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<div id="projectname">Compute Library
-  <span id="projectnumber">18.02</span>
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<div class="title">CLDirectConvolutionLayerKernel.h</div> </div>
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<div class="contents">
-<a href="_c_l_direct_convolution_layer_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> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <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> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <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> <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> <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> <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> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <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> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <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> <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> <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> <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> <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> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#ifndef __ARM_COMPUTE_CLDIRECTCONVOLUTIONLAYERKERNEL_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_CLDIRECTCONVOLUTIONLAYERKERNEL_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_i_c_l_kernel_8h.xhtml">arm_compute/core/CL/ICLKernel.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">class </span><a class="code" href="namespacearm__compute.xhtml#af87af588094f04e537df98eaf0426cb6">ICLTensor</a>;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml"> 36</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml">CLDirectConvolutionLayerKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml">ICLKernel</a></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a8c384e82445ca3f6f481f04295bcf3a9">CLDirectConvolutionLayerKernel</a>();</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a8c384e82445ca3f6f481f04295bcf3a9">CLDirectConvolutionLayerKernel</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml">CLDirectConvolutionLayerKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml">CLDirectConvolutionLayerKernel</a> &<a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a9d67d33e783823b114897ea8c63a6470">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml">CLDirectConvolutionLayerKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a8c384e82445ca3f6f481f04295bcf3a9">CLDirectConvolutionLayerKernel</a>(<a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml">CLDirectConvolutionLayerKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml">CLDirectConvolutionLayerKernel</a> &<a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a9d67d33e783823b114897ea8c63a6470">operator=</a>(<a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml">CLDirectConvolutionLayerKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a050c832adce3b274f8daacedd0558dc8">~CLDirectConvolutionLayerKernel</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a0e2cfb6fb263bd6f761756c816574345">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *biases, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &conv_info);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">static</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a38b4390531d1d720c325a33de97bc4d8">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *biases, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &conv_info, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> target);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, cl::CommandQueue &queue) <span class="keyword">override</span>;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_input;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_biases;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_weights;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_output;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> _border_size;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordtype">int</span> _conv_stride_x;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordtype">int</span> _conv_stride_y;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> };</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_CLDIRECTCONVOLUTIONLAYERKERNEL_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00229">Types.h:229</a></div></div>
+<a href="_c_l_direct_convolution_layer_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> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <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> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <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> <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> <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> <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> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <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> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <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> <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> <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> <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> <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> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#ifndef __ARM_COMPUTE_CLDIRECTCONVOLUTIONLAYERKERNEL_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_CLDIRECTCONVOLUTIONLAYERKERNEL_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_i_c_l_kernel_8h.xhtml">arm_compute/core/CL/ICLKernel.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">class </span>ICLTensor;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml"> 36</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml">CLDirectConvolutionLayerKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml">ICLKernel</a></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a8c384e82445ca3f6f481f04295bcf3a9">CLDirectConvolutionLayerKernel</a>();</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a8c384e82445ca3f6f481f04295bcf3a9">CLDirectConvolutionLayerKernel</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml">CLDirectConvolutionLayerKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml">CLDirectConvolutionLayerKernel</a> &<a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a9d67d33e783823b114897ea8c63a6470">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml">CLDirectConvolutionLayerKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a8c384e82445ca3f6f481f04295bcf3a9">CLDirectConvolutionLayerKernel</a>(<a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml">CLDirectConvolutionLayerKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml">CLDirectConvolutionLayerKernel</a> &<a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a9d67d33e783823b114897ea8c63a6470">operator=</a>(<a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml">CLDirectConvolutionLayerKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a050c832adce3b274f8daacedd0558dc8">~CLDirectConvolutionLayerKernel</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a0e2cfb6fb263bd6f761756c816574345">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *biases, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf">conv_info</a>);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">static</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a38b4390531d1d720c325a33de97bc4d8">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *biases, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &conv_info, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> target);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, cl::CommandQueue &queue) <span class="keyword">override</span>;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53"> 92</a></span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *<a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53">_input</a>;</div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a95ba9da2ab49208dfa0d4642c8f7b23b"> 93</a></span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *<a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a95ba9da2ab49208dfa0d4642c8f7b23b">_biases</a>;</div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a6fc108ac852099117f9c722f2afe2cb8"> 94</a></span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *<a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a6fc108ac852099117f9c722f2afe2cb8">_weights</a>;</div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a62d192d931002b4866443cd7fc71419b"> 95</a></span>  <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *<a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a62d192d931002b4866443cd7fc71419b">_output</a>;</div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a2e0cdcd6999269beea6b9512ad41f3d4"> 96</a></span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a2e0cdcd6999269beea6b9512ad41f3d4">_border_size</a>;</div><div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#aeebcff33f13042b2527755e294f5d53e"> 97</a></span>  <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#aeebcff33f13042b2527755e294f5d53e">_conv_stride_x</a>;</div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a862a2fc55a07b4d6a7e4e23cb11ff323"> 98</a></span>  <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a862a2fc55a07b4d6a7e4e23cb11ff323">_conv_stride_y</a>;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> };</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_CLDIRECTCONVOLUTIONLAYERKERNEL_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_c_l_direct_convolution_layer_kernel_xhtml_a6fc108ac852099117f9c722f2afe2cb8"><div class="ttname"><a href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a6fc108ac852099117f9c722f2afe2cb8">arm_compute::CLDirectConvolutionLayerKernel::_weights</a></div><div class="ttdeci">const ICLTensor * _weights</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_direct_convolution_layer_kernel_8h_source.xhtml#l00094">CLDirectConvolutionLayerKernel.h:94</a></div></div>
+<div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00291">Types.h:291</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_direct_convolution_layer_kernel_xhtml_a050c832adce3b274f8daacedd0558dc8"><div class="ttname"><a href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a050c832adce3b274f8daacedd0558dc8">arm_compute::CLDirectConvolutionLayerKernel::~CLDirectConvolutionLayerKernel</a></div><div class="ttdeci">~CLDirectConvolutionLayerKernel()=default</div><div class="ttdoc">Default destructor. </div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_direct_convolution_layer_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml">arm_compute::CLDirectConvolutionLayerKernel</a></div><div class="ttdoc">Interface for the direct convolution kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_direct_convolution_layer_kernel_8h_source.xhtml#l00036">CLDirectConvolutionLayerKernel.h:36</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_c_l_direct_convolution_layer_kernel_xhtml_a62d192d931002b4866443cd7fc71419b"><div class="ttname"><a href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a62d192d931002b4866443cd7fc71419b">arm_compute::CLDirectConvolutionLayerKernel::_output</a></div><div class="ttdeci">ICLTensor * _output</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_direct_convolution_layer_kernel_8h_source.xhtml#l00095">CLDirectConvolutionLayerKernel.h:95</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor&#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class. </div><div class="ttdef"><b>Definition:</b> <a href="core_2_error_8h_source.xhtml#l00039">Error.h:39</a></div></div>
-<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>
-<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>
+<div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00051">Error.h:51</a></div></div>
+<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#l00043">ICLKernel.h:43</a></div></div>
+<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="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_direct_convolution_layer_kernel_xhtml_a493987e85723a8000eb26d1f00e2ad0e"><div class="ttname"><a href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">arm_compute::CLDirectConvolutionLayerKernel::run</a></div><div class="ttdeci">void run(const Window &window, cl::CommandQueue &queue) override</div><div class="ttdoc">Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue...</div></div>
+<div class="ttc" id="classarm__compute_1_1_c_l_direct_convolution_layer_kernel_xhtml_a2e0cdcd6999269beea6b9512ad41f3d4"><div class="ttname"><a href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a2e0cdcd6999269beea6b9512ad41f3d4">arm_compute::CLDirectConvolutionLayerKernel::_border_size</a></div><div class="ttdeci">BorderSize _border_size</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_direct_convolution_layer_kernel_8h_source.xhtml#l00096">CLDirectConvolutionLayerKernel.h:96</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_c_l_direct_convolution_layer_kernel_xhtml_a862a2fc55a07b4d6a7e4e23cb11ff323"><div class="ttname"><a href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a862a2fc55a07b4d6a7e4e23cb11ff323">arm_compute::CLDirectConvolutionLayerKernel::_conv_stride_y</a></div><div class="ttdeci">int _conv_stride_y</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_direct_convolution_layer_kernel_8h_source.xhtml#l00098">CLDirectConvolutionLayerKernel.h:98</a></div></div>
<div class="ttc" id="_i_c_l_kernel_8h_xhtml"><div class="ttname"><a href="_i_c_l_kernel_8h.xhtml">ICLKernel.h</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00491">Types.h:491</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00571">Types.h:571</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_direct_convolution_layer_kernel_xhtml_a9d67d33e783823b114897ea8c63a6470"><div class="ttname"><a href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a9d67d33e783823b114897ea8c63a6470">arm_compute::CLDirectConvolutionLayerKernel::operator=</a></div><div class="ttdeci">CLDirectConvolutionLayerKernel & operator=(const CLDirectConvolutionLayerKernel &)=delete</div><div class="ttdoc">Prevent instances of this class from being copied (As this class contains pointers) ...</div></div>
-<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>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acbf8f8a6dd185de04c1981c57a8963cf"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00360">Winograd.cpp:360</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_c_l_direct_convolution_layer_kernel_xhtml_a1acfeaa60695d4df61d8d4b5c905aa53"><div class="ttname"><a href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53">arm_compute::CLDirectConvolutionLayerKernel::_input</a></div><div class="ttdeci">const ICLTensor * _input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_direct_convolution_layer_kernel_8h_source.xhtml#l00092">CLDirectConvolutionLayerKernel.h:92</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_c_l_direct_convolution_layer_kernel_xhtml_aeebcff33f13042b2527755e294f5d53e"><div class="ttname"><a href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#aeebcff33f13042b2527755e294f5d53e">arm_compute::CLDirectConvolutionLayerKernel::_conv_stride_x</a></div><div class="ttdeci">int _conv_stride_x</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_direct_convolution_layer_kernel_8h_source.xhtml#l00097">CLDirectConvolutionLayerKernel.h:97</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_direct_convolution_layer_kernel_xhtml_a423f9a45a52983b4de5e2b347f4369c7"><div class="ttname"><a href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">arm_compute::CLDirectConvolutionLayerKernel::border_size</a></div><div class="ttdeci">BorderSize border_size() const override</div><div class="ttdoc">The size of the border for that kernel. </div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_direct_convolution_layer_kernel_xhtml_a8c384e82445ca3f6f481f04295bcf3a9"><div class="ttname"><a href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a8c384e82445ca3f6f481f04295bcf3a9">arm_compute::CLDirectConvolutionLayerKernel::CLDirectConvolutionLayerKernel</a></div><div class="ttdeci">CLDirectConvolutionLayerKernel()</div><div class="ttdoc">Default constructor. </div></div>
<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>
-<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>
+<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="_g_p_u_target_8h_source.xhtml#l00034">GPUTarget.h:34</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_c_l_direct_convolution_layer_kernel_xhtml_a95ba9da2ab49208dfa0d4642c8f7b23b"><div class="ttname"><a href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a95ba9da2ab49208dfa0d4642c8f7b23b">arm_compute::CLDirectConvolutionLayerKernel::_biases</a></div><div class="ttdeci">const ICLTensor * _biases</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_direct_convolution_layer_kernel_8h_source.xhtml#l00093">CLDirectConvolutionLayerKernel.h:93</a></div></div>
<div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></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 & window() const </div><div class="ttdoc">The maximum window the kernel can be executed on. </div></div>
<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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<li class="navelem"><a class="el" href="dir_214608ef36d61442cb2b0c1c4e9a7def.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="dir_1fb090f0c6070330bfaccc4236d3ca0d.xhtml">core</a></li><li class="navelem"><a class="el" href="dir_1633709b037eda5b8477677909f78129.xhtml">CL</a></li><li class="navelem"><a class="el" href="dir_f906bbebc596bc606d589ccb705e6595.xhtml">kernels</a></li><li class="navelem"><a class="el" href="_c_l_direct_convolution_layer_kernel_8h.xhtml">CLDirectConvolutionLayerKernel.h</a></li>
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