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| <a href="_pyramid_info_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2016-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#ifndef ARM_COMPUTE_PYRAMIDINFO_H</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define ARM_COMPUTE_PYRAMIDINFO_H</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</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="preprocessor">#include <cstddef></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">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> {<span class="comment"></span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment">/** Store the Pyramid's metadata */</span></div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_pyramid_info.xhtml"> 35</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_pyramid_info.xhtml">PyramidInfo</a></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> /** Default constructor */</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9e7e3f78b86c0a7f2cdd1ab1e836b2ed">PyramidInfo</a>();<span class="comment"></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"> /** Default destructor */</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a443529237e92a4364aaf662644dfc686">~PyramidInfo</a>() = <span class="keywordflow">default</span>;<span class="comment"></span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment"> /** Allow instances of this class to be copy constructed */</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9e7e3f78b86c0a7f2cdd1ab1e836b2ed">PyramidInfo</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml">PyramidInfo</a> &) = <span class="keywordflow">default</span>;<span class="comment"></span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"> /** Allow instances of this class to be copied */</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml">PyramidInfo</a> &<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a21310a3eef49fc4f04b98897fc785b34">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml">PyramidInfo</a> &) = <span class="keywordflow">default</span>;<span class="comment"></span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"> /** Allow instances of this class to be move constructed */</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9e7e3f78b86c0a7f2cdd1ab1e836b2ed">PyramidInfo</a>(<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml">PyramidInfo</a> &&) = <span class="keywordflow">default</span>;<span class="comment"></span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> /** Allow instances of this class to be moved */</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml">PyramidInfo</a> &<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a21310a3eef49fc4f04b98897fc785b34">operator=</a>(<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml">PyramidInfo</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"></span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> /** Create pyramid info for 2D tensors</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> *</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> * @param[in] num_levels The number of pyramid levels. This is required to be a non-zero value</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> * @param[in] scale Used to indicate the scale between the pyramid levels.</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> * This is required to be a non-zero positive value.</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> * @param[in] width The width of the 2D tensor at 0th pyramid level</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> * @param[in] height The height of the 2D tensor at 0th pyramid level</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> * @param[in] format The format of all 2D tensors in the pyramid</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"> * NV12, NV21, IYUV, UYVY and YUYV formats are not supported.</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> */</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9e7e3f78b86c0a7f2cdd1ab1e836b2ed">PyramidInfo</a>(<span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>, <span class="keywordtype">float</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#ade87abafbd6b200b22de988f32b66dea">scale</a>, <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9ce99f5dfa1514cb108665e3810b2c4c">width</a>, <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#adc662cea5b05cd9852d5a4538586d662">height</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a7047a267776924cf166c301310f03a2c">format</a>);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"></span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="comment"> /** Create pyramid info using TensorShape</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"> *</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment"> * @param[in] num_levels The number of pyramid levels. This is required to be a non-zero value</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"> * @param[in] scale Used to indicate the scale between the pyramid levels.</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"> * This is required to be a non-zero positive value.</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> * @param[in] tensor_shape It specifies the size for each dimension of the tensor 0th pyramid level in number of elements</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="comment"> * @param[in] format The format of all tensors in the pyramid</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment"> */</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9e7e3f78b86c0a7f2cdd1ab1e836b2ed">PyramidInfo</a>(<span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>, <span class="keywordtype">float</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#ade87abafbd6b200b22de988f32b66dea">scale</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a82c695f3a9ca51633ea8743d5c09f122">tensor_shape</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a7047a267776924cf166c301310f03a2c">format</a>);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment"></span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="comment"> /** Initialize pyramid's metadata for 2D tensors</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="comment"> *</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment"> * @param[in] num_levels The number of pyramid levels. This is required to be a non-zero value</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment"> * @param[in] scale Used to indicate the scale between the pyramid levels.</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"> * This is required to be a non-zero positive value.</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"> * @param[in] width The width of the 2D tensor at 0th pyramid level</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment"> * @param[in] height The height of the 2D tensor at 0th pyramid level</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment"> * @param[in] format The format of all 2D tensors in the pyramid</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment"> * NV12, NV21, IYUV, UYVY and YUYV formats are not supported.</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"> */</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a741486bedb7b0966b1d4e6e7c6cccf60">init</a>(<span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>, <span class="keywordtype">float</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#ade87abafbd6b200b22de988f32b66dea">scale</a>, <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9ce99f5dfa1514cb108665e3810b2c4c">width</a>, <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#adc662cea5b05cd9852d5a4538586d662">height</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a7047a267776924cf166c301310f03a2c">format</a>);<span class="comment"></span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment"> /** Initialize pyramid's metadata using TensorShape</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="comment"> *</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment"> * @param[in] num_levels The number of pyramid levels. This is required to be a non-zero value</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="comment"> * @param[in] scale Used to indicate the scale between the pyramid levels.</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="comment"> * This is required to be a non-zero positive value.</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="comment"> * @param[in] tensor_shape It specifies the size for each dimension of the tensor 0th pyramid level in number of elements</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment"> * @param[in] format The format of all tensors in the pyramid</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="comment"> */</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a741486bedb7b0966b1d4e6e7c6cccf60">init</a>(<span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>, <span class="keywordtype">float</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#ade87abafbd6b200b22de988f32b66dea">scale</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a82c695f3a9ca51633ea8743d5c09f122">tensor_shape</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a7047a267776924cf166c301310f03a2c">format</a>);<span class="comment"></span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment"> /** Return the number of the pyramid levels</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment"> *</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="comment"> * @return The number of the pyramid levels</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment"> */</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>() <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment"> /** Return the width of the 0th level tensor</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"> *</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"> * @return The width of the 0th level tensor</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment"> */</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9ce99f5dfa1514cb108665e3810b2c4c">width</a>() <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment"> /** Return the height of the 0th level tensor</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="comment"> *</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment"> * @return The height of the 0th level tensor</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="comment"> */</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#adc662cea5b05cd9852d5a4538586d662">height</a>() <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="comment"> /** Return the TensorShape of the o-th level tensor</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="comment"> *</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="comment"> * @return</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="comment"> */</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a82c695f3a9ca51633ea8743d5c09f122">tensor_shape</a>() <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment"> /** Return the image format of all tensor in the pyramid</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="comment"> *</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="comment"> * @return The image format</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="comment"> */</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a7047a267776924cf166c301310f03a2c">format</a>() <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="comment"> /** Return the scale factor of the pyramid</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="comment"> *</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="comment"> * @return Return the scale factor</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="comment"> */</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordtype">float</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#ade87abafbd6b200b22de988f32b66dea">scale</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordtype">size_t</span> _num_levels;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> _tensor_shape;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> _format;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordtype">float</span> _scale;</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> }</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="preprocessor">#endif </span><span class="comment">/*ARM_COMPUTE_PYRAMIDINFO_H */</span><span class="preprocessor"></span></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 & 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_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="classarm__compute_1_1_pyramid_info_xhtml_a443529237e92a4364aaf662644dfc686"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#a443529237e92a4364aaf662644dfc686">arm_compute::PyramidInfo::~PyramidInfo</a></div><div class="ttdeci">virtual ~PyramidInfo()=default</div><div class="ttdoc">Default destructor.</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="classarm__compute_1_1_pyramid_info_xhtml_a7047a267776924cf166c301310f03a2c"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#a7047a267776924cf166c301310f03a2c">arm_compute::PyramidInfo::format</a></div><div class="ttdeci">Format format() const</div><div class="ttdoc">Return the image format of all tensor in the pyramid.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8cpp_source.xhtml#l00097">PyramidInfo.cpp:97</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_ab4e88c89b3b7ea1735996cc4def22d58"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">arm_compute::Format</a></div><div class="ttdeci">Format</div><div class="ttdoc">Image colour formats.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00053">Types.h:53</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="classarm__compute_1_1_pyramid_info_xhtml_a21310a3eef49fc4f04b98897fc785b34"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#a21310a3eef49fc4f04b98897fc785b34">arm_compute::PyramidInfo::operator=</a></div><div class="ttdeci">PyramidInfo & operator=(const PyramidInfo &)=default</div><div class="ttdoc">Allow instances of this class to be copied.</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_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_a9e7e3f78b86c0a7f2cdd1ab1e836b2ed"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#a9e7e3f78b86c0a7f2cdd1ab1e836b2ed">arm_compute::PyramidInfo::PyramidInfo</a></div><div class="ttdeci">PyramidInfo()</div><div class="ttdoc">Default constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8cpp_source.xhtml#l00033">PyramidInfo.cpp:33</a></div></div> |
| <div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div> |
| <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="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div> |
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