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<div class="title">CLGaussianPyramid.cpp</div> </div>
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<a href="_c_l_gaussian_pyramid_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2017-2019 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">#include &quot;<a class="code" href="_c_l_gaussian_pyramid_8h.xhtml">arm_compute/runtime/CL/functions/CLGaussianPyramid.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_c_l_tensor_8h.xhtml">arm_compute/core/CL/ICLTensor.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_gaussian_pyramid_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLGaussianPyramidKernel.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="_c_l_scale_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLScaleKernel.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="_error_8h.xhtml">arm_compute/core/Error.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="_pixel_value_8h.xhtml">arm_compute/core/PixelValue.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_info_8h.xhtml">arm_compute/core/TensorInfo.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="_validate_8h.xhtml">arm_compute/core/Validate.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="_window_8h.xhtml">arm_compute/core/Window.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="_toolchain_support_8h.xhtml">support/ToolchainSupport.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 &quot;<a class="code" href="_c_l_pyramid_8h.xhtml">arm_compute/runtime/CL/CLPyramid.h</a>&quot;</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_scheduler_8h.xhtml">arm_compute/runtime/CL/CLScheduler.h</a>&quot;</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_tensor_8h.xhtml">arm_compute/runtime/CL/CLTensor.h</a>&quot;</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_tensor_allocator_8h.xhtml">arm_compute/runtime/CL/CLTensorAllocator.h</a>&quot;</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_gaussian5x5_8h.xhtml">arm_compute/runtime/CL/functions/CLGaussian5x5.h</a>&quot;</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="preprocessor">#include &lt;cstddef&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">using 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"><a class="line" href="classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#a0254b4991bee72d364bd7c28cc674db5"> 46</a></span>&#160;<a class="code" href="classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#a0254b4991bee72d364bd7c28cc674db5">CLGaussianPyramid::CLGaussianPyramid</a>()</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; : _input(nullptr), _pyramid(nullptr), _tmp()</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;{</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;}</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#ac2d6975f7677ae5079004191a6a80968"> 51</a></span>&#160;<a class="code" href="classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#ac2d6975f7677ae5079004191a6a80968">CLGaussianPyramidHalf::CLGaussianPyramidHalf</a>() <span class="comment">// NOLINT</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; : _horizontal_border_handler(),</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; _vertical_border_handler(),</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; _horizontal_reduction(),</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; _vertical_reduction()</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;}</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;</div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#a9f1c2312374125fd95ee145a4f07515c"> 59</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#a9f1c2312374125fd95ee145a4f07515c">CLGaussianPyramidHalf::configure</a>(<a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml">CLPyramid</a> *pyramid, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, uint8_t constant_border_value)</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; <a class="code" href="_validate_8h.xhtml#aadf5c9cff86327b96d88d04649d9715e">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(pyramid == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;info()-&gt;num_dimensions() != pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a6f6fce8ca90f3e9a62e2cb48a07047f4">get_pyramid_level</a>(0)-&gt;<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b">num_dimensions</a>());</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;info()-&gt;dimension(0) != pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9ce99f5dfa1514cb108665e3810b2c4c">width</a>());</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;info()-&gt;dimension(1) != pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#adc662cea5b05cd9852d5a4538586d662">height</a>());</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute.xhtml#af9876aedd664cac0ddeacddb40cb71cd">SCALE_PYRAMID_HALF</a> != pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#ade87abafbd6b200b22de988f32b66dea">scale</a>());</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="comment">// Constant value to use for vertical fill border when the border mode is CONSTANT</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keyword">const</span> uint16_t pixel_value_u16 = static_cast&lt;uint16_t&gt;(constant_border_value) * 2 + static_cast&lt;uint16_t&gt;(constant_border_value) * 8 + static_cast&lt;uint16_t&gt;(constant_border_value) * 6;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="comment">/* Get number of pyramid levels */</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_levels = pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>();</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; _input = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; _pyramid = pyramid;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">if</span>(num_levels &gt; 1)</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; _horizontal_border_handler.resize(num_levels - 1);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; _vertical_border_handler.resize(num_levels - 1);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; _horizontal_reduction.resize(num_levels - 1);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; _vertical_reduction.resize(num_levels - 1);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="comment">// Apply half scale to the X dimension of the tensor shape</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> tensor_shape = pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a82c695f3a9ca51633ea8743d5c09f122">tensor_shape</a>();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; tensor_shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(0, (pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9ce99f5dfa1514cb108665e3810b2c4c">width</a>() + 1) * <a class="code" href="namespacearm__compute.xhtml#af9876aedd664cac0ddeacddb40cb71cd">SCALE_PYRAMID_HALF</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; <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml">PyramidInfo</a> pyramid_info(num_levels - 1, <a class="code" href="namespacearm__compute.xhtml#af9876aedd664cac0ddeacddb40cb71cd">SCALE_PYRAMID_HALF</a>, tensor_shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">Format::U16</a>);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; _tmp.init(pyramid_info);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; num_levels - 1; ++i)</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="comment">/* Configure horizontal kernel */</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; _horizontal_reduction[i].configure(_pyramid-&gt;get_pyramid_level(i), _tmp.get_pyramid_level(i));</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="comment">/* Configure vertical kernel */</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; _vertical_reduction[i].configure(_tmp.get_pyramid_level(i), _pyramid-&gt;get_pyramid_level(i + 1));</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="comment">/* Configure border */</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; _horizontal_border_handler[i].configure(_pyramid-&gt;get_pyramid_level(i), _horizontal_reduction[i].border_size(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a>(constant_border_value));</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; <span class="comment">/* Configure border */</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; _vertical_border_handler[i].configure(_tmp.get_pyramid_level(i), _vertical_reduction[i].border_size(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a>(pixel_value_u16));</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; _tmp.allocate();</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;</div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#ad1717410afd0be936c6213a63c8005fb"> 109</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#ad1717410afd0be936c6213a63c8005fb">CLGaussianPyramidHalf::run</a>()</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; <a class="code" href="_error_8h.xhtml#a0b0eb3235749a2909dc5a101afe59a1b">ARM_COMPUTE_ERROR_ON_MSG</a>(_pyramid == <span class="keyword">nullptr</span>, <span class="stringliteral">&quot;Unconfigured function&quot;</span>);</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; <span class="comment">/* Get number of pyramid levels */</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_levels = _pyramid-&gt;info()-&gt;num_levels();</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <span class="comment">/* The first level of the pyramid has the input image */</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; _pyramid-&gt;get_pyramid_level(0)-&gt;map(<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().queue(), <span class="keyword">true</span> <span class="comment">/* blocking */</span>);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; _input-&gt;map(<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().queue(), <span class="keyword">true</span> <span class="comment">/* blocking */</span>);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; _pyramid-&gt;get_pyramid_level(0)-&gt;copy_from(*_input);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; _input-&gt;unmap(<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().queue());</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; _pyramid-&gt;get_pyramid_level(0)-&gt;unmap(<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().queue());</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; num_levels - 1; ++i)</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; {</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_horizontal_border_handler[i], <span class="keyword">false</span>);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_horizontal_reduction[i], <span class="keyword">false</span>);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_vertical_border_handler[i], <span class="keyword">false</span>);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_vertical_reduction[i], <span class="keyword">false</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;}</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#a3039d9b3acf6992402f841a9290338f9"> 133</a></span>&#160;<a class="code" href="classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#a3039d9b3acf6992402f841a9290338f9">CLGaussianPyramidOrb::CLGaussianPyramidOrb</a>() <span class="comment">// NOLINT</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; : _gauss5x5(),</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; _scale_nearest()</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;{</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;}</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"><a class="line" href="classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#a9f1c2312374125fd95ee145a4f07515c"> 139</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#a9f1c2312374125fd95ee145a4f07515c">CLGaussianPyramidOrb::configure</a>(<a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml">CLPyramid</a> *pyramid, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, uint8_t constant_border_value)</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;{</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <a class="code" href="_validate_8h.xhtml#aadf5c9cff86327b96d88d04649d9715e">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<span class="keyword">nullptr</span> == pyramid);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;info()-&gt;num_dimensions() != pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a6f6fce8ca90f3e9a62e2cb48a07047f4">get_pyramid_level</a>(0)-&gt;<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b">num_dimensions</a>());</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;info()-&gt;dimension(0) != pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9ce99f5dfa1514cb108665e3810b2c4c">width</a>());</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;info()-&gt;dimension(1) != pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#adc662cea5b05cd9852d5a4538586d662">height</a>());</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute.xhtml#a2ebcd5423d5fba468e7debd2e1aabe91">SCALE_PYRAMID_ORB</a> != pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#ade87abafbd6b200b22de988f32b66dea">scale</a>());</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="comment">/* Get number of pyramid levels */</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_levels = pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>();</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; _input = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; _pyramid = pyramid;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="keywordflow">if</span>(num_levels &gt; 1)</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; {</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; _gauss5x5.resize(num_levels - 1);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; _scale_nearest.resize(num_levels - 1);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml">PyramidInfo</a> pyramid_info(num_levels - 1, <a class="code" href="namespacearm__compute.xhtml#a2ebcd5423d5fba468e7debd2e1aabe91">SCALE_PYRAMID_ORB</a>, pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a82c695f3a9ca51633ea8743d5c09f122">tensor_shape</a>(), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">Format::U8</a>);</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; _tmp.<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a741486bedb7b0966b1d4e6e7c6cccf60">init</a>(pyramid_info);</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="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; num_levels - 1; ++i)</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="comment">/* Configure gaussian 5x5 */</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; _gauss5x5[i].configure(_pyramid-&gt;get_pyramid_level(i), _tmp.get_pyramid_level(i), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, constant_border_value);</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="comment">/* Configure scale image kernel */</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; _scale_nearest[i].configure(_tmp.get_pyramid_level(i), _pyramid-&gt;get_pyramid_level(i + 1), <a class="code" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9a7f5ccbc3d30c2cd3fd04d567946cbde2">InterpolationPolicy::NEAREST_NEIGHBOR</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, <a class="code" href="namespacearm__compute.xhtml#a16a59381d4d74d17d86d69eb4d286d7bac397289ee45877be0cd49811fe245b4e">SamplingPolicy::CENTER</a>);</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; }</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; _tmp.allocate();</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; }</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;}</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#ad1717410afd0be936c6213a63c8005fb"> 176</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#ad1717410afd0be936c6213a63c8005fb">CLGaussianPyramidOrb::run</a>()</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160;{</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <a class="code" href="_error_8h.xhtml#a0b0eb3235749a2909dc5a101afe59a1b">ARM_COMPUTE_ERROR_ON_MSG</a>(_pyramid == <span class="keyword">nullptr</span>, <span class="stringliteral">&quot;Unconfigured function&quot;</span>);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <span class="comment">/* Get number of pyramid levels */</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_levels = _pyramid-&gt;info()-&gt;num_levels();</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <span class="comment">/* The first level of the pyramid has the input image */</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; _pyramid-&gt;get_pyramid_level(0)-&gt;map(<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().queue(), <span class="keyword">true</span> <span class="comment">/* blocking */</span>);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; _input-&gt;map(<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().queue(), <span class="keyword">true</span> <span class="comment">/* blocking */</span>);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; _pyramid-&gt;get_pyramid_level(0)-&gt;copy_from(*_input);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; _input-&gt;unmap(<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().queue());</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; _pyramid-&gt;get_pyramid_level(0)-&gt;unmap(<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().queue());</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; num_levels - 1; ++i)</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; {</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; _gauss5x5[i].run();</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_scale_nearest[i]);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; }</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;}</div><div class="ttc" id="namespacearm__compute_xhtml_a15a05537a472ee742404821851529327"><div class="ttname"><a href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">arm_compute::BorderMode</a></div><div class="ttdeci">BorderMode</div><div class="ttdoc">Methods available to handle borders.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00261">Types.h:261</a></div></div>
<div class="ttc" id="_pixel_value_8h_xhtml"><div class="ttname"><a href="_pixel_value_8h.xhtml">PixelValue.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a2ebcd5423d5fba468e7debd2e1aabe91"><div class="ttname"><a href="namespacearm__compute.xhtml#a2ebcd5423d5fba468e7debd2e1aabe91">arm_compute::SCALE_PYRAMID_ORB</a></div><div class="ttdeci">constexpr float SCALE_PYRAMID_ORB</div><div class="ttdoc">Constant value used to indicate a ORB scaled pyramid.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00112">Types.h:112</a></div></div>
<div class="ttc" id="_c_l_scale_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_scale_kernel_8h.xhtml">CLScaleKernel.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_af9876aedd664cac0ddeacddb40cb71cd"><div class="ttname"><a href="namespacearm__compute.xhtml#af9876aedd664cac0ddeacddb40cb71cd">arm_compute::SCALE_PYRAMID_HALF</a></div><div class="ttdeci">constexpr float SCALE_PYRAMID_HALF</div><div class="ttdoc">Constant value used to indicate a half-scale pyramid.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00109">Types.h:109</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml_a82c695f3a9ca51633ea8743d5c09f122"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#a82c695f3a9ca51633ea8743d5c09f122">arm_compute::PyramidInfo::tensor_shape</a></div><div class="ttdeci">const TensorShape &amp; tensor_shape() const</div><div class="ttdoc">Return the TensorShape of the o-th level tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8cpp_source.xhtml#l00092">PyramidInfo.cpp:92</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pixel_value_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pixel_value.xhtml">arm_compute::PixelValue</a></div><div class="ttdoc">Class describing the value of a pixel for any image format.</div><div class="ttdef"><b>Definition:</b> <a href="_pixel_value_8h_source.xhtml#l00034">PixelValue.h:34</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
<div class="ttc" id="_toolchain_support_8h_xhtml"><div class="ttname"><a href="_toolchain_support_8h.xhtml">ToolchainSupport.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_gaussian_pyramid_orb_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLGaussianPyramidOrb::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_gaussian_pyramid_8cpp_source.xhtml#l00176">CLGaussianPyramid.cpp:176</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00041">CLTensor.cpp:41</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_a9b58d0eb9a2af8e6d7908695e1557d6c"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">arm_compute::CLScheduler::get</a></div><div class="ttdeci">static CLScheduler &amp; get()</div><div class="ttdoc">Access the scheduler singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00099">CLScheduler.cpp:99</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">1 channel, 1 U8 per channel</div></div>
<div class="ttc" id="_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_8h.xhtml">CLTensor.h</a></div></div>
<div class="ttc" id="_c_l_gaussian5x5_8h_xhtml"><div class="ttname"><a href="_c_l_gaussian5x5_8h.xhtml">CLGaussian5x5.h</a></div></div>
<div class="ttc" id="_window_8h_xhtml"><div class="ttname"><a href="_window_8h.xhtml">Window.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_pyramid_xhtml_a7e9f724340af5b795b21a00d35eeb28e"><div class="ttname"><a href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">arm_compute::CLPyramid::info</a></div><div class="ttdeci">const PyramidInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the Pyramid's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_pyramid_8cpp_source.xhtml#l00118">CLPyramid.cpp:118</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml_a741486bedb7b0966b1d4e6e7c6cccf60"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#a741486bedb7b0966b1d4e6e7c6cccf60">arm_compute::PyramidInfo::init</a></div><div class="ttdeci">void init(size_t num_levels, float scale, size_t width, size_t height, Format format)</div><div class="ttdoc">Initialize pyramid's metadata for 2D tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8cpp_source.xhtml#l00050">PyramidInfo.cpp:50</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00466">Error.h:466</a></div></div>
<div class="ttc" id="_c_l_gaussian_pyramid_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_gaussian_pyramid_kernel_8h.xhtml">CLGaussianPyramidKernel.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::Format::U16</a></div><div class="ttdoc">1 channel, 1 U16 per channel</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a966a9c417ce5e94dca08d9b5e745c0c9a7f5ccbc3d30c2cd3fd04d567946cbde2"><div class="ttname"><a href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9a7f5ccbc3d30c2cd3fd04d567946cbde2">arm_compute::InterpolationPolicy::NEAREST_NEIGHBOR</a></div><div class="ttdoc">Output values are defined to match the source pixel whose center is nearest to the sample position.</div></div>
<div class="ttc" id="_tensor_info_8h_xhtml"><div class="ttname"><a href="_tensor_info_8h.xhtml">TensorInfo.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2020 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a16a59381d4d74d17d86d69eb4d286d7bac397289ee45877be0cd49811fe245b4e"><div class="ttname"><a href="namespacearm__compute.xhtml#a16a59381d4d74d17d86d69eb4d286d7bac397289ee45877be0cd49811fe245b4e">arm_compute::SamplingPolicy::CENTER</a></div><div class="ttdoc">Samples are taken at pixel center.</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8fcf2ddd9a1d58b1b280f5c0aed71845"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">arm_compute::test::validation::input</a></div><div class="ttdeci">auto input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">LSTMLayerQuantized.cpp:487</a></div></div>
<div class="ttc" id="_c_l_tensor_allocator_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_allocator_8h.xhtml">CLTensorAllocator.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_gaussian_pyramid_orb_xhtml_a3039d9b3acf6992402f841a9290338f9"><div class="ttname"><a href="classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#a3039d9b3acf6992402f841a9290338f9">arm_compute::CLGaussianPyramidOrb::CLGaussianPyramidOrb</a></div><div class="ttdeci">CLGaussianPyramidOrb()</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_gaussian_pyramid_8cpp_source.xhtml#l00133">CLGaussianPyramid.cpp:133</a></div></div>
<div class="ttc" id="_c_l_scheduler_8h_xhtml"><div class="ttname"><a href="_c_l_scheduler_8h.xhtml">CLScheduler.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_gaussian_pyramid_orb_xhtml_a9f1c2312374125fd95ee145a4f07515c"><div class="ttname"><a href="classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#a9f1c2312374125fd95ee145a4f07515c">arm_compute::CLGaussianPyramidOrb::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, CLPyramid *pyramid, BorderMode border_mode, uint8_t constant_border_value) override</div><div class="ttdoc">Initialise the function's source, destinations and border mode.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_gaussian_pyramid_8cpp_source.xhtml#l00139">CLGaussianPyramid.cpp:139</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a5471e46933e7a9c4709972d91fc4ea65"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">arm_compute::test::validation::border_mode</a></div><div class="ttdeci">border_mode</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00118">Convolution.cpp:118</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a13622133d9b41900a6a3e8f89e59a78b"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b">arm_compute::TensorInfo::num_dimensions</a></div><div class="ttdeci">size_t num_dimensions() const override</div><div class="ttdoc">The number of dimensions of the tensor (rank)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00253">TensorInfo.h:253</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_pyramid_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_pyramid.xhtml">arm_compute::CLPyramid</a></div><div class="ttdoc">Basic implementation of the OpenCL pyramid interface.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_pyramid_8h_source.xhtml#l00040">CLPyramid.h:40</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a0b0eb3235749a2909dc5a101afe59a1b"><div class="ttname"><a href="_error_8h.xhtml#a0b0eb3235749a2909dc5a101afe59a1b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond, msg)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00456">Error.h:456</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml_ade87abafbd6b200b22de988f32b66dea"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#ade87abafbd6b200b22de988f32b66dea">arm_compute::PyramidInfo::scale</a></div><div class="ttdeci">float scale() const</div><div class="ttdoc">Return the scale factor of the pyramid.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8cpp_source.xhtml#l00102">PyramidInfo.cpp:102</a></div></div>
<div class="ttc" id="_error_8h_xhtml"><div class="ttname"><a href="_error_8h.xhtml">Error.h</a></div></div>
<div class="ttc" id="_c_l_gaussian_pyramid_8h_xhtml"><div class="ttname"><a href="_c_l_gaussian_pyramid_8h.xhtml">CLGaussianPyramid.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_ae1a643e517f50bf0392fb6516dd7cf67"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">arm_compute::CLScheduler::enqueue</a></div><div class="ttdeci">void enqueue(ICLKernel &amp;kernel, bool flush=true)</div><div class="ttdoc">Schedule the execution of the passed kernel if possible.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00154">CLScheduler.cpp:154</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_aadf5c9cff86327b96d88d04649d9715e"><div class="ttname"><a href="_validate_8h.xhtml#aadf5c9cff86327b96d88d04649d9715e">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00790">Validate.h:790</a></div></div>
<div class="ttc" id="_c_l_pyramid_8h_xhtml"><div class="ttname"><a href="_c_l_pyramid_8h.xhtml">CLPyramid.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml">arm_compute::PyramidInfo</a></div><div class="ttdoc">Store the Pyramid's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8h_source.xhtml#l00035">PyramidInfo.h:35</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_gaussian_pyramid_xhtml_a0254b4991bee72d364bd7c28cc674db5"><div class="ttname"><a href="classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#a0254b4991bee72d364bd7c28cc674db5">arm_compute::CLGaussianPyramid::CLGaussianPyramid</a></div><div class="ttdeci">CLGaussianPyramid()</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_gaussian_pyramid_8cpp_source.xhtml#l00046">CLGaussianPyramid.cpp:46</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_gaussian_pyramid_half_xhtml_ac2d6975f7677ae5079004191a6a80968"><div class="ttname"><a href="classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#ac2d6975f7677ae5079004191a6a80968">arm_compute::CLGaussianPyramidHalf::CLGaussianPyramidHalf</a></div><div class="ttdeci">CLGaussianPyramidHalf()</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_gaussian_pyramid_8cpp_source.xhtml#l00051">CLGaussianPyramid.cpp:51</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_gaussian_pyramid_half_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLGaussianPyramidHalf::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_gaussian_pyramid_8cpp_source.xhtml#l00109">CLGaussianPyramid.cpp:109</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_tensor.xhtml">arm_compute::ICLTensor</a></div><div class="ttdoc">Interface for OpenCL tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_tensor_8h_source.xhtml#l00042">ICLTensor.h:42</a></div></div>
<div class="ttc" id="_i_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_i_c_l_tensor_8h.xhtml">ICLTensor.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_pyramid_xhtml_a6f6fce8ca90f3e9a62e2cb48a07047f4"><div class="ttname"><a href="classarm__compute_1_1_c_l_pyramid.xhtml#a6f6fce8ca90f3e9a62e2cb48a07047f4">arm_compute::CLPyramid::get_pyramid_level</a></div><div class="ttdeci">CLTensor * get_pyramid_level(size_t index) const override</div><div class="ttdoc">Retrieves a level of the pyramid as a ITensor pointer.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_pyramid_8cpp_source.xhtml#l00123">CLPyramid.cpp:123</a></div></div>
<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>
<div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml_a9ce99f5dfa1514cb108665e3810b2c4c"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#a9ce99f5dfa1514cb108665e3810b2c4c">arm_compute::PyramidInfo::width</a></div><div class="ttdeci">size_t width() const</div><div class="ttdoc">Return the width of the 0th level tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8cpp_source.xhtml#l00082">PyramidInfo.cpp:82</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml_aa2fea6640d2bd5de24d0e0c2433faab6"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">arm_compute::PyramidInfo::num_levels</a></div><div class="ttdeci">size_t num_levels() const</div><div class="ttdoc">Return the number of the pyramid levels.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8cpp_source.xhtml#l00077">PyramidInfo.cpp:77</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml_adc662cea5b05cd9852d5a4538586d662"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#adc662cea5b05cd9852d5a4538586d662">arm_compute::PyramidInfo::height</a></div><div class="ttdeci">size_t height() const</div><div class="ttdoc">Return the height of the 0th level tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8cpp_source.xhtml#l00087">PyramidInfo.cpp:87</a></div></div>
<div class="ttc" id="_validate_8h_xhtml"><div class="ttname"><a href="_validate_8h.xhtml">Validate.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_gaussian_pyramid_half_xhtml_a9f1c2312374125fd95ee145a4f07515c"><div class="ttname"><a href="classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#a9f1c2312374125fd95ee145a4f07515c">arm_compute::CLGaussianPyramidHalf::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, CLPyramid *pyramid, BorderMode border_mode, uint8_t constant_border_value) override</div><div class="ttdoc">Initialise the function's source, destinations and border mode.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_gaussian_pyramid_8cpp_source.xhtml#l00059">CLGaussianPyramid.cpp:59</a></div></div>
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