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<div class="title">ITensorInfo.h</div> </div>
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<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>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2016-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_ITENSORINFO_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_ITENSORINFO_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_coordinates_8h.xhtml">arm_compute/core/Coordinates.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_strides_8h.xhtml">arm_compute/core/Strides.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_utils_8h.xhtml">arm_compute/core/Utils.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_cloneable_8h.xhtml">arm_compute/core/utils/misc/ICloneable.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_utility_8h.xhtml">arm_compute/core/utils/misc/Utility.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="preprocessor">#include &lt;cstddef&gt;</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="keyword">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>&#160;{</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>&#160;<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>&lt;ITensorInfo&gt;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;{</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <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>&#160; <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;<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>&#160; <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;<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>&#160; <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;<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>&#160; <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;<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> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>) = 0;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;<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="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &amp;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">quantization_info</a>) = 0;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;<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> &amp;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1">data_layout</a>) = 0;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#afc135290818a7ae02d2195c013796fdd">reset_padding</a>() = 0;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <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="l00118"></a><span class="lineno"> 118</span>&#160; <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> &amp;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">padding</a>) = 0;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <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>&#160; <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="l00137"></a><span class="lineno"> 137</span>&#160; <span class="keyword">virtual</span> <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;<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="l00143"></a><span class="lineno"> 143</span>&#160; <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="l00151"></a><span class="lineno"> 151</span>&#160; <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> &amp;pos) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <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="l00162"></a><span class="lineno"> 162</span>&#160; <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="l00167"></a><span class="lineno"> 167</span>&#160; <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="l00172"></a><span class="lineno"> 172</span>&#160; <span class="keyword">virtual</span> <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <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="l00182"></a><span class="lineno"> 182</span>&#160; <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="l00187"></a><span class="lineno"> 187</span>&#160; <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="l00192"></a><span class="lineno"> 192</span>&#160; <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="l00197"></a><span class="lineno"> 197</span>&#160; <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="l00202"></a><span class="lineno"> 202</span>&#160; <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="l00209"></a><span class="lineno"> 209</span>&#160; <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;<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="l00214"></a><span class="lineno"> 214</span>&#160; <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="l00219"></a><span class="lineno"> 219</span>&#160; <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> &amp;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>) = 0;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; <span class="keyword">virtual</span> <a class="code" href="classarm__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="l00230"></a><span class="lineno"> 230</span>&#160; <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="l00231"></a><span class="lineno"> 231</span>&#160;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; <span class="keyword">template</span> &lt;<span class="keyword">typename</span>... Infos&gt;</div><div class="line"><a name="l00247"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_i_tensor_info.xhtml#ae056a42fb510e2fa170a74ab06ee31da"> 247</a></span>&#160; <span class="keyword">static</span> std::pair&lt;TensorShape, ValidRegion&gt; <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ae056a42fb510e2fa170a74ab06ee31da">broadcast_shape_and_valid_region</a>(<span class="keyword">const</span> Infos &amp;... infos)</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; {</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; <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#a244a32cac2f5011bd0fc49700bf3d5de">TensorShape::broadcast_shape</a>(infos.tensor_shape()...);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; <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="l00251"></a><span class="lineno"> 251</span>&#160;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <span class="keyword">auto</span> broadcast_valid_region = [&amp;bc_valid_region](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>)</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; {</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>.num_dimensions() != 0)</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; {</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> d = 0; d &lt; bc_valid_region.shape.num_dimensions(); ++d)</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; {</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> is_broadcast = (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>.tensor_shape()[d] == 1);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160;</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> anchor_max = std::max(bc_valid_region.anchor[d], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>.valid_region().anchor[d]);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> valid_min = std::min(bc_valid_region.shape[d], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>.valid_region().shape[d]);</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; <span class="keywordflow">if</span>(!is_broadcast || (valid_min == 0))</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; {</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; bc_valid_region.anchor.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(d, anchor_max);</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; bc_valid_region.shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(d, valid_min);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; }</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; }</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; }</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; };</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; <a class="code" href="namespacearm__compute_1_1utility.xhtml#a067ebd28103d827b6ec17032e2344064">utility::for_each</a>(broadcast_valid_region, infos...);</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keywordflow">return</span> std::pair&lt;TensorShape, ValidRegion&gt;(bc_shape, bc_valid_region);</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; }</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160;};</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160;}</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160;<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 &amp; 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_absolute_difference_8cpp_source.xhtml#l00097">AbsoluteDifference.cpp:97</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#l00259">Types.h:259</a></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 &amp; set_tensor_shape(const TensorShape &amp;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">[DataLayout enum definition]</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00123">Types.h:123</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_tensor_shape_xhtml_a244a32cac2f5011bd0fc49700bf3d5de"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a244a32cac2f5011bd0fc49700bf3d5de">arm_compute::TensorShape::broadcast_shape</a></div><div class="ttdeci">static TensorShape broadcast_shape(const Shapes &amp;... 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#l00210">TensorShape.h:210</a></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 &amp;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'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_i_tensor_info_xhtml_afc135290818a7ae02d2195c013796fdd"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#afc135290818a7ae02d2195c013796fdd">arm_compute::ITensorInfo::reset_padding</a></div><div class="ttdeci">virtual ITensorInfo &amp; reset_padding()=0</div><div class="ttdoc">Resets the padding settings of the tensor.</div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_ae056a42fb510e2fa170a74ab06ee31da"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#ae056a42fb510e2fa170a74ab06ee31da">arm_compute::ITensorInfo::broadcast_shape_and_valid_region</a></div><div class="ttdeci">static std::pair&lt; TensorShape, ValidRegion &gt; broadcast_shape_and_valid_region(const Infos &amp;... infos)</div><div class="ttdoc">If infos are broadcast compatible tensor info's, return the broadcasted shape and the intersection of...</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00247">ITensorInfo.h:247</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a9586081a29fceb532ab270bd843abee6"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a9586081a29fceb532ab270bd843abee6">arm_compute::ITensorInfo::set_valid_region</a></div><div class="ttdeci">virtual void set_valid_region(const ValidRegion &amp;valid_region)=0</div><div class="ttdoc">Set the valid region of the tensor.</div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a74dfd07380a290c34fe7c8e065029b95"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">arm_compute::ITensorInfo::valid_region</a></div><div class="ttdeci">virtual ValidRegion valid_region() const =0</div><div class="ttdoc">Valid region of the tensor.</div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_af555338f11d1d28f258f259ac3da743b"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#af555338f11d1d28f258f259ac3da743b">arm_compute::ITensorInfo::is_resizable</a></div><div class="ttdeci">virtual bool is_resizable() const =0</div><div class="ttdoc">Flag indicating whether the size of the tensor can be changed.</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_quantization_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization information.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00066">QuantizationInfo.h:66</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a57360dd9ca408834c0ea1a8ef70a11f4"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a57360dd9ca408834c0ea1a8ef70a11f4">arm_compute::ITensorInfo::format</a></div><div class="ttdeci">virtual Format format() const =0</div><div class="ttdoc">Colour format of the image.</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 &amp; 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 &amp; set_data_layout(const DataLayout &amp;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#l00052">Types.h:52</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="classarm__compute_1_1_i_tensor_info_xhtml_aa459796b5489eca8a9160cb5dcf1a103"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#aa459796b5489eca8a9160cb5dcf1a103">arm_compute::ITensorInfo::element_size</a></div><div class="ttdeci">virtual size_t element_size() const =0</div><div class="ttdoc">Element size in bytes calculated as data_size() * num_channels()</div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a07b929c34ad1dc823d8315876aa403ce"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">arm_compute::ITensorInfo::padding</a></div><div class="ttdeci">virtual PaddingSize padding() const =0</div><div class="ttdoc">Padding of tensor.</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 &amp; set_quantization_info(const QuantizationInfo &amp;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 &amp; 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="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 &amp;&amp;)</div><div class="ttdoc">Base case of for_each.</div><div class="ttdef"><b>Definition:</b> <a href="_utility_8h_source.xhtml#l00093">Utility.h:93</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="classarm__compute_1_1_tensor_shape_xhtml_a9c54fb6cea3557692fe7c00c40bb40ad"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">arm_compute::TensorShape::set</a></div><div class="ttdeci">TensorShape &amp; set(size_t dimension, size_t value, bool apply_dim_correction=true)</div><div class="ttdoc">Accessor to set the value of one of the dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00078">TensorShape.h:78</a></div></div>
<div class="ttc" id="classarm__compute_1_1_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 &amp; 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="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#l00174">Types.h:174</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</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 &amp; 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#l00074">Types.h:74</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">[DataLayout enum definition]</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00114">Types.h:114</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 &amp;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_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 &amp; 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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