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gerrit-public.fairphone.software / platform / external / ComputeLibrary / 4ba87dbdc3b22220eba4a792c1f5c87e7a88c7af / . / documentation / _dimensions_8h_source.xhtml
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<div class="title">Dimensions.h</div> </div>
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<a href="_dimensions_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_DIMENSIONS_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_DIMENSIONS_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="_error_8h.xhtml">arm_compute/core/Error.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &lt;algorithm&gt;</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#include &lt;array&gt;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &lt;functional&gt;</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="preprocessor">#include &lt;numeric&gt;</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="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;{</div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a769d636d7a3c7c84579a5f477a18bc9d"> 37</a></span>&#160;constexpr <span class="keywordtype">size_t</span> <a class="code" href="namespacearm__compute.xhtml#a769d636d7a3c7c84579a5f477a18bc9d">MAX_DIMS</a> = 6;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml"> 41</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;{</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc"> 45</a></span>&#160; <span class="keyword">static</span> constexpr <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">num_max_dimensions</a> = <a class="code" href="namespacearm__compute.xhtml#a769d636d7a3c7c84579a5f477a18bc9d">MAX_DIMS</a>;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="keyword">template</span> &lt;<span class="keyword">typename</span>... Ts&gt;</div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0"> 52</a></span>&#160; <span class="keyword">explicit</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0">Dimensions</a>(Ts... dims)</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; : _id{ { static_cast&lt;T&gt;(dims)... } }, _num_dimensions{ <span class="keyword">sizeof</span>...(dims) }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; {</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="l00058"></a><span class="lineno"> 58</span>&#160; <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0">Dimensions</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0">Dimensions</a> &amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0">Dimensions</a> &amp;<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a2c96e96e2d005b4a8b66c2acd1688903">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0">Dimensions</a> &amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0">Dimensions</a>(<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0">Dimensions</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0">Dimensions</a> &amp;<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a2c96e96e2d005b4a8b66c2acd1688903">operator=</a>(<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0">Dimensions</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27"> 74</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">set</a>(<span class="keywordtype">size_t</span> dimension, T value)</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; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(dimension &gt;= <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">num_max_dimensions</a>);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; _id[dimension] = value;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; _num_dimensions = std::max(_num_dimensions, dimension + 1);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; }</div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#aa87f8fc26981b0f3228a78c83b95b802"> 81</a></span>&#160; T <a class="code" href="classarm__compute_1_1_dimensions.xhtml#aa87f8fc26981b0f3228a78c83b95b802">x</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keywordflow">return</span> _id[0];</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"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#ac4a1050be02b20b3f791b9a483f3abe2"> 86</a></span>&#160; T <a class="code" href="classarm__compute_1_1_dimensions.xhtml#ac4a1050be02b20b3f791b9a483f3abe2">y</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keywordflow">return</span> _id[1];</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; }</div><div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#abb29a685080e999c2a0cb874d2f7bb5a"> 91</a></span>&#160; T <a class="code" href="classarm__compute_1_1_dimensions.xhtml#abb29a685080e999c2a0cb874d2f7bb5a">z</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keywordflow">return</span> _id[2];</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; }</div><div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#a08834d57877df4172a35bccc6719ab3a"> 103</a></span>&#160; <span class="keyword">const</span> T &amp;<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a08834d57877df4172a35bccc6719ab3a">operator[]</a>(<span class="keywordtype">size_t</span> dimension)<span class="keyword"> const</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(dimension &gt;= <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">num_max_dimensions</a>);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="keywordflow">return</span> _id[dimension];</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; }</div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#ac88390e0a6503d5d09c65d204980beb1"> 116</a></span>&#160; T &amp;<a class="code" href="classarm__compute_1_1_dimensions.xhtml#ac88390e0a6503d5d09c65d204980beb1">operator[]</a>(<span class="keywordtype">size_t</span> dimension)</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; {</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(dimension &gt;= <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">num_max_dimensions</a>);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keywordflow">return</span> _id[dimension];</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; }</div><div class="line"><a name="l00122"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615"> 122</a></span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keywordflow">return</span> _num_dimensions;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; }</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;</div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#a810a78f0b7cc0270f38d4136e023ea3b"> 128</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a810a78f0b7cc0270f38d4136e023ea3b">set_num_dimensions</a>(<span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>)</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; _num_dimensions = <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; }</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;</div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#a0c265a91027decdda59e5086c550d0f7"> 138</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0c265a91027decdda59e5086c550d0f7">collapse</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> n, <span class="keyword">const</span> <span class="keywordtype">size_t</span> first = 0)</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(first + n &gt; _id.size());</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> last = std::min(_num_dimensions, first + n);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keywordflow">if</span>(last &gt; (first + 1))</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; {</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="comment">// Collapse dimensions into the first</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; _id[first] = <a class="code" href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">std::accumulate</a>(&amp;_id[first], &amp;_id[last], 1, std::multiplies&lt;T&gt;());</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="comment">// Shift the remaining dimensions down</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad9000ce99b9ffcec5722cade36d7e757">std::copy</a>(&amp;_id[last], &amp;_id[_num_dimensions], &amp;_id[first + 1]);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <span class="comment">// Reduce the number of dimensions</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> old_num_dimensions = _num_dimensions;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; _num_dimensions -= last - first - 1;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <span class="comment">// Fill the now empty dimensions with zero</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1643f4cb252152ed8ffc0df84744ad5d">std::fill</a>(&amp;_id[_num_dimensions], &amp;_id[old_num_dimensions], 0);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; }</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; }</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160;</div><div class="line"><a name="l00162"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#a112cc1d5093b7672bf11569659251a7c"> 162</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a112cc1d5093b7672bf11569659251a7c">collapse_from</a>(<span class="keywordtype">size_t</span> start)</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; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(start &gt; <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>());</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; <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0c265a91027decdda59e5086c550d0f7">collapse</a>(<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>() - start, start);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; }</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160;</div><div class="line"><a name="l00173"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#ab2878b67ca384a699c1270900b31290b"> 173</a></span>&#160; <span class="keyword">typename</span> std::array&lt;T, num_max_dimensions&gt;::iterator <a class="code" href="classarm__compute_1_1_dimensions.xhtml#ab2878b67ca384a699c1270900b31290b">begin</a>()</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; {</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <span class="keywordflow">return</span> _id.begin();</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; }</div><div class="line"><a name="l00181"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#ab3821c007799102f18ef1cf4ec88be9c"> 181</a></span>&#160; <span class="keyword">typename</span> std::array&lt;T, num_max_dimensions&gt;::const_iterator <a class="code" href="classarm__compute_1_1_dimensions.xhtml#ab3821c007799102f18ef1cf4ec88be9c">begin</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <span class="keywordflow">return</span> _id.begin();</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; }</div><div class="line"><a name="l00189"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#a8c9efb4e1ad142d58d65af400f20217d"> 189</a></span>&#160; <span class="keyword">typename</span> std::array&lt;T, num_max_dimensions&gt;::const_iterator <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a8c9efb4e1ad142d58d65af400f20217d">cbegin</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml#ab2878b67ca384a699c1270900b31290b">begin</a>();</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; }</div><div class="line"><a name="l00197"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#ac684b52c6197edff9cccb3abd1e41f59"> 197</a></span>&#160; <span class="keyword">typename</span> std::array&lt;T, num_max_dimensions&gt;::iterator <a class="code" href="classarm__compute_1_1_dimensions.xhtml#ac684b52c6197edff9cccb3abd1e41f59">end</a>()</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; {</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <span class="keywordflow">return</span> _id.end();</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; }</div><div class="line"><a name="l00205"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#abfb712208ab2802329e9b75c0c61469f"> 205</a></span>&#160; <span class="keyword">typename</span> std::array&lt;T, num_max_dimensions&gt;::const_iterator <a class="code" href="classarm__compute_1_1_dimensions.xhtml#abfb712208ab2802329e9b75c0c61469f">end</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <span class="keywordflow">return</span> _id.end();</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; }</div><div class="line"><a name="l00213"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#afde273ebfa15fe83c690ad5cf6693c9f"> 213</a></span>&#160; <span class="keyword">typename</span> std::array&lt;T, num_max_dimensions&gt;::const_iterator <a class="code" href="classarm__compute_1_1_dimensions.xhtml#afde273ebfa15fe83c690ad5cf6693c9f">cend</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml#ac684b52c6197edff9cccb3abd1e41f59">end</a>();</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; }</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;<span class="keyword">protected</span>:</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; ~<a class="code" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; std::array&lt;T, num_max_dimensions&gt; _id;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; <span class="keywordtype">size_t</span> _num_dimensions{ 0 };</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;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00234"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a096590f2456b9e9bcb8db98175720b60"> 234</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#a096590f2456b9e9bcb8db98175720b60">operator==</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml">Dimensions&lt;T&gt;</a> &amp;lhs, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml">Dimensions&lt;T&gt;</a> &amp;rhs)</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160;{</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; <span class="keywordflow">return</span> ((lhs.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>() == rhs.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>()) &amp;&amp; std::equal(lhs.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a8c9efb4e1ad142d58d65af400f20217d">cbegin</a>(), lhs.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#afde273ebfa15fe83c690ad5cf6693c9f">cend</a>(), rhs.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a8c9efb4e1ad142d58d65af400f20217d">cbegin</a>()));</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160;}</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00246"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a4e3ff85e1f6c648dfbe264f54c147451"> 246</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#a4e3ff85e1f6c648dfbe264f54c147451">operator!=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml">Dimensions&lt;T&gt;</a> &amp;lhs, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml">Dimensions&lt;T&gt;</a> &amp;rhs)</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160;{</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <span class="keywordflow">return</span> !(lhs == rhs);</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160;}</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160;}</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_DIMENSIONS_H__*/</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_ab3821c007799102f18ef1cf4ec88be9c"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#ab3821c007799102f18ef1cf4ec88be9c">arm_compute::Dimensions::begin</a></div><div class="ttdeci">std::array&lt; T, num_max_dimensions &gt;::const_iterator begin() const</div><div class="ttdoc">Returns a read-only (constant) iterator that points to the first element in the dimension array.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00181">Dimensions.h:181</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_ac88390e0a6503d5d09c65d204980beb1"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#ac88390e0a6503d5d09c65d204980beb1">arm_compute::Dimensions::operator[]</a></div><div class="ttdeci">T &amp; operator[](size_t dimension)</div><div class="ttdoc">Generic accessor to get the size of any dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00116">Dimensions.h:116</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a2c96e96e2d005b4a8b66c2acd1688903"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a2c96e96e2d005b4a8b66c2acd1688903">arm_compute::Dimensions::operator=</a></div><div class="ttdeci">Dimensions &amp; operator=(const Dimensions &amp;)=default</div><div class="ttdoc">Allow instances of this class to be copied.</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a4e3ff85e1f6c648dfbe264f54c147451"><div class="ttname"><a href="namespacearm__compute.xhtml#a4e3ff85e1f6c648dfbe264f54c147451">arm_compute::operator!=</a></div><div class="ttdeci">bool operator!=(const Dimensions&lt; T &gt; &amp;lhs, const Dimensions&lt; T &gt; &amp;rhs)</div><div class="ttdoc">Check that given dimensions are not equal.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00246">Dimensions.h:246</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a096590f2456b9e9bcb8db98175720b60"><div class="ttname"><a href="namespacearm__compute.xhtml#a096590f2456b9e9bcb8db98175720b60">arm_compute::operator==</a></div><div class="ttdeci">bool operator==(const Dimensions&lt; T &gt; &amp;lhs, const Dimensions&lt; T &gt; &amp;rhs)</div><div class="ttdoc">Check that given dimensions are equal.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00234">Dimensions.h:234</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_ad9000ce99b9ffcec5722cade36d7e757"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad9000ce99b9ffcec5722cade36d7e757">arm_compute::test::validation::reference::copy</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; copy(const SimpleTensor&lt; T &gt; &amp;src, const TensorShape &amp;output_shape)</div><div class="ttdef"><b>Definition:</b> <a href="reference_2_copy_8cpp_source.xhtml#l00037">Copy.cpp:37</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#l00074">Dimensions.h:74</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a0c265a91027decdda59e5086c550d0f7"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a0c265a91027decdda59e5086c550d0f7">arm_compute::Dimensions::collapse</a></div><div class="ttdeci">void collapse(const size_t n, const size_t first=0)</div><div class="ttdoc">Collapse dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00138">Dimensions.h:138</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">Copyright (c) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a769d636d7a3c7c84579a5f477a18bc9d"><div class="ttname"><a href="namespacearm__compute.xhtml#a769d636d7a3c7c84579a5f477a18bc9d">arm_compute::MAX_DIMS</a></div><div class="ttdeci">constexpr size_t MAX_DIMS</div><div class="ttdoc">Constant value used to indicate maximum dimensions of a Window, TensorShape and Coordinates.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00037">Dimensions.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_aa87f8fc26981b0f3228a78c83b95b802"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#aa87f8fc26981b0f3228a78c83b95b802">arm_compute::Dimensions::x</a></div><div class="ttdeci">T x() const</div><div class="ttdoc">Alias to access the size of the first dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00081">Dimensions.h:81</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a112cc1d5093b7672bf11569659251a7c"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a112cc1d5093b7672bf11569659251a7c">arm_compute::Dimensions::collapse_from</a></div><div class="ttdeci">void collapse_from(size_t start)</div><div class="ttdoc">Collapse dimensions starting from a given point.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00162">Dimensions.h:162</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a1643f4cb252152ed8ffc0df84744ad5d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1643f4cb252152ed8ffc0df84744ad5d">arm_compute::test::validation::fill</a></div><div class="ttdeci">library fill(src, distribution, 0)</div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_abb29a685080e999c2a0cb874d2f7bb5a"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#abb29a685080e999c2a0cb874d2f7bb5a">arm_compute::Dimensions::z</a></div><div class="ttdeci">T z() const</div><div class="ttdoc">Alias to access the size of the third dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00091">Dimensions.h:91</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml">arm_compute::Dimensions</a></div><div class="ttdoc">Dimensions with dimensionality.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00041">Dimensions.h:41</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_ab2878b67ca384a699c1270900b31290b"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#ab2878b67ca384a699c1270900b31290b">arm_compute::Dimensions::begin</a></div><div class="ttdeci">std::array&lt; T, num_max_dimensions &gt;::iterator begin()</div><div class="ttdoc">Returns a read/write iterator that points to the first element in the dimension array.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00173">Dimensions.h:173</a></div></div>
<div class="ttc" id="_error_8h_xhtml"><div class="ttname"><a href="_error_8h.xhtml">Error.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_afde273ebfa15fe83c690ad5cf6693c9f"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#afde273ebfa15fe83c690ad5cf6693c9f">arm_compute::Dimensions::cend</a></div><div class="ttdeci">std::array&lt; T, num_max_dimensions &gt;::const_iterator cend() const</div><div class="ttdoc">Returns a read-only (constant) iterator that points one past the last element in the dimension array.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00213">Dimensions.h:213</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a8c9efb4e1ad142d58d65af400f20217d"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a8c9efb4e1ad142d58d65af400f20217d">arm_compute::Dimensions::cbegin</a></div><div class="ttdeci">std::array&lt; T, num_max_dimensions &gt;::const_iterator cbegin() const</div><div class="ttdoc">Returns a read-only (constant) iterator that points to the first element in the dimension array.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00189">Dimensions.h:189</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a08834d57877df4172a35bccc6719ab3a"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a08834d57877df4172a35bccc6719ab3a">arm_compute::Dimensions::operator[]</a></div><div class="ttdeci">const T &amp; operator[](size_t dimension) const</div><div class="ttdoc">Generic accessor to get the size of any dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00103">Dimensions.h:103</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_ac684b52c6197edff9cccb3abd1e41f59"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#ac684b52c6197edff9cccb3abd1e41f59">arm_compute::Dimensions::end</a></div><div class="ttdeci">std::array&lt; T, num_max_dimensions &gt;::iterator end()</div><div class="ttdoc">Returns a read/write iterator that points one past the last element in the dimension array.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00197">Dimensions.h:197</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a80a5f2d6e3a697c9aad893a3b4242615"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">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#l00122">Dimensions.h:122</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a669af0de951a474c4b443f7bc7c026e0"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0">arm_compute::Dimensions::Dimensions</a></div><div class="ttdeci">Dimensions(Ts... dims)</div><div class="ttdoc">Constructor to initialize the tensor shape.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00052">Dimensions.h:52</a></div></div>
<div class="ttc" id="accumulate_8cl_xhtml_a00e540076dd545ad59ac7482f8cdf514"><div class="ttname"><a href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">accumulate</a></div><div class="ttdeci">__kernel void accumulate(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *accu_ptr, uint accu_stride_x, uint accu_step_x, uint accu_stride_y, uint accu_step_y, uint accu_offset_first_element_in_bytes)</div><div class="ttdoc">This function accumulates an input image into output image.</div><div class="ttdef"><b>Definition:</b> <a href="accumulate_8cl_source.xhtml#l00041">accumulate.cl:41</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_abfb712208ab2802329e9b75c0c61469f"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#abfb712208ab2802329e9b75c0c61469f">arm_compute::Dimensions::end</a></div><div class="ttdeci">std::array&lt; T, num_max_dimensions &gt;::const_iterator end() const</div><div class="ttdoc">Returns a read-only (constant) iterator that points one past the last element in the dimension array.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00205">Dimensions.h:205</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a810a78f0b7cc0270f38d4136e023ea3b"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a810a78f0b7cc0270f38d4136e023ea3b">arm_compute::Dimensions::set_num_dimensions</a></div><div class="ttdeci">void set_num_dimensions(size_t num_dimensions)</div><div class="ttdoc">Set number of dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00128">Dimensions.h:128</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_ac4a1050be02b20b3f791b9a483f3abe2"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#ac4a1050be02b20b3f791b9a483f3abe2">arm_compute::Dimensions::y</a></div><div class="ttdeci">T y() const</div><div class="ttdoc">Alias to access the size of the second dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00086">Dimensions.h:86</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a1b67d5b720119d50faa286c774579ecc"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">arm_compute::Dimensions::num_max_dimensions</a></div><div class="ttdeci">static constexpr size_t num_max_dimensions</div><div class="ttdoc">Number of dimensions the tensor has.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00045">Dimensions.h:45</a></div></div>
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