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<div class="title">NEWinogradLayerKernel.h</div> </div>
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<a href="_n_e_winograd_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>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2017-2018 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_NEGEMMWINOGRADLAYERKERNEL_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_NEGEMMWINOGRADLAYERKERNEL_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="_i_n_e_kernel_8h.xhtml">arm_compute/core/NEON/INEKernel.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;arm_compute/core/NEON/kernels/winograd/convolution.hpp&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &quot;arm_compute/core/NEON/kernels/winograd/tensor.hpp&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;{</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="keyword">class </span>ITensor;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="keyword">class </span>NEWinogradLayerKernel;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_winograd3x3_f32.xhtml"> 36</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_winograd3x3_f32.xhtml">Winograd3x3F32</a> final</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;{</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_winograd3x3_f32.xhtml#a20382f2c4f5f8cfd34896c7efe2506b1"> 54</a></span>&#160; <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_winograd_layer_kernel.xhtml">NEWinogradLayerKernel</a>;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <a class="code" href="classarm__compute_1_1_winograd3x3_f32.xhtml#ad95a08fe675ee862b2bd0f378c492297">Winograd3x3F32</a>(</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> n_batches,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> n_input_channels,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> n_input_rows,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> n_input_cols,</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> n_output_channels,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> same_padding,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> *<span class="keyword">const</span> weights,</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keywordtype">float</span> *<span class="keyword">const</span> weights_storage,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> *<span class="keyword">const</span> input,</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keywordtype">float</span> *<span class="keyword">const</span> winograd_input,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordtype">float</span> *<span class="keyword">const</span> output,</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordtype">float</span> *<span class="keyword">const</span> winograd_output);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <a class="code" href="classarm__compute_1_1_winograd3x3_f32.xhtml#a39afe97f3489074b5eabfb447011edce">~Winograd3x3F32</a>();</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_winograd3x3_f32.xhtml#afb88084e7ba971a01cb89654b48a077f">transform_weights</a>();</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_winograd3x3_f32.xhtml#a1b74c5a552d468e90f2a32b36950b6ad">transform_input</a>();</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_winograd3x3_f32.xhtml#a9450a57c8bbf78ebaa0f69d2d718772e">transform_output</a>();</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keyword">class </span>Private;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; std::unique_ptr&lt;Private&gt; _pimpl;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;};</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_winograd_layer_kernel.xhtml"> 79</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_winograd_layer_kernel.xhtml">NEWinogradLayerKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">INEKernel</a></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;{</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <a class="code" href="classarm__compute_1_1_winograd3x3_f32.xhtml#a20382f2c4f5f8cfd34896c7efe2506b1">NEWinogradLayerKernel</a>();</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <a class="code" href="classarm__compute_1_1_winograd3x3_f32.xhtml#a20382f2c4f5f8cfd34896c7efe2506b1">NEWinogradLayerKernel</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_n_e_winograd_layer_kernel.xhtml">NEWinogradLayerKernel</a> &amp;) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_winograd_layer_kernel.xhtml">NEWinogradLayerKernel</a> &amp;operator=(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_n_e_winograd_layer_kernel.xhtml">NEWinogradLayerKernel</a> &amp;) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <a class="code" href="classarm__compute_1_1_winograd3x3_f32.xhtml#a20382f2c4f5f8cfd34896c7efe2506b1">NEWinogradLayerKernel</a>(<a class="code" href="classarm__compute_1_1_n_e_winograd_layer_kernel.xhtml">NEWinogradLayerKernel</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_winograd_layer_kernel.xhtml">NEWinogradLayerKernel</a> &amp;operator=(<a class="code" href="classarm__compute_1_1_n_e_winograd_layer_kernel.xhtml">NEWinogradLayerKernel</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keyword">virtual</span> ~<a class="code" href="classarm__compute_1_1_n_e_winograd_layer_kernel.xhtml">NEWinogradLayerKernel</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keywordtype">void</span> configure(<a class="code" href="classarm__compute_1_1_winograd3x3_f32.xhtml">Winograd3x3F32</a> *convolver);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordtype">void</span> run(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keyword">static</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> get_weight_storage_size(</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> n_output_channels,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> n_input_channels);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keyword">static</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> get_input_storage_size(</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> n_batches,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> n_channels,</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> n_rows,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> n_cols,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> same_padding);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keyword">static</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> get_output_storage_size(</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> n_batches,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> n_rows,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> n_cols,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> n_output_channels,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> same_padding);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;<span class="keyword">protected</span>:</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <a class="code" href="classarm__compute_1_1_winograd3x3_f32.xhtml">Winograd3x3F32</a> *_convolver;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;};</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_NEGEMMWINOGRADLAYERKERNEL_H__*/</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_winograd3x3_f32_xhtml_a1b74c5a552d468e90f2a32b36950b6ad"><div class="ttname"><a href="classarm__compute_1_1_winograd3x3_f32.xhtml#a1b74c5a552d468e90f2a32b36950b6ad">arm_compute::Winograd3x3F32::transform_input</a></div><div class="ttdeci">void transform_input()</div></div>
<div class="ttc" id="classarm__compute_1_1_winograd3x3_f32_xhtml_afb88084e7ba971a01cb89654b48a077f"><div class="ttname"><a href="classarm__compute_1_1_winograd3x3_f32.xhtml#afb88084e7ba971a01cb89654b48a077f">arm_compute::Winograd3x3F32::transform_weights</a></div><div class="ttdeci">void transform_weights()</div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_p_p_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">arm_compute::ICPPKernel</a></div><div class="ttdoc">Common interface for all kernels implemented in C++. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_p_p_kernel_8h_source.xhtml#l00035">ICPPKernel.h:35</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a096668313a9a819d54a2e65ec21ff0cc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info</a></div><div class="ttdeci">src info() -&gt; set_format(Format::S16)</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_winograd3x3_f32_xhtml_a39afe97f3489074b5eabfb447011edce"><div class="ttname"><a href="classarm__compute_1_1_winograd3x3_f32.xhtml#a39afe97f3489074b5eabfb447011edce">arm_compute::Winograd3x3F32::~Winograd3x3F32</a></div><div class="ttdeci">~Winograd3x3F32()</div></div>
<div class="ttc" id="classarm__compute_1_1_winograd3x3_f32_xhtml_ad95a08fe675ee862b2bd0f378c492297"><div class="ttname"><a href="classarm__compute_1_1_winograd3x3_f32.xhtml#ad95a08fe675ee862b2bd0f378c492297">arm_compute::Winograd3x3F32::Winograd3x3F32</a></div><div class="ttdeci">Winograd3x3F32(const int n_batches, const int n_input_channels, const int n_input_rows, const int n_input_cols, const int n_output_channels, const bool same_padding, const float *const weights, float *const weights_storage, const float *const input, float *const winograd_input, float *const output, float *const winograd_output)</div></div>
<div class="ttc" id="classarm__compute_1_1_winograd3x3_f32_xhtml_a9450a57c8bbf78ebaa0f69d2d718772e"><div class="ttname"><a href="classarm__compute_1_1_winograd3x3_f32.xhtml#a9450a57c8bbf78ebaa0f69d2d718772e">arm_compute::Winograd3x3F32::transform_output</a></div><div class="ttdeci">void transform_output()</div></div>
<div class="ttc" id="classarm__compute_1_1_winograd3x3_f32_xhtml"><div class="ttname"><a href="classarm__compute_1_1_winograd3x3_f32.xhtml">arm_compute::Winograd3x3F32</a></div><div class="ttdef"><b>Definition:</b> <a href="_n_e_winograd_layer_kernel_8h_source.xhtml#l00036">NEWinogradLayerKernel.h:36</a></div></div>
<div class="ttc" id="structarm__compute_1_1_thread_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_thread_info.xhtml">arm_compute::ThreadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_types_8h_source.xhtml#l00058">CPPTypes.h:58</a></div></div>
<div class="ttc" id="classarm__compute_1_1_winograd3x3_f32_xhtml_a20382f2c4f5f8cfd34896c7efe2506b1"><div class="ttname"><a href="classarm__compute_1_1_winograd3x3_f32.xhtml#a20382f2c4f5f8cfd34896c7efe2506b1">arm_compute::Winograd3x3F32::NEWinogradLayerKernel</a></div><div class="ttdeci">friend class NEWinogradLayerKernel</div><div class="ttdoc">Create a new Winograd convolution layer. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_winograd_layer_kernel_8h_source.xhtml#l00054">NEWinogradLayerKernel.h:54</a></div></div>
<div class="ttc" id="_i_n_e_kernel_8h_xhtml"><div class="ttname"><a href="_i_n_e_kernel_8h.xhtml">INEKernel.h</a></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>
<div class="ttc" id="classarm__compute_1_1_n_e_winograd_layer_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_winograd_layer_kernel.xhtml">arm_compute::NEWinogradLayerKernel</a></div><div class="ttdef"><b>Definition:</b> <a href="_n_e_winograd_layer_kernel_8h_source.xhtml#l00079">NEWinogradLayerKernel.h:79</a></div></div>
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