arm_compute v17.04
[platform/upstream/armcl.git] / documentation / _pyramid_info_8h_source.xhtml
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119 <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>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2016, 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_PYRAMIDINFO_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_PYRAMIDINFO_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.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="_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &lt;cstddef&gt;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<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>&#160;{</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>&#160;<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>&#160;{</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;    <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9e7e3f78b86c0a7f2cdd1ab1e836b2ed">PyramidInfo</a>();</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a443529237e92a4364aaf662644dfc686">~PyramidInfo</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    <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> &amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml">PyramidInfo</a> &amp;<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> &amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    <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> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml">PyramidInfo</a> &amp;<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> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <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#a14af062b9f957e61e4efe171fe7065a3">num_levels</a>, <span class="keywordtype">float</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#ac0960069e9d05e0ee93ef010ce63913a">scale</a>, <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a20646dd69e82674924c6e5eb1458eefa">width</a>, <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#ac0e3c6ba1d3f8a8e50aa3e3897210a2b">height</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a0c875a3203d902e2ad6bc3045355e69e">format</a>);</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9e7e3f78b86c0a7f2cdd1ab1e836b2ed">PyramidInfo</a>(<span class="keywordtype">size_t</span> num_levels, <span class="keywordtype">float</span> scale, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#af3374fa8fcc6d226dc2b82317ab4d079">tensor_shape</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format);</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <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> num_levels, <span class="keywordtype">float</span> scale, <span class="keywordtype">size_t</span> width, <span class="keywordtype">size_t</span> height, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format);</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    <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> num_levels, <span class="keywordtype">float</span> scale, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;tensor_shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format);</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a14af062b9f957e61e4efe171fe7065a3">num_levels</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a20646dd69e82674924c6e5eb1458eefa">width</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#ac0e3c6ba1d3f8a8e50aa3e3897210a2b">height</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#af3374fa8fcc6d226dc2b82317ab4d079">tensor_shape</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a0c875a3203d902e2ad6bc3045355e69e">format</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    <span class="keywordtype">float</span> <a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#ac0960069e9d05e0ee93ef010ce63913a">scale</a>() <span class="keyword">const</span>;</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="keyword">private</span>:</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    <span class="keywordtype">size_t</span>      _num_levels;</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <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>&#160;    <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>      _format;</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    <span class="keywordtype">float</span>       _scale;</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;};</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;}</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_PYRAMIDINFO_H__ */</span><span class="preprocessor"></span></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#l00038">TensorShape.h:38</a></div></div>
120 <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>
121 <div class="ttc" id="_types_8h_xhtml"><div class="ttname"><a href="_types_8h.xhtml">Types.h</a></div></div>
122 <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&amp;#39;s metadata for 2D tensors. </div></div>
123 <div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml_af3374fa8fcc6d226dc2b82317ab4d079"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#af3374fa8fcc6d226dc2b82317ab4d079">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>
124 <div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml_ac0e3c6ba1d3f8a8e50aa3e3897210a2b"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#ac0e3c6ba1d3f8a8e50aa3e3897210a2b">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>
125 <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>
126 <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="_types_8h_source.xhtml#l00037">Types.h:37</a></div></div>
127 <div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml_a0c875a3203d902e2ad6bc3045355e69e"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#a0c875a3203d902e2ad6bc3045355e69e">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>
128 <div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml_a20646dd69e82674924c6e5eb1458eefa"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#a20646dd69e82674924c6e5eb1458eefa">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>
129 <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 &amp; operator=(const PyramidInfo &amp;)=default</div><div class="ttdoc">Allow instances of this class to be copied. </div></div>
130 <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&amp;#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8h_source.xhtml#l00035">PyramidInfo.h:35</a></div></div>
131 <div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml_a14af062b9f957e61e4efe171fe7065a3"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#a14af062b9f957e61e4efe171fe7065a3">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>
132 <div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml_ac0960069e9d05e0ee93ef010ce63913a"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#ac0960069e9d05e0ee93ef010ce63913a">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>
133 <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>
134 <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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