, array, strides, num_dimensions, <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>);</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    }</div><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>
 332 </div><!-- fragment -->
 333 </div>
 334 </div>
 335 <a class="anchor" id="a479e7043e65dc87de35d374e108510f7"></a>
 336 <div class="memitem">
 337 <div class="memproto">
 338 <table class="mlabels">
 339   <tr>
 340   <td class="mlabels-left">
 341       <table class="memname">
 342         <tr>
 343           <td class="memname">void add_1D_tensor_argument </td>
 344           <td>(</td>
 345           <td class="paramtype">unsigned int &amp;&#160;</td>
 346           <td class="paramname"><em>idx</em>, </td>
 347         </tr>
 348         <tr>
 349           <td class="paramkey"></td>
 350           <td></td>
 351           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
 352           <td class="paramname"><em>tensor</em>, </td>
 353         </tr>
 354         <tr>
 355           <td class="paramkey"></td>
 356           <td></td>
 357           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
 358           <td class="paramname"><em>window</em>&#160;</td>
 359         </tr>
 360         <tr>
 361           <td></td>
 362           <td>)</td>
 363           <td></td><td></td>
 364         </tr>
 365       </table>
 366   </td>
 367   <td class="mlabels-right">
 368 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 369   </tr>
 370 </table>
 371 </div><div class="memdoc">
 372
 373 <p>Add the passed 1D tensor's parameters to the object's kernel's arguments starting from the index idx. </p>
 374 <dl class="params"><dt>Parameters</dt><dd>
 375   <table class="params">
 376     <tr><td class="paramdir">[in,out]</td><td class="paramname">idx</td><td>Index at which to start adding the tensor's arguments. Will be incremented by the number of kernel arguments set. </td></tr>
 377     <tr><td class="paramdir">[in]</td><td class="paramname">tensor</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a> to set as an argument of the object's kernel. </td></tr>
 378     <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td><a class="el" href="classarm__compute_1_1_window.xhtml" title="Describe a multidimensional execution window. ">Window</a> the kernel will be executed on. </td></tr>
 379   </table>
 380   </dd>
 381 </dl>
 382
 383 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00098">98</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 384
 385 <p>References <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">IKernel::window()</a>.</p>
 386 <div class="fragment"><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    {</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        add_tensor_argument&lt;1&gt;(idx, tensor, <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>);</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    }</div><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>
 387 </div><!-- fragment -->
 388 </div>
 389 </div>
 390 <a class="anchor" id="ac74dad3e61f79334f5e73f3c3ac603cb"></a>
 391 <div class="memitem">
 392 <div class="memproto">
 393 <table class="mlabels">
 394   <tr>
 395   <td class="mlabels-left">
 396       <table class="memname">
 397         <tr>
 398           <td class="memname">void add_2D_tensor_argument </td>
 399           <td>(</td>
 400           <td class="paramtype">unsigned int &amp;&#160;</td>
 401           <td class="paramname"><em>idx</em>, </td>
 402         </tr>
 403         <tr>
 404           <td class="paramkey"></td>
 405           <td></td>
 406           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
 407           <td class="paramname"><em>tensor</em>, </td>
 408         </tr>
 409         <tr>
 410           <td class="paramkey"></td>
 411           <td></td>
 412           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
 413           <td class="paramname"><em>window</em>&#160;</td>
 414         </tr>
 415         <tr>
 416           <td></td>
 417           <td>)</td>
 418           <td></td><td></td>
 419         </tr>
 420       </table>
 421   </td>
 422   <td class="mlabels-right">
 423 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 424   </tr>
 425 </table>
 426 </div><div class="memdoc">
 427
 428 <p>Add the passed 2D tensor's parameters to the object's kernel's arguments starting from the index idx. </p>
 429 <dl class="params"><dt>Parameters</dt><dd>
 430   <table class="params">
 431     <tr><td class="paramdir">[in,out]</td><td class="paramname">idx</td><td>Index at which to start adding the tensor's arguments. Will be incremented by the number of kernel arguments set. </td></tr>
 432     <tr><td class="paramdir">[in]</td><td class="paramname">tensor</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a> to set as an argument of the object's kernel. </td></tr>
 433     <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td><a class="el" href="classarm__compute_1_1_window.xhtml" title="Describe a multidimensional execution window. ">Window</a> the kernel will be executed on. </td></tr>
 434   </table>
 435   </dd>
 436 </dl>
 437
 438 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00108">108</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 439
 440 <p>References <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">IKernel::window()</a>.</p>
 441 <div class="fragment"><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    {</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;        add_tensor_argument&lt;2&gt;(idx, tensor, <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>);</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    }</div><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>
 442 </div><!-- fragment -->
 443 </div>
 444 </div>
 445 <a class="anchor" id="a28f5847162f352444c6ac1825d0e99c7"></a>
 446 <div class="memitem">
 447 <div class="memproto">
 448 <table class="mlabels">
 449   <tr>
 450   <td class="mlabels-left">
 451       <table class="memname">
 452         <tr>
 453           <td class="memname">void add_3D_tensor_argument </td>
 454           <td>(</td>
 455           <td class="paramtype">unsigned int &amp;&#160;</td>
 456           <td class="paramname"><em>idx</em>, </td>
 457         </tr>
 458         <tr>
 459           <td class="paramkey"></td>
 460           <td></td>
 461           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
 462           <td class="paramname"><em>tensor</em>, </td>
 463         </tr>
 464         <tr>
 465           <td class="paramkey"></td>
 466           <td></td>
 467           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
 468           <td class="paramname"><em>window</em>&#160;</td>
 469         </tr>
 470         <tr>
 471           <td></td>
 472           <td>)</td>
 473           <td></td><td></td>
 474         </tr>
 475       </table>
 476   </td>
 477   <td class="mlabels-right">
 478 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 479   </tr>
 480 </table>
 481 </div><div class="memdoc">
 482
 483 <p>Add the passed 3D tensor's parameters to the object's kernel's arguments starting from the index idx. </p>
 484 <dl class="params"><dt>Parameters</dt><dd>
 485   <table class="params">
 486     <tr><td class="paramdir">[in,out]</td><td class="paramname">idx</td><td>Index at which to start adding the tensor's arguments. Will be incremented by the number of kernel arguments set. </td></tr>
 487     <tr><td class="paramdir">[in]</td><td class="paramname">tensor</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a> to set as an argument of the object's kernel. </td></tr>
 488     <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td><a class="el" href="classarm__compute_1_1_window.xhtml" title="Describe a multidimensional execution window. ">Window</a> the kernel will be executed on. </td></tr>
 489   </table>
 490   </dd>
 491 </dl>
 492
 493 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00118">118</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 494
 495 <p>References <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">IKernel::window()</a>.</p>
 496 <div class="fragment"><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    {</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;        add_tensor_argument&lt;3&gt;(idx, tensor, <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>);</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    }</div><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>
 497 </div><!-- fragment -->
 498 </div>
 499 </div>
 500 <a class="anchor" id="a33e09c946b338fbfc780a9d1c66e68ad"></a>
 501 <div class="memitem">
 502 <div class="memproto">
 503 <table class="mlabels">
 504   <tr>
 505   <td class="mlabels-left">
 506       <table class="memname">
 507         <tr>
 508           <td class="memname">void add_4D_tensor_argument </td>
 509           <td>(</td>
 510           <td class="paramtype">unsigned int &amp;&#160;</td>
 511           <td class="paramname"><em>idx</em>, </td>
 512         </tr>
 513         <tr>
 514           <td class="paramkey"></td>
 515           <td></td>
 516           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
 517           <td class="paramname"><em>tensor</em>, </td>
 518         </tr>
 519         <tr>
 520           <td class="paramkey"></td>
 521           <td></td>
 522           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
 523           <td class="paramname"><em>window</em>&#160;</td>
 524         </tr>
 525         <tr>
 526           <td></td>
 527           <td>)</td>
 528           <td></td><td></td>
 529         </tr>
 530       </table>
 531   </td>
 532   <td class="mlabels-right">
 533 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 534   </tr>
 535 </table>
 536 </div><div class="memdoc">
 537
 538 <p>Add the passed 4D tensor's parameters to the object's kernel's arguments starting from the index idx. </p>
 539 <dl class="params"><dt>Parameters</dt><dd>
 540   <table class="params">
 541     <tr><td class="paramdir">[in,out]</td><td class="paramname">idx</td><td>Index at which to start adding the tensor's arguments. Will be incremented by the number of kernel arguments set. </td></tr>
 542     <tr><td class="paramdir">[in]</td><td class="paramname">tensor</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a> to set as an argument of the object's kernel. </td></tr>
 543     <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td><a class="el" href="classarm__compute_1_1_window.xhtml" title="Describe a multidimensional execution window. ">Window</a> the kernel will be executed on. </td></tr>
 544   </table>
 545   </dd>
 546 </dl>
 547
 548 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00128">128</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 549
 550 <p>References <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">IKernel::window()</a>.</p>
 551 <div class="fragment"><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    {</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;        add_tensor_argument&lt;4&gt;(idx, tensor, <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>);</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    }</div><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>
 552 </div><!-- fragment -->
 553 </div>
 554 </div>
 555 <a class="anchor" id="a50f427a1d9419800972b9e03c4034311"></a>
 556 <div class="memitem">
 557 <div class="memproto">
 558 <table class="mlabels">
 559   <tr>
 560   <td class="mlabels-left">
 561       <table class="memname">
 562         <tr>
 563           <td class="memname">void add_argument </td>
 564           <td>(</td>
 565           <td class="paramtype">unsigned int &amp;&#160;</td>
 566           <td class="paramname"><em>idx</em>, </td>
 567         </tr>
 568         <tr>
 569           <td class="paramkey"></td>
 570           <td></td>
 571           <td class="paramtype">T&#160;</td>
 572           <td class="paramname"><em>value</em>&#160;</td>
 573         </tr>
 574         <tr>
 575           <td></td>
 576           <td>)</td>
 577           <td></td><td></td>
 578         </tr>
 579       </table>
 580   </td>
 581   <td class="mlabels-right">
 582 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 583   </tr>
 584 </table>
 585 </div><div class="memdoc">
 586
 587 <p>Add the passed parameters to the object's kernel's arguments starting from the index idx. </p>
 588 <dl class="params"><dt>Parameters</dt><dd>
 589   <table class="params">
 590     <tr><td class="paramdir">[in,out]</td><td class="paramname">idx</td><td>Index at which to start adding the arguments. Will be incremented by the number of kernel arguments set. </td></tr>
 591     <tr><td class="paramdir">[in]</td><td class="paramname">value</td><td>Value to set as an argument of the object's kernel. </td></tr>
 592   </table>
 593   </dd>
 594 </dl>
 595
 596 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00186">186</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 597 <div class="fragment"><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    {</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;        _kernel.setArg(idx++, value);</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;    }</div></div><!-- fragment -->
 598 </div>
 599 </div>
 600 <a class="anchor" id="a2d7c6b5f3332604ad6a637457f65c342"></a>
 601 <div class="memitem">
 602 <div class="memproto">
 603       <table class="memname">
 604         <tr>
 605           <td class="memname">void add_array_argument </td>
 606           <td>(</td>
 607           <td class="paramtype">unsigned &amp;&#160;</td>
 608           <td class="paramname"><em>idx</em>, </td>
 609         </tr>
 610         <tr>
 611           <td class="paramkey"></td>
 612           <td></td>
 613           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_array.xhtml">ICLArray</a>&lt; T &gt; *&#160;</td>
 614           <td class="paramname"><em>array</em>, </td>
 615         </tr>
 616         <tr>
 617           <td class="paramkey"></td>
 618           <td></td>
 619           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;&#160;</td>
 620           <td class="paramname"><em>strides</em>, </td>
 621         </tr>
 622         <tr>
 623           <td class="paramkey"></td>
 624           <td></td>
 625           <td class="paramtype">unsigned int&#160;</td>
 626           <td class="paramname"><em>num_dimensions</em>, </td>
 627         </tr>
 628         <tr>
 629           <td class="paramkey"></td>
 630           <td></td>
 631           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
 632           <td class="paramname"><em>window</em>&#160;</td>
 633         </tr>
 634         <tr>
 635           <td></td>
 636           <td>)</td>
 637           <td></td><td></td>
 638         </tr>
 639       </table>
 640 </div><div class="memdoc">
 641
 642 <p>Add the passed array's parameters to the object's kernel's arguments starting from the index idx. </p>
 643 <dl class="params"><dt>Parameters</dt><dd>
 644   <table class="params">
 645     <tr><td class="paramdir">[in,out]</td><td class="paramname">idx</td><td>Index at which to start adding the array's arguments. Will be incremented by the number of kernel arguments set. </td></tr>
 646     <tr><td class="paramdir">[in]</td><td class="paramname">array</td><td><a class="el" href="classarm__compute_1_1_array.xhtml" title="Basic implementation of the IArray interface which allocates a static number of T values...">Array</a> to set as an argument of the object's kernel. </td></tr>
 647     <tr><td class="paramdir">[in]</td><td class="paramname">strides</td><td><a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> object containing stride of each dimension in bytes. </td></tr>
 648     <tr><td class="paramdir">[in]</td><td class="paramname">num_dimensions</td><td>Number of dimensions of the <code>array</code>. </td></tr>
 649     <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td><a class="el" href="classarm__compute_1_1_window.xhtml" title="Describe a multidimensional execution window. ">Window</a> the kernel will be executed on. </td></tr>
 650   </table>
 651   </dd>
 652 </dl>
 653
 654 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00315">315</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 655
 656 <p>References <a class="el" href="_error_8h_source.xhtml#l00328">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="_error_8h_source.xhtml#l00319">ARM_COMPUTE_ERROR_ON_MSG</a>, <a class="el" href="_error_8h_source.xhtml#l00159">ARM_COMPUTE_UNUSED</a>, and <a class="el" href="classarm__compute_1_1_i_c_l_array.xhtml#a1fb4c50755a0ef424652246838ed91a6">ICLArray&lt; T &gt;::cl_buffer()</a>.</p>
 657 <div class="fragment"><div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;{</div><div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(array == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;</div><div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;    <span class="comment">// Calculate offset to the start of the window</span></div><div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> offset_first_element = 0;</div><div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;</div><div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> n = 0; n &lt; num_dimensions; ++n)</div><div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;    {</div><div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;        offset_first_element += <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>[n].start() * strides[n];</div><div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;    }</div><div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;</div><div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx_start = idx;</div><div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;    _kernel.setArg(idx++, array-&gt;cl_buffer());</div><div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;</div><div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimension = 0; dimension &lt; dimension_size; dimension++)</div><div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;    {</div><div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;        _kernel.setArg&lt;cl_uint&gt;(idx++, strides[dimension]);</div><div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;        _kernel.setArg&lt;cl_uint&gt;(idx++, strides[dimension] * <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>[dimension].step());</div><div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;    }</div><div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;</div><div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;    _kernel.setArg&lt;cl_uint&gt;(idx++, offset_first_element);</div><div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;</div><div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;    <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(idx_start + num_arguments_per_array&lt;dimension_size&gt;() != idx,</div><div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;                             <span class="stringliteral">&quot;add_%dD_array_argument() is supposed to add exactly %d arguments to the kernel&quot;</span>, dimension_size, num_arguments_per_array&lt;dimension_size&gt;());</div><div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;    <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(idx_start);</div><div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;}</div><div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00328">Error.h:328</a></div></div>
 658 <div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00159">Error.h:159</a></div></div>
 659 <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>
 660 <div class="ttc" id="_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00319">Error.h:319</a></div></div>
 661 </div><!-- fragment -->
 662 </div>
 663 </div>
 664 <a class="anchor" id="a226d2e9e6d3c42d681666566fe950b2d"></a>
 665 <div class="memitem">
 666 <div class="memproto">
 667 <table class="mlabels">
 668   <tr>
 669   <td class="mlabels-left">
 670       <table class="memname">
 671         <tr>
 672           <td class="memname">const std::string&amp; config_id </td>
 673           <td>(</td>
 674           <td class="paramname"></td><td>)</td>
 675           <td> const</td>
 676         </tr>
 677       </table>
 678   </td>
 679   <td class="mlabels-right">
 680 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 681   </tr>
 682 </table>
 683 </div><div class="memdoc">
 684
 685 <p>Get the configuration ID. </p>
 686 <dl class="section note"><dt>Note</dt><dd>The configuration ID can be used by the caller to distinguish different calls of the same OpenCL kernel In particular, this method can be used by <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml" title="Provides global access to a CL context and command queue. ">CLScheduler</a> to keep track of the best LWS for each configuration of the same kernel. The configuration ID should be provided only for the kernels potentially affected by the LWS geometry</dd>
 687 <dd>
 688 This method should be called after the configuration of the kernel</dd></dl>
 689 <dl class="section return"><dt>Returns</dt><dd>configuration id string </dd></dl>
 690
 691 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00221">221</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 692 <div class="fragment"><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;    {</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;        <span class="keywordflow">return</span> _config_id;</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    }</div></div><!-- fragment -->
 693 </div>
 694 </div>
 695 <a class="anchor" id="abca336f832d730e8494049bd714df60a"></a>
 696 <div class="memitem">
 697 <div class="memproto">
 698       <table class="memname">
 699         <tr>
 700           <td class="memname">size_t get_max_workgroup_size </td>
 701           <td>(</td>
 702           <td class="paramname"></td><td>)</td>
 703           <td></td>
 704         </tr>
 705       </table>
 706 </div><div class="memdoc">
 707
 708 <p>Get the maximum workgroup size for the device the <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml" title="CLKernelLibrary class. ">CLKernelLibrary</a> uses. </p>
 709 <dl class="section return"><dt>Returns</dt><dd>The maximum workgroup size value. </dd></dl>
 710
 711 <p>Referenced by <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00245">ICLKernel::get_target()</a>.</p>
 712
 713 </div>
 714 </div>
 715 <a class="anchor" id="a646cd535a16835b246c3367a63d96250"></a>
 716 <div class="memitem">
 717 <div class="memproto">
 718 <table class="mlabels">
 719   <tr>
 720   <td class="mlabels-left">
 721       <table class="memname">
 722         <tr>
 723           <td class="memname"><a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> get_target </td>
 724           <td>(</td>
 725           <td class="paramname"></td><td>)</td>
 726           <td> const</td>
 727         </tr>
 728       </table>
 729   </td>
 730   <td class="mlabels-right">
 731 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 732   </tr>
 733 </table>
 734 </div><div class="memdoc">
 735
 736 <p>Get the targeted GPU architecture. </p>
 737 <dl class="section return"><dt>Returns</dt><dd>The targeted GPU architecture. </dd></dl>
 738
 739 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00245">245</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 740
 741 <p>References <a class="el" href="namespacearm__compute.xhtml#a0f68015f649819f1102aa73d7b88b29e">arm_compute::enqueue()</a>, <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#aebe2d25607545d31f2b1ace6d60a81da">CLKernelLibrary::get()</a>, <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#abca336f832d730e8494049bd714df60a">ICLKernel::get_max_workgroup_size()</a>, <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a4b4a20e518c04e657839280cd486a85d">ICLKernel::gws_from_window()</a>, <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00075">ICLKernel::kernel()</a>, <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00206">ICLKernel::lws_hint()</a>, and <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">IKernel::window()</a>.</p>
 742 <div class="fragment"><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;    {</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;        <span class="keywordflow">return</span> _target;</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    }</div></div><!-- fragment -->
 743 </div>
 744 </div>
 745 <a class="anchor" id="a4b4a20e518c04e657839280cd486a85d"></a>
 746 <div class="memitem">
 747 <div class="memproto">
 748 <table class="mlabels">
 749   <tr>
 750   <td class="mlabels-left">
 751       <table class="memname">
 752         <tr>
 753           <td class="memname">static cl::NDRange gws_from_window </td>
 754           <td>(</td>
 755           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
 756           <td class="paramname"><em>window</em></td><td>)</td>
 757           <td></td>
 758         </tr>
 759       </table>
 760   </td>
 761   <td class="mlabels-right">
 762 <span class="mlabels"><span class="mlabel">static</span></span>  </td>
 763   </tr>
 764 </table>
 765 </div><div class="memdoc">
 766
 767 <p>Get the global work size given an execution window. </p>
 768 <dl class="params"><dt>Parameters</dt><dd>
 769   <table class="params">
 770     <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td>Execution window</td></tr>
 771   </table>
 772   </dd>
 773 </dl>
 774 <dl class="section return"><dt>Returns</dt><dd>Global work size of the given execution window </dd></dl>
 775
 776 <p>Referenced by <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00245">ICLKernel::get_target()</a>.</p>
 777
 778 </div>
 779 </div>
 780 <a class="anchor" id="ae5121015ab09ece4d470f50c7ffe198e"></a>
 781 <div class="memitem">
 782 <div class="memproto">
 783 <table class="mlabels">
 784   <tr>
 785   <td class="mlabels-left">
 786       <table class="memname">
 787         <tr>
 788           <td class="memname">cl::Kernel&amp; kernel </td>
 789           <td>(</td>
 790           <td class="paramname"></td><td>)</td>
 791           <td></td>
 792         </tr>
 793       </table>
 794   </td>
 795   <td class="mlabels-right">
 796 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 797   </tr>
 798 </table>
 799 </div><div class="memdoc">
 800
 801 <p>Returns a reference to the OpenCL kernel of this object. </p>
 802 <dl class="section return"><dt>Returns</dt><dd>A reference to the OpenCL kernel of this object. </dd></dl>
 803
 804 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00075">75</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 805
 806 <p>Referenced by <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00245">ICLKernel::get_target()</a>.</p>
 807 <div class="fragment"><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    {</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        <span class="keywordflow">return</span> _kernel;</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    }</div></div><!-- fragment -->
 808 </div>
 809 </div>
 810 <a class="anchor" id="a0737b867334392d5dc5c2e3291d67dbf"></a>
 811 <div class="memitem">
 812 <div class="memproto">
 813 <table class="mlabels">
 814   <tr>
 815   <td class="mlabels-left">
 816       <table class="memname">
 817         <tr>
 818           <td class="memname">cl::NDRange lws_hint </td>
 819           <td>(</td>
 820           <td class="paramname"></td><td>)</td>
 821           <td> const</td>
 822         </tr>
 823       </table>
 824   </td>
 825   <td class="mlabels-right">
 826 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 827   </tr>
 828 </table>
 829 </div><div class="memdoc">
 830
 831 <p>Return the Local-Workgroup-Size hint. </p>
 832 <dl class="section return"><dt>Returns</dt><dd>Current lws hint </dd></dl>
 833
 834 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00206">206</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 835
 836 <p>Referenced by <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00245">ICLKernel::get_target()</a>, <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00197">ICLKernel::set_lws_hint()</a>, and <a class="el" href="_tuner_8cpp_source.xhtml#l00044">arm_compute::test::validation::TEST_CASE()</a>.</p>
 837 <div class="fragment"><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    {</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;        <span class="keywordflow">return</span> _lws_hint;</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    }</div></div><!-- fragment -->
 838 </div>
 839 </div>
 840 <a class="anchor" id="a278f0e6c68ca17e71f4c4ff82f360aa0"></a>
 841 <div class="memitem">
 842 <div class="memproto">
 843 <table class="mlabels">
 844   <tr>
 845   <td class="mlabels-left">
 846       <table class="memname">
 847         <tr>
 848           <td class="memname">static constexpr unsigned int num_arguments_per_1D_array </td>
 849           <td>(</td>
 850           <td class="paramname"></td><td>)</td>
 851           <td></td>
 852         </tr>
 853       </table>
 854   </td>
 855   <td class="mlabels-right">
 856 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">static</span></span>  </td>
 857   </tr>
 858 </table>
 859 </div><div class="memdoc">
 860
 861 <p>Returns the number of arguments enqueued per 1D array object. </p>
 862 <dl class="section return"><dt>Returns</dt><dd>The number of arguments enqueues per 1D array object. </dd></dl>
 863
 864 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00136">136</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 865 <div class="fragment"><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    {</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;        <span class="keywordflow">return</span> num_arguments_per_array&lt;1&gt;();</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    }</div></div><!-- fragment -->
 866 </div>
 867 </div>
 868 <a class="anchor" id="a43b6c5e4b57069c5f61e96dff24c212d"></a>
 869 <div class="memitem">
 870 <div class="memproto">
 871 <table class="mlabels">
 872   <tr>
 873   <td class="mlabels-left">
 874       <table class="memname">
 875         <tr>
 876           <td class="memname">static constexpr unsigned int num_arguments_per_1D_tensor </td>
 877           <td>(</td>
 878           <td class="paramname"></td><td>)</td>
 879           <td></td>
 880         </tr>
 881       </table>
 882   </td>
 883   <td class="mlabels-right">
 884 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">static</span></span>  </td>
 885   </tr>
 886 </table>
 887 </div><div class="memdoc">
 888
 889 <p>Returns the number of arguments enqueued per 1D tensor object. </p>
 890 <dl class="section return"><dt>Returns</dt><dd>The number of arguments enqueues per 1D tensor object. </dd></dl>
 891
 892 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00144">144</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 893 <div class="fragment"><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    {</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;        <span class="keywordflow">return</span> num_arguments_per_tensor&lt;1&gt;();</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    }</div></div><!-- fragment -->
 894 </div>
 895 </div>
 896 <a class="anchor" id="a45601e0d46621a5b6f2e417d60e5c800"></a>
 897 <div class="memitem">
 898 <div class="memproto">
 899 <table class="mlabels">
 900   <tr>
 901   <td class="mlabels-left">
 902       <table class="memname">
 903         <tr>
 904           <td class="memname">static constexpr unsigned int num_arguments_per_2D_tensor </td>
 905           <td>(</td>
 906           <td class="paramname"></td><td>)</td>
 907           <td></td>
 908         </tr>
 909       </table>
 910   </td>
 911   <td class="mlabels-right">
 912 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">static</span></span>  </td>
 913   </tr>
 914 </table>
 915 </div><div class="memdoc">
 916
 917 <p>Returns the number of arguments enqueued per 2D tensor object. </p>
 918 <dl class="section return"><dt>Returns</dt><dd>The number of arguments enqueues per 2D tensor object. </dd></dl>
 919
 920 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00152">152</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 921 <div class="fragment"><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    {</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;        <span class="keywordflow">return</span> num_arguments_per_tensor&lt;2&gt;();</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    }</div></div><!-- fragment -->
 922 </div>
 923 </div>
 924 <a class="anchor" id="a6c9c1e7a7d96743375ca40847f0f12e2"></a>
 925 <div class="memitem">
 926 <div class="memproto">
 927 <table class="mlabels">
 928   <tr>
 929   <td class="mlabels-left">
 930       <table class="memname">
 931         <tr>
 932           <td class="memname">static constexpr unsigned int num_arguments_per_3D_tensor </td>
 933           <td>(</td>
 934           <td class="paramname"></td><td>)</td>
 935           <td></td>
 936         </tr>
 937       </table>
 938   </td>
 939   <td class="mlabels-right">
 940 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">static</span></span>  </td>
 941   </tr>
 942 </table>
 943 </div><div class="memdoc">
 944
 945 <p>Returns the number of arguments enqueued per 3D tensor object. </p>
 946 <dl class="section return"><dt>Returns</dt><dd>The number of arguments enqueues per 3D tensor object. </dd></dl>
 947
 948 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00160">160</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 949 <div class="fragment"><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    {</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;        <span class="keywordflow">return</span> num_arguments_per_tensor&lt;3&gt;();</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    }</div></div><!-- fragment -->
 950 </div>
 951 </div>
 952 <a class="anchor" id="a184fdf37587a9314cf12623accea6c73"></a>
 953 <div class="memitem">
 954 <div class="memproto">
 955 <table class="mlabels">
 956   <tr>
 957   <td class="mlabels-left">
 958       <table class="memname">
 959         <tr>
 960           <td class="memname">static constexpr unsigned int num_arguments_per_4D_tensor </td>
 961           <td>(</td>
 962           <td class="paramname"></td><td>)</td>
 963           <td></td>
 964         </tr>
 965       </table>
 966   </td>
 967   <td class="mlabels-right">
 968 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">static</span></span>  </td>
 969   </tr>
 970 </table>
 971 </div><div class="memdoc">
 972
 973 <p>Returns the number of arguments enqueued per 4D tensor object. </p>
 974 <dl class="section return"><dt>Returns</dt><dd>The number of arguments enqueues per 4D tensor object. </dd></dl>
 975
 976 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00168">168</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
 977
 978 <p>References <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#af6a174d47571f51f199ffc27ecc10f51">ICLKernel::run()</a>, and <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">IKernel::window()</a>.</p>
 979 <div class="fragment"><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    {</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;        <span class="keywordflow">return</span> num_arguments_per_tensor&lt;4&gt;();</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    }</div></div><!-- fragment -->
 980 </div>
 981 </div>
 982 <a class="anchor" id="af6a174d47571f51f199ffc27ecc10f51"></a>
 983 <div class="memitem">
 984 <div class="memproto">
 985 <table class="mlabels">
 986   <tr>
 987   <td class="mlabels-left">
 988       <table class="memname">
 989         <tr>
 990           <td class="memname">virtual void run </td>
 991           <td>(</td>
 992           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
 993           <td class="paramname"><em>window</em>, </td>
 994         </tr>
 995         <tr>
 996           <td class="paramkey"></td>
 997           <td></td>
 998           <td class="paramtype">cl::CommandQueue &amp;&#160;</td>
 999           <td class="paramname"><em>queue</em>&#160;</td>
1000         </tr>
1001         <tr>
1002           <td></td>
1003           <td>)</td>
1004           <td></td><td></td>
1005         </tr>
1006       </table>
1007   </td>
1008   <td class="mlabels-right">
1009 <span class="mlabels"><span class="mlabel">pure virtual</span></span>  </td>
1010   </tr>
1011 </table>
1012 </div><div class="memdoc">
1013
1014 <p>Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue. </p>
1015 <dl class="section note"><dt>Note</dt><dd>The queue is <em>not</em> flushed by this method, and therefore the kernel will not have been executed by the time this method returns.</dd></dl>
1016 <dl class="params"><dt>Parameters</dt><dd>
1017   <table class="params">
1018     <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td>Region on which to execute the kernel. (Must be a valid region of 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>). </td></tr>
1019     <tr><td class="paramdir">[in,out]</td><td class="paramname">queue</td><td>Command queue on which to enqueue the kernel. </td></tr>
1020   </table>
1021   </dd>
1022 </dl>
1023
1024 <p>Implemented in <a class="el" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLLogits1DNormKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLLKTrackerStage1Kernel</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLConvolutionRectangleKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLLogits1DMaxShiftExpSumKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLLKTrackerStage0Kernel</a>, <a class="el" href="classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLEdgeTraceKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpMatrixBReductionKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_l_k_tracker_finalize_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLLKTrackerFinalizeKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLCopyToArrayKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLSobel5x5VertKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLSobel7x7VertKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLHOGBlockNormalizationKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLIm2ColKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLMinMaxLocationKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLEdgeNonMaxSuppressionKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLWeightsReshapeKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_l_k_tracker_init_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLLKTrackerInitKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGaussianPyramidVertKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLHistogramBorderKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLLogits1DShiftExpSumKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLBatchNormalizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMTranspose1xWKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDirectConvolutionLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLCol2ImKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpOffsetContributionKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpMatrixAReductionKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMInterleave4x4Kernel</a>, <a class="el" href="classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLColorConvertKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMMatrixMultiplyKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthwiseIm2ColKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpMatrixMultiplyKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLL2NormalizeLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLPixelWiseMultiplicationKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDirectConvolutionLayerOutputStageKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLWinogradOutputTransformKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLArithmeticSubtractionKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLScharr3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLWinogradFilterTransformKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLArithmeticAdditionKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLConvertFullyConnectedWeightsKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLReductionOperationKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLChannelCombineKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDequantizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#ac8f1ca778b425c6408a93b672b041dd0">CLHOGDetectorKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLWinogradInputTransformKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthwiseVectorToTensorKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLHarrisScoreKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLMinMaxLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLPoolingLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLQuantizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLWidthConcatenateLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLActivationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDeconvolutionLayerUpsampleKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthwiseWeightsReshapeKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLFastCornersKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMMatrixAdditionKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLChannelExtractKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthwiseConvolutionLayer3x3NCHWKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthwiseConvolutionLayer3x3NHWCKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLFillBorderKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLLocallyConnectedMatrixMultiplyKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLNormalizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_permute_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLPermuteKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLChannelShuffleLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLIntegralImageVertKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLROIPoolingLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthConcatenateLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMMatrixVectorMultiplyKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLMagnitudePhaseKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMMatrixAccumulateBiasesKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLMeanStdDevKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLAbsoluteDifferenceKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLHOGOrientationBinningKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLSobel5x5HorKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLSobel7x7HorKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_derivative_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDerivativeKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLSobel3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLBitwiseAndKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLBitwiseOrKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLBitwiseXorKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_min_max_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLMinMaxKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_remap_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLRemapKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_gradient_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGradientKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_histogram_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLHistogramKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGaussianPyramidHorKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLReshapeLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_floor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLFloorKernel</a>, <a class="el" href="classarm__compute_1_1_c_l_copy_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLCopyKernel</a>, <a class="el" href="classarm__compute_1_1_i_c_l_simple3_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">ICLSimple3DKernel</a>, and <a class="el" href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">ICLSimple2DKernel</a>.</p>
1025
1026 <p>Referenced by <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00168">ICLKernel::num_arguments_per_4D_tensor()</a>.</p>
1027
1028 </div>
1029 </div>
1030 <a class="anchor" id="ad356b88c8f61267d593d9ed99835bde9"></a>
1031 <div class="memitem">
1032 <div class="memproto">
1033 <table class="mlabels">
1034   <tr>
1035   <td class="mlabels-left">
1036       <table class="memname">
1037         <tr>
1038           <td class="memname">void set_lws_hint </td>
1039           <td>(</td>
1040           <td class="paramtype">const cl::NDRange &amp;&#160;</td>
1041           <td class="paramname"><em>lws_hint</em></td><td>)</td>
1042           <td></td>
1043         </tr>
1044       </table>
1045   </td>
1046   <td class="mlabels-right">
1047 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
1048   </tr>
1049 </table>
1050 </div><div class="memdoc">
1051
1052 <p>Set the Local-Workgroup-Size hint. </p>
1053 <dl class="section note"><dt>Note</dt><dd>This method should be called after the configuration of the kernel</dd></dl>
1054 <dl class="params"><dt>Parameters</dt><dd>
1055   <table class="params">
1056     <tr><td class="paramdir">[in]</td><td class="paramname">lws_hint</td><td>Local-Workgroup-Size to use </td></tr>
1057   </table>
1058   </dd>
1059 </dl>
1060
1061 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00197">197</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
1062
1063 <p>References <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00206">ICLKernel::lws_hint()</a>.</p>
1064
1065 <p>Referenced by <a class="el" href="_tuner_8cpp_source.xhtml#l00044">arm_compute::test::validation::TEST_CASE()</a>.</p>
1066 <div class="fragment"><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    {</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;        _lws_hint = <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a0737b867334392d5dc5c2e3291d67dbf">lws_hint</a>;</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;    }</div><div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a0737b867334392d5dc5c2e3291d67dbf"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a0737b867334392d5dc5c2e3291d67dbf">arm_compute::ICLKernel::lws_hint</a></div><div class="ttdeci">cl::NDRange lws_hint() const </div><div class="ttdoc">Return the Local-Workgroup-Size hint. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00206">ICLKernel.h:206</a></div></div>
1067 </div><!-- fragment -->
1068 </div>
1069 </div>
1070 <a class="anchor" id="ad5ba9d34a3a855bf1dd2e36316ff550a"></a>
1071 <div class="memitem">
1072 <div class="memproto">
1073 <table class="mlabels">
1074   <tr>
1075   <td class="mlabels-left">
1076       <table class="memname">
1077         <tr>
1078           <td class="memname">void set_target </td>
1079           <td>(</td>
1080           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a>&#160;</td>
1081           <td class="paramname"><em>target</em></td><td>)</td>
1082           <td></td>
1083         </tr>
1084       </table>
1085   </td>
1086   <td class="mlabels-right">
1087 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
1088   </tr>
1089 </table>
1090 </div><div class="memdoc">
1091
1092 <p>Set the targeted GPU architecture. </p>
1093 <dl class="params"><dt>Parameters</dt><dd>
1094   <table class="params">
1095     <tr><td class="paramdir">[in]</td><td class="paramname">target</td><td>The targeted GPU architecture </td></tr>
1096   </table>
1097   </dd>
1098 </dl>
1099
1100 <p>Definition at line <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00230">230</a> of file <a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a>.</p>
1101
1102 <p>Referenced by <a class="el" href="_tuner_8cpp_source.xhtml#l00044">arm_compute::test::validation::TEST_CASE()</a>.</p>
1103 <div class="fragment"><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;    {</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;        _target = target;</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;    }</div></div><!-- fragment -->
1104 </div>
1105 </div>
1106 <a class="anchor" id="a57e5f498fcbfc25c28b8496dfa3fc33c"></a>
1107 <div class="memitem">
1108 <div class="memproto">
1109       <table class="memname">
1110         <tr>
1111           <td class="memname">void set_target </td>
1112           <td>(</td>
1113           <td class="paramtype">cl::Device &amp;&#160;</td>
1114           <td class="paramname"><em>device</em></td><td>)</td>
1115           <td></td>
1116         </tr>
1117       </table>
1118 </div><div class="memdoc">
1119
1120 <p>Set the targeted GPU architecture according to the CL device. </p>
1121 <dl class="params"><dt>Parameters</dt><dd>
1122   <table class="params">
1123     <tr><td class="paramdir">[in]</td><td class="paramname">device</td><td>A CL device </td></tr>
1124   </table>
1125   </dd>
1126 </dl>
1127
1128 </div>
1129 </div>
1130 <hr/>The documentation for this class was generated from the following file:<ul>
1131 <li>arm_compute/core/CL/<a class="el" href="_i_c_l_kernel_8h_source.xhtml">ICLKernel.h</a></li>
1132 </ul>
1133 </div><!-- contents -->
1134 </div><!-- doc-content -->
1135 <!-- start footer part -->
1136 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
1137   <ul>
1138     <li class="navelem"><a class="el" href="namespacearm__compute.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml">ICLKernel</a></li>
1139     <li class="footer">Generated on Wed May 23 2018 11:36:41 for Compute Library by
1140     <a href="http://www.doxygen.org/index.html">
1141     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
1142   </ul>
1143 </div>
1144 </body>
1145 </html>