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<div id="projectname">Compute Library
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<div class="title">ITensorInfo.h</div> </div>
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<div class="contents">
-<a href="_i_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_ITENSORINFO_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_ITENSORINFO_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="_coordinates_8h.xhtml">arm_compute/core/Coordinates.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</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="l00029"></a><span class="lineno"> 29</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="l00030"></a><span class="lineno"> 30</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="l00031"></a><span class="lineno"> 31</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="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_i_cloneable_8h.xhtml">arm_compute/core/utils/misc/ICloneable.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="
utility_8h.xhtml">arm_compute/core/utils/misc/utility.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include <cstddef></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="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div><div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_i_tensor_info.xhtml"> 40</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml">misc::ICloneable</a><ITensorInfo></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">public</span>:</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ad998b50febf68540277e121a9c670bfa">~ITensorInfo</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a9ebcdce876b4cd07736afa47d50154de">set_data_type</a>(<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>) = 0;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#aaf74be25e2392705f29352ffaa4b1f9d">set_num_channels</a>(<span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ad7829ae79223ab87f9da4c0bd7d229ba">num_channels</a>) = 0;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a17394f0f7aea22d9b2d4c6f33bfa69ca">set_format</a>(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a57360dd9ca408834c0ea1a8ef70a11f4">format</a>) = 0;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a12a4f1190952613e36b44846962e26bb">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>) = 0;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a8d9488caf817e12132f0ca2a4c30deba">set_fixed_point_position</a>(<span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ab21a362740e892b6e913bd8db03b0e67">fixed_point_position</a>) = 0;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a575d37eaf8a905c8ca3c0250757c2b81">set_quantization_info</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>) = 0;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#afc135290818a7ae02d2195c013796fdd">reset_padding</a>() = 0;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a4f2d0ac983637a0459daf43bcd65cc38">auto_padding</a>() = 0;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a0cd5aea514f03afb48ebe22581ea4c66">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_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">padding</a>) = 0;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keyword">virtual</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(<span class="keywordtype">size_t</span> index) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">virtual</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_i_tensor_info.xhtml#a6b14f175bf5281f57b561e2d4e4b1f1f">strides_in_bytes</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keyword">virtual</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ad0bd5cc32e7e4c0699eccba91e5de397">offset_first_element_in_bytes</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">virtual</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a8a5312c9a822d27a3b38dc238c1c7de3">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</span> = 0;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keyword">virtual</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ab21a362740e892b6e913bd8db03b0e67">fixed_point_position</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keyword">virtual</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#aa459796b5489eca8a9160cb5dcf1a103">element_size</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keyword">virtual</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">num_dimensions</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keyword">virtual</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ad7829ae79223ab87f9da4c0bd7d229ba">num_channels</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">virtual</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_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">virtual</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">virtual</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a57360dd9ca408834c0ea1a8ef70a11f4">format</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keyword">virtual</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">total_size</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keyword">virtual</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">padding</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ac394d6570ab3325810a3532d39091a52">has_padding</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#af555338f11d1d28f258f259ac3da743b">is_resizable</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a9273842d8e5dc1a3c7fab727176fd7fe">set_is_resizable</a>(<span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#af555338f11d1d28f258f259ac3da743b">is_resizable</a>) = 0;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keyword">virtual</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a9586081a29fceb532ab270bd843abee6">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_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>) = 0;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keyword">virtual</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keyword">template</span> <<span class="keyword">typename</span>... Infos></div><div class="line"><a name="l00241"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_i_tensor_info.xhtml#abb92caa923c8ff80bfdf1b408ef49185"> 241</a></span>  <span class="keyword">static</span> std::pair<TensorShape, ValidRegion> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#abb92caa923c8ff80bfdf1b408ef49185">broadcast_shape_and_valid_region</a>(<span class="keyword">const</span> Infos &... infos)</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  {</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> bc_shape = <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a58838fbdce5b5330d84e62329b45ff7d">TensorShape::broadcast_shape</a>(infos.tensor_shape()...);</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> bc_valid_region{ <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a>(), bc_shape };</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="keyword">auto</span> broadcast_valid_region = [&bc_valid_region](<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="l00247"></a><span class="lineno"> 247</span>  {</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>.num_dimensions() != 0)</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  {</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> d = 0; d < bc_valid_region.shape.num_dimensions(); ++d)</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  {</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_broadcast = (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>.tensor_shape()[d] == 1);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> anchor_max = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(bc_valid_region.anchor[d], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>.valid_region().anchor[d]);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> valid_min = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(bc_valid_region.shape[d], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>.valid_region().shape[d]);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">if</span>(!is_broadcast || (valid_min == 0))</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  {</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  bc_valid_region.anchor.set(d, anchor_max);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  bc_valid_region.shape.set(d, valid_min);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  }</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  }</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  }</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  };</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <a class="code" href="namespacearm__compute_1_1utility.xhtml#a067ebd28103d827b6ec17032e2344064">utility::for_each</a>(broadcast_valid_region, infos...);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> </div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordflow">return</span> std::pair<TensorShape, ValidRegion>(bc_shape, bc_valid_region);</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  }</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> };</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> }</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</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_i_tensor_info_xhtml_a1f4e725b8e1ea36b30e09dc08ae6961d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">arm_compute::ITensorInfo::num_dimensions</a></div><div class="ttdeci">virtual size_t num_dimensions() const =0</div><div class="ttdoc">The number of dimensions of the tensor (rank) </div></div>
+<a href="_i_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_ITENSORINFO_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_ITENSORINFO_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="_coordinates_8h.xhtml">arm_compute/core/Coordinates.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</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="l00029"></a><span class="lineno"> 29</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="l00030"></a><span class="lineno"> 30</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="l00031"></a><span class="lineno"> 31</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="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_i_cloneable_8h.xhtml">arm_compute/core/utils/misc/ICloneable.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="
_utility_8h.xhtml">arm_compute/core/utils/misc/Utility.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include <cstddef></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="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div><div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_i_tensor_info.xhtml"> 40</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml">misc::ICloneable</a><ITensorInfo></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">public</span>:</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ad998b50febf68540277e121a9c670bfa">~ITensorInfo</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a9ebcdce876b4cd07736afa47d50154de">set_data_type</a>(<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>) = 0;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#aaf74be25e2392705f29352ffaa4b1f9d">set_num_channels</a>(<span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ad7829ae79223ab87f9da4c0bd7d229ba">num_channels</a>) = 0;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a17394f0f7aea22d9b2d4c6f33bfa69ca">set_format</a>(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a57360dd9ca408834c0ea1a8ef70a11f4">format</a>) = 0;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a12a4f1190952613e36b44846962e26bb">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>) = 0;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a8d9488caf817e12132f0ca2a4c30deba">set_fixed_point_position</a>(<span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ab21a362740e892b6e913bd8db03b0e67">fixed_point_position</a>) = 0;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a575d37eaf8a905c8ca3c0250757c2b81">set_quantization_info</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>) = 0;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#abb9481fe056b9749f9b4c08db101cc15">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_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1">data_layout</a>) = 0;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#afc135290818a7ae02d2195c013796fdd">reset_padding</a>() = 0;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a4f2d0ac983637a0459daf43bcd65cc38">auto_padding</a>() = 0;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a0cd5aea514f03afb48ebe22581ea4c66">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_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">padding</a>) = 0;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">virtual</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(<span class="keywordtype">size_t</span> index) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">virtual</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(<a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02">DataLayoutDimension</a> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">virtual</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_i_tensor_info.xhtml#a6b14f175bf5281f57b561e2d4e4b1f1f">strides_in_bytes</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">virtual</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ad0bd5cc32e7e4c0699eccba91e5de397">offset_first_element_in_bytes</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">virtual</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a8a5312c9a822d27a3b38dc238c1c7de3">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</span> = 0;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">virtual</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ab21a362740e892b6e913bd8db03b0e67">fixed_point_position</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keyword">virtual</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#aa459796b5489eca8a9160cb5dcf1a103">element_size</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keyword">virtual</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">num_dimensions</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">virtual</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ad7829ae79223ab87f9da4c0bd7d229ba">num_channels</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">virtual</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_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keyword">virtual</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keyword">virtual</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a57360dd9ca408834c0ea1a8ef70a11f4">format</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keyword">virtual</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">total_size</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keyword">virtual</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">padding</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ac394d6570ab3325810a3532d39091a52">has_padding</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#af555338f11d1d28f258f259ac3da743b">is_resizable</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a9273842d8e5dc1a3c7fab727176fd7fe">set_is_resizable</a>(<span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#af555338f11d1d28f258f259ac3da743b">is_resizable</a>) = 0;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">virtual</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a9586081a29fceb532ab270bd843abee6">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_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>) = 0;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keyword">virtual</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keyword">virtual</span> <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1">data_layout</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keyword">template</span> <<span class="keyword">typename</span>... Infos></div><div class="line"><a name="l00260"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_i_tensor_info.xhtml#abb92caa923c8ff80bfdf1b408ef49185"> 260</a></span>  <span class="keyword">static</span> std::pair<TensorShape, ValidRegion> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#abb92caa923c8ff80bfdf1b408ef49185">broadcast_shape_and_valid_region</a>(<span class="keyword">const</span> Infos &... infos)</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  {</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> bc_shape = <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a58838fbdce5b5330d84e62329b45ff7d">TensorShape::broadcast_shape</a>(infos.tensor_shape()...);</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> bc_valid_region{ <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a>(), bc_shape };</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keyword">auto</span> broadcast_valid_region = [&bc_valid_region](<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="l00266"></a><span class="lineno"> 266</span>  {</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>.num_dimensions() != 0)</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  {</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> d = 0; d < bc_valid_region.shape.num_dimensions(); ++d)</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  {</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_broadcast = (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>.tensor_shape()[d] == 1);</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> </div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> anchor_max = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(bc_valid_region.anchor[d], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>.valid_region().anchor[d]);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> valid_min = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(bc_valid_region.shape[d], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>.valid_region().shape[d]);</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">if</span>(!is_broadcast || (valid_min == 0))</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  {</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  bc_valid_region.anchor.set(d, anchor_max);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  bc_valid_region.shape.set(d, valid_min);</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  }</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  }</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  }</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  };</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> </div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <a class="code" href="namespacearm__compute_1_1utility.xhtml#a067ebd28103d827b6ec17032e2344064">utility::for_each</a>(broadcast_valid_region, infos...);</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">return</span> std::pair<TensorShape, ValidRegion>(bc_shape, bc_valid_region);</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  }</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> };</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span> }</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</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_i_tensor_info_xhtml_a1f4e725b8e1ea36b30e09dc08ae6961d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">arm_compute::ITensorInfo::num_dimensions</a></div><div class="ttdeci">virtual size_t num_dimensions() const =0</div><div class="ttdoc">The number of dimensions of the tensor (rank) </div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_aaf74be25e2392705f29352ffaa4b1f9d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#aaf74be25e2392705f29352ffaa4b1f9d">arm_compute::ITensorInfo::set_num_channels</a></div><div class="ttdeci">virtual ITensorInfo & set_num_channels(int num_channels)=0</div><div class="ttdoc">Set the number of channels to the specified value. </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="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point< T > min(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00884">FixedPoint.h:884</a></div></div>
-<div class="ttc" id="utility_8h_xhtml"><div class="ttname"><a href="utility_8h.xhtml">utility.h</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point< T > min(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00897">FixedPoint.h:897</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_i_tensor_info_xhtml_a178f0d3d87f959e00a743328d95359d2"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">arm_compute::ITensorInfo::dimension</a></div><div class="ttdeci">virtual size_t dimension(size_t index) const =0</div><div class="ttdoc">Return the size of the requested dimension. </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="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_i_tensor_info_xhtml_a8d9488caf817e12132f0ca2a4c30deba"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a8d9488caf817e12132f0ca2a4c30deba">arm_compute::ITensorInfo::set_fixed_point_position</a></div><div class="ttdeci">virtual ITensorInfo & set_fixed_point_position(int fixed_point_position)=0</div><div class="ttdoc">Set the fixed point position to the specified value. </div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a12a4f1190952613e36b44846962e26bb"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a12a4f1190952613e36b44846962e26bb">arm_compute::ITensorInfo::set_tensor_shape</a></div><div class="ttdeci">virtual ITensorInfo & set_tensor_shape(const TensorShape &shape)=0</div><div class="ttdoc">Set the shape of an already initialized tensor. </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_i_tensor_info_xhtml_a7cfb31af63202568efef5214acfbf3ba"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">arm_compute::ITensorInfo::data_type</a></div><div class="ttdeci">virtual DataType data_type() const =0</div><div class="ttdoc">Data type used for each element of the tensor. </div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a8a5312c9a822d27a3b38dc238c1c7de3"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a8a5312c9a822d27a3b38dc238c1c7de3">arm_compute::ITensorInfo::offset_element_in_bytes</a></div><div class="ttdeci">virtual size_t offset_element_in_bytes(const Coordinates &pos) const =0</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_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="_i_cloneable_8h_xhtml"><div class="ttname"><a href="_i_cloneable_8h.xhtml">ICloneable.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a4f2d0ac983637a0459daf43bcd65cc38"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a4f2d0ac983637a0459daf43bcd65cc38">arm_compute::ITensorInfo::auto_padding</a></div><div class="ttdeci">virtual bool auto_padding()=0</div><div class="ttdoc">Update the offset to the first element and the strides to automatically computed values. </div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7c66505457d00ece3aa4b34cab80757d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">arm_compute::ITensorInfo::tensor_shape</a></div><div class="ttdeci">virtual const TensorShape & tensor_shape() const =0</div><div class="ttdoc">Size for each dimension of the tensor. </div></div>
+<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_abb9481fe056b9749f9b4c08db101cc15"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#abb9481fe056b9749f9b4c08db101cc15">arm_compute::ITensorInfo::set_data_layout</a></div><div class="ttdeci">virtual ITensorInfo & set_data_layout(const DataLayout &data_layout)=0</div><div class="ttdoc">Set the data layout of the 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_i_tensor_info_xhtml_ab21a362740e892b6e913bd8db03b0e67"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#ab21a362740e892b6e913bd8db03b0e67">arm_compute::ITensorInfo::fixed_point_position</a></div><div class="ttdeci">virtual int fixed_point_position() const =0</div><div class="ttdoc">Fixed point position used when the tensor data type is QS8 or QS16. </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="classarm__compute_1_1_i_tensor_info_xhtml_a575d37eaf8a905c8ca3c0250757c2b81"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a575d37eaf8a905c8ca3c0250757c2b81">arm_compute::ITensorInfo::set_quantization_info</a></div><div class="ttdeci">virtual ITensorInfo & set_quantization_info(const QuantizationInfo &quantization_info)=0</div><div class="ttdoc">Set the quantization settings (scale and offset) of the tensor. </div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a9ebcdce876b4cd07736afa47d50154de"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a9ebcdce876b4cd07736afa47d50154de">arm_compute::ITensorInfo::set_data_type</a></div><div class="ttdeci">virtual ITensorInfo & set_data_type(DataType data_type)=0</div><div class="ttdoc">Set the data type to the specified value. </div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a3f3e1a3200223e6a304a533b1016e749"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">arm_compute::ITensorInfo::quantization_info</a></div><div class="ttdeci">virtual QuantizationInfo quantization_info() const =0</div><div class="ttdoc">Get the quantization settings (scale and offset) of the tensor. </div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a58838fbdce5b5330d84e62329b45ff7d"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a58838fbdce5b5330d84e62329b45ff7d">arm_compute::TensorShape::broadcast_shape</a></div><div class="ttdeci">static TensorShape broadcast_shape(const Shapes &...shapes)</div><div class="ttdoc">If shapes are broadcast compatible, return the broadcasted shape. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00192">TensorShape.h:192</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1utility_xhtml_a067ebd28103d827b6ec17032e2344064"><div class="ttname"><a href="namespacearm__compute_1_1utility.xhtml#a067ebd28103d827b6ec17032e2344064">arm_compute::utility::for_each</a></div><div class="ttdeci">void for_each(F &&)</div><div class="ttdoc">Base case of for_each. </div><div class="ttdef"><b>Definition:</b> <a href="utility_8h_source.xhtml#l00091">utility.h:91</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a58838fbdce5b5330d84e62329b45ff7d"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a58838fbdce5b5330d84e62329b45ff7d">arm_compute::TensorShape::broadcast_shape</a></div><div class="ttdeci">static TensorShape broadcast_shape(const Shapes &...shapes)</div><div class="ttdoc">If shapes are broadcast compatible, return the broadcasted shape. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00196">TensorShape.h:196</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1utility_xhtml_a067ebd28103d827b6ec17032e2344064"><div class="ttname"><a href="namespacearm__compute_1_1utility.xhtml#a067ebd28103d827b6ec17032e2344064">arm_compute::utility::for_each</a></div><div class="ttdeci">void for_each(F &&)</div><div class="ttdoc">Base case of for_each. </div><div class="ttdef"><b>Definition:</b> <a href="_utility_8h_source.xhtml#l00091">Utility.h:91</a></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="classarm__compute_1_1_i_tensor_info_xhtml_ad0bd5cc32e7e4c0699eccba91e5de397"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#ad0bd5cc32e7e4c0699eccba91e5de397">arm_compute::ITensorInfo::offset_first_element_in_bytes</a></div><div class="ttdeci">virtual size_t offset_first_element_in_bytes() const =0</div><div class="ttdoc">The offset from the beginning of the memory allocation to the first element of the tensor...</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_i_tensor_info_xhtml_a18064e0011c3869d884653e9e7c47b66"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">arm_compute::ITensorInfo::total_size</a></div><div class="ttdeci">virtual size_t total_size() const =0</div><div class="ttdoc">Returns the total size of the tensor in bytes. </div></div>
<div class="ttc" id="_coordinates_8h_xhtml"><div class="ttname"><a href="_coordinates_8h.xhtml">Coordinates.h</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point< T > max(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00889">FixedPoint.h:889</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="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point< T > max(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00902">FixedPoint.h:902</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_i_tensor_info_xhtml_a6b14f175bf5281f57b561e2d4e4b1f1f"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a6b14f175bf5281f57b561e2d4e4b1f1f">arm_compute::ITensorInfo::strides_in_bytes</a></div><div class="ttdeci">virtual const Strides & strides_in_bytes() const =0</div><div class="ttdoc">The strides in bytes for accessing each dimension of the tensor. </div></div>
<div class="ttc" id="classarm__compute_1_1misc_1_1_i_cloneable_xhtml"><div class="ttname"><a href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml">arm_compute::misc::ICloneable</a></div><div class="ttdoc">Clonable Interface. </div><div class="ttdef"><b>Definition:</b> <a href="_i_cloneable_8h_source.xhtml#l00035">ICloneable.h:35</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="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="classarm__compute_1_1_i_tensor_info_xhtml_a17394f0f7aea22d9b2d4c6f33bfa69ca"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a17394f0f7aea22d9b2d4c6f33bfa69ca">arm_compute::ITensorInfo::set_format</a></div><div class="ttdeci">virtual ITensorInfo & set_format(Format format)=0</div><div class="ttdoc">Set the format of an already initialized tensor. </div></div>
+<div class="ttc" id="_utility_8h_xhtml"><div class="ttname"><a href="_utility_8h.xhtml">Utility.h</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_i_tensor_info_xhtml_ad998b50febf68540277e121a9c670bfa"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#ad998b50febf68540277e121a9c670bfa">arm_compute::ITensorInfo::~ITensorInfo</a></div><div class="ttdeci">virtual ~ITensorInfo()=default</div><div class="ttdoc">Default virtual destructor. </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_i_tensor_info_xhtml_a0cd5aea514f03afb48ebe22581ea4c66"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a0cd5aea514f03afb48ebe22581ea4c66">arm_compute::ITensorInfo::extend_padding</a></div><div class="ttdeci">virtual bool extend_padding(const PaddingSize &padding)=0</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_abb92caa923c8ff80bfdf1b408ef49185"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#abb92caa923c8ff80bfdf1b408ef49185">arm_compute::ITensorInfo::broadcast_shape_and_valid_region</a></div><div class="ttdeci">static std::pair< TensorShape, ValidRegion > broadcast_shape_and_valid_region(const Infos &...infos)</div><div class="ttdoc">If infos are broadcast compatible tensor info&#39;s, return the broadcasted shape and the intersection of...</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00241">ITensorInfo.h:241</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_abb92caa923c8ff80bfdf1b408ef49185"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#abb92caa923c8ff80bfdf1b408ef49185">arm_compute::ITensorInfo::broadcast_shape_and_valid_region</a></div><div class="ttdeci">static std::pair< TensorShape, ValidRegion > broadcast_shape_and_valid_region(const Infos &...infos)</div><div class="ttdoc">If infos are broadcast compatible tensor info&#39;s, return the broadcasted shape and the intersection of...</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00260">ITensorInfo.h:260</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_ad7829ae79223ab87f9da4c0bd7d229ba"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#ad7829ae79223ab87f9da4c0bd7d229ba">arm_compute::ITensorInfo::num_channels</a></div><div class="ttdeci">virtual size_t num_channels() const =0</div><div class="ttdoc">The number of channels for each tensor element. </div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_ac394d6570ab3325810a3532d39091a52"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#ac394d6570ab3325810a3532d39091a52">arm_compute::ITensorInfo::has_padding</a></div><div class="ttdeci">virtual bool has_padding() const =0</div><div class="ttdoc">Checks if the tensor has been allocated with padding or not. </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_i_tensor_info_xhtml_a9273842d8e5dc1a3c7fab727176fd7fe"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a9273842d8e5dc1a3c7fab727176fd7fe">arm_compute::ITensorInfo::set_is_resizable</a></div><div class="ttdeci">virtual ITensorInfo & set_is_resizable(bool is_resizable)=0</div><div class="ttdoc">Set the flag whether the tensor size can be changed. </div></div>
+<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a367b5090ab432bc7de2c32369e087ab1"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1">arm_compute::ITensorInfo::data_layout</a></div><div class="ttdeci">virtual DataLayout data_layout() const =0</div><div class="ttdoc">Get the data layout of the tensor. </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="_i_tensor_info_8h.xhtml">ITensorInfo.h</a></li>
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