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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> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#ifndef ARM_COMPUTE_DIMENSIONS_H</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define ARM_COMPUTE_DIMENSIONS_H</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_error_8h.xhtml">arm_compute/core/Error.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include <algorithm></span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <array></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include <functional></span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <numeric></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <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> {<span class="comment"></span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment">/** Constant value used to indicate maximum dimensions of a Window, TensorShape and Coordinates */</span></div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a769d636d7a3c7c84579a5f477a18bc9d"> 37</a></span> 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> <span class="comment"></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment">/** Dimensions with dimensionality */</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml"> 41</a></span> <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> {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"> /** Number of dimensions the tensor has */</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>  <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> <span class="comment"></span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"> /** Constructor to initialize the tensor shape.</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> *</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"> * @param[in] dims Values to initialize the dimensions.</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> */</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">template</span> <<span class="keyword">typename</span>... Ts></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>  <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>  : _id{ { static_cast<T>(dims)... } }, _num_dimensions{ <span class="keyword">sizeof</span>...(dims) }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  {</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  }</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"></span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> /** Allow instances of this class to be copy constructed */</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <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> &) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"></span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> /** Allow instances of this class to be copied */</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0">Dimensions</a> &<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> &) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"></span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="comment"> /** Allow instances of this class to be move constructed */</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <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> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment"></span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"> /** Allow instances of this class to be moved */</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0">Dimensions</a> &<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> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"></span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="comment"> /** Accessor to set the value of one of the dimensions.</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment"> *</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="comment"> * @param[in] dimension Dimension for which the value is set.</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment"> * @param[in] value Value to be set for the dimension.</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="comment"> */</span></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>  <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>  {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(dimension >= <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>  _id[dimension] = value;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  _num_dimensions = std::max(_num_dimensions, dimension + 1);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }<span class="comment"></span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment"> /** Alias to access the size of the first dimension */</span></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>  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> <span class="keyword"> </span>{</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">return</span> _id[0];</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  }<span class="comment"></span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="comment"> /** Alias to access the size of the second dimension */</span></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>  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> <span class="keyword"> </span>{</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">return</span> _id[1];</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }<span class="comment"></span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment"> /** Alias to access the size of the third dimension */</span></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>  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> <span class="keyword"> </span>{</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">return</span> _id[2];</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }<span class="comment"></span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="comment"> /** Generic accessor to get the size of any dimension</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment"> *</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment"> * @note Precondition: dimension < Dimensions::num_max_dimensions</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment"> *</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"> * @param[in] dimension Dimension of the wanted size</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"> *</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment"> * @return The size of the requested dimension.</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment"> */</span></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>  <span class="keyword">const</span> T &<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> <span class="keyword"> </span>{</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(dimension >= <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>  <span class="keywordflow">return</span> _id[dimension];</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  }<span class="comment"></span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="comment"> /** Generic accessor to get the size of any dimension</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="comment"> *</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="comment"> * @note Precondition: dimension < Dimensions::num_max_dimensions</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="comment"> *</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="comment"> * @param[in] dimension Dimension of the wanted size</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment"> *</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="comment"> * @return The size of the requested dimension.</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="comment"> */</span></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>  T &<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>  {</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(dimension >= <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>  <span class="keywordflow">return</span> _id[dimension];</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  }<span class="comment"></span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="comment"> /** Returns the effective dimensionality of the tensor */</span></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>  <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> <span class="keyword"> </span>{</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">return</span> _num_dimensions;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  }</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="comment"></span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="comment"> /** Set number of dimensions */</span></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>  <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>  {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  _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>  }</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="comment"></span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="comment"> /** Collapse dimensions.</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="comment"> *</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="comment"> * @param[in] n Number of dimensions to collapse into @p first.</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="comment"> * @param[in] first Dimensions into which the following @p n are collapsed.</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="comment"> */</span></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>  <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>  {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(first + n > _id.size());</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <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> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordflow">if</span>(last > (first + 1))</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  {</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="comment">// Collapse dimensions into the first</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  _id[first] = <a class="code" href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">std::accumulate</a>(&_id[first], &_id[last], 1, std::multiplies<T>());</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="comment">// Shift the remaining dimensions down</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad9000ce99b9ffcec5722cade36d7e757">std::copy</a>(&_id[last], &_id[_num_dimensions], &_id[first + 1]);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="comment">// Reduce the number of dimensions</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <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>  _num_dimensions -= last - first - 1;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// Fill the now empty dimensions with zero</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1643f4cb252152ed8ffc0df84744ad5d">std::fill</a>(&_id[_num_dimensions], &_id[old_num_dimensions], 0);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  }</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  }</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="comment"></span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="comment"> /** Collapse dimensions starting from a given point</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="comment"> *</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="comment"> * @param[in] start Starting point of collapsing dimensions</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> <span class="comment"> */</span></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>  <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>  {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(start > <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> </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <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>  }</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="comment"></span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="comment"> /** Remove dimension of a given index</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="comment"> *</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="comment"> * @note If index is greater than the number of dimensions no operation is performed</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="comment"> *</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="comment"> * @param[in] idx Dimension index to remove</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="comment"> */</span></div><div class="line"><a name="l00175"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#a3e0f41c0e7278cadd08bf9216623ada3"> 175</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a3e0f41c0e7278cadd08bf9216623ada3">remove</a>(<span class="keywordtype">size_t</span> idx)</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  {</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(_num_dimensions < 1);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">if</span>(idx >= _num_dimensions)</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  {</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  }</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad9000ce99b9ffcec5722cade36d7e757">std::copy</a>(_id.begin() + idx + 1, _id.end(), _id.begin() + idx);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  _num_dimensions--;</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="comment">// Make sure all empty dimensions are filled with 0</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1643f4cb252152ed8ffc0df84744ad5d">std::fill</a>(_id.begin() + _num_dimensions, _id.end(), 0);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  }</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> <span class="comment"></span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> <span class="comment"> /** Returns a read/write iterator that points to the first element in the dimension array.</span></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="comment"> *</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> <span class="comment"> * @return an iterator.</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> <span class="comment"> */</span></div><div class="line"><a name="l00194"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#ab2878b67ca384a699c1270900b31290b"> 194</a></span>  <span class="keyword">typename</span> std::array<T, num_max_dimensions>::iterator <a class="code" href="classarm__compute_1_1_dimensions.xhtml#ab2878b67ca384a699c1270900b31290b">begin</a>()</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  {</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">return</span> _id.begin();</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  }<span class="comment"></span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> <span class="comment"> /** Returns a read-only (constant) iterator that points to the first element in the dimension array.</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <span class="comment"> *</span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="comment"> * @return an iterator.</span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="comment"> */</span></div><div class="line"><a name="l00202"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#ab3821c007799102f18ef1cf4ec88be9c"> 202</a></span>  <span class="keyword">typename</span> std::array<T, num_max_dimensions>::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="l00203"></a><span class="lineno"> 203</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordflow">return</span> _id.begin();</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  }<span class="comment"></span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> <span class="comment"> /** Returns a read-only (constant) iterator that points to the first element in the dimension array.</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> <span class="comment"> *</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="comment"> * @return an iterator.</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> <span class="comment"> */</span></div><div class="line"><a name="l00210"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#a8c9efb4e1ad142d58d65af400f20217d"> 210</a></span>  <span class="keyword">typename</span> std::array<T, num_max_dimensions>::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="l00211"></a><span class="lineno"> 211</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml#ab2878b67ca384a699c1270900b31290b">begin</a>();</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  }<span class="comment"></span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <span class="comment"> /** Returns a read/write iterator that points one past the last element in the dimension array.</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> <span class="comment"> *</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="comment"> * @return an iterator.</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> <span class="comment"> */</span></div><div class="line"><a name="l00218"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#ac684b52c6197edff9cccb3abd1e41f59"> 218</a></span>  <span class="keyword">typename</span> std::array<T, num_max_dimensions>::iterator <a class="code" href="classarm__compute_1_1_dimensions.xhtml#ac684b52c6197edff9cccb3abd1e41f59">end</a>()</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  {</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">return</span> _id.end();</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  }<span class="comment"></span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="comment"> /** Returns a read-only (constant) iterator that points one past the last element in the dimension array.</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <span class="comment"> *</span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="comment"> * @return an iterator.</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> <span class="comment"> */</span></div><div class="line"><a name="l00226"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#abfb712208ab2802329e9b75c0c61469f"> 226</a></span>  <span class="keyword">typename</span> std::array<T, num_max_dimensions>::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="l00227"></a><span class="lineno"> 227</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">return</span> _id.end();</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  }<span class="comment"></span></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="comment"> /** Returns a read-only (constant) iterator that points one past the last element in the dimension array.</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <span class="comment"> *</span></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> <span class="comment"> * @return an iterator.</span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> <span class="comment"> */</span></div><div class="line"><a name="l00234"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_dimensions.xhtml#afde273ebfa15fe83c690ad5cf6693c9f"> 234</a></span>  <span class="keyword">typename</span> std::array<T, num_max_dimensions>::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="l00235"></a><span class="lineno"> 235</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml#ac684b52c6197edff9cccb3abd1e41f59">end</a>();</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  }</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> <span class="keyword">protected</span>:<span class="comment"></span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> <span class="comment"> /** Protected destructor. */</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  ~<a class="code" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  std::array<T, num_max_dimensions> _id;</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordtype">size_t</span> _num_dimensions{ 0 };</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> };</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> <span class="comment"></span></div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> <span class="comment">/** Check that given dimensions are equal.</span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> <span class="comment"> *</span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> <span class="comment"> * @param[in] lhs Left-hand side Dimensions.</span></div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> <span class="comment"> * @param[in] rhs Right-hand side Dimensions.</span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="comment"> *</span></div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> <span class="comment"> * @return True if the given dimensions are equal.</span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> <span class="comment"> */</span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00255"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a096590f2456b9e9bcb8db98175720b60"> 255</a></span> <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<T></a> &lhs, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml">Dimensions<T></a> &rhs)</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> {</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <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>()) && 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="l00258"></a><span class="lineno"> 258</span> }<span class="comment"></span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> <span class="comment">/** Check that given dimensions are not equal.</span></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="comment"> *</span></div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="comment"> * @param[in] lhs Left-hand side Dimensions.</span></div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> <span class="comment"> * @param[in] rhs Right-hand side Dimensions.</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> <span class="comment"> *</span></div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> <span class="comment"> * @return True if the given dimensions are not equal.</span></div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> <span class="comment"> */</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00267"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a4e3ff85e1f6c648dfbe264f54c147451"> 267</a></span> <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<T></a> &lhs, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_dimensions.xhtml">Dimensions<T></a> &rhs)</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> {</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">return</span> !(lhs == rhs);</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> }</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> }</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> <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< T, num_max_dimensions >::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#l00202">Dimensions.h:202</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 & 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 & operator=(const Dimensions &)=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< T > &lhs, const Dimensions< T > &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#l00267">Dimensions.h:267</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#l00466">Error.h:466</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a3e0f41c0e7278cadd08bf9216623ada3"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a3e0f41c0e7278cadd08bf9216623ada3">arm_compute::Dimensions::remove</a></div><div class="ttdeci">void remove(size_t idx)</div><div class="ttdoc">Remove dimension of a given index.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00175">Dimensions.h:175</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< T > &lhs, const Dimensions< T > &rhs)</div><div class="ttdoc">Check that given dimensions are equal.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00255">Dimensions.h:255</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< T > copy(const SimpleTensor< T > &src, const TensorShape &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) 2017-2020 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< T, num_max_dimensions >::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#l00194">Dimensions.h:194</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< T, num_max_dimensions >::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#l00234">Dimensions.h:234</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< T, num_max_dimensions >::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#l00210">Dimensions.h:210</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 & 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< T, num_max_dimensions >::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#l00218">Dimensions.h:218</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< T, num_max_dimensions >::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#l00226">Dimensions.h:226</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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