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| Anthony Barbier | 46d5927 | 2017-05-04 09:15:15 +0100 | [diff] [blame] | 43 |  <span id="projectnumber">17.05</span> |
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| 119 | <a href="_helpers_8inl.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2016, 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="_error_8h.xhtml">arm_compute/core/Error.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="_validate_8h.xhtml">arm_compute/core/Validate.h</a>"</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <cmath></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include <numeric></span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">inline</span> uint8_t delta_bilinear_c1u8(<span class="keyword">const</span> uint8_t *pixel_ptr, <span class="keywordtype">size_t</span> stride, <span class="keywordtype">float</span> dx, <span class="keywordtype">float</span> dy)</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <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="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> dx1 = 1.0f - dx;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> dy1 = 1.0f - dy;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> a00 = *pixel_ptr;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> a01 = *(pixel_ptr + 1);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> a10 = *(pixel_ptr + stride);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> a11 = *(pixel_ptr + stride + 1);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> w1 = dx1 * dy1;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> w2 = dx * dy1;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> w3 = dx1 * dy;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> w4 = dx * dy;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">return</span> a00 * w1 + a01 * w2 + a10 * w3 + a11 * w4;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> }</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="keyword">inline</span> uint8_t pixel_bilinear_c1u8(<span class="keyword">const</span> uint8_t *first_pixel_ptr, <span class="keywordtype">size_t</span> stride, <span class="keywordtype">float</span> x, <span class="keywordtype">float</span> y)</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <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="l00055"></a><span class="lineno"> 55</span> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">const</span> int32_t xi = x;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keyword">const</span> int32_t yi = y;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> dx = x - xi;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> dy = y - yi;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">return</span> delta_bilinear_c1u8(first_pixel_ptr + xi + yi * stride, stride, dx, dy);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> }</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="keyword">inline</span> uint8_t pixel_bilinear_c1u8_clamp(<span class="keyword">const</span> uint8_t *first_pixel_ptr, <span class="keywordtype">size_t</span> stride, <span class="keywordtype">size_t</span> width, <span class="keywordtype">size_t</span> height, <span class="keywordtype">float</span> x, <span class="keywordtype">float</span> y)</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <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="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  x = std::max(-1.f, std::min(x, static_cast<float>(width)));</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  y = std::max(-1.f, std::min(y, static_cast<float>(height)));</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> xi = std::floor(x);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> yi = std::floor(y);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> dx = x - xi;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> dy = y - yi;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> delta_bilinear_c1u8(first_pixel_ptr + static_cast<int32_t>(xi) + static_cast<int32_t>(yi) * stride, stride, dx, dy);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="keyword">inline</span> uint8_t pixel_area_c1u8_clamp(<span class="keyword">const</span> uint8_t *first_pixel_ptr, <span class="keywordtype">size_t</span> stride, <span class="keywordtype">size_t</span> width, <span class="keywordtype">size_t</span> height, <span class="keywordtype">float</span> wr, <span class="keywordtype">float</span> hr, <span class="keywordtype">int</span> x, <span class="keywordtype">int</span> y)</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <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="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// Calculate sampling position</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">float</span> in_x = (x + 0.5f) * wr - 0.5f;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordtype">float</span> in_y = (y + 0.5f) * hr - 0.5f;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="comment">// Get bounding box offsets</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordtype">int</span> x_from = std::floor(x * wr - 0.5f - in_x);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordtype">int</span> y_from = std::floor(y * hr - 0.5f - in_y);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordtype">int</span> x_to = std::ceil((x + 1) * wr - 0.5f - in_x);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordtype">int</span> y_to = std::ceil((y + 1) * hr - 0.5f - in_y);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// Clamp position to borders</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  in_x = std::max(-1.f, std::min(in_x, static_cast<float>(width)));</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  in_y = std::max(-1.f, std::min(in_y, static_cast<float>(height)));</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="comment">// Clamp bounding box offsets to borders</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  x_from = ((in_x + x_from) < -1) ? -1 : x_from;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  y_from = ((in_y + y_from) < -1) ? -1 : y_from;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  x_to = ((in_x + x_to) > width) ? (width - in_x) : x_to;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  y_to = ((in_y + y_to) > height) ? (height - in_y) : y_to;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">// Get pixel index</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> xi = std::floor(in_x);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> yi = std::floor(in_y);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="comment">// Bounding box elements in each dimension</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> x_elements = (x_to - x_from + 1);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> y_elements = (y_to - y_from + 1);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(x_elements == 0 || y_elements == 0);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// Sum pixels in area</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordtype">int</span> sum = 0;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> j = yi + y_from, je = yi + y_to; j <= je; ++j)</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  {</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keyword">const</span> uint8_t *ptr = first_pixel_ptr + j * stride + xi + x_from;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  sum = <a class="code" href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">std::accumulate</a>(ptr, ptr + x_elements, sum);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  }</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="comment">// Return average</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">return</span> sum / (x_elements * y_elements);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> }</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> }</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="preprocessor">#ifndef DOXYGEN_SKIP_THIS </span><span class="comment">/* Doxygen gets confused by the templates and can't match the implementation to the declaration */</span><span class="preprocessor"></span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="keyword">template</span> <<span class="keywordtype">size_t</span> dimension></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="keyword">struct </span>IncrementIterators</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> {</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span>... Ts></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> unroll(T &&it, Ts &&... iterators)</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  {</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  it.increment(dimension);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  IncrementIterators<dimension>::unroll<Ts...>(std::forward<Ts>(iterators)...);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  }</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> unroll(T &&it)</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  it.increment(dimension);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="comment">// End of recursion</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  }</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> };</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="keyword">template</span> <<span class="keywordtype">size_t</span> dim></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> <span class="keyword">struct </span>ForEachDimension</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> {</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> L, <span class="keyword">typename</span>... Ts></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> unroll(<span class="keyword">const</span> Window &w, Coordinates &<span class="keywordtype">id</span>, L &&lambda_function, Ts &&... iterators)</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  {</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keyword">const</span> <span class="keyword">auto</span> &d = w[dim - 1];</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> v = d.start(); v < d.end(); v += d.step(), IncrementIterators < dim - 1 >::unroll(iterators...))</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  {</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordtype">id</span>.set(dim - 1, v);</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  ForEachDimension < dim - 1 >::unroll(w, <span class="keywordtype">id</span>, lambda_function, iterators...);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  }</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  }</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> };</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="keyword">struct </span>ForEachDimension<0></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> {</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> L, <span class="keyword">typename</span>... Ts></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> unroll(<span class="keyword">const</span> Window &w, Coordinates &<span class="keywordtype">id</span>, L &&lambda_function, Ts &&... iterators)</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  {</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  lambda_function(<span class="keywordtype">id</span>);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  }</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> };</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="keyword">template</span> <<span class="keyword">typename</span> L, <span class="keyword">typename</span>... Ts></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute.xhtml#a78fd1c0056e9add7ab01b8e118c0038d">execute_window_loop</a>(<span class="keyword">const</span> Window &w, L &&lambda_function, Ts &&... iterators)</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> {</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  w.validate();</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  Coordinates id;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  ForEachDimension<Coordinates::num_max_dimensions>::unroll(w, <span class="keywordtype">id</span>, std::forward<L>(lambda_function), std::forward<Ts>(iterators)...);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> }</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> <span class="keyword">inline</span> constexpr <a class="code" href="classarm__compute_1_1_iterator.xhtml#a45381773d6cba2ad9e9d2d04515fa40b">Iterator::Iterator</a>()</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  : _ptr(nullptr), _dims()</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> {</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> }</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_iterator.xhtml#a45381773d6cba2ad9e9d2d04515fa40b">Iterator::Iterator</a>(<span class="keyword">const</span> ITensor *tensor, <span class="keyword">const</span> Window &win)</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  : Iterator()</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> {</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(tensor == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keyword">const</span> TensorInfo *info = tensor->info();</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(info == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keyword">const</span> Strides &strides = info->strides_in_bytes();</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  _ptr = tensor->buffer() + info->offset_first_element_in_bytes();</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="comment">//Initialize the stride for each dimension and calculate the position of the first element of the iteration:</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> n = 0; n < info->num_dimensions(); ++n)</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  {</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  _dims[n]._stride = win[n].step() * strides[n];</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  std::get<0>(_dims)._dim_start += strides[n] * win[n].start();</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  }</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> </div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="comment">//Copy the starting point to all the dimensions:</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> n = 1; n < <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">Coordinates::num_max_dimensions</a>; ++n)</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  {</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  _dims[n]._dim_start = std::get<0>(_dims)._dim_start;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  }</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <a class="code" href="_validate_8h.xhtml#af5084ef537306d09b1ef82aed5d1f63f">ARM_COMPUTE_ERROR_ON_WINDOW_DIMENSIONS_GTE</a>(win, info->num_dimensions());</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> }</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_iterator.xhtml#a6e507a84d19ad08bb0f7fc1558ec429a">Iterator::increment</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> dimension)</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> {</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(dimension >= Coordinates::num_max_dimensions);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  _dims[dimension]._dim_start += _dims[dimension]._stride;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> n = 0; n < dimension; ++n)</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  _dims[n]._dim_start = _dims[dimension]._dim_start;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  }</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> }</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> <span class="keyword">inline</span> constexpr <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_iterator.xhtml#a8760d21bd43ac13bd26489b7736245b3">Iterator::offset</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> <span class="keyword"></span>{</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">return</span> _dims.at(0)._dim_start;</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> }</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <span class="keyword">inline</span> constexpr uint8_t *<a class="code" href="classarm__compute_1_1_iterator.xhtml#a2f0d6383162e1af2df323c456a9335d3">Iterator::ptr</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> <span class="keyword"></span>{</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordflow">return</span> _ptr + _dims.at(0)._dim_start;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> }</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_iterator.xhtml#a599f5025b7e6b8bfead740a88e56d5bc">Iterator::reset</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> dimension)</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> {</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(dimension >= Coordinates::num_max_dimensions - 1);</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  _dims[dimension]._dim_start = _dims[dimension + 1]._dim_start;</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> n = 0; n < dimension; ++n)</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  {</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  _dims[n]._dim_start = _dims[dimension]._dim_start;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  }</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> }</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> }</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> <span class="preprocessor">#endif </span><span class="comment">/* DOXYGEN_SKIP_THIS */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_iterator_xhtml_a6e507a84d19ad08bb0f7fc1558ec429a"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml#a6e507a84d19ad08bb0f7fc1558ec429a">arm_compute::Iterator::increment</a></div><div class="ttdeci">void increment(size_t dimension)</div><div class="ttdoc">Increment the iterator along the specified dimension of the step value associated to the dimension...</div></div> |
| 120 | <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#l00100">Error.h:100</a></div></div> |
| 121 | <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_8dox_source.xhtml#l00001">arm_compute.dox:1</a></div></div> |
| 122 | <div class="ttc" id="namespacearm__compute_xhtml_a78fd1c0056e9add7ab01b8e118c0038d"><div class="ttname"><a href="namespacearm__compute.xhtml#a78fd1c0056e9add7ab01b8e118c0038d">arm_compute::execute_window_loop</a></div><div class="ttdeci">void execute_window_loop(const Window &w, L &&lambda_function, Ts &&...iterators)</div><div class="ttdoc">Iterate through the passed window, automatically adjusting the iterators and calling the lambda_funct...</div></div> |
| 123 | <div class="ttc" id="_error_8h_xhtml"><div class="ttname"><a href="_error_8h.xhtml">Error.h</a></div></div> |
| 124 | <div class="ttc" id="classarm__compute_1_1_iterator_xhtml_a45381773d6cba2ad9e9d2d04515fa40b"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml#a45381773d6cba2ad9e9d2d04515fa40b">arm_compute::Iterator::Iterator</a></div><div class="ttdeci">constexpr Iterator()</div><div class="ttdoc">Default constructor to create an empty iterator. </div></div> |
| 125 | <div class="ttc" id="_validate_8h_xhtml_af5084ef537306d09b1ef82aed5d1f63f"><div class="ttname"><a href="_validate_8h.xhtml#af5084ef537306d09b1ef82aed5d1f63f">ARM_COMPUTE_ERROR_ON_WINDOW_DIMENSIONS_GTE</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_WINDOW_DIMENSIONS_GTE(w, md)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00100">Validate.h:100</a></div></div> |
| 126 | <div class="ttc" id="classarm__compute_1_1_iterator_xhtml_a599f5025b7e6b8bfead740a88e56d5bc"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml#a599f5025b7e6b8bfead740a88e56d5bc">arm_compute::Iterator::reset</a></div><div class="ttdeci">void reset(size_t dimension)</div><div class="ttdoc">Move the iterator back to the beginning of the specified dimension. </div></div> |
| 127 | <div class="ttc" id="classarm__compute_1_1_iterator_xhtml_a2f0d6383162e1af2df323c456a9335d3"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml#a2f0d6383162e1af2df323c456a9335d3">arm_compute::Iterator::ptr</a></div><div class="ttdeci">constexpr uint8_t * ptr() const </div><div class="ttdoc">Return a pointer to the current pixel. </div></div> |
| 128 | <div class="ttc" id="accumulate_8cl_xhtml_a00e540076dd545ad59ac7482f8cdf514"><div class="ttname"><a href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">accumulate</a></div><div class="ttdeci">__kernel void accumulate(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *accu_ptr, uint accu_stride_x, uint accu_step_x, uint accu_stride_y, uint accu_step_y, uint accu_offset_first_element_in_bytes)</div><div class="ttdoc">This function accumulates an input image into output image. </div><div class="ttdef"><b>Definition:</b> <a href="accumulate_8cl_source.xhtml#l00041">accumulate.cl:41</a></div></div> |
| 129 | <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a1b67d5b720119d50faa286c774579ecc"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">arm_compute::Dimensions< int >::num_max_dimensions</a></div><div class="ttdeci">static constexpr size_t num_max_dimensions</div><div class="ttdoc">Number of dimensions the tensor has. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00045">Dimensions.h:45</a></div></div> |
| 130 | <div class="ttc" id="_validate_8h_xhtml"><div class="ttname"><a href="_validate_8h.xhtml">Validate.h</a></div></div> |
| 131 | <div class="ttc" id="classarm__compute_1_1_iterator_xhtml_a8760d21bd43ac13bd26489b7736245b3"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml#a8760d21bd43ac13bd26489b7736245b3">arm_compute::Iterator::offset</a></div><div class="ttdeci">constexpr int offset() const </div><div class="ttdoc">Return the offset in bytes from the first element to the current position of the iterator. </div></div> |
| 132 | </div><!-- fragment --></div><!-- contents --> |
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| 136 | <ul> |
| 137 | <li class="navelem"><a class="el" href="dir_214608ef36d61442cb2b0c1c4e9a7def.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="dir_1fb090f0c6070330bfaccc4236d3ca0d.xhtml">core</a></li><li class="navelem"><a class="el" href="_helpers_8inl.xhtml">Helpers.inl</a></li> |
| Anthony Barbier | 46d5927 | 2017-05-04 09:15:15 +0100 | [diff] [blame] | 138 | <li class="footer">Generated on Wed May 3 2017 17:20:03 for ARM Compute Library by |
| Anthony Barbier | 871448e | 2017-03-24 14:54:29 +0000 | [diff] [blame] | 139 | <a href="http://www.doxygen.org/index.html"> |
| 140 | <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li> |
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