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<div class="title">Helpers.h</div> </div>
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<a href="_helpers_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_HELPERS_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_HELPERS_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="_coordinates_8h.xhtml">arm_compute/core/Coordinates.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="_i_access_window_8h.xhtml">arm_compute/core/IAccessWindow.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="_steps_8h.xhtml">arm_compute/core/Steps.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_strides_8h.xhtml">arm_compute/core/Strides.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_window_8h.xhtml">arm_compute/core/Window.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#include &lt;array&gt;</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="preprocessor">#include &lt;cstddef&gt;</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="preprocessor">#include &lt;cstdint&gt;</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="preprocessor">#include &lt;memory&gt;</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="preprocessor">#include &lt;tuple&gt;</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="preprocessor">#include &lt;type_traits&gt;</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="preprocessor">#include &lt;utility&gt;</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;{</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="keyword">class </span>IKernel;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;<span class="keyword">class </span>ITensor;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;<span class="keyword">class </span>TensorInfo;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1cpp14.xhtml"> 48</a></span>&#160;<span class="keyword">namespace </span>cpp14</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;{</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;<span class="preprocessor">#ifndef DOXYGEN_SKIP_THIS </span><span class="comment">/* Doxygen gets confused by the templates and can&#39;t match the implementation to the declaration */</span><span class="preprocessor"></span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="keyword">struct </span>_Unique_if</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;{</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keyword">typedef</span> std::unique_ptr&lt;T&gt; _Single_object;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;};</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="keyword">struct </span>_Unique_if&lt;T[]&gt;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;{</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keyword">typedef</span> std::unique_ptr&lt;T[]&gt; _Unknown_bound;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;};</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">class</span> T, <span class="keywordtype">size_t</span> N&gt;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;<span class="keyword">struct </span>_Unique_if&lt;T[N]&gt;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;{</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keyword">typedef</span> <span class="keywordtype">void</span> _Known_bound;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;};</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">class </span>T, <span class="keyword">class</span>... Args&gt;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;<span class="keyword">typename</span> _Unique_if&lt;T&gt;::_Single_object</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;make_unique(Args &amp;&amp;... args)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;{</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordflow">return</span> std::unique_ptr&lt;T&gt;(<span class="keyword">new</span> T(std::forward&lt;Args&gt;(args)...));</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;}</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;<span class="keyword">typename</span> _Unique_if&lt;T&gt;::_Unknown_bound</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;make_unique(<span class="keywordtype">size_t</span> n)</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;{</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="keyword">typedef</span> <span class="keyword">typename</span> std::remove_extent&lt;T&gt;::type <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="keywordflow">return</span> std::unique_ptr&lt;T&gt;(<span class="keyword">new</span> U[n]());</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;}</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">class </span>T, <span class="keyword">class</span>... Args&gt;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;<span class="keyword">typename</span> _Unique_if&lt;T&gt;::_Known_bound</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;make_unique(Args &amp;&amp;...) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* DOXYGEN_SKIP_THIS */</span><span class="preprocessor"></span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;}</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;}</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;{</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;<span class="keyword">inline</span> uint8_t delta_bilinear_c1u8(<span class="keyword">const</span> uint8_t *pixel_ptr, <span class="keywordtype">size_t</span> stride, <span class="keywordtype">float</span> dx, <span class="keywordtype">float</span> dy);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;<span class="keyword">inline</span> uint8_t pixel_bilinear_c1u8(<span class="keyword">const</span> uint8_t *first_pixel_ptr, <span class="keywordtype">size_t</span> stride, <span class="keywordtype">float</span> x, <span class="keywordtype">float</span> y);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;<span class="keyword">inline</span> uint8_t pixel_bilinear_c1u8_clamp(<span class="keyword">const</span> uint8_t *first_pixel_ptr, <span class="keywordtype">size_t</span> stride, <span class="keywordtype">size_t</span> width, <span class="keywordtype">size_t</span> height, <span class="keywordtype">float</span> x, <span class="keywordtype">float</span> y);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;<span class="keyword">inline</span> uint8_t pixel_area_c1u8_clamp(<span class="keyword">const</span> uint8_t *first_pixel_ptr, <span class="keywordtype">size_t</span> stride, <span class="keywordtype">size_t</span> width, <span class="keywordtype">size_t</span> height, <span class="keywordtype">float</span> wr, <span class="keywordtype">float</span> hr, <span class="keywordtype">int</span> x, <span class="keywordtype">int</span> y);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;<span class="keyword">inline</span> T clamp(<span class="keyword">const</span> T &amp;n, <span class="keyword">const</span> T &amp;lower, <span class="keyword">const</span> T &amp;upper)</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;{</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="keywordflow">return</span> std::max(lower, std::min(n, upper));</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;}</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> F&gt;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> for_each(F &amp;&amp;)</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160;{</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;}</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> F, <span class="keyword">typename</span> T, <span class="keyword">typename</span>... Ts&gt;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> for_each(F &amp;&amp;func, T &amp;&amp;arg, Ts &amp;&amp;... args)</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160;{</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; func(arg);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; for_each(func, args...);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160;}</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> F, <span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160;<span class="keyword">inline</span> T foldl(F &amp;&amp;, <span class="keyword">const</span> T &amp;value)</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160;{</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <span class="keywordflow">return</span> value;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;}</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> F, <span class="keyword">typename</span> T, <span class="keyword">typename</span> U&gt;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;<span class="keyword">inline</span> <span class="keyword">auto</span> foldl(F &amp;&amp;func, T &amp;&amp;value1, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> &amp;&amp;value2) -&gt; decltype(func(value1, value2))</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160;{</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <span class="keywordflow">return</span> func(value1, value2);</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160;}</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> F, <span class="keyword">typename</span> I, <span class="keyword">typename</span> T, <span class="keyword">typename</span>... Vs&gt;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160;<span class="keyword">inline</span> I foldl(F &amp;&amp;func, I &amp;&amp;initial, T &amp;&amp;value, Vs &amp;&amp;... values)</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160;{</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keywordflow">return</span> foldl(std::forward&lt;F&gt;(func), func(std::forward&lt;I&gt;(initial), std::forward&lt;T&gt;(value)), std::forward&lt;Vs&gt;(values)...);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160;}</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160;}</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160;{</div><div class="line"><a name="l00223"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_iterator.xhtml"> 223</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160;{</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; constexpr <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a>();</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; Iterator(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</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="l00234"></a><span class="lineno"> 234</span>&#160;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; <span class="keywordtype">void</span> increment(<span class="keywordtype">size_t</span> dimension);</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; constexpr <span class="keywordtype">int</span> <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160;</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; constexpr uint8_t *ptr() <span class="keyword">const</span>;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; <span class="keywordtype">void</span> reset(<span class="keywordtype">size_t</span> dimension);</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;<span class="keyword">private</span>:</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; uint8_t *_ptr;</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; <span class="keyword">class </span>Dimension</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; {</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; constexpr Dimension()</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; : _dim_start(0), _stride(0)</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; {</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; }</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; <span class="keywordtype">int</span> _dim_start;</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; <span class="keywordtype">int</span> _stride;</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;</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; std::array&lt;Dimension, Coordinates::num_max_dimensions&gt; _dims;</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160;};</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160;</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> L, <span class="keyword">typename</span>... Ts&gt;</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute.xhtml#a78fd1c0056e9add7ab01b8e118c0038d">execute_window_loop</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;w, L &amp;&amp;lambda_function, Ts &amp;&amp;... iterators);</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160;</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span>... Ts&gt;</div><div class="line"><a name="l00307"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ac2a92cae51d2734a65676052adb33c22"> 307</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#ac2a92cae51d2734a65676052adb33c22">update_window_and_padding</a>(<a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;win, Ts &amp;&amp;... patterns)</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160;{</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; <span class="keywordtype">bool</span> window_changed = <span class="keyword">false</span>;</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160;</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; for_each([&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_access_window.xhtml">IAccessWindow</a> &amp; w)</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; {</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; window_changed |= w.<a class="code" href="classarm__compute_1_1_i_access_window.xhtml#a5b6940395e0168f3f00da892ded537aa">update_window_if_needed</a>(win);</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; },</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; patterns...);</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160;</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; <span class="keywordtype">bool</span> padding_changed = <span class="keyword">false</span>;</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160;</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; for_each([&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_access_window.xhtml">IAccessWindow</a> &amp; w)</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; {</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; padding_changed |= w.<a class="code" href="classarm__compute_1_1_i_access_window.xhtml#abd645498a7cbaebd88b257083e459dd6">update_padding_if_needed</a>(win);</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; },</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; patterns...);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160;</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; <span class="keywordflow">return</span> window_changed;</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160;}</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160;</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160;<a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> <a class="code" href="namespacearm__compute.xhtml#aa8063930734453501dbe41f60c5a89d9">calculate_max_window</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;info, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a> &amp;steps = <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a>(), <span class="keywordtype">bool</span> skip_border = <span class="keyword">false</span>, <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size = <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>());</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160;</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160;<a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> <a class="code" href="namespacearm__compute.xhtml#a0451630695335182319ee53d785d0715">calculate_max_window_horizontal</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;info, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a> &amp;steps = <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a>(), <span class="keywordtype">bool</span> skip_border = <span class="keyword">false</span>, <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size = <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>());</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160;</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span>... Ts&gt;</div><div class="line"><a name="l00357"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a3bb1b3d01f14dbc0beb1e826eefeddc6"> 357</a></span>&#160;<a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> <a class="code" href="namespacearm__compute.xhtml#a3bb1b3d01f14dbc0beb1e826eefeddc6">intersect_valid_regions</a>(Ts &amp;&amp;... regions)</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160;{</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; <span class="keyword">auto</span> intersect = [](<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &amp; r1, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &amp; r2) -&gt; <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a></div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; {</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> region;</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160;</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> d = 0; d &lt; std::min(r1.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(), r2.anchor.num_dimensions()); ++d)</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; {</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">set</a>(d, std::max(r1.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>[d], r2.anchor[d]));</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; }</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160;</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> d = 0; d &lt; std::min(r1.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(), r2.shape.num_dimensions()); ++d)</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; {</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">set</a>(d, std::min(r1.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>[d], r2.shape[d]));</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; }</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160;</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; <span class="keywordflow">return</span> region;</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; };</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160;</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; <span class="keywordflow">return</span> foldl(intersect, std::forward&lt;Ts&gt;(regions)...);</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160;}</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160;</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span>... Ts&gt;</div><div class="line"><a name="l00389"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#aedfc72aa9d25b8918734bd374421ee32"> 389</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> <a class="code" href="namespacearm__compute.xhtml#aedfc72aa9d25b8918734bd374421ee32">compute_strides</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;info, T stride_x, Ts &amp;&amp;... fixed_strides)</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160;{</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;shape = info.<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#af3374fa8fcc6d226dc2b82317ab4d079">tensor_shape</a>();</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160;</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160; <span class="comment">// Create strides object</span></div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> strides(stride_x, fixed_strides...);</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160;</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 1 + <span class="keyword">sizeof</span>...(Ts); i &lt; info.<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a38382dc1f04d28cab04d921b8324dc07">num_dimensions</a>(); ++i)</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; {</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; strides.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">set</a>(i, shape[i - 1] * strides[i - 1]);</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; }</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160;</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160; <span class="keywordflow">return</span> strides;</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160;}</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160;</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span>... Ts&gt;</div><div class="line"><a name="l00411"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a99bbb937f89cde6dfe346f566d41c707"> 411</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> <a class="code" href="namespacearm__compute.xhtml#aedfc72aa9d25b8918734bd374421ee32">compute_strides</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;info)</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160;{</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#aedfc72aa9d25b8918734bd374421ee32">compute_strides</a>(info, info.<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a448f57f9d6aec61b3d85b898affe4a2e">element_size</a>());</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160;}</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160;}</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160;</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_helpers_8inl.xhtml">arm_compute/core/Helpers.inl</a>&quot;</span></div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_HELPERS_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00038">TensorShape.h:38</a></div></div>
<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml_a1fcd64682b37ed3c2098d0094ce788d8"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">arm_compute::ValidRegion::shape</a></div><div class="ttdeci">TensorShape shape</div><div class="ttdef"><b>Definition:</b> <a href="_types_8h_source.xhtml#l00117">Types.h:117</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="_types_8h_source.xhtml#l00129">Types.h:129</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_aa8063930734453501dbe41f60c5a89d9"><div class="ttname"><a href="namespacearm__compute.xhtml#aa8063930734453501dbe41f60c5a89d9">arm_compute::calculate_max_window</a></div><div class="ttdeci">Window calculate_max_window(const TensorInfo &amp;info, const Steps &amp;steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())</div><div class="ttdoc">Calculate the maximum window for a given tensor shape and border setting. </div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a448f57f9d6aec61b3d85b898affe4a2e"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a448f57f9d6aec61b3d85b898affe4a2e">arm_compute::TensorInfo::element_size</a></div><div class="ttdeci">size_t element_size() const </div><div class="ttdoc">Element size in bytes calculated as data_size() * num_channels. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00231">TensorInfo.h:231</a></div></div>
<div class="ttc" id="_window_8h_xhtml"><div class="ttname"><a href="_window_8h.xhtml">Window.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_aedfc72aa9d25b8918734bd374421ee32"><div class="ttname"><a href="namespacearm__compute.xhtml#aedfc72aa9d25b8918734bd374421ee32">arm_compute::compute_strides</a></div><div class="ttdeci">Strides compute_strides(const TensorInfo &amp;info, T stride_x, Ts &amp;&amp;...fixed_strides)</div><div class="ttdoc">Create a strides object based on the provided strides and the tensor dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8h_source.xhtml#l00389">Helpers.h:389</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ac2a92cae51d2734a65676052adb33c22"><div class="ttname"><a href="namespacearm__compute.xhtml#ac2a92cae51d2734a65676052adb33c22">arm_compute::update_window_and_padding</a></div><div class="ttdeci">bool update_window_and_padding(Window &amp;win, Ts &amp;&amp;...patterns)</div><div class="ttdoc">Update window and padding size for each of the access patterns. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8h_source.xhtml#l00307">Helpers.h:307</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a982730e6f0da5f9490f59bc5f6bb3f27"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">arm_compute::Dimensions::set</a></div><div class="ttdeci">void set(size_t dimension, T value)</div><div class="ttdoc">Accessor to set the value of one of the dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00073">Dimensions.h:73</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00201">helpers.h:201</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div>
<div class="ttc" id="_helpers_8inl_xhtml"><div class="ttname"><a href="_helpers_8inl.xhtml">Helpers.inl</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_8dox_source.xhtml#l00001">arm_compute.dox:1</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_access_window_xhtml_a5b6940395e0168f3f00da892ded537aa"><div class="ttname"><a href="classarm__compute_1_1_i_access_window.xhtml#a5b6940395e0168f3f00da892ded537aa">arm_compute::IAccessWindow::update_window_if_needed</a></div><div class="ttdeci">virtual bool update_window_if_needed(Window &amp;window) const =0</div><div class="ttdoc">Shrink the window if padding is not large enough. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::Channel::U</a></div><div class="ttdoc">Cb/U channel. </div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_af3374fa8fcc6d226dc2b82317ab4d079"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#af3374fa8fcc6d226dc2b82317ab4d079">arm_compute::TensorInfo::tensor_shape</a></div><div class="ttdeci">const TensorShape &amp; tensor_shape() const </div><div class="ttdoc">Size for each dimension of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00255">TensorInfo.h:255</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a3bb1b3d01f14dbc0beb1e826eefeddc6"><div class="ttname"><a href="namespacearm__compute.xhtml#a3bb1b3d01f14dbc0beb1e826eefeddc6">arm_compute::intersect_valid_regions</a></div><div class="ttdeci">ValidRegion intersect_valid_regions(Ts &amp;&amp;...regions)</div><div class="ttdoc">Intersect multiple valid regions. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8h_source.xhtml#l00357">Helpers.h:357</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a0451630695335182319ee53d785d0715"><div class="ttname"><a href="namespacearm__compute.xhtml#a0451630695335182319ee53d785d0715">arm_compute::calculate_max_window_horizontal</a></div><div class="ttdeci">Window calculate_max_window_horizontal(const TensorInfo &amp;info, const Steps &amp;steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())</div><div class="ttdoc">Calculate the maximum window used by a horizontal kernel for a given tensor shape and border setting...</div></div>
<div class="ttc" id="classarm__compute_1_1_steps_xhtml"><div class="ttname"><a href="classarm__compute_1_1_steps.xhtml">arm_compute::Steps</a></div><div class="ttdoc">Class to describe a number of elements in each dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_steps_8h_source.xhtml#l00040">Steps.h:40</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_access_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_access_window.xhtml">arm_compute::IAccessWindow</a></div><div class="ttdoc">Interface describing methods to update access window and padding based on kernel parameters. </div><div class="ttdef"><b>Definition:</b> <a href="_i_access_window_8h_source.xhtml#l00071">IAccessWindow.h:71</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a78fd1c0056e9add7ab01b8e118c0038d"><div class="ttname"><a href="namespacearm__compute.xhtml#a78fd1c0056e9add7ab01b8e118c0038d">arm_compute::execute_window_loop</a></div><div class="ttdeci">void execute_window_loop(const Window &amp;w, L &amp;&amp;lambda_function, Ts &amp;&amp;...iterators)</div><div class="ttdoc">Iterate through the passed window, automatically adjusting the iterators and calling the lambda_funct...</div></div>
<div class="ttc" id="_steps_8h_xhtml"><div class="ttname"><a href="_steps_8h.xhtml">Steps.h</a></div></div>
<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#l00038">Strides.h:38</a></div></div>
<div class="ttc" id="_strides_8h_xhtml"><div class="ttname"><a href="_strides_8h.xhtml">Strides.h</a></div></div>
<div class="ttc" id="_coordinates_8h_xhtml"><div class="ttname"><a href="_coordinates_8h.xhtml">Coordinates.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a0f59f175e7682c7ed5f4ea30ef687834"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">arm_compute::Dimensions::num_dimensions</a></div><div class="ttdeci">unsigned int num_dimensions() const </div><div class="ttdoc">Returns the effective dimensionality of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00108">Dimensions.h:108</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor&amp;#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00040">TensorInfo.h:40</a></div></div>
<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8h_source.xhtml#l00086">Types.h:86</a></div></div>
<div class="ttc" id="classarm__compute_1_1_iterator_xhtml"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a></div><div class="ttdoc">Iterator updated by execute_window_loop for each window element. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8h_source.xhtml#l00223">Helpers.h:223</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="structarm__compute_1_1_valid_region_xhtml_a55a69b397082accd94221dd10b722cf7"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">arm_compute::ValidRegion::anchor</a></div><div class="ttdeci">Coordinates anchor</div><div class="ttdef"><b>Definition:</b> <a href="_types_8h_source.xhtml#l00116">Types.h:116</a></div></div>
<div class="ttc" id="_i_access_window_8h_xhtml"><div class="ttname"><a href="_i_access_window_8h.xhtml">IAccessWindow.h</a></div></div>
<div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a38382dc1f04d28cab04d921b8324dc07"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a38382dc1f04d28cab04d921b8324dc07">arm_compute::TensorInfo::num_dimensions</a></div><div class="ttdeci">size_t num_dimensions() const </div><div class="ttdoc">The number of dimensions of the tensor (rank) </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00239">TensorInfo.h:239</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_access_window_xhtml_abd645498a7cbaebd88b257083e459dd6"><div class="ttname"><a href="classarm__compute_1_1_i_access_window.xhtml#abd645498a7cbaebd88b257083e459dd6">arm_compute::IAccessWindow::update_padding_if_needed</a></div><div class="ttdeci">virtual bool update_padding_if_needed(const Window &amp;window) const =0</div><div class="ttdoc">Increase the padding to be large enough for the window. </div></div>
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