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 120 <a href="_i_c_l_kernel_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2016, 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_ICLKERNEL_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_ICLKERNEL_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_kernel_library_8h.xhtml">arm_compute/core/CL/CLKernelLibrary.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_types_8h.xhtml">arm_compute/core/CL/CLTypes.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_open_c_l_8h.xhtml">arm_compute/core/CL/OpenCL.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preproces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onst</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window);</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a33e09c946b338fbfc780a9d1c66e68ad">add_4D_tensor_argument</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &amp;idx, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window);</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a99fde125501fae43952af222c91236cd">num_arguments_per_1D_array</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a770f45838881fc061294e56d64f34386">num_arguments_per_1D_tensor</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac734502531e7f95e25b3bf688a304a59">num_arguments_per_2D_tensor</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a4feaae9c860cddfa843d37c953674a22">num_arguments_per_3D_tensor</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#af24df23a978e1a46ff6714e9b9d3eef9">num_arguments_per_4D_tensor</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#af6a174d47571f51f199ffc27ecc10f51">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window, cl::CommandQueue &amp;queue) = 0;</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a50f427a1d9419800972b9e03c4034311">  129</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a50f427a1d9419800972b9e03c4034311">add_argument</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &amp;idx, T <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>)</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    {</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;        _kernel.setArg(idx++, value);</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    }</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a44c701b9dbd01a171de4928254d1ecbf">  140</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a44c701b9dbd01a171de4928254d1ecbf">set_lws_hint</a>(cl::NDRange &amp;lws_hint)</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;    {</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;        _lws_hint = lws_hint;</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    }</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;</div><div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a226d2e9e6d3c42d681666566fe950b2d">  155</a></span>&#160;    <span class="keyword">const</span> std::string &amp;<a class="code" href="classarm__compute_1_1_i_c_l_kernel.xh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 class="keywordtype">unsigned</span> <span class="keywordtype">int</span>           num_arguments_per_tensor() <span class="keyword">const</span>;</div><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="keyword">protected</span>:</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    cl::Kernel  _kernel;             </div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    cl::NDRange _lws_hint;           </div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a>   _target;             </div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    std::string _config_id;          </div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;    <span class="keywordtype">size_t</span>      _max_workgroup_size; </div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;};</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute.xhtml#a0f68015f649819f1102aa73d7b88b29e">enqueue</a>(cl::CommandQueue &amp;queue, <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml">ICLKernel</a> &amp;<a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ae5121015ab09ece4d470f50c7ffe198e">kernel</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, <span class="keyword">const</span> cl::NDRange &amp;lws_hint = <a class="code" href="classarm__compute_1_1_c_l_kernel_library.xhtml#aebe2d25607545d31f2b1ace6d60a81da">CLKernelLibrary::get</a>().default_ndrange());</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimension_size&gt;</div><div class="line"><a name="l00247"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2d7c6b5f3332604ad6a637457f65c342">  247</a></span>&#160;<span class="keywordtype">void</span> ICLKernel::add_array_argument(<span class="keywordtype">unsigned</span> &amp;idx, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_array.xhtml">ICLArray&lt;T&gt;</a> *array, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;strides, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_dimensions, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window)</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;{</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;    <span class="comment">// Calculate offset to the start of the window</span></div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> offset_first_element = 0;</div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;</div><div class="line"><a name="l00252"></a><span class="lineno">  252</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="l00253"></a><span class="lineno">  253</span>&#160;    {</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;        offset_first_element += window[n].start() * strides[n];</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;    }</div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx_start = idx;</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;    _kernel.setArg(idx++, array-&gt;<a class="code" href="classarm__compute_1_1_i_c_l_array.xhtml#a1fb4c50755a0ef424652246838ed91a6">cl_buffer</a>());</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;</div><div class="line"><a name="l00260"></a><span class="lineno">  260</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="l00261"></a><span class="lineno">  261</span>&#160;    {</div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;        _kernel.setArg&lt;cl_uint&gt;(idx++, strides[dimension]);</div><div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;        _kernel.setArg&lt;cl_uint&gt;(idx++, strides[dimension] * window[dimension].step());</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    }</div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;</div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;    _kernel.setArg&lt;cl_uint&gt;(idx++, offset_first_element);</div><div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;</div><div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;    <a class="code" href="core_2_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="l00269"></a><span class="lineno">  269</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="l00270"></a><span class="lineno">  270</span>&#160;    <a class="code" href="core_2_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a>(idx_start);</div><div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;}</div><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;</div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00274"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a9331d385192a50adf74d3af40ce0fa20">  274</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a9331d385192a50adf74d3af40ce0fa20">ICLKernel::add_1D_array_argument</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &amp;idx, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_array.xhtml">ICLArray&lt;T&gt;</a> *array, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;strides, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_dimensions, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window)</div><div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;{</div><div class="line"><a name="l00276"></a><span class="lineno">  276</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="l00277"></a><span class="lineno">  277</span>&#160;}</div><div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;</div><div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimension_size&gt;</div><div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>           ICLKernel::num_arguments_per_array()<span class="keyword"> const</span></div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;    <span class="keywordflow">return</span> num_arguments_per_tensor&lt;dimension_size&gt;();</div><div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;}</div><div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;</div><div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimension_size&gt;</div><div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>           ICLKernel::num_arguments_per_tensor()<span class="keyword"> const</span></div><div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;    <span class="keywordflow">return</span> 2 + 2 * dimension_size;</div><div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;}</div><div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;}</div><div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_ICLKERNEL_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml">arm_compute::IKernel</a></div><div class="ttdoc">Common information for all the kernels. </div><div class="ttdef"><b>Definition:</b> <a href="_i_kernel_8h_source.xhtml#l00033">IKernel.h:33</a></div></div>
 121 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a4feaae9c860cddfa843d37c953674a22"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a4feaae9c860cddfa843d37c953674a22">arm_compute::ICLKernel::num_arguments_per_3D_tensor</a></div><div class="ttdeci">unsigned int num_arguments_per_3D_tensor() const </div><div class="ttdoc">Returns the number of arguments enqueued per 3D tensor object. </div></div>
 122 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_ae5121015ab09ece4d470f50c7ffe198e"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ae5121015ab09ece4d470f50c7ffe198e">arm_compute::ICLKernel::kernel</a></div><div class="ttdeci">cl::Kernel &amp; kernel()</div><div class="ttdoc">Returns a reference to the OpenCL kernel of this object. </div></div>
 123 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a50f427a1d9419800972b9e03c4034311"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a50f427a1d9419800972b9e03c4034311">arm_compute::ICLKernel::add_argument</a></div><div class="ttdeci">void add_argument(unsigned int &amp;idx, T value)</div><div class="ttdoc">Add the passed parameters to the object&amp;#39;s kernel&amp;#39;s arguments starting from the index idx...</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00129">ICLKernel.h:129</a></div></div>
 124 <div class="ttc" id="_c_l_types_8h_xhtml"><div class="ttname"><a href="_c_l_types_8h.xhtml">CLTypes.h</a></div></div>
 125 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a9331d385192a50adf74d3af40ce0fa20"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a9331d385192a50adf74d3af40ce0fa20">arm_compute::ICLKernel::add_1D_array_argument</a></div><div class="ttdeci">void add_1D_array_argument(unsigned int &amp;idx, const ICLArray&lt; T &gt; *array, const Strides &amp;strides, unsigned int num_dimensions, const Window &amp;window)</div><div class="ttdoc">Add the passed 1D array&amp;#39;s parameters to the object&amp;#39;s kernel&amp;#39;s arguments starting from the index idx...</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00274">ICLKernel.h:274</a></div></div>
 126 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a770f45838881fc061294e56d64f34386"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a770f45838881fc061294e56d64f34386">arm_compute::ICLKernel::num_arguments_per_1D_tensor</a></div><div class="ttdeci">unsigned int num_arguments_per_1D_tensor() const </div><div class="ttdoc">Returns the number of arguments enqueued per 1D tensor object. </div></div>
 127 <div class="ttc" id="_i_kernel_8h_xhtml"><div class="ttname"><a href="_i_kernel_8h.xhtml">IKernel.h</a></div></div>
 128 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml">arm_compute::ICLKernel</a></div><div class="ttdoc">Common interface for all the OpenCL kernels. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00042">ICLKernel.h:42</a></div></div>
 129 <div class="ttc" id="core_2_error_8h_xhtml_a4103adbb45806b2f2002d44b91d0d206"><div class="ttname"><a href="core_2_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(var)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="core_2_error_8h_source.xhtml#l00147">Error.h:147</a></div></div>
 130 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a28f5847162f352444c6ac1825d0e99c7"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">arm_compute::ICLKernel::add_3D_tensor_argument</a></div><div class="ttdeci">void add_3D_tensor_argument(unsigned int &amp;idx, const ICLTensor *tensor, const Window &amp;window)</div><div class="ttdoc">Add the passed 3D tensor&amp;#39;s parameters to the object&amp;#39;s kernel&amp;#39;s arguments starting from the index idx...</div></div>
 131 <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="01__library_8dox_source.xhtml#l00001">01_library.dox:1</a></div></div>
 132 <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>
 133 <div class="ttc" id="classarm__compute_1_1_i_c_l_array_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_array.xhtml">arm_compute::ICLArray</a></div><div class="ttdoc">Interface for OpenCL Array. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_array_8h_source.xhtml#l00035">ICLArray.h:35</a></div></div>
 134 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_ac734502531e7f95e25b3bf688a304a59"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac734502531e7f95e25b3bf688a304a59">arm_compute::ICLKernel::num_arguments_per_2D_tensor</a></div><div class="ttdeci">unsigned int num_arguments_per_2D_tensor() const </div><div class="ttdoc">Returns the number of arguments enqueued per 2D tensor object. </div></div>
 135 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a44c701b9dbd01a171de4928254d1ecbf"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a44c701b9dbd01a171de4928254d1ecbf">arm_compute::ICLKernel::set_lws_hint</a></div><div class="ttdeci">void set_lws_hint(cl::NDRange &amp;lws_hint)</div><div class="ttdoc">Set the Local-Workgroup-Size hint. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00140">ICLKernel.h:140</a></div></div>
 136 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a646cd535a16835b246c3367a63d96250"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a646cd535a16835b246c3367a63d96250">arm_compute::ICLKernel::get_target</a></div><div class="ttdeci">GPUTarget get_target() const </div><div class="ttdoc">Get the targeted GPU architecture. </div></div>
 137 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a226d2e9e6d3c42d681666566fe950b2d"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a226d2e9e6d3c42d681666566fe950b2d">arm_compute::ICLKernel::config_id</a></div><div class="ttdeci">const std::string &amp; config_id() const </div><div class="ttdoc">Get the configuration ID. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00155">ICLKernel.h:155</a></div></div>
 138 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a4b4a20e518c04e657839280cd486a85d"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a4b4a20e518c04e657839280cd486a85d">arm_compute::ICLKernel::gws_from_window</a></div><div class="ttdeci">static cl::NDRange gws_from_window(const Window &amp;window)</div><div class="ttdoc">Get the global work size given an execution window. </div></div>
 139 <div class="ttc" id="hwc_8hpp_xhtml_a0f61d63b009d0880a89c843bd50d8d76"><div class="ttname"><a href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a></div><div class="ttdeci">void * value</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00269">hwc.hpp:269</a></div></div>
 140 <div class="ttc" id="classarm__compute_1_1_strides_xhtml"><div class="ttname"><a href="classarm__compute_1_1_strides.xhtml">arm_compute::Strides</a></div><div class="ttdoc">Strides of an item in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_strides_8h_source.xhtml#l00037">Strides.h:37</a></div></div>
 141 <div class="ttc" id="namespacearm__compute_xhtml_a0f68015f649819f1102aa73d7b88b29e"><div class="ttname"><a href="namespacearm__compute.xhtml#a0f68015f649819f1102aa73d7b88b29e">arm_compute::enqueue</a></div><div class="ttdeci">void enqueue(cl::CommandQueue &amp;queue, ICLKernel &amp;kernel, const Window &amp;window, const cl::NDRange &amp;lws_hint=CLKernelLibrary::get().default_ndrange())</div><div class="ttdoc">Add the kernel to the command queue with the given window. </div></div>
 142 <div class="ttc" id="namespacearm__compute_xhtml_af87af588094f04e537df98eaf0426cb6"><div class="ttname"><a href="namespacearm__compute.xhtml#af87af588094f04e537df98eaf0426cb6">arm_compute::ICLTensor</a></div><div class="ttdeci">ICLImage ICLTensor</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_histogram_8h_source.xhtml#l00034">CLHistogram.h:34</a></div></div>
 143 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_af6a174d47571f51f199ffc27ecc10f51"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#af6a174d47571f51f199ffc27ecc10f51">arm_compute::ICLKernel::run</a></div><div class="ttdeci">virtual void run(const Window &amp;window, cl::CommandQueue &amp;queue)=0</div><div class="ttdoc">Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue...</div></div>
 144 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_ac74dad3e61f79334f5e73f3c3ac603cb"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac74dad3e61f79334f5e73f3c3ac603cb">arm_compute::ICLKernel::add_2D_tensor_argument</a></div><div class="ttdeci">void add_2D_tensor_argument(unsigned int &amp;idx, const ICLTensor *tensor, const Window &amp;window)</div><div class="ttdoc">Add the passed 2D tensor&amp;#39;s parameters to the object&amp;#39;s kernel&amp;#39;s arguments starting from the index idx...</div></div>
 145 <div class="ttc" id="classarm__compute_1_1_i_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_tensor.xhtml">arm_compute::ICLTensor</a></div><div class="ttdoc">Interface for OpenCL tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_tensor_8h_source.xhtml#l00040">ICLTensor.h:40</a></div></div>
 146 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a6b10e96ce90bf901d17def86b874b019"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6b10e96ce90bf901d17def86b874b019">arm_compute::ICLKernel::ICLKernel</a></div><div class="ttdeci">ICLKernel()</div><div class="ttdoc">Constructor. </div></div>
 147 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a99fde125501fae43952af222c91236cd"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a99fde125501fae43952af222c91236cd">arm_compute::ICLKernel::num_arguments_per_1D_array</a></div><div class="ttdeci">unsigned int num_arguments_per_1D_array() const </div><div class="ttdoc">Returns the number of arguments enqueued per 1D array object. </div></div>
 148 <div class="ttc" id="namespacearm__compute_xhtml_a735ac6c2a02e320969625308810444f3"><div class="ttname"><a href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">arm_compute::GPUTarget</a></div><div class="ttdeci">GPUTarget</div><div class="ttdoc">Available GPU Targets. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_types_8h_source.xhtml#l00035">CLTypes.h:35</a></div></div>
 149 <div class="ttc" id="_c_l_kernel_library_8h_xhtml"><div class="ttname"><a href="_c_l_kernel_library_8h.xhtml">CLKernelLibrary.h</a></div></div>
 150 <div class="ttc" id="core_2_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="core_2_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="core_2_error_8h_source.xhtml#l00297">Error.h:297</a></div></div>
 151 <div class="ttc" id="_open_c_l_8h_xhtml"><div class="ttname"><a href="_open_c_l_8h.xhtml">OpenCL.h</a></div></div>
 152 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_abca336f832d730e8494049bd714df60a"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#abca336f832d730e8494049bd714df60a">arm_compute::ICLKernel::get_max_workgroup_size</a></div><div class="ttdeci">size_t get_max_workgroup_size()</div><div class="ttdoc">Get the maximum workgroup size for the device the CLKernelLibrary uses. </div></div>
 153 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_ad5ba9d34a3a855bf1dd2e36316ff550a"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ad5ba9d34a3a855bf1dd2e36316ff550a">arm_compute::ICLKernel::set_target</a></div><div class="ttdeci">void set_target(GPUTarget target)</div><div class="ttdoc">Set the targeted GPU architecture. </div></div>
 154 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a479e7043e65dc87de35d374e108510f7"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a479e7043e65dc87de35d374e108510f7">arm_compute::ICLKernel::add_1D_tensor_argument</a></div><div class="ttdeci">void add_1D_tensor_argument(unsigned int &amp;idx, const ICLTensor *tensor, const Window &amp;window)</div><div class="ttdoc">Add the passed 1D tensor&amp;#39;s parameters to the object&amp;#39;s kernel&amp;#39;s arguments starting from the index idx...</div></div>
 155 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a33e09c946b338fbfc780a9d1c66e68ad"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a33e09c946b338fbfc780a9d1c66e68ad">arm_compute::ICLKernel::add_4D_tensor_argument</a></div><div class="ttdeci">void add_4D_tensor_argument(unsigned int &amp;idx, const ICLTensor *tensor, const Window &amp;window)</div><div class="ttdoc">Add the passed 4D tensor&amp;#39;s parameters to the object&amp;#39;s kernel&amp;#39;s arguments starting from the index idx...</div></div>
 156 <div class="ttc" id="classarm__compute_1_1_i_c_l_array_xhtml_a1fb4c50755a0ef424652246838ed91a6"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_array.xhtml#a1fb4c50755a0ef424652246838ed91a6">arm_compute::ICLArray::cl_buffer</a></div><div class="ttdeci">virtual const cl::Buffer &amp; cl_buffer() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return a reference to the OpenCL buffer containing ...</div></div>
 157 <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_af24df23a978e1a46ff6714e9b9d3eef9"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#af24df23a978e1a46ff6714e9b9d3eef9">arm_compute::ICLKernel::num_arguments_per_4D_tensor</a></div><div class="ttdeci">unsigned int num_arguments_per_4D_tensor() const </div><div class="ttdoc">Returns the number of arguments enqueued per 4D tensor object. </div></div>
 158 <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>
 159 <div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div>
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