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| <div class="title">RawTensor.cpp</div> </div> |
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| <div class="contents"> |
| <a href="_raw_tensor_8cpp.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) 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">#include "<a class="code" href="_raw_tensor_8h.xhtml">RawTensor.h</a>"</span></div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="keyword">namespace </span>arm_compute</div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span> {</div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="keyword">namespace </span>test</div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span> {</div> |
| <div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#ad5f076c202d054557fde207a7e3b3b41"> 30</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#ad5f076c202d054557fde207a7e3b3b41">RawTensor::RawTensor</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>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format, <span class="keywordtype">int</span> fixed_point_position)</div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  : <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor</a>(shape, format, fixed_point_position)</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>  _buffer = support::cpp14::make_unique<uint8_t[]>(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">SimpleTensor::num_elements</a>() * <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">SimpleTensor::num_channels</a>() * <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a62b67b578f684c4d516843c9dea86a23">SimpleTensor::element_size</a>());</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> </div> |
| <div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#af878b348cac7129792bd35d9a016b2d4"> 36</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#ad5f076c202d054557fde207a7e3b3b41">RawTensor::RawTensor</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>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, <span class="keywordtype">int</span> num_channels, <span class="keywordtype">int</span> fixed_point_position)</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  : <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor</a>(shape, data_type, num_channels, fixed_point_position)</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  _buffer = support::cpp14::make_unique<uint8_t[]>(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">SimpleTensor::num_elements</a>() * <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">SimpleTensor::num_channels</a>() * <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a62b67b578f684c4d516843c9dea86a23">SimpleTensor::element_size</a>());</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span> }</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div> |
| <div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#ac1b3afa1c0a4618768b43a7a0d930cd6"> 42</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#ad5f076c202d054557fde207a7e3b3b41">RawTensor::RawTensor</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &tensor)</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  : <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor</a>(tensor.<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>(), tensor.<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>(), tensor.num_channels(), tensor.fixed_point_position())</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  _format = tensor.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>();</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  _buffer = support::cpp14::make_unique<uint8_t[]>(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">num_elements</a>() * <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">num_channels</a>() * <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a62b67b578f684c4d516843c9dea86a23">element_size</a>());</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  std::copy_n(tensor.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>(), <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">num_elements</a>() * <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">num_channels</a>() * <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a62b67b578f684c4d516843c9dea86a23">element_size</a>(), _buffer.get());</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span> }</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div> |
| <div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#abf951228abf3337929f26f7c0feedcac"> 50</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#abf951228abf3337929f26f7c0feedcac">RawTensor::operator=</a>(<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> tensor)</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a51920d34b0fa5415e84891ad8e755224">swap</a>(*<span class="keyword">this</span>, tensor);</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span> }</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div> |
| <div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f"> 57</a></span> <span class="keyword">const</span> <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">RawTensor::operator()</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &coord)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">return</span> _buffer.get() + <a class="code" href="namespacearm__compute_1_1test.xhtml#a9be4cb7e6ee20063a4a10bc3abb750b9">coord2index</a>(_shape, coord) * <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a62b67b578f684c4d516843c9dea86a23">element_size</a>();</div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span> }</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div> |
| <div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a2df95f7046b81e69a1265a42202ea068"> 62</a></span> <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">RawTensor::operator()</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &coord)</div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span> {</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">return</span> _buffer.get() + <a class="code" href="namespacearm__compute_1_1test.xhtml#a9be4cb7e6ee20063a4a10bc3abb750b9">coord2index</a>(_shape, coord) * <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a62b67b578f684c4d516843c9dea86a23">element_size</a>();</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span> }</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span> } <span class="comment">// namespace test</span></div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span> } <span class="comment">// namespace arm_compute</span></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a51920d34b0fa5415e84891ad8e755224"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a51920d34b0fa5415e84891ad8e755224">arm_compute::test::SimpleTensor< uint8_t >::swap</a></div><div class="ttdeci">friend void swap(SimpleTensor< U > &tensor1, SimpleTensor< U > &tensor2)</div><div class="ttdoc">Swaps the content of the provided tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00335">SimpleTensor.h:335</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00089">MinMaxLocation.cpp:89</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a62b67b578f684c4d516843c9dea86a23"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a62b67b578f684c4d516843c9dea86a23">arm_compute::test::SimpleTensor::element_size</a></div><div class="ttdeci">size_t element_size() const override</div><div class="ttdoc">Size of each element in the tensor in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00240">SimpleTensor.h:240</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">arm_compute::test::RawTensor</a></div><div class="ttdoc">Subclass of SimpleTensor using uint8_t as value type. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8h_source.xhtml#l00038">RawTensor.h:38</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_1test_1_1_raw_tensor_xhtml_abf951228abf3337929f26f7c0feedcac"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#abf951228abf3337929f26f7c0feedcac">arm_compute::test::RawTensor::operator=</a></div><div class="ttdeci">RawTensor & operator=(RawTensor tensor)</div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8cpp_source.xhtml#l00050">RawTensor.cpp:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_ac4b36cc1e56b0b7e579bb4b7196490db"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">arm_compute::test::SimpleTensor::format</a></div><div class="ttdeci">Format format() const override</div><div class="ttdoc">Image format of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00259">SimpleTensor.h:259</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml_a39537b09ccc3ce3d17922f4ef49a123f"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">arm_compute::test::RawTensor::operator()</a></div><div class="ttdeci">const void * operator()(const Coordinates &coord) const override</div><div class="ttdoc">Read only access to the specified element. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8cpp_source.xhtml#l00057">RawTensor.cpp:57</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a9be4cb7e6ee20063a4a10bc3abb750b9"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a9be4cb7e6ee20063a4a10bc3abb750b9">arm_compute::test::coord2index</a></div><div class="ttdeci">int coord2index(const TensorShape &shape, const Coordinates &coord)</div><div class="ttdoc">Linearise the given coordinate. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00337">Utils.h:337</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00090">MinMaxLocation.cpp:90</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a0c52a8f0085b55d907af7210ef2069d0"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">arm_compute::test::SimpleTensor::data</a></div><div class="ttdeci">const T * data() const </div><div class="ttdoc">Constant pointer to the underlying buffer. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00311">SimpleTensor.h:311</a></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_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_1test_1_1_simple_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor</a></div><div class="ttdoc">Simple tensor object that stores elements in a consecutive chunk of memory. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00059">SimpleTensor.h:59</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_abdd3637f2bbde9d7d0cc0b7bbd8400bb"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">arm_compute::test::SimpleTensor::num_channels</a></div><div class="ttdeci">int num_channels() const override</div><div class="ttdoc">Number of channels of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00278">SimpleTensor.h:278</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_aedcfdd4c3b92fe0d63b5463c7ad1d21e"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">arm_compute::test::SimpleTensor::num_elements</a></div><div class="ttdeci">int num_elements() const override</div><div class="ttdoc">Number of elements of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00299">SimpleTensor.h:299</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml_ad5f076c202d054557fde207a7e3b3b41"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#ad5f076c202d054557fde207a7e3b3b41">arm_compute::test::RawTensor::RawTensor</a></div><div class="ttdeci">RawTensor(TensorShape shape, Format format, int fixed_point_position=0)</div><div class="ttdoc">Create an uninitialised tensor of the given shape and format. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8cpp_source.xhtml#l00030">RawTensor.cpp:30</a></div></div> |
| <div class="ttc" id="_raw_tensor_8h_xhtml"><div class="ttname"><a href="_raw_tensor_8h.xhtml">RawTensor.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> |
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