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 120 <a href="arm__compute_2core_2_helpers_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2016-2018 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_HELPERS_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_HELPERS_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_coordinates_8h.xhtml">arm_compute/core/Coordinates.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_error_8h.xhtml">arm_compute/core/Error.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_access_window_8h.xhtml">arm_compute/core/IAccessWindow.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_steps_8h.xhtml">arm_compute/core/Steps.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_strides_8h.xhtml">arm_compute/core/Strides.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_window_8h.xhtml">arm_compute/core/Window.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor">#include &lt;array&gt;</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#include &lt;cstddef&gt;</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">#include &lt;cstdint&gt;</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="preprocessor">#include &lt;memory&gt;</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="preprocessor">#include &lt;tuple&gt;</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="preprocessor">#include &lt;type_traits&gt;</span></div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="preprocessor">#include &lt;utility&gt;</span></div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;{</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="keyword">class </span>IKernel;</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;<span class="keyword">class </span>ITensor;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="keyword">class </span>ITensorInfo;</div><div class="line"><a name="l00049"></a><span class="lineno">   49</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> T&gt;</div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="structarm__compute_1_1enable__bitwise__ops.xhtml">   52</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarm__compute_1_1enable__bitwise__ops.xhtml">enable_bitwise_ops</a></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;{</div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="structarm__compute_1_1enable__bitwise__ops.xhtml#a5b4ee4ae6cba6bb75200ba7af1910873">   54</a></span>&#160;    <span class="keyword">static</span> constexpr <span class="keywordtype">bool</span> <a class="code" href="structarm__compute_1_1enable__bitwise__ops.xhtml#a5b4ee4ae6cba6bb75200ba7af1910873">value</a> = <span class="keyword">false</span>; </div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;};</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="preprocessor">#ifndef DOXYGEN_SKIP_THIS</span></div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="keyword">typename</span> std::enable_if&lt;enable_bitwise_ops&lt;T&gt;::value, T&gt;::type <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ad22ccda995864716ed21d20630405215">operator&amp;</a>(T lhs, T rhs)</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;{</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <span class="keyword">using</span> underlying_type = <span class="keyword">typename</span> std::underlying_type&lt;T&gt;::type;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span>T<span class="keyword">&gt;</span>(<span class="keyword">static_cast&lt;</span>underlying_type<span class="keyword">&gt;</span>(lhs) &amp; static_cast&lt;underlying_type&gt;(rhs));</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;}</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* DOXYGEN_SKIP_THIS */</span><span class="preprocessor"></span></div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> <a class="code" href="classarm__compute_1_1_kernel.xhtml">Kernel</a>, <span class="keyword">typename</span>... T&gt;</div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a35fb9d1dde1b976f4b7d361aabcc7c0d">   74</a></span>&#160;std::unique_ptr&lt;Kernel&gt; <a class="code" href="namespacearm__compute.xhtml#a35fb9d1dde1b976f4b7d361aabcc7c0d">create_configure_kernel</a>(T &amp;&amp;... args)</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;    std::unique_ptr&lt;Kernel&gt; k = arm_compute::support::cpp14::make_unique&lt;Kernel&gt;();</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    k-&gt;configure(std::forward&lt;T&gt;(args)...);</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    <span class="keywordflow">return</span> k;</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;}</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Kernel&gt;</div><div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#abc72c95941485d8a068fa38372308574">   86</a></span>&#160;std::unique_ptr&lt;Kernel&gt; <a class="code" href="namespacearm__compute.xhtml#abc72c95941485d8a068fa38372308574">create_kernel</a>()</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;{</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    std::unique_ptr&lt;Kernel&gt; k = arm_compute::support::cpp14::make_unique&lt;Kernel&gt;();</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <span class="keywordflow">return</span> k;</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;}</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1traits.xhtml">   92</a></span>&#160;<span class="keyword">namespace </span>traits</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;{</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> Tuple&gt;</div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="structarm__compute_1_1traits_1_1is__contained.xhtml">   96</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarm__compute_1_1traits_1_1is__contained.xhtml">is_contained</a>;</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="structarm__compute_1_1traits_1_1is__contained_3_01_t_00_01std_1_1tuple_3_4_01_4.xhtml">   99</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarm__compute_1_1traits_1_1is__contained.xhtml">is_contained</a>&lt;T, std::tuple&lt;&gt;&gt; : std::false_type</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;{</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;};</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span>... Ts&gt;</div><div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="structarm__compute_1_1traits_1_1is__contained_3_01_t_00_01std_1_1tuple_3_01_t_00_01_ts_8_8_8_01_4_01_4.xhtml">  104</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarm__compute_1_1traits_1_1is__contained.xhtml">is_contained</a>&lt;T, std::tuple&lt;T, Ts...&gt;&gt; : std::true_type</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;{</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;};</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, <span class="keyword">typename</span>... Ts&gt;</div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="structarm__compute_1_1traits_1_1is__contained_3_01_t_00_01std_1_1tuple_3_01_u_00_01_ts_8_8_8_01_4_01_4.xhtml">  109</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarm__compute_1_1traits_1_1is__contained.xhtml">is_contained</a>&lt;T, std::tuple&lt;U, Ts...&gt;&gt; : <a class="code" href="structarm__compute_1_1traits_1_1is__contained.xhtml">is_contained</a>&lt;T, std::tuple&lt;Ts...&gt;&gt;</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;{</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;};</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;}</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ad656a27ce8a507e31096ca45683ba9a5">  127</a></span>&#160;<span class="keyword">inline</span> T <a class="code" href="namespacearm__compute.xhtml#ad656a27ce8a507e31096ca45683ba9a5">delta_bilinear_c1</a>(<span class="keyword">const</span> T *pixel_ptr, <span class="keywordtype">size_t</span> stride, <span class="keywordtype">float</span> dx, <span class="keywordtype">float</span> dy)</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;{</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(pixel_ptr == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> dx1 = 1.0f - dx;</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> dy1 = 1.0f - dy;</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    <span class="keyword">const</span> T a00 = *pixel_ptr;</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    <span class="keyword">const</span> T a01 = *(pixel_ptr + 1);</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    <span class="keyword">const</span> T a10 = *(pixel_ptr + stride);</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    <span class="keyword">const</span> T a11 = *(pixel_ptr + stride + 1);</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> w1 = dx1 * dy1;</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> w2 = dx * dy1;</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> w3 = dx1 * dy;</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> w4 = dx * dy;</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">return</span> <span class="keyword">static_cast&lt;</span>T<span class="keyword">&gt;</span>(a00 * w1 + a01 * w2 + a10 * w3 + a11 * w4);</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;</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ad5fa8bacf824e9538014bfb0dcdaab52">  159</a></span>&#160;<span class="keyword">inline</span> T <a class="code" href="namespacearm__compute.xhtml#ad5fa8bacf824e9538014bfb0dcdaab52">delta_linear_c1_y</a>(<span class="keyword">const</span> T *pixel_ptr, <span class="keywordtype">size_t</span> stride, <span class="keywordtype">float</span> dy)</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;{</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(pixel_ptr == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> dy1 = 1.0f - dy;</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    <span class="keyword">const</span> T a00 = *pixel_ptr;</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    <span class="keyword">const</span> T a10 = *(pixel_ptr + stride);</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;    <span class="keyword">const</span> <span class="keywordtype">float</span> w1 = dy1;</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> w3 = dy;</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span>T<span class="keyword">&gt;</span>(a00 * w1 + a10 * w3);</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;}</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00184"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a6174495b626531de015ae2b810859287">  184</a></span>&#160;<span class="keyword">inline</span> T <a class="code" href="namespacearm__compute.xhtml#a6174495b626531de015ae2b810859287">delta_linear_c1_x</a>(<span class="keyword">const</span> T *pixel_ptr, <span class="keywordtype">float</span> dx)</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;{</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(pixel_ptr == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    <span class="keyword">const</span> T a00 = *pixel_ptr;</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;    <span class="keyword">const</span> T a01 = *(pixel_ptr + 1);</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> dx1 = 1.0f - dx;</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> w1 = dx1;</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> w2 = dx;</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span>T<span class="keyword">&gt;</span>(a00 * w1 + a01 * w2);</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;}</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00210"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a1c8d639ec2b3086a9506e72605a32333">  210</a></span>&#160;<span class="keyword">inline</span> T <a class="code" href="namespacearm__compute.xhtml#a1c8d639ec2b3086a9506e72605a32333">pixel_bilinear_c1</a>(<span class="keyword">const</span> T *first_pixel_ptr, <span class="keywordtype">size_t</span> stride, <span class="keywordtype">float</span> x, <span class="keywordtype">float</span> y)</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;{</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(first_pixel_ptr == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;    <span class="keyword">const</span> int32_t xi = std::floor(x);</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;    <span class="keyword">const</span> int32_t yi = std::floor(y);</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;    <span class="keyword">const</span> <span class="keywordtype">float</span> dx = x - xi;</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> dy = y - yi;</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#ad656a27ce8a507e31096ca45683ba9a5">delta_bilinear_c1</a>(first_pixel_ptr + xi + yi * stride, stride, dx, dy);</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;</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00237"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#afa55519774605e5b840fb031fdd7b196">  237</a></span>&#160;<span class="keyword">inline</span> uint8_t <a class="code" href="namespacearm__compute.xhtml#afa55519774605e5b840fb031fdd7b196">pixel_bilinear_c1_clamp</a>(<span class="keyword">const</span> T *first_pixel_ptr, <span class="keywordtype">size_t</span> stride, <span class="keywordtype">size_t</span> width, <span class="keywordtype">size_t</span> height, <span class="keywordtype">float</span> x, <span class="keywordtype">float</span> y)</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;{</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(first_pixel_ptr == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;    x = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(-1.f, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(x, static_cast&lt;float&gt;(width)));</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;    y = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(-1.f, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(y, static_cast&lt;float&gt;(height)));</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> xi = std::floor(x);</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> yi = std::floor(y);</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> dx = x - xi;</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> dy = y - yi;</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;    <span class="keywordflow">if</span>(dx == 0.0f)</div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;    {</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;        <span class="keywordflow">if</span>(dy == 0.0f)</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;        {</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span>T<span class="keyword">&gt;</span>(first_pixel_ptr[<span class="keyword">static_cast&lt;</span>int32_t<span class="keyword">&gt;</span>(xi) + static_cast&lt;int32_t&gt;(yi) * stride]);</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;        }</div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#ad5fa8bacf824e9538014bfb0dcdaab52">delta_linear_c1_y</a>(first_pixel_ptr + static_cast&lt;int32_t&gt;(xi) + static_cast&lt;int32_t&gt;(yi) * stride, stride, dy);</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;    }</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;    <span class="keywordflow">if</span>(dy == 0.0f)</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;    {</div><div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a6174495b626531de015ae2b810859287">delta_linear_c1_x</a>(first_pixel_ptr + static_cast&lt;int32_t&gt;(xi) + static_cast&lt;int32_t&gt;(yi) * stride, dx);</div><div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;    }</div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#ad656a27ce8a507e31096ca45683ba9a5">delta_bilinear_c1</a>(first_pixel_ptr + static_cast&lt;int32_t&gt;(xi) + static_cast&lt;int32_t&gt;(yi) * stride, stride, dx, dy);</div><div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;}</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;</div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;<span class="keyword">inline</span> uint8_t <a class="code" href="namespacearm__compute.xhtml#ab7b3af731907e85fcaf72555c446176b">pixel_area_c1u8_clamp</a>(<span class="keyword">const</span> uint8_t *first_pixel_ptr, <span class="keywordtype">size_t</span> stride, <span class="keywordtype">size_t</span> width, <span class="keywordtype">size_t</span> height, <span class="keywordtype">float</span> wr, <span class="keywordtype">float</span> hr, <span class="keywordtype">int</span> x, <span class="keywordtype">int</span> y);</div><div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;</div><div class="line"><a name="l00284"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_iterator.xhtml">  284</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a></div><div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;{</div><div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;    constexpr <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a>();</div><div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;    Iterator(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *tensor, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window);</div><div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;</div><div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;    <span class="keywordtype">void</span> increment(<span class="keywordtype">size_t</span> dimension);</div><div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;</div><div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;    constexpr <span class="keywordtype">int</span> <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;</div><div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;    constexpr uint8_t *ptr() <span class="keyword">const</span>;</div><div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;</div><div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;    <span class="keywordtype">void</span> reset(<span class="keywordtype">size_t</span> dimension);</div><div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;</div><div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;    uint8_t *_ptr;</div><div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;</div><div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;    <span class="keyword">class </span>Dimension</div><div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;    {</div><div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;    <span class="keyword">public</span>:</div><div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;        constexpr Dimension()</div><div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;            : _dim_start(0), _stride(0)</div><div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;        {</div><div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;        }</div><div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;</div><div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;        <span class="keywordtype">int</span> _dim_start;</div><div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;        <span class="keywordtype">int</span> _stride;</div><div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;    };</div><div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;</div><div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;    std::array&lt;Dimension, Coordinates::num_max_dimensions&gt; _dims;</div><div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;};</div><div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;</div><div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> L, <span class="keyword">typename</span>... Ts&gt;</div><div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">execute_window_loop</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;w, L &amp;&amp;lambda_function, Ts &amp;&amp;... iterators);</div><div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;</div><div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span>... Ts&gt;</div><div class="line"><a name="l00368"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ac2a92cae51d2734a65676052adb33c22">  368</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#ac2a92cae51d2734a65676052adb33c22">update_window_and_padding</a>(<a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;win, Ts &amp;&amp;... patterns)</div><div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;{</div><div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;    <span class="keywordtype">bool</span> window_changed = <span class="keyword">false</span>;</div><div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;</div><div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;    <a class="code" href="namespacearm__compute_1_1utility.xhtml#a067ebd28103d827b6ec17032e2344064">utility::for_each</a>([&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_access_window.xhtml">IAccessWindow</a> &amp; w)</div><div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;    {</div><div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;        window_changed |= w.<a class="code" href="classarm__compute_1_1_i_access_window.xhtml#a5b6940395e0168f3f00da892ded537aa">update_window_if_needed</a>(win);</div><div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;    },</div><div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;    patterns...);</div><div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;</div><div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;    <span class="keywordtype">bool</span> padding_changed = <span class="keyword">false</span>;</div><div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;</div><div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;    <a class="code" href="namespacearm__compute_1_1utility.xhtml#a067ebd28103d827b6ec17032e2344064">utility::for_each</a>([&amp;](<a class="code" href="classarm__compute_1_1_i_access_window.xhtml">IAccessWindow</a> &amp; w)</div><div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;    {</div><div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;        padding_changed |= w.<a class="code" href="classarm__compute_1_1_i_access_window.xhtml#a5a5f3d4d4461121db2e4e3b4d3ee587f">update_padding_if_needed</a>(win);</div><div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;    },</div><div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;    patterns...);</div><div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;</div><div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;    <span class="keywordflow">return</span> window_changed;</div><div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;}</div><div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;</div><div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;<a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> <a class="code" href="namespacearm__compute.xhtml#a1c28e5916fd54b778da115bfe646f588">calculate_max_window</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &amp;valid_region, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a> &amp;steps = <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a>(), <span class="keywordtype">bool</span> skip_border = <span class="keyword">false</span>, <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size = <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>());</div><div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;</div><div class="line"><a name="l00409"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#aa2117aef4381edbdf81e17ec088df7f1">  409</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> <a class="code" href="namespacearm__compute.xhtml#a1c28e5916fd54b778da115bfe646f588">calculate_max_window</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a> &amp;steps = <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a>(), <span class="keywordtype">bool</span> skip_border = <span class="keyword">false</span>, <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size = <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>())</div><div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;{</div><div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a1c28e5916fd54b778da115bfe646f588">calculate_max_window</a>(info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>(), steps, skip_border, border_size);</div><div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;}</div><div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;</div><div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;<a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> <a class="code" href="namespacearm__compute.xhtml#a252e257c58bfccbb272c0a5bf81d42cb">calculate_max_window_horizontal</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &amp;valid_region, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a> &amp;steps = <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a>(), <span class="keywordtype">bool</span> skip_border = <span class="keyword">false</span>, <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size = <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>());</div><div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;</div><div class="line"><a name="l00434"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a47456b4d520aee1cba80bf6e20f6685a">  434</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> <a class="code" href="namespacearm__compute.xhtml#a252e257c58bfccbb272c0a5bf81d42cb">calculate_max_window_horizontal</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;info, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a> &amp;steps = <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a>(), <span class="keywordtype">bool</span> skip_border = <span class="keyword">false</span>, <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size = <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>())</div><div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;{</div><div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a252e257c58bfccbb272c0a5bf81d42cb">calculate_max_window_horizontal</a>(info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>(), steps, skip_border, border_size);</div><div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;}</div><div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;</div><div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;<a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> <a class="code" href="namespacearm__compute.xhtml#a2bbb5d1cdb27c0e8c517cb7c544226c6">calculate_max_enlarged_window</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &amp;valid_region, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a> &amp;steps = <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a>(), <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size = <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>());</div><div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;</div><div class="line"><a name="l00457"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#afcdda83b6a85d5798f08d92c0e235e2e">  457</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> <a class="code" href="namespacearm__compute.xhtml#a2bbb5d1cdb27c0e8c517cb7c544226c6">calculate_max_enlarged_window</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;info, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a> &amp;steps = <a class="code" href="classarm__compute_1_1_steps.xhtml">Steps</a>(), <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size = <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>())</div><div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;{</div><div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a2bbb5d1cdb27c0e8c517cb7c544226c6">calculate_max_enlarged_window</a>(info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>(), steps, border_size);</div><div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;}</div><div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;</div><div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span>... Ts&gt;</div><div class="line"><a name="l00469"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a133621090cfb0f151340c6e04bd7bcc8">  469</a></span>&#160;<a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> <a class="code" href="namespacearm__compute.xhtml#a133621090cfb0f151340c6e04bd7bcc8">intersect_valid_regions</a>(<span class="keyword">const</span> Ts &amp;... regions)</div><div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;{</div><div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;    <span class="keyword">auto</span> intersect = [](<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &amp; r1, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &amp; r2) -&gt; <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a></div><div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;    {</div><div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;        <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> region;</div><div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;</div><div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> d = 0; d &lt; <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(r1.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(), r2.anchor.num_dimensions()); ++d)</div><div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;        {</div><div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;            region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">set</a>(d, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(r1.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>[d], r2.anchor[d]));</div><div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;        }</div><div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;</div><div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> d = 0; d &lt; <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(r1.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(), r2.shape.num_dimensions()); ++d)</div><div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;        {</div><div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;            region.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(d, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(r1.<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>[d], r2.shape[d]));</div><div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;        }</div><div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;</div><div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;        <span class="keywordflow">return</span> region;</div><div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;    };</div><div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;</div><div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1utility.xhtml#a043270c1f50c73bf9f91fcc4570ccf0c">utility::foldl</a>(intersect, regions...);</div><div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;}</div><div class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;</div><div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span>... Ts&gt;</div><div class="line"><a name="l00501"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a35178800b82e07a49da5a81cdeda9a0c">  501</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> <a class="code" href="namespacearm__compute.xhtml#a35178800b82e07a49da5a81cdeda9a0c">compute_strides</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;info, T stride_x, Ts &amp;&amp;... fixed_strides)</div><div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;{</div><div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a> = info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>();</div><div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;</div><div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160;    <span class="comment">// Create strides object</span></div><div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;    <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> strides(stride_x, fixed_strides...);</div><div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;</div><div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 1 + <span class="keyword">sizeof</span>...(Ts); i &lt; info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">num_dimensions</a>(); ++i)</div><div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;    {</div><div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160;        strides.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">set</a>(i, shape[i - 1] * strides[i - 1]);</div><div class="line"><a name="l00511"></a><span class="lineno">  511</span>&#160;    }</div><div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;</div><div class="line"><a name="l00513"></a><span class="lineno">  513</span>&#160;    <span class="keywordflow">return</span> strides;</div><div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;}</div><div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;</div><div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span>... Ts&gt;</div><div class="line"><a name="l00523"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a8c35748731709927597cb5a2c227e682">  523</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> <a class="code" href="namespacearm__compute.xhtml#a35178800b82e07a49da5a81cdeda9a0c">compute_strides</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;info)</div><div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;{</div><div class="line"><a name="l00525"></a><span class="lineno">  525</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a35178800b82e07a49da5a81cdeda9a0c">compute_strides</a>(info, info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#aa459796b5489eca8a9160cb5dcf1a103">element_size</a>());</div><div class="line"><a name="l00526"></a><span class="lineno">  526</span>&#160;}</div><div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160;</div><div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00536"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">  536</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">permute</a>(<a class="code" href="classarm__compute_1_1_dimensions.xhtml">Dimensions&lt;T&gt;</a> &amp;dimensions, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">PermutationVector</a> &amp;perm)</div><div class="line"><a name="l00537"></a><span class="lineno">  537</span>&#160;{</div><div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;    <span class="keyword">auto</span> dimensions_copy = utility::make_array&lt;Dimensions&lt;T&gt;::num_max_dimensions&gt;(dimensions.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#ab2878b67ca384a699c1270900b31290b">begin</a>(), dimensions.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#ac684b52c6197edff9cccb3abd1e41f59">end</a>());</div><div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; perm.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(); ++i)</div><div class="line"><a name="l00540"></a><span class="lineno">  540</span>&#160;    {</div><div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160;        T dimension_val = (perm[i] &lt; dimensions.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>()) ? dimensions_copy[perm[i]] : 0;</div><div class="line"><a name="l00542"></a><span class="lineno">  542</span>&#160;        dimensions.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">set</a>(i, dimension_val);</div><div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;    }</div><div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160;}</div><div class="line"><a name="l00545"></a><span class="lineno">  545</span>&#160;</div><div class="line"><a name="l00553"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a5045aaec85553032a782c44ab8d26341">  553</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">permute</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">PermutationVector</a> &amp;perm)</div><div class="line"><a name="l00554"></a><span class="lineno">  554</span>&#160;{</div><div class="line"><a name="l00555"></a><span class="lineno">  555</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> shape_copy = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>;</div><div class="line"><a name="l00556"></a><span class="lineno">  556</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; perm.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(); ++i)</div><div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;    {</div><div class="line"><a name="l00558"></a><span class="lineno">  558</span>&#160;        <span class="keywordtype">size_t</span> dimension_val = (perm[i] &lt; shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>()) ? shape_copy[perm[i]] : 1;</div><div class="line"><a name="l00559"></a><span class="lineno">  559</span>&#160;        shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(i, dimension_val, <span class="keyword">false</span>); <span class="comment">// Avoid changes in _num_dimension</span></div><div class="line"><a name="l00560"></a><span class="lineno">  560</span>&#160;    }</div><div class="line"><a name="l00561"></a><span class="lineno">  561</span>&#160;}</div><div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;</div><div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;<span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#a9a20062caae09fce4a567be558f9d702">auto_init_if_empty</a>(<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>       &amp;info,</div><div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;                        <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>,</div><div class="line"><a name="l00576"></a><span class="lineno">  576</span>&#160;                        <span class="keywordtype">int</span> num_channels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>,</div><div class="line"><a name="l00577"></a><span class="lineno">  577</span>&#160;                        <span class="keywordtype">int</span>              fixed_point_position,</div><div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;                        <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> quantization_info = <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>());</div><div class="line"><a name="l00579"></a><span class="lineno">  579</span>&#160;</div><div class="line"><a name="l00587"></a><span class="lineno">  587</span>&#160;<span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#a9a20062caae09fce4a567be558f9d702">auto_init_if_empty</a>(<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;info_sink, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;info_source);</div><div class="line"><a name="l00588"></a><span class="lineno">  588</span>&#160;</div><div class="line"><a name="l00596"></a><span class="lineno">  596</span>&#160;<span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#a9d1a839c51134b2ae171a2264c541b6f">set_shape_if_empty</a>(<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;info, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;shape);</div><div class="line"><a name="l00597"></a><span class="lineno">  597</span>&#160;</div><div class="line"><a name="l00606"></a><span class="lineno">  606</span>&#160;<span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#a8076ba239b6681067b6cfea7f773a39f">set_format_if_unknown</a>(<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;info, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format);</div><div class="line"><a name="l00607"></a><span class="lineno">  607</span>&#160;</div><div class="line"><a name="l00616"></a><span class="lineno">  616</span>&#160;<span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#ad19446be52c2c162fa678b9ae236f445">set_data_type_if_unknown</a>(<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;info, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type);</div><div class="line"><a name="l00617"></a><span class="lineno">  617</span>&#160;</div><div class="line"><a name="l00626"></a><span class="lineno">  626</span>&#160;<span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#aafd98bfd4651f36d691ddd2631a6e5a0">set_data_layout_if_unknown</a>(<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;info, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> data_layout);</div><div class="line"><a name="l00627"></a><span class="lineno">  627</span>&#160;</div><div class="line"><a name="l00636"></a><span class="lineno">  636</span>&#160;<span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#a0894ed18ca6f55d6053882676cc2c95c">set_fixed_point_position_if_zero</a>(<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;info, <span class="keywordtype">int</span> fixed_point_position);</div><div class="line"><a name="l00637"></a><span class="lineno">  637</span>&#160;</div><div class="line"><a name="l00646"></a><span class="lineno">  646</span>&#160;<span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#a75509469ec2689ec143f4a37bbcb4437">set_quantization_info_if_empty</a>(<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;info, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> quantization_info);</div><div class="line"><a name="l00647"></a><span class="lineno">  647</span>&#160;</div><div class="line"><a name="l00658"></a><span class="lineno">  658</span>&#160;<a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> <a class="code" href="namespacearm__compute.xhtml#a4f83578a33b502bf6419ead091249423">calculate_valid_region_scale</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;src_info, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;dst_shape,</div><div class="line"><a name="l00659"></a><span class="lineno">  659</span>&#160;                                         <a class="code" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9">InterpolationPolicy</a> interpolate_policy, <a class="code" href="namespacearm__compute.xhtml#a16a59381d4d74d17d86d69eb4d286d7b">SamplingPolicy</a> sampling_policy, <span class="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00660"></a><span class="lineno">  660</span>&#160;</div><div class="line"><a name="l00668"></a><span class="lineno">  668</span>&#160;<span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> <a class="code" href="namespacearm__compute.xhtml#ad34f2150f1c9f8a3ecb7298162124e5d">index2coords</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;shape, <span class="keywordtype">int</span> index);</div><div class="line"><a name="l00669"></a><span class="lineno">  669</span>&#160;</div><div class="line"><a name="l00677"></a><span class="lineno">  677</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute.xhtml#ad95e1c14c3007ca18950bf8f4c5a5c93">coords2index</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;coord);</div><div class="line"><a name="l00678"></a><span class="lineno">  678</span>&#160;</div><div class="line"><a name="l00686"></a><span class="lineno">  686</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">size_t</span> <a class="code" href="namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db">get_data_layout_dimension_index</a>(<span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> data_layout, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02">DataLayoutDimension</a> data_layout_dimension);</div><div class="line"><a name="l00687"></a><span class="lineno">  687</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00688"></a><span class="lineno">  688</span>&#160;</div><div class="line"><a name="l00689"></a><span class="lineno">  689</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_helpers_8inl.xhtml">arm_compute/core/Helpers.inl</a>&quot;</span></div><div class="line"><a name="l00690"></a><span class="lineno">  690</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_HELPERS_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a1f4e725b8e1ea36b30e09dc08ae6961d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">arm_compute::ITensorInfo::num_dimensions</a></div><div class="ttdeci">virtual size_t num_dimensions() const =0</div><div class="ttdoc">The number of dimensions of the tensor (rank) </div></div>
 121 <div class="ttc" id="namespacearm__compute_xhtml_a966a9c417ce5e94dca08d9b5e745c0c9"><div class="ttname"><a href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9">arm_compute::InterpolationPolicy</a></div><div class="ttdeci">InterpolationPolicy</div><div class="ttdoc">Interpolation method. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00388">Types.h:388</a></div></div>
 122 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00133">Convolution.cpp:133</a></div></div>
 123 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point&lt; T &gt; min(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00897">FixedPoint.h:897</a></div></div>
 124 <div class="ttc" id="namespacearm__compute_xhtml_a6174495b626531de015ae2b810859287"><div class="ttname"><a href="namespacearm__compute.xhtml#a6174495b626531de015ae2b810859287">arm_compute::delta_linear_c1_x</a></div><div class="ttdeci">T delta_linear_c1_x(const T *pixel_ptr, float dx)</div><div class="ttdoc">Computes linear interpolation using the pointer to the left pixel and the pixel&amp;#39;s distance between th...</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00184">Helpers.h:184</a></div></div>
 125 <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
 126 <div class="ttc" id="structarm__compute_1_1enable__bitwise__ops_xhtml_a5b4ee4ae6cba6bb75200ba7af1910873"><div class="ttname"><a href="structarm__compute_1_1enable__bitwise__ops.xhtml#a5b4ee4ae6cba6bb75200ba7af1910873">arm_compute::enable_bitwise_ops::value</a></div><div class="ttdeci">static constexpr bool value</div><div class="ttdoc">Disabled. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00054">Helpers.h:54</a></div></div>
 127 <div class="ttc" id="structarm__compute_1_1enable__bitwise__ops_xhtml"><div class="ttname"><a href="structarm__compute_1_1enable__bitwise__ops.xhtml">arm_compute::enable_bitwise_ops</a></div><div class="ttdoc">Disable bitwise operations by default. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00052">Helpers.h:52</a></div></div>
 128 <div class="ttc" id="namespacearm__compute_xhtml_ad34f2150f1c9f8a3ecb7298162124e5d"><div class="ttname"><a href="namespacearm__compute.xhtml#ad34f2150f1c9f8a3ecb7298162124e5d">arm_compute::index2coords</a></div><div class="ttdeci">Coordinates index2coords(const TensorShape &amp;shape, int index)</div><div class="ttdoc">Convert a linear index into n-dimensional coordinates. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00303">Helpers.inl:303</a></div></div>
 129 <div class="ttc" id="structarm__compute_1_1_valid_region_xhtml_a1fcd64682b37ed3c2098d0094ce788d8"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">arm_compute::ValidRegion::shape</a></div><div class="ttdeci">TensorShape shape</div><div class="ttdoc">Shape of the valid region. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00279">Types.h:279</a></div></div>
 130 <div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00291">Types.h:291</a></div></div>
 131 <div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02">arm_compute::DataLayoutDimension</a></div><div class="ttdeci">DataLayoutDimension</div><div class="ttdoc">Supported tensor data layout dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00118">Types.h:118</a></div></div>
 132 <div class="ttc" id="_window_8h_xhtml"><div class="ttname"><a href="_window_8h.xhtml">Window.h</a></div></div>
 133 <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#l00328">Error.h:328</a></div></div>
 134 <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor&amp;#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div>
 135 <div class="ttc" id="namespacearm__compute_xhtml_aafd98bfd4651f36d691ddd2631a6e5a0"><div class="ttname"><a href="namespacearm__compute.xhtml#aafd98bfd4651f36d691ddd2631a6e5a0">arm_compute::set_data_layout_if_unknown</a></div><div class="ttdeci">bool set_data_layout_if_unknown(ITensorInfo &amp;info, DataLayout data_layout)</div><div class="ttdoc">Set the data layout to the specified value if the current data layout is unknown. ...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00270">Helpers.inl:270</a></div></div>
 136 <div class="ttc" id="classarm__compute_1_1_i_access_window_xhtml_a5a5f3d4d4461121db2e4e3b4d3ee587f"><div class="ttname"><a href="classarm__compute_1_1_i_access_window.xhtml#a5a5f3d4d4461121db2e4e3b4d3ee587f">arm_compute::IAccessWindow::update_padding_if_needed</a></div><div class="ttdeci">virtual bool update_padding_if_needed(const Window &amp;window)=0</div><div class="ttdoc">Increase the padding to be large enough for the window. </div></div>
 137 <div class="ttc" id="namespacearm__compute_xhtml_ac2a92cae51d2734a65676052adb33c22"><div class="ttname"><a href="namespacearm__compute.xhtml#ac2a92cae51d2734a65676052adb33c22">arm_compute::update_window_and_padding</a></div><div class="ttdeci">bool update_window_and_padding(Window &amp;win, Ts &amp;&amp;...patterns)</div><div class="ttdoc">Update window and padding size for each of the access patterns. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00368">Helpers.h:368</a></div></div>
 138 <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>
 139 <div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00303">helpers.h:303</a></div></div>
 140 <div class="ttc" id="namespacearm__compute_xhtml_a252e257c58bfccbb272c0a5bf81d42cb"><div class="ttname"><a href="namespacearm__compute.xhtml#a252e257c58bfccbb272c0a5bf81d42cb">arm_compute::calculate_max_window_horizontal</a></div><div class="ttdeci">Window calculate_max_window_horizontal(const ValidRegion &amp;valid_region, const Steps &amp;steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())</div><div class="ttdoc">Calculate the maximum window used by a horizontal kernel for a given tensor shape and border setting...</div></div>
 141 <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div>
 142 <div class="ttc" id="namespacearm__compute_xhtml_ad19446be52c2c162fa678b9ae236f445"><div class="ttname"><a href="namespacearm__compute.xhtml#ad19446be52c2c162fa678b9ae236f445">arm_compute::set_data_type_if_unknown</a></div><div class="ttdeci">bool set_data_type_if_unknown(ITensorInfo &amp;info, DataType data_type)</div><div class="ttdoc">Set the data type and number of channels to the specified value if the current data type is unknown...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00259">Helpers.inl:259</a></div></div>
 143 <div class="ttc" id="_helpers_8inl_xhtml"><div class="ttname"><a href="_helpers_8inl.xhtml">Helpers.inl</a></div></div>
 144 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a096668313a9a819d54a2e65ec21ff0cc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info</a></div><div class="ttdeci">src info() -&gt; set_format(Format::S16)</div></div>
 145 <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
 146 <div class="ttc" id="classarm__compute_1_1_i_access_window_xhtml_a5b6940395e0168f3f00da892ded537aa"><div class="ttname"><a href="classarm__compute_1_1_i_access_window.xhtml#a5b6940395e0168f3f00da892ded537aa">arm_compute::IAccessWindow::update_window_if_needed</a></div><div class="ttdeci">virtual bool update_window_if_needed(Window &amp;window) const =0</div><div class="ttdoc">Shrink the window if padding is not large enough. </div></div>
 147 <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a74dfd07380a290c34fe7c8e065029b95"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">arm_compute::ITensorInfo::valid_region</a></div><div class="ttdeci">virtual ValidRegion valid_region() const =0</div><div class="ttdoc">Valid region of the tensor. </div></div>
 148 <div class="ttc" id="namespacearm__compute_xhtml_a2bbb5d1cdb27c0e8c517cb7c544226c6"><div class="ttname"><a href="namespacearm__compute.xhtml#a2bbb5d1cdb27c0e8c517cb7c544226c6">arm_compute::calculate_max_enlarged_window</a></div><div class="ttdeci">Window calculate_max_enlarged_window(const ValidRegion &amp;valid_region, const Steps &amp;steps=Steps(), BorderSize border_size=BorderSize())</div><div class="ttdoc">Calculate the maximum window for a given tensor shape and border setting. </div></div>
 149 <div class="ttc" id="namespacearm__compute_xhtml_a21c3e11887f3acf9284ca763372c7da0"><div class="ttname"><a href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">arm_compute::permute</a></div><div class="ttdeci">void permute(Dimensions&lt; T &gt; &amp;dimensions, const PermutationVector &amp;perm)</div><div class="ttdoc">Permutes given Dimensions according to a permutation vector. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00536">Helpers.h:536</a></div></div>
 150 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00116">GEMM.cpp:116</a></div></div>
 151 <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_ad22ccda995864716ed21d20630405215"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#ad22ccda995864716ed21d20630405215">arm_compute::test::framework::operator&amp;</a></div><div class="ttdeci">DatasetMode operator&amp;(DatasetMode t1, DatasetMode t2)</div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00048">DatasetModes.h:48</a></div></div>
 152 <div class="ttc" id="namespacearm__compute_1_1utility_xhtml_a043270c1f50c73bf9f91fcc4570ccf0c"><div class="ttname"><a href="namespacearm__compute_1_1utility.xhtml#a043270c1f50c73bf9f91fcc4570ccf0c">arm_compute::utility::foldl</a></div><div class="ttdeci">T &amp;&amp; foldl(F &amp;&amp;, T &amp;&amp;value)</div><div class="ttdoc">Base case of foldl. </div><div class="ttdef"><b>Definition:</b> <a href="_utility_8h_source.xhtml#l00113">Utility.h:113</a></div></div>
 153 <div class="ttc" id="namespacearm__compute_xhtml_ad5fa8bacf824e9538014bfb0dcdaab52"><div class="ttname"><a href="namespacearm__compute.xhtml#ad5fa8bacf824e9538014bfb0dcdaab52">arm_compute::delta_linear_c1_y</a></div><div class="ttdeci">T delta_linear_c1_y(const T *pixel_ptr, size_t stride, float dy)</div><div class="ttdoc">Computes linear interpolation using the pointer to the top pixel and the pixel&amp;#39;s distance between the...</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00159">Helpers.h:159</a></div></div>
 154 <div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::Channel::U</a></div><div class="ttdoc">Cb/U channel. </div></div>
 155 <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7c66505457d00ece3aa4b34cab80757d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">arm_compute::ITensorInfo::tensor_shape</a></div><div class="ttdeci">virtual const TensorShape &amp; tensor_shape() const =0</div><div class="ttdoc">Size for each dimension of the tensor. </div></div>
 156 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">arm_compute::Format</a></div><div class="ttdeci">Format</div><div class="ttdoc">Image colour formats. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00050">Types.h:50</a></div></div>
 157 <div class="ttc" id="namespacearm__compute_xhtml_a6c0dcc38187027dcb89cd9724bc5a823"><div class="ttname"><a href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">arm_compute::execute_window_loop</a></div><div class="ttdeci">void execute_window_loop(const Window &amp;w, L &amp;&amp;lambda_function, Ts &amp;&amp;...iterators)</div><div class="ttdoc">Iterate through the passed window, automatically adjusting the iterators and calling the lambda_funct...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00122">Helpers.inl:122</a></div></div>
 158 <div class="ttc" id="classarm__compute_1_1_steps_xhtml"><div class="ttname"><a href="classarm__compute_1_1_steps.xhtml">arm_compute::Steps</a></div><div class="ttdoc">Class to describe a number of elements in each dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_steps_8h_source.xhtml#l00040">Steps.h:40</a></div></div>
 159 <div class="ttc" id="namespacearm__compute_xhtml_a0894ed18ca6f55d6053882676cc2c95c"><div class="ttname"><a href="namespacearm__compute.xhtml#a0894ed18ca6f55d6053882676cc2c95c">arm_compute::set_fixed_point_position_if_zero</a></div><div class="ttdeci">bool set_fixed_point_position_if_zero(ITensorInfo &amp;info, int fixed_point_position)</div><div class="ttdoc">Set the fixed point position to the specified value if the current fixed point position is 0 and the ...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00281">Helpers.inl:281</a></div></div>
 160 <div class="ttc" id="classarm__compute_1_1_i_access_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_access_window.xhtml">arm_compute::IAccessWindow</a></div><div class="ttdoc">Interface describing methods to update access window and padding based on kernel parameters. </div><div class="ttdef"><b>Definition:</b> <a href="_i_access_window_8h_source.xhtml#l00071">IAccessWindow.h:71</a></div></div>
 161 <div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item. </div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div>
 162 <div class="ttc" id="namespacearm__compute_xhtml_a1c28e5916fd54b778da115bfe646f588"><div class="ttname"><a href="namespacearm__compute.xhtml#a1c28e5916fd54b778da115bfe646f588">arm_compute::calculate_max_window</a></div><div class="ttdeci">Window calculate_max_window(const ValidRegion &amp;valid_region, const Steps &amp;steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())</div><div class="ttdoc">Calculate the maximum window for a given tensor shape and border setting. </div></div>
 163 <div class="ttc" id="structarm__compute_1_1traits_1_1is__contained_xhtml"><div class="ttname"><a href="structarm__compute_1_1traits_1_1is__contained.xhtml">arm_compute::traits::is_contained</a></div><div class="ttdoc">Check if a type T is contained in a tuple Tuple of types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00096">Helpers.h:96</a></div></div>
 164 <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>
 165 <div class="ttc" id="namespacearm__compute_xhtml_ad95e1c14c3007ca18950bf8f4c5a5c93"><div class="ttname"><a href="namespacearm__compute.xhtml#ad95e1c14c3007ca18950bf8f4c5a5c93">arm_compute::coords2index</a></div><div class="ttdeci">int coords2index(const TensorShape &amp;shape, const Coordinates &amp;coord)</div><div class="ttdoc">Convert n-dimensional coordinates into a linear index. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00322">Helpers.inl:322</a></div></div>
 166 <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_aa459796b5489eca8a9160cb5dcf1a103"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#aa459796b5489eca8a9160cb5dcf1a103">arm_compute::ITensorInfo::element_size</a></div><div class="ttdeci">virtual size_t element_size() const =0</div><div class="ttdoc">Element size in bytes calculated as data_size() * num_channels() </div></div>
 167 <div class="ttc" id="_steps_8h_xhtml"><div class="ttname"><a href="_steps_8h.xhtml">Steps.h</a></div></div>
 168 <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>
 169 <div class="ttc" id="_error_8h_xhtml"><div class="ttname"><a href="_error_8h.xhtml">Error.h</a></div></div>
 170 <div class="ttc" id="namespacearm__compute_xhtml_abc72c95941485d8a068fa38372308574"><div class="ttname"><a href="namespacearm__compute.xhtml#abc72c95941485d8a068fa38372308574">arm_compute::create_kernel</a></div><div class="ttdeci">std::unique_ptr&lt; Kernel &gt; create_kernel()</div><div class="ttdoc">Helper function to create and return a unique_ptr pointed to a CL/GLES kernel object. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00086">Helpers.h:86</a></div></div>
 171 <div class="ttc" id="namespacearm__compute_xhtml_ad656a27ce8a507e31096ca45683ba9a5"><div class="ttname"><a href="namespacearm__compute.xhtml#ad656a27ce8a507e31096ca45683ba9a5">arm_compute::delta_bilinear_c1</a></div><div class="ttdeci">T delta_bilinear_c1(const T *pixel_ptr, size_t stride, float dx, float dy)</div><div class="ttdoc">Computes bilinear interpolation using the pointer to the top-left pixel and the pixel&amp;#39;s distance betw...</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00127">Helpers.h:127</a></div></div>
 172 <div class="ttc" id="namespacearm__compute_1_1utility_xhtml_a067ebd28103d827b6ec17032e2344064"><div class="ttname"><a href="namespacearm__compute_1_1utility.xhtml#a067ebd28103d827b6ec17032e2344064">arm_compute::utility::for_each</a></div><div class="ttdeci">void for_each(F &amp;&amp;)</div><div class="ttdoc">Base case of for_each. </div><div class="ttdef"><b>Definition:</b> <a href="_utility_8h_source.xhtml#l00091">Utility.h:91</a></div></div>
 173 <div class="ttc" id="namespacearm__compute_xhtml_a133621090cfb0f151340c6e04bd7bcc8"><div class="ttname"><a href="namespacearm__compute.xhtml#a133621090cfb0f151340c6e04bd7bcc8">arm_compute::intersect_valid_regions</a></div><div class="ttdeci">ValidRegion intersect_valid_regions(const Ts &amp;...regions)</div><div class="ttdoc">Intersect multiple valid regions. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00469">Helpers.h:469</a></div></div>
 174 <div class="ttc" id="classarm__compute_1_1_strides_xhtml"><div class="ttname"><a href="classarm__compute_1_1_strides.xhtml">arm_compute::Strides</a></div><div class="ttdoc">Strides of an item in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_strides_8h_source.xhtml#l00037">Strides.h:37</a></div></div>
 175 <div class="ttc" id="namespacearm__compute_xhtml_ab7b3af731907e85fcaf72555c446176b"><div class="ttname"><a href="namespacearm__compute.xhtml#ab7b3af731907e85fcaf72555c446176b">arm_compute::pixel_area_c1u8_clamp</a></div><div class="ttdeci">uint8_t pixel_area_c1u8_clamp(const uint8_t *first_pixel_ptr, size_t stride, size_t width, size_t height, float wr, float hr, int x, int y)</div><div class="ttdoc">Return the pixel at (x,y) using area interpolation by clamping when out of borders. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00032">Helpers.inl:32</a></div></div>
 176 <div class="ttc" id="classarm__compute_1_1_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_kernel.xhtml">arm_compute::Kernel</a></div><div class="ttdoc">Kernel class. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_kernel_library_8h_source.xhtml#l00150">CLKernelLibrary.h:150</a></div></div>
 177 <div class="ttc" id="_strides_8h_xhtml"><div class="ttname"><a href="_strides_8h.xhtml">Strides.h</a></div></div>
 178 <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>
 179 <div class="ttc" id="_coordinates_8h_xhtml"><div class="ttname"><a href="_coordinates_8h.xhtml">Coordinates.h</a></div></div>
 180 <div class="ttc" id="namespacearm__compute_xhtml_a1c8d639ec2b3086a9506e72605a32333"><div class="ttname"><a href="namespacearm__compute.xhtml#a1c8d639ec2b3086a9506e72605a32333">arm_compute::pixel_bilinear_c1</a></div><div class="ttdeci">T pixel_bilinear_c1(const T *first_pixel_ptr, size_t stride, float x, float y)</div><div class="ttdoc">Return the pixel at (x,y) using bilinear interpolation. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00210">Helpers.h:210</a></div></div>
 181 <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a0f59f175e7682c7ed5f4ea30ef687834"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">arm_compute::Dimensions::num_dimensions</a></div><div class="ttdeci">unsigned int num_dimensions() const </div><div class="ttdoc">Returns the effective dimensionality of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00122">Dimensions.h:122</a></div></div>
 182 <div class="ttc" id="namespacearm__compute_xhtml_a35fb9d1dde1b976f4b7d361aabcc7c0d"><div class="ttname"><a href="namespacearm__compute.xhtml#a35fb9d1dde1b976f4b7d361aabcc7c0d">arm_compute::create_configure_kernel</a></div><div class="ttdeci">std::unique_ptr&lt; Kernel &gt; create_configure_kernel(T &amp;&amp;...args)</div><div class="ttdoc">Helper function to create and return a unique_ptr pointed to a CL/GLES kernel object It also calls th...</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00074">Helpers.h:74</a></div></div>
 183 <div class="ttc" id="namespacearm__compute_xhtml_a4f83578a33b502bf6419ead091249423"><div class="ttname"><a href="namespacearm__compute.xhtml#a4f83578a33b502bf6419ead091249423">arm_compute::calculate_valid_region_scale</a></div><div class="ttdeci">ValidRegion calculate_valid_region_scale(const ITensorInfo &amp;src_info, const TensorShape &amp;dst_shape, InterpolationPolicy interpolate_policy, SamplingPolicy sampling_policy, bool border_undefined)</div><div class="ttdoc">Helper function to calculate the Valid Region for Scale. </div></div>
 184 <div class="ttc" id="namespacearm__compute_xhtml_a9d1a839c51134b2ae171a2264c541b6f"><div class="ttname"><a href="namespacearm__compute.xhtml#a9d1a839c51134b2ae171a2264c541b6f">arm_compute::set_shape_if_empty</a></div><div class="ttdeci">bool set_shape_if_empty(ITensorInfo &amp;info, const TensorShape &amp;shape)</div><div class="ttdoc">Set the shape to the specified value if the current assignment is empty. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00237">Helpers.inl:237</a></div></div>
 185 <div class="ttc" id="namespacearm__compute_xhtml_a35178800b82e07a49da5a81cdeda9a0c"><div class="ttname"><a href="namespacearm__compute.xhtml#a35178800b82e07a49da5a81cdeda9a0c">arm_compute::compute_strides</a></div><div class="ttdeci">Strides compute_strides(const ITensorInfo &amp;info, T stride_x, Ts &amp;&amp;...fixed_strides)</div><div class="ttdoc">Create a strides object based on the provided strides and the tensor dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00501">Helpers.h:501</a></div></div>
 186 <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a9c54fb6cea3557692fe7c00c40bb40ad"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">arm_compute::TensorShape::set</a></div><div class="ttdeci">TensorShape &amp; set(size_t dimension, size_t value, bool apply_dim_correction=true)</div><div class="ttdoc">Accessor to set the value of one of the dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00078">TensorShape.h:78</a></div></div>
 187 <div class="ttc" id="namespacearm__compute_xhtml_a8076ba239b6681067b6cfea7f773a39f"><div class="ttname"><a href="namespacearm__compute.xhtml#a8076ba239b6681067b6cfea7f773a39f">arm_compute::set_format_if_unknown</a></div><div class="ttdeci">bool set_format_if_unknown(ITensorInfo &amp;info, Format format)</div><div class="ttdoc">Set the format, data type and number of channels to the specified value if the current data type is u...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00248">Helpers.inl:248</a></div></div>
 188 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point&lt; T &gt; max(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00902">FixedPoint.h:902</a></div></div>
 189 <div class="ttc" id="structarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization settings (used for QASYMM8 data type) </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00127">Types.h:127</a></div></div>
 190 <div class="ttc" id="structarm__compute_1_1_valid_region_xhtml"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a></div><div class="ttdoc">Container for valid region of a window. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00206">Types.h:206</a></div></div>
 191 <div class="ttc" id="namespacearm__compute_xhtml_a46e938020a3ac8c926d0590b7fe957db"><div class="ttname"><a href="namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db">arm_compute::get_data_layout_dimension_index</a></div><div class="ttdeci">size_t get_data_layout_dimension_index(const DataLayout data_layout, const DataLayoutDimension data_layout_dimension)</div><div class="ttdoc">Get the index of the given dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00340">Helpers.inl:340</a></div></div>
 192 <div class="ttc" id="namespacearm__compute_xhtml_afa55519774605e5b840fb031fdd7b196"><div class="ttname"><a href="namespacearm__compute.xhtml#afa55519774605e5b840fb031fdd7b196">arm_compute::pixel_bilinear_c1_clamp</a></div><div class="ttdeci">uint8_t pixel_bilinear_c1_clamp(const T *first_pixel_ptr, size_t stride, size_t width, size_t height, float x, float y)</div><div class="ttdoc">Return the pixel at (x,y) using bilinear interpolation by clamping when out of borders. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00237">Helpers.h:237</a></div></div>
 193 <div class="ttc" id="classarm__compute_1_1_iterator_xhtml"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a></div><div class="ttdoc">Iterator updated by execute_window_loop for each window element. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00284">Helpers.h:284</a></div></div>
 194 <div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
 195 <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00072">Types.h:72</a></div></div>
 196 <div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdoc">Supported tensor data layouts. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00110">Types.h:110</a></div></div>
 197 <div class="ttc" id="namespacearm__compute_xhtml_a75509469ec2689ec143f4a37bbcb4437"><div class="ttname"><a href="namespacearm__compute.xhtml#a75509469ec2689ec143f4a37bbcb4437">arm_compute::set_quantization_info_if_empty</a></div><div class="ttdeci">bool set_quantization_info_if_empty(ITensorInfo &amp;info, QuantizationInfo quantization_info)</div><div class="ttdoc">Set the quantization info to the specified value if the current quantization info is empty and the da...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00292">Helpers.inl:292</a></div></div>
 198 <div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div>
 199 <div class="ttc" id="structarm__compute_1_1_valid_region_xhtml_a55a69b397082accd94221dd10b722cf7"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">arm_compute::ValidRegion::anchor</a></div><div class="ttdeci">Coordinates anchor</div><div class="ttdoc">Anchor for the start of the valid region. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00278">Types.h:278</a></div></div>
 200 <div class="ttc" id="_i_access_window_8h_xhtml"><div class="ttname"><a href="_i_access_window_8h.xhtml">IAccessWindow.h</a></div></div>
 201 <div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div>
 202 <div class="ttc" id="namespacearm__compute_xhtml_a16a59381d4d74d17d86d69eb4d286d7b"><div class="ttname"><a href="namespacearm__compute.xhtml#a16a59381d4d74d17d86d69eb4d286d7b">arm_compute::SamplingPolicy</a></div><div class="ttdeci">SamplingPolicy</div><div class="ttdoc">Available Sampling Policies. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00094">Types.h:94</a></div></div>
 203 <div class="ttc" id="namespacearm__compute_xhtml_a9a20062caae09fce4a567be558f9d702"><div class="ttname"><a href="namespacearm__compute.xhtml#a9a20062caae09fce4a567be558f9d702">arm_compute::auto_init_if_empty</a></div><div class="ttdeci">bool auto_init_if_empty(ITensorInfo &amp;info, const TensorShape &amp;shape, int num_channels, DataType data_type, int fixed_point_position, QuantizationInfo quantization_info=QuantizationInfo())</div><div class="ttdoc">Auto initialize the tensor info (shape, number of channels, data type and fixed point position) if th...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00201">Helpers.inl:201</a></div></div>
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