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<div id="projectname">Compute Library
-  <span id="projectnumber">18.03</span>
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<div class="title">TensorInfo.h</div> </div>
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-<a href="_tensor_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) 2016-2018 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_TENSORINFO_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_TENSORINFO_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="_i_tensor_info_8h.xhtml">arm_compute/core/ITensorInfo.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_i_tensor_info_8h.xhtml">ITensorInfo.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_coordinates_8h.xhtml">arm_compute/core/Coordinates.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="
_strides_8h.xhtml">arm_compute/core/Strides.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</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="l00033"></a><span class="lineno"> 33</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="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_utils_8h.xhtml">arm_compute/core/Utils.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include <cstddef></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include <memory></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">class </span>HOGInfo;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml"> 44</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>();</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a4eb5913c3ce5fe2bcbaafd8c9224d384">~TensorInfo</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#adcf156ba30ff118c28690671e83ea06b">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#adcf156ba30ff118c28690671e83ea06b">operator=</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</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_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a> = 0);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &tensor_shape, <span class="keywordtype">size_t</span> num_channels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a> = 0);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &tensor_shape, <span class="keywordtype">size_t</span> num_channels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &hog_info, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">init</a>(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">init</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &tensor_shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">init</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &tensor_shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec">strides_in_bytes</a>, <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904">offset_first_element_in_bytes</a>, <span class="keywordtype">size_t</span> total_size_in_bytes);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">init</a>(<span class="keywordtype">size_t</span> num_channels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a> = 0);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">init</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &tensor_shape, <span class="keywordtype">size_t</span> num_channels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a> = 0);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">init</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &tensor_shape, <span class="keywordtype">size_t</span> num_channels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> &strides_in_bytes, <span class="keywordtype">size_t</span> offset_first_element_in_bytes,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordtype">size_t</span> total_size_in_bytes, <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a> = 0);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">init</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &hog_info, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height);</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a4b7391b7025befbe44b743723feb4a9b">init_auto_padding</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &tensor_shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format);</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a4b7391b7025befbe44b743723feb4a9b">init_auto_padding</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &tensor_shape, <span class="keywordtype">size_t</span> num_channels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a> = 0);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a4b7391b7025befbe44b743723feb4a9b">init_auto_padding</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &hog_info, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height);</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  std::unique_ptr<ITensorInfo> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a4c066d42d665fafb8cfe80b99411e4fb">clone</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a613528bd0feb15ee8d6df06cbdb629f8">set_data_type</a>(<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type) <span class="keyword">override</span>;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a5b0a9fd674f8748506b6944c030bc47e">set_num_channels</a>(<span class="keywordtype">int</span> num_channels) <span class="keyword">override</span>;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#af501bc12f51874e786b0f28016a99ff7">set_format</a>(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format) <span class="keyword">override</span>;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a7b6610e6100c67d39b712df6f4f80dcf">set_tensor_shape</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a2732b9eab657cad69807adb815b97c9f">set_fixed_point_position</a>(<span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#acda9036ad24c455f67f2fea388a0ae13">set_quantization_info</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &quantization_info) <span class="keyword">override</span>;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ad29c039b6f3c4534928ed99aa9f53027">reset_padding</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">auto_padding</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#af53d8203ecc37896ca4579d1ee3fdffc">extend_padding</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00226"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97"> 226</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97">dimension</a>(<span class="keywordtype">size_t</span> index)<span class="keyword"> const override</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">return</span> _tensor_shape[index];</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  }</div><div class="line"><a name="l00230"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec"> 230</a></span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec">strides_in_bytes</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">return</span> _strides_in_bytes;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div><div class="line"><a name="l00234"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904"> 234</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904">offset_first_element_in_bytes</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">return</span> _offset_first_element_in_bytes;</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  }</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a147790358ccd40f61dcd618cd4edd688">offset_element_in_bytes</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &pos) <span class="keyword">const override</span>;</div><div class="line"><a name="l00239"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b"> 239</a></span>  <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordflow">return</span> _fixed_point_position;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  }</div><div class="line"><a name="l00243"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a62b67b578f684c4d516843c9dea86a23"> 243</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a62b67b578f684c4d516843c9dea86a23">element_size</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#abb7e0f23a4f2e63f39433f158dad47ab">data_size_from_type</a>(_data_type) * _num_channels;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  }</div><div class="line"><a name="l00247"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b"> 247</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b">num_dimensions</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">return</span> _tensor_shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>();</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  }</div><div class="line"><a name="l00251"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c"> 251</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">return</span> _num_channels;</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  }</div><div class="line"><a name="l00255"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e"> 255</a></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_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">return</span> _tensor_shape;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  }</div><div class="line"><a name="l00259"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881"> 259</a></span>  <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">return</span> _data_type;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  }</div><div class="line"><a name="l00263"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db"> 263</a></span>  <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">return</span> _format;</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  }</div><div class="line"><a name="l00267"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60"> 267</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60">total_size</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">return</span> _total_size;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  }</div><div class="line"><a name="l00271"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7"> 271</a></span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">return</span> _padding;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  }</div><div class="line"><a name="l00275"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#aa2ca251f99c56767719e991a26371603"> 275</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aa2ca251f99c56767719e991a26371603">has_padding</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordflow">return</span> !_padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#adffbf97e7b8b64e7cf32f0254cddf3c4">empty</a>();</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  }</div><div class="line"><a name="l00279"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3"> 279</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">return</span> _is_resizable;</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  }</div><div class="line"><a name="l00283"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a78bf77b2d9b959259f77a32b9a412184"> 283</a></span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a78bf77b2d9b959259f77a32b9a412184">set_is_resizable</a>(<span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>)<span class="keyword"> override</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  _is_resizable = <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  }</div><div class="line"><a name="l00288"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482"> 288</a></span>  <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">return</span> _valid_region;</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  }</div><div class="line"><a name="l00292"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a43e45363267b6bce4bb6770febe9ce11"> 292</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a43e45363267b6bce4bb6770febe9ce11">set_valid_region</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>)<span class="keyword"> override</span></div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  _valid_region = <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  }</div><div class="line"><a name="l00296"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44"> 296</a></span>  <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordflow">return</span> _quantization_info;</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  }</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  std::tuple<Strides, size_t, size_t> calculate_padding_requirements(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a> &padding);</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> </div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordtype">size_t</span> _total_size;</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordtype">int</span> _fixed_point_position;</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordtype">size_t</span> _offset_first_element_in_bytes;</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> _strides_in_bytes;</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordtype">size_t</span> _num_channels;</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> _tensor_shape;</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> _data_type;</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> _format;</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordtype">bool</span> _is_resizable;</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> _valid_region;</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a> _padding;</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> _quantization_info;</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span> };</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> }</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span> <span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_TENSORINFO_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a2732b9eab657cad69807adb815b97c9f"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a2732b9eab657cad69807adb815b97c9f">arm_compute::TensorInfo::set_fixed_point_position</a></div><div class="ttdeci">ITensorInfo & set_fixed_point_position(int fixed_point_position) override</div><div class="ttdoc">Set the fixed point position to the specified value. </div></div>
-<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_adffbf97e7b8b64e7cf32f0254cddf3c4"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#adffbf97e7b8b64e7cf32f0254cddf3c4">arm_compute::BorderSize::empty</a></div><div class="ttdeci">constexpr bool empty() const </div><div class="ttdoc">Check if the entire border is zero. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00256">Types.h:256</a></div></div>
+<a href="_tensor_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) 2016-2018 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_TENSORINFO_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_TENSORINFO_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="_i_tensor_info_8h.xhtml">arm_compute/core/ITensorInfo.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_i_tensor_info_8h.xhtml">ITensorInfo.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_coordinates_8h.xhtml">arm_compute/core/Coordinates.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="
arm__compute_2core_2_helpers_8h.xhtml">arm_compute/core/Helpers.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_strides_8h.xhtml">arm_compute/core/Strides.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</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="l00034"></a><span class="lineno"> 34</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="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_utils_8h.xhtml">arm_compute/core/Utils.h</a>"</span></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="preprocessor">#include <cstddef></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include <memory></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">class </span>HOGInfo;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml"> 45</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>();</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a4eb5913c3ce5fe2bcbaafd8c9224d384">~TensorInfo</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#adcf156ba30ff118c28690671e83ea06b">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#adcf156ba30ff118c28690671e83ea06b">operator=</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</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_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a> = 0);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &tensor_shape, <span class="keywordtype">size_t</span> num_channels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a> = 0);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &tensor_shape, <span class="keywordtype">size_t</span> num_channels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &hog_info, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">init</a>(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">init</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &tensor_shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">init</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &tensor_shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec">strides_in_bytes</a>, <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904">offset_first_element_in_bytes</a>, <span class="keywordtype">size_t</span> total_size_in_bytes);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">init</a>(<span class="keywordtype">size_t</span> num_channels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a> = 0);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">init</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &tensor_shape, <span class="keywordtype">size_t</span> num_channels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a> = 0);</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">init</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &tensor_shape, <span class="keywordtype">size_t</span> num_channels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> &strides_in_bytes, <span class="keywordtype">size_t</span> offset_first_element_in_bytes,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordtype">size_t</span> total_size_in_bytes, <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a> = 0);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">init</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &hog_info, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a4b7391b7025befbe44b743723feb4a9b">init_auto_padding</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &tensor_shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a4b7391b7025befbe44b743723feb4a9b">init_auto_padding</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &tensor_shape, <span class="keywordtype">size_t</span> num_channels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a> = 0);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a4b7391b7025befbe44b743723feb4a9b">init_auto_padding</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &hog_info, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  std::unique_ptr<ITensorInfo> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a4c066d42d665fafb8cfe80b99411e4fb">clone</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a613528bd0feb15ee8d6df06cbdb629f8">set_data_type</a>(<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type) <span class="keyword">override</span>;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a5b0a9fd674f8748506b6944c030bc47e">set_num_channels</a>(<span class="keywordtype">int</span> num_channels) <span class="keyword">override</span>;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#af501bc12f51874e786b0f28016a99ff7">set_format</a>(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format) <span class="keyword">override</span>;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a7b6610e6100c67d39b712df6f4f80dcf">set_tensor_shape</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a2732b9eab657cad69807adb815b97c9f">set_fixed_point_position</a>(<span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#acda9036ad24c455f67f2fea388a0ae13">set_quantization_info</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &quantization_info) <span class="keyword">override</span>;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a16d275e5270f2c36a04764c863d852b6">set_data_layout</a>(<span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a5f63b63606dbbbe54474e6e970a6738c">data_layout</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ad29c039b6f3c4534928ed99aa9f53027">reset_padding</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">auto_padding</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#af53d8203ecc37896ca4579d1ee3fdffc">extend_padding</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00230"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97"> 230</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97">dimension</a>(<span class="keywordtype">size_t</span> index)<span class="keyword"> const override</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">return</span> _tensor_shape[index];</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div><div class="line"><a name="l00234"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a650247f9a828d1ef60135b01f8f77765"> 234</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a650247f9a828d1ef60135b01f8f77765">dimension</a>(<a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02">DataLayoutDimension</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97">dimension</a>)<span class="keyword"> const override</span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db">get_data_layout_dimension_index</a>(_data_layout, dimension);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  }</div><div class="line"><a name="l00238"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec"> 238</a></span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec">strides_in_bytes</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">return</span> _strides_in_bytes;</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  }</div><div class="line"><a name="l00242"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904"> 242</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904">offset_first_element_in_bytes</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordflow">return</span> _offset_first_element_in_bytes;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  }</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a147790358ccd40f61dcd618cd4edd688">offset_element_in_bytes</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &pos) <span class="keyword">const override</span>;</div><div class="line"><a name="l00247"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b"> 247</a></span>  <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">return</span> _fixed_point_position;</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  }</div><div class="line"><a name="l00251"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a62b67b578f684c4d516843c9dea86a23"> 251</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a62b67b578f684c4d516843c9dea86a23">element_size</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#abb7e0f23a4f2e63f39433f158dad47ab">data_size_from_type</a>(_data_type) * _num_channels;</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  }</div><div class="line"><a name="l00255"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b"> 255</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b">num_dimensions</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">return</span> _tensor_shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>();</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  }</div><div class="line"><a name="l00259"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c"> 259</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">return</span> _num_channels;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  }</div><div class="line"><a name="l00263"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e"> 263</a></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_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">return</span> _tensor_shape;</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  }</div><div class="line"><a name="l00267"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881"> 267</a></span>  <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">return</span> _data_type;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  }</div><div class="line"><a name="l00271"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db"> 271</a></span>  <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">return</span> _format;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  }</div><div class="line"><a name="l00275"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60"> 275</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60">total_size</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordflow">return</span> _total_size;</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  }</div><div class="line"><a name="l00279"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7"> 279</a></span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">return</span> _padding;</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  }</div><div class="line"><a name="l00283"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#aa2ca251f99c56767719e991a26371603"> 283</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aa2ca251f99c56767719e991a26371603">has_padding</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keywordflow">return</span> !_padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#adffbf97e7b8b64e7cf32f0254cddf3c4">empty</a>();</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  }</div><div class="line"><a name="l00287"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3"> 287</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keywordflow">return</span> _is_resizable;</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  }</div><div class="line"><a name="l00291"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a78bf77b2d9b959259f77a32b9a412184"> 291</a></span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a78bf77b2d9b959259f77a32b9a412184">set_is_resizable</a>(<span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>)<span class="keyword"> override</span></div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  _is_resizable = <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>;</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  }</div><div class="line"><a name="l00296"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482"> 296</a></span>  <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordflow">return</span> _valid_region;</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  }</div><div class="line"><a name="l00300"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a43e45363267b6bce4bb6770febe9ce11"> 300</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a43e45363267b6bce4bb6770febe9ce11">set_valid_region</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>)<span class="keyword"> override</span></div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  _valid_region = <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>;</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  }</div><div class="line"><a name="l00304"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44"> 304</a></span>  <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keywordflow">return</span> _quantization_info;</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  }</div><div class="line"><a name="l00308"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_tensor_info.xhtml#a5f63b63606dbbbe54474e6e970a6738c"> 308</a></span>  <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a5f63b63606dbbbe54474e6e970a6738c">data_layout</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">return</span> _data_layout;</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  }</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> </div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  std::tuple<Strides, size_t, size_t> calculate_padding_requirements(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a> &padding);</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span> </div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keywordtype">size_t</span> _total_size;</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keywordtype">int</span> _fixed_point_position;</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordtype">size_t</span> _offset_first_element_in_bytes;</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> _strides_in_bytes;</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordtype">size_t</span> _num_channels;</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> _tensor_shape;</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> _data_type;</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> _format;</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordtype">bool</span> _is_resizable;</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> _valid_region;</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a> _padding;</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> _quantization_info;</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> _data_layout;</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> };</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> }</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> <span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_TENSORINFO_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a2732b9eab657cad69807adb815b97c9f"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a2732b9eab657cad69807adb815b97c9f">arm_compute::TensorInfo::set_fixed_point_position</a></div><div class="ttdeci">ITensorInfo & set_fixed_point_position(int fixed_point_position) override</div><div class="ttdoc">Set the fixed point position to the specified value. </div></div>
+<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_adffbf97e7b8b64e7cf32f0254cddf3c4"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#adffbf97e7b8b64e7cf32f0254cddf3c4">arm_compute::BorderSize::empty</a></div><div class="ttdeci">constexpr bool empty() const </div><div class="ttdoc">Check if the entire border is zero. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00318">Types.h:318</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00133">Convolution.cpp:133</a></div></div>
<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_tensor_info_xhtml_a4b7391b7025befbe44b743723feb4a9b"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a4b7391b7025befbe44b743723feb4a9b">arm_compute::TensorInfo::init_auto_padding</a></div><div class="ttdeci">size_t init_auto_padding(const TensorShape &tensor_shape, Format format)</div><div class="ttdoc">Initialize the metadata structure for the given tensor shape and single-plane format, (Padding is automatically calculated) </div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_aa2ca251f99c56767719e991a26371603"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#aa2ca251f99c56767719e991a26371603">arm_compute::TensorInfo::has_padding</a></div><div class="ttdeci">bool has_padding() const override</div><div class="ttdoc">Checks if the tensor has been allocated with padding or not. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00275">TensorInfo.h:275</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a35ccf2eb0c18a15feab2db98b307b78b"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">arm_compute::TensorInfo::fixed_point_position</a></div><div class="ttdeci">int fixed_point_position() const override</div><div class="ttdoc">Fixed point position used when the tensor data type is QS8 or QS16. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00239">TensorInfo.h:239</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a43e45363267b6bce4bb6770febe9ce11"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a43e45363267b6bce4bb6770febe9ce11">arm_compute::TensorInfo::set_valid_region</a></div><div class="ttdeci">void set_valid_region(const ValidRegion &valid_region) override</div><div class="ttdoc">Set the valid region of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00292">TensorInfo.h:292</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_aaee6555ace43b03173844b1a228a3fc3"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">arm_compute::TensorInfo::is_resizable</a></div><div class="ttdeci">bool is_resizable() const override</div><div class="ttdoc">Flag indicating whether the size of the tensor can be changed. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00279">TensorInfo.h:279</a></div></div>
-<div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00229">Types.h:229</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a3c20d908342087484d883574d55dd482"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">arm_compute::TensorInfo::valid_region</a></div><div class="ttdeci">ValidRegion valid_region() const override</div><div class="ttdoc">Valid region of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00288">TensorInfo.h:288</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a6f13b974eeb528acde66de8d9b3fd95c"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">arm_compute::TensorInfo::num_channels</a></div><div class="ttdeci">size_t num_channels() const override</div><div class="ttdoc">The number of channels for each tensor element. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00251">TensorInfo.h:251</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_aa2ca251f99c56767719e991a26371603"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#aa2ca251f99c56767719e991a26371603">arm_compute::TensorInfo::has_padding</a></div><div class="ttdeci">bool has_padding() const override</div><div class="ttdoc">Checks if the tensor has been allocated with padding or not. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00283">TensorInfo.h:283</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a35ccf2eb0c18a15feab2db98b307b78b"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">arm_compute::TensorInfo::fixed_point_position</a></div><div class="ttdeci">int fixed_point_position() const override</div><div class="ttdoc">Fixed point position used when the tensor data type is QS8 or QS16. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00247">TensorInfo.h:247</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a43e45363267b6bce4bb6770febe9ce11"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a43e45363267b6bce4bb6770febe9ce11">arm_compute::TensorInfo::set_valid_region</a></div><div class="ttdeci">void set_valid_region(const ValidRegion &valid_region) override</div><div class="ttdoc">Set the valid region of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00300">TensorInfo.h:300</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_aaee6555ace43b03173844b1a228a3fc3"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">arm_compute::TensorInfo::is_resizable</a></div><div class="ttdeci">bool is_resizable() const override</div><div class="ttdoc">Flag indicating whether the size of the tensor can be changed. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00287">TensorInfo.h:287</a></div></div>
+<div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00291">Types.h:291</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a3c20d908342087484d883574d55dd482"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">arm_compute::TensorInfo::valid_region</a></div><div class="ttdeci">ValidRegion valid_region() const override</div><div class="ttdoc">Valid region of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00296">TensorInfo.h:296</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a6f13b974eeb528acde66de8d9b3fd95c"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">arm_compute::TensorInfo::num_channels</a></div><div class="ttdeci">size_t num_channels() const override</div><div class="ttdoc">The number of channels for each tensor element. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00259">TensorInfo.h:259</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a5f63b63606dbbbe54474e6e970a6738c"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a5f63b63606dbbbe54474e6e970a6738c">arm_compute::TensorInfo::data_layout</a></div><div class="ttdeci">DataLayout data_layout() const override</div><div class="ttdoc">Get the data layout of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00308">TensorInfo.h:308</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02">arm_compute::DataLayoutDimension</a></div><div class="ttdeci">DataLayoutDimension</div><div class="ttdoc">Supported tensor data layout dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00118">Types.h:118</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a613528bd0feb15ee8d6df06cbdb629f8"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a613528bd0feb15ee8d6df06cbdb629f8">arm_compute::TensorInfo::set_data_type</a></div><div class="ttdeci">ITensorInfo & set_data_type(DataType data_type) override</div><div class="ttdoc">Set the data type to the specified value. </div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a8813441b655b97c00139c6a5a6390e97"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97">arm_compute::TensorInfo::dimension</a></div><div class="ttdeci">size_t dimension(size_t index) const override</div><div class="ttdoc">Return the size of the requested dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00226">TensorInfo.h:226</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a8813441b655b97c00139c6a5a6390e97"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97">arm_compute::TensorInfo::dimension</a></div><div class="ttdeci">size_t dimension(size_t index) const override</div><div class="ttdoc">Return the size of the requested dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00230">TensorInfo.h:230</a></div></div>
<div class="ttc" id="classarm__compute_1_1_h_o_g_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_h_o_g_info.xhtml">arm_compute::HOGInfo</a></div><div class="ttdoc">Store the HOG&#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_h_o_g_info_8h_source.xhtml#l00035">HOGInfo.h:35</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ac74736e3863207232a23b7181c1d0f44"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">arm_compute::TensorInfo::quantization_info</a></div><div class="ttdeci">QuantizationInfo quantization_info() const override</div><div class="ttdoc">Get the quantization settings (scale and offset) of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00296">TensorInfo.h:296</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ac74736e3863207232a23b7181c1d0f44"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">arm_compute::TensorInfo::quantization_info</a></div><div class="ttdeci">QuantizationInfo quantization_info() const override</div><div class="ttdoc">Get the quantization settings (scale and offset) of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00304">TensorInfo.h:304</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_af53d8203ecc37896ca4579d1ee3fdffc"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#af53d8203ecc37896ca4579d1ee3fdffc">arm_compute::TensorInfo::extend_padding</a></div><div class="ttdeci">bool extend_padding(const PaddingSize &padding) override</div><div class="ttdoc">Update the offset to the first element, the strides and the total size. </div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor&#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a79e20eacb1e963e24a21ebd7369effd7"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">arm_compute::TensorInfo::padding</a></div><div class="ttdeci">PaddingSize padding() const override</div><div class="ttdoc">Padding of tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00271">TensorInfo.h:271</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a5f1ca9d674346287cae57a6c5b5c24ec"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec">arm_compute::TensorInfo::strides_in_bytes</a></div><div class="ttdeci">const Strides & strides_in_bytes() const override</div><div class="ttdoc">The strides in bytes for accessing each dimension of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00230">TensorInfo.h:230</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a650247f9a828d1ef60135b01f8f77765"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a650247f9a828d1ef60135b01f8f77765">arm_compute::TensorInfo::dimension</a></div><div class="ttdeci">size_t dimension(DataLayoutDimension dimension) const override</div><div class="ttdoc">Return the size of the requested data layout dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00234">TensorInfo.h:234</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a79e20eacb1e963e24a21ebd7369effd7"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">arm_compute::TensorInfo::padding</a></div><div class="ttdeci">PaddingSize padding() const override</div><div class="ttdoc">Padding of tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00279">TensorInfo.h:279</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a5f1ca9d674346287cae57a6c5b5c24ec"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec">arm_compute::TensorInfo::strides_in_bytes</a></div><div class="ttdeci">const Strides & strides_in_bytes() const override</div><div class="ttdoc">The strides in bytes for accessing each dimension of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00238">TensorInfo.h:238</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_acda9036ad24c455f67f2fea388a0ae13"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#acda9036ad24c455f67f2fea388a0ae13">arm_compute::TensorInfo::set_quantization_info</a></div><div class="ttdeci">ITensorInfo & set_quantization_info(const QuantizationInfo &quantization_info) override</div><div class="ttdoc">Set the quantization settings (scale and offset) of the tensor. </div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a907f837b924945ad1981c8fe8eca61e4"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">arm_compute::TensorInfo::auto_padding</a></div><div class="ttdeci">bool auto_padding() override</div><div class="ttdoc">Update the offset to the first element and the strides to automatically computed values. </div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a096668313a9a819d54a2e65ec21ff0cc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info</a></div><div class="ttdeci">src info() -> set_format(Format::S16)</div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ac4b36cc1e56b0b7e579bb4b7196490db"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">arm_compute::TensorInfo::format</a></div><div class="ttdeci">Format format() const override</div><div class="ttdoc">Colour format of the image. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00263">TensorInfo.h:263</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a9a3e72153aeb3ed212e9c3698774e881"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">arm_compute::TensorInfo::data_type</a></div><div class="ttdeci">DataType data_type() const override</div><div class="ttdoc">Data type used for each element of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00259">TensorInfo.h:259</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ac4b36cc1e56b0b7e579bb4b7196490db"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">arm_compute::TensorInfo::format</a></div><div class="ttdeci">Format format() const override</div><div class="ttdoc">Colour format of the image. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00271">TensorInfo.h:271</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a9a3e72153aeb3ed212e9c3698774e881"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">arm_compute::TensorInfo::data_type</a></div><div class="ttdeci">DataType data_type() const override</div><div class="ttdoc">Data type used for each element of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00267">TensorInfo.h:267</a></div></div>
<div class="ttc" id="arm__compute_2core_2_utils_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_utils_8h.xhtml">Utils.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a147790358ccd40f61dcd618cd4edd688"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a147790358ccd40f61dcd618cd4edd688">arm_compute::TensorInfo::offset_element_in_bytes</a></div><div class="ttdeci">size_t offset_element_in_bytes(const Coordinates &pos) const override</div><div class="ttdoc">The offset in bytes from the beginning of the memory allocation to access the element at position (x...</div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a5b0a9fd674f8748506b6944c030bc47e"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a5b0a9fd674f8748506b6944c030bc47e">arm_compute::TensorInfo::set_num_channels</a></div><div class="ttdeci">ITensorInfo & set_num_channels(int num_channels) override</div><div class="ttdoc">Set the number of channels to the specified value. </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#l00247">TensorInfo.h:247</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#l00255">TensorInfo.h:255</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_af501bc12f51874e786b0f28016a99ff7"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#af501bc12f51874e786b0f28016a99ff7">arm_compute::TensorInfo::set_format</a></div><div class="ttdeci">ITensorInfo & set_format(Format format) override</div><div class="ttdoc">Set the format of an already initialized tensor. </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#l00050">Types.h:50</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_af398466b602a02b42d8df19fb66a6c60"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60">arm_compute::TensorInfo::total_size</a></div><div class="ttdeci">size_t total_size() const override</div><div class="ttdoc">Returns the total size of the tensor in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00267">TensorInfo.h:267</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_af398466b602a02b42d8df19fb66a6c60"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60">arm_compute::TensorInfo::total_size</a></div><div class="ttdeci">size_t total_size() const override</div><div class="ttdoc">Returns the total size of the tensor in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00275">TensorInfo.h:275</a></div></div>
<div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item. </div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div>
-<div class="ttc" id="namespacearm__compute_xhtml_abb7e0f23a4f2e63f39433f158dad47ab"><div class="ttname"><a href="namespacearm__compute.xhtml#abb7e0f23a4f2e63f39433f158dad47ab">arm_compute::data_size_from_type</a></div><div class="ttdeci">size_t data_size_from_type(DataType data_type)</div><div class="ttdoc">The size in bytes of the data type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00089">Utils.h:89</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_abb7e0f23a4f2e63f39433f158dad47ab"><div class="ttname"><a href="namespacearm__compute.xhtml#abb7e0f23a4f2e63f39433f158dad47ab">arm_compute::data_size_from_type</a></div><div class="ttdeci">size_t data_size_from_type(DataType data_type)</div><div class="ttdoc">The size in bytes of the data type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00107">Utils.h:107</a></div></div>
<div class="ttc" id="_i_tensor_info_8h_xhtml"><div class="ttname"><a href="_i_tensor_info_8h.xhtml">ITensorInfo.h</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a78bf77b2d9b959259f77a32b9a412184"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a78bf77b2d9b959259f77a32b9a412184">arm_compute::TensorInfo::set_is_resizable</a></div><div class="ttdeci">ITensorInfo & set_is_resizable(bool is_resizable) override</div><div class="ttdoc">Set the flag whether the tensor size can be changed. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00283">TensorInfo.h:283</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a78bf77b2d9b959259f77a32b9a412184"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a78bf77b2d9b959259f77a32b9a412184">arm_compute::TensorInfo::set_is_resizable</a></div><div class="ttdeci">ITensorInfo & set_is_resizable(bool is_resizable) override</div><div class="ttdoc">Set the flag whether the tensor size can be changed. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00291">TensorInfo.h:291</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ad6b64f33be1e66dcf7612483ffb8fd63"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">arm_compute::TensorInfo::init</a></div><div class="ttdeci">void init(Format format)</div><div class="ttdoc">Initialize the tensor info with just a format. </div></div>
<div class="ttc" id="classarm__compute_1_1_strides_xhtml"><div class="ttname"><a href="classarm__compute_1_1_strides.xhtml">arm_compute::Strides</a></div><div class="ttdoc">Strides of an item in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_strides_8h_source.xhtml#l00037">Strides.h:37</a></div></div>
<div class="ttc" id="_strides_8h_xhtml"><div class="ttname"><a href="_strides_8h.xhtml">Strides.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a0f59f175e7682c7ed5f4ea30ef687834"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">arm_compute::Dimensions::num_dimensions</a></div><div class="ttdeci">unsigned int num_dimensions() const </div><div class="ttdoc">Returns the effective dimensionality of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00122">Dimensions.h:122</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a7b6610e6100c67d39b712df6f4f80dcf"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a7b6610e6100c67d39b712df6f4f80dcf">arm_compute::TensorInfo::set_tensor_shape</a></div><div class="ttdeci">ITensorInfo & set_tensor_shape(const TensorShape &shape) override</div><div class="ttdoc">Set the shape of an already initialized tensor. </div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a4c066d42d665fafb8cfe80b99411e4fb"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a4c066d42d665fafb8cfe80b99411e4fb">arm_compute::TensorInfo::clone</a></div><div class="ttdeci">std::unique_ptr< ITensorInfo > clone() const override</div><div class="ttdoc">Provide a clone of the current object of class T. </div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ab54246abe670b06f5624add7e7022904"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904">arm_compute::TensorInfo::offset_first_element_in_bytes</a></div><div class="ttdeci">size_t offset_first_element_in_bytes() const override</div><div class="ttdoc">The offset from the beginning of the memory allocation to the first element of the tensor...</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00234">TensorInfo.h:234</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor&#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00044">TensorInfo.h:44</a></div></div>
-<div class="ttc" id="structarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization settings (used for QASYMM8 data type) </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00117">Types.h:117</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ab54246abe670b06f5624add7e7022904"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904">arm_compute::TensorInfo::offset_first_element_in_bytes</a></div><div class="ttdeci">size_t offset_first_element_in_bytes() const override</div><div class="ttdoc">The offset from the beginning of the memory allocation to the first element of the tensor...</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00242">TensorInfo.h:242</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor&#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div>
+<div class="ttc" id="arm__compute_2core_2_helpers_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_helpers_8h.xhtml">Helpers.h</a></div></div>
+<div class="ttc" id="structarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization settings (used for QASYMM8 data type) </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00127">Types.h:127</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a21c2ae9fa438faf42669dadda628080c"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">arm_compute::TensorInfo::TensorInfo</a></div><div class="ttdeci">TensorInfo()</div><div class="ttdoc">Default constructor. </div></div>
-<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a></div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00163">Types.h:163</a></div></div>
+<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a></div><div class="ttdoc">Container for valid region of a window. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00206">Types.h:206</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_a46e938020a3ac8c926d0590b7fe957db"><div class="ttname"><a href="namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db">arm_compute::get_data_layout_dimension_index</a></div><div class="ttdeci">size_t get_data_layout_dimension_index(const DataLayout data_layout, const DataLayoutDimension data_layout_dimension)</div><div class="ttdoc">Get the index of the given dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00340">Helpers.inl:340</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_adcf156ba30ff118c28690671e83ea06b"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#adcf156ba30ff118c28690671e83ea06b">arm_compute::TensorInfo::operator=</a></div><div class="ttdeci">TensorInfo & operator=(const TensorInfo &)=default</div><div class="ttdoc">Allow instances of this class to be copied. </div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a269b19ce3f357ac65f41f9951906e38e"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">arm_compute::TensorInfo::tensor_shape</a></div><div class="ttdeci">const TensorShape & tensor_shape() const override</div><div class="ttdoc">Size for each dimension of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00255">TensorInfo.h:255</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a16d275e5270f2c36a04764c863d852b6"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a16d275e5270f2c36a04764c863d852b6">arm_compute::TensorInfo::set_data_layout</a></div><div class="ttdeci">ITensorInfo & set_data_layout(const DataLayout &data_layout) override</div><div class="ttdoc">Set the data layout of the tensor. </div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a269b19ce3f357ac65f41f9951906e38e"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">arm_compute::TensorInfo::tensor_shape</a></div><div class="ttdeci">const TensorShape & tensor_shape() const override</div><div class="ttdoc">Size for each dimension of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00263">TensorInfo.h:263</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="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00072">Types.h:72</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a62b67b578f684c4d516843c9dea86a23"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a62b67b578f684c4d516843c9dea86a23">arm_compute::TensorInfo::element_size</a></div><div class="ttdeci">size_t element_size() const override</div><div class="ttdoc">Element size in bytes calculated as data_size() * num_channels() </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00243">TensorInfo.h:243</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdoc">Supported tensor data layouts. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00110">Types.h:110</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a62b67b578f684c4d516843c9dea86a23"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a62b67b578f684c4d516843c9dea86a23">arm_compute::TensorInfo::element_size</a></div><div class="ttdeci">size_t element_size() const override</div><div class="ttdoc">Element size in bytes calculated as data_size() * num_channels() </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00251">TensorInfo.h:251</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ad29c039b6f3c4534928ed99aa9f53027"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ad29c039b6f3c4534928ed99aa9f53027">arm_compute::TensorInfo::reset_padding</a></div><div class="ttdeci">ITensorInfo & reset_padding() override</div><div class="ttdoc">Resets the padding settings of the tensor. </div></div>
<div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a4eb5913c3ce5fe2bcbaafd8c9224d384"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a4eb5913c3ce5fe2bcbaafd8c9224d384">arm_compute::TensorInfo::~TensorInfo</a></div><div class="ttdeci">~TensorInfo()=default</div><div class="ttdoc">Default destructor. </div></div>
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<li class="navelem"><a class="el" href="dir_214608ef36d61442cb2b0c1c4e9a7def.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="dir_1fb090f0c6070330bfaccc4236d3ca0d.xhtml">core</a></li><li class="navelem"><a class="el" href="_tensor_info_8h.xhtml">TensorInfo.h</a></li>
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