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| <div class="title">ITensorInfo.h</div> </div> |
| </div><!--header--> |
| <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, 2017 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"></span><span class="preprocessor">#define __ARM_COMPUTE_ITENSORINFO_H__</span></div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor"></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> </div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <cstddef></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="keyword">namespace </span>arm_compute</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_i_tensor_info.xhtml"> 38</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a></div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span> {</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</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="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a4b622a0346ec30baf0b9a387e00c9ace">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="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ae05139a48d9360e44f5ef2eef64b23ec">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="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a43bf980bc1ac27efa062386baa506380">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="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a40deec9ef7e7c892bef6b11b4d81c38e">set_tensor_shape</a>(<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="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#aec2c125ece3cc6593a0be7f1fef3d97f">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="l00087"></a><span class="lineno"> 87</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="l00096"></a><span class="lineno"> 96</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="l00103"></a><span class="lineno"> 103</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="l00108"></a><span class="lineno"> 108</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="l00114"></a><span class="lineno"> 114</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="l00122"></a><span class="lineno"> 122</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="l00127"></a><span class="lineno"> 127</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="l00132"></a><span class="lineno"> 132</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="l00137"></a><span class="lineno"> 137</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="l00142"></a><span class="lineno"> 142</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="l00147"></a><span class="lineno"> 147</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="l00152"></a><span class="lineno"> 152</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="l00157"></a><span class="lineno"> 157</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="l00162"></a><span class="lineno"> 162</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="l00167"></a><span class="lineno"> 167</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="l00172"></a><span class="lineno"> 172</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="l00177"></a><span class="lineno"> 177</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="l00182"></a><span class="lineno"> 182</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#afc2a8e64645655d3bb8f37003c27a7ea">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="l00187"></a><span class="lineno"> 187</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="l00192"></a><span class="lineno"> 192</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#acea00276098762fd0e83a3c25d9f88cb">set_valid_region</a>(<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="l00193"></a><span class="lineno"> 193</span> };</div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span> }</div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</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="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_min_max_location_8cpp_source.xhtml#l00089">MinMaxLocation.cpp:89</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#l00038">TensorShape.h:38</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#l00136">Types.h:136</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_acea00276098762fd0e83a3c25d9f88cb"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#acea00276098762fd0e83a3c25d9f88cb">arm_compute::ITensorInfo::set_valid_region</a></div><div class="ttdeci">virtual void set_valid_region(ValidRegion 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_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's metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00038">ITensorInfo.h:38</a></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_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="classarm__compute_1_1_i_tensor_info_xhtml_ae05139a48d9360e44f5ef2eef64b23ec"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#ae05139a48d9360e44f5ef2eef64b23ec">arm_compute::ITensorInfo::set_num_channels</a></div><div class="ttdeci">virtual void 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="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="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#l00042">Types.h:42</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_aec2c125ece3cc6593a0be7f1fef3d97f"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#aec2c125ece3cc6593a0be7f1fef3d97f">arm_compute::ITensorInfo::set_fixed_point_position</a></div><div class="ttdeci">virtual void 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_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_a40deec9ef7e7c892bef6b11b4d81c38e"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a40deec9ef7e7c892bef6b11b4d81c38e">arm_compute::ITensorInfo::set_tensor_shape</a></div><div class="ttdeci">virtual void set_tensor_shape(TensorShape shape)=0</div><div class="ttdoc">Set the shape of an already initialized tensor. </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_a4b622a0346ec30baf0b9a387e00c9ace"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a4b622a0346ec30baf0b9a387e00c9ace">arm_compute::ITensorInfo::set_data_type</a></div><div class="ttdeci">virtual void 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_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#l00038">Strides.h:38</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_afc2a8e64645655d3bb8f37003c27a7ea"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#afc2a8e64645655d3bb8f37003c27a7ea">arm_compute::ITensorInfo::set_is_resizable</a></div><div class="ttdeci">virtual void 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_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_i_tensor_info_xhtml_a43bf980bc1ac27efa062386baa506380"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a43bf980bc1ac27efa062386baa506380">arm_compute::ITensorInfo::set_format</a></div><div class="ttdeci">virtual void set_format(Format format)=0</div><div class="ttdoc">Set the format of an already initialized tensor. </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="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#l00093">Types.h:93</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#l00064">Types.h:64</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="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_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> |
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