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| <div class="title">YOLOV2ActivationLayerDataset.h</div> </div> |
| </div><!--header--> |
| <div class="contents"> |
| <a href="_y_o_l_o_v2_activation_layer_dataset_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) 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_TEST_YOLOV2_ACTIVATION_LAYER_DATASET</span></div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor"></span><span class="preprocessor">#define ARM_COMPUTE_TEST_YOLOV2_ACTIVATION_LAYER_DATASET</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="_datasets_8h.xhtml">tests/framework/datasets/Datasets.h</a>"</span></div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_type_printer_8h.xhtml">utils/TypePrinter.h</a>"</span></div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</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="l00032"></a><span class="lineno"> 32</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="l00033"></a><span class="lineno"> 33</span> </div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">namespace </span>arm_compute</div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span>test</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">namespace </span>datasets</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span> {</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_r_e_l_u_dataset.xhtml"> 40</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_r_e_l_u_dataset.xhtml">YOLOV2ActivationLayerRELUDataset</a> final : <span class="keyword">public</span></div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml">framework::dataset::CartesianProductDataset</a><framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>></div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_r_e_l_u_dataset.xhtml#a4dbb1be0a792e76d51a394621a8982e5"> 44</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_r_e_l_u_dataset.xhtml#a4dbb1be0a792e76d51a394621a8982e5">YOLOV2ActivationLayerRELUDataset</a>()</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml#a806854a05f02099749c505d17df3abb8">CartesianProductDataset</a></div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"Shape"</span>, { <span class="comment">// relu1</span></div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(416<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 416<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>),</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="comment">// relu2</span></div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(208<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 208<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>),</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="comment">// relu3, relu5</span></div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(104<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 104<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 128<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>),</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="comment">// relu4</span></div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(104<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 104<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>),</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="comment">// relu6, relu8</span></div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(52<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 52<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 256<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>),</div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// relu7</span></div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(52<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 52<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 128<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>),</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// relu9, relu11, relu13</span></div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(26<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 26<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 512<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>),</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">// relu10, relu12</span></div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(26<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 26<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 256<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>),</div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">// relu14, relu16, relu18, relu19, relu20, relu21</span></div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1024<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>),</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// relu15, relu17</span></div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 512<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>) }),</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_r_e_l_u_dataset.xhtml#a33fc01af30986cd9f4d196817075f8e0"> 67</a></span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"Info"</span>, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>))</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  }</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  {</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  }</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_r_e_l_u_dataset.xhtml#a4dbb1be0a792e76d51a394621a8982e5">YOLOV2ActivationLayerRELUDataset</a>(<a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_r_e_l_u_dataset.xhtml">YOLOV2ActivationLayerRELUDataset</a> &&) = <span class="keywordflow">default</span>;</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_r_e_l_u_dataset.xhtml#a9c6c6f7b56fa74cfe0ecf93f31f31c33">~YOLOV2ActivationLayerRELUDataset</a>() = <span class="keywordflow">default</span>;</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span> };</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div> |
| <div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_l_i_n_e_a_r_dataset.xhtml"> 75</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_l_i_n_e_a_r_dataset.xhtml">YOLOV2ActivationLayerLINEARDataset</a> final : <span class="keyword">public</span></div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml">framework::dataset::CartesianProductDataset</a><framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>></div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span> {</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_l_i_n_e_a_r_dataset.xhtml#a8f1408c0e4d651d787b38e9c654c6443"> 79</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_l_i_n_e_a_r_dataset.xhtml#a8f1408c0e4d651d787b38e9c654c6443">YOLOV2ActivationLayerLINEARDataset</a>()</div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml#a806854a05f02099749c505d17df3abb8">CartesianProductDataset</a></div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"Shape"</span>, { <span class="comment">// linear22</span></div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(15<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 15<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 425<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>) }),</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_l_i_n_e_a_r_dataset.xhtml#af926ad5470de1786fc6d8ec86af3fad1"> 84</a></span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"Info"</span>, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaaac544aacc3615aada24897a215f5046">ActivationLayerInfo::ActivationFunction::LINEAR</a>))</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  {</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_l_i_n_e_a_r_dataset.xhtml">YOLOV2ActivationLayerLINEARDataset</a>(<a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_l_i_n_e_a_r_dataset.xhtml">YOLOV2ActivationLayerLINEARDataset</a> &&) = <span class="keywordflow">default</span>;</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  ~<a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_l_i_n_e_a_r_dataset.xhtml">YOLOV2ActivationLayerLINEARDataset</a>() = <span class="keywordflow">default</span>;</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span> };</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div> |
| <div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_dataset.xhtml"> 92</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_dataset.xhtml">YOLOV2ActivationLayerDataset</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset.xhtml">framework::dataset::JoinDataset</a><YOLOV2ActivationLayerRELUDataset, YOLOV2ActivationLayerLINEARDataset></div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span> {</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_dataset.xhtml#a1f4a107abdef58a15c70e611bdc7bc01"> 95</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_dataset.xhtml#a1f4a107abdef58a15c70e611bdc7bc01">YOLOV2ActivationLayerDataset</a>()</div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  : JoinDataset</div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  {</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_r_e_l_u_dataset.xhtml#a4dbb1be0a792e76d51a394621a8982e5">YOLOV2ActivationLayerRELUDataset</a>(),</div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_l_i_n_e_a_r_dataset.xhtml">YOLOV2ActivationLayerLINEARDataset</a>()</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  }</div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {</div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  }</div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  YOLOV2ActivationLayerDataset(YOLOV2ActivationLayerDataset &&) = <span class="keywordflow">default</span>;</div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  ~YOLOV2ActivationLayerDataset() = <span class="keywordflow">default</span>;</div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span> };</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span> } <span class="comment">// namespace datasets</span></div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span> } <span class="comment">// namespace test</span></div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span> } <span class="comment">// namespace arm_compute</span></div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_TEST_YOLOV2_ACTIVATION_LAYER_DATASET */</span><span class="preprocessor"></span></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_r_e_l_u_dataset_xhtml_a9c6c6f7b56fa74cfe0ecf93f31f31c33"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_r_e_l_u_dataset.xhtml#a9c6c6f7b56fa74cfe0ecf93f31f31c33">arm_compute::test::datasets::YOLOV2ActivationLayerRELUDataset::~YOLOV2ActivationLayerRELUDataset</a></div><div class="ttdeci">~YOLOV2ActivationLayerRELUDataset()=default</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_1framework_1_1dataset_1_1_cartesian_product_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml">arm_compute::test::framework::dataset::CartesianProductDataset</a></div><div class="ttdoc">Implementation of a dataset representing all combinations of values of the input datasets. </div><div class="ttdef"><b>Definition:</b> <a href="_cartesian_product_dataset_8h_source.xhtml#l00047">CartesianProductDataset.h:47</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">arm_compute::ActivationLayerInfo::ActivationFunction::RELU</a></div><div class="ttdoc">Rectifier ( ) </div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_xhtml_a806854a05f02099749c505d17df3abb8"><div class="ttname"><a href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml#a806854a05f02099749c505d17df3abb8">arm_compute::test::framework::dataset::CartesianProductDataset< framework::dataset::InitializerListDataset< TensorShape >, framework::dataset::SingletonDataset< ActivationLayerInfo > >::CartesianProductDataset</a></div><div class="ttdeci">CartesianProductDataset(framework::dataset::InitializerListDataset< TensorShape > &&dataset1, framework::dataset::SingletonDataset< ActivationLayerInfo > &&dataset2)</div><div class="ttdoc">Construct dataset from the given datasets. </div><div class="ttdef"><b>Definition:</b> <a href="_cartesian_product_dataset_8h_source.xhtml#l00061">CartesianProductDataset.h:61</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_r_e_l_u_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_r_e_l_u_dataset.xhtml">arm_compute::test::datasets::YOLOV2ActivationLayerRELUDataset</a></div><div class="ttdef"><b>Definition:</b> <a href="_y_o_l_o_v2_activation_layer_dataset_8h_source.xhtml#l00040">YOLOV2ActivationLayerDataset.h:40</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_1_1dataset_xhtml_a352791fb808d42a82ad70df5efa3508b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">arm_compute::test::framework::dataset::make</a></div><div class="ttdeci">std::enable_if< is_container< T >::value, ContainerDataset< T > >::type make(std::string name, T &&values)</div><div class="ttdoc">Helper function to create a ContainerDataset. </div><div class="ttdef"><b>Definition:</b> <a href="_container_dataset_8h_source.xhtml#l00140">ContainerDataset.h:140</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00511">Types.h:511</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_dataset_xhtml_a1f4a107abdef58a15c70e611bdc7bc01"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_dataset.xhtml#a1f4a107abdef58a15c70e611bdc7bc01">arm_compute::test::datasets::YOLOV2ActivationLayerDataset::YOLOV2ActivationLayerDataset</a></div><div class="ttdeci">YOLOV2ActivationLayerDataset()</div><div class="ttdef"><b>Definition:</b> <a href="_y_o_l_o_v2_activation_layer_dataset_8h_source.xhtml#l00095">YOLOV2ActivationLayerDataset.h:95</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_dataset.xhtml">arm_compute::test::datasets::YOLOV2ActivationLayerDataset</a></div><div class="ttdef"><b>Definition:</b> <a href="_y_o_l_o_v2_activation_layer_dataset_8h_source.xhtml#l00092">YOLOV2ActivationLayerDataset.h:92</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::Channel::U</a></div><div class="ttdoc">Cb/U channel. </div></div> |
| <div class="ttc" id="_datasets_8h_xhtml"><div class="ttname"><a href="_datasets_8h.xhtml">Datasets.h</a></div></div> |
| <div class="ttc" id="_type_printer_8h_xhtml"><div class="ttname"><a href="_type_printer_8h.xhtml">TypePrinter.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_l_i_n_e_a_r_dataset_xhtml_a8f1408c0e4d651d787b38e9c654c6443"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_l_i_n_e_a_r_dataset.xhtml#a8f1408c0e4d651d787b38e9c654c6443">arm_compute::test::datasets::YOLOV2ActivationLayerLINEARDataset::YOLOV2ActivationLayerLINEARDataset</a></div><div class="ttdeci">YOLOV2ActivationLayerLINEARDataset()</div><div class="ttdef"><b>Definition:</b> <a href="_y_o_l_o_v2_activation_layer_dataset_8h_source.xhtml#l00079">YOLOV2ActivationLayerDataset.h:79</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_l_i_n_e_a_r_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_l_i_n_e_a_r_dataset.xhtml">arm_compute::test::datasets::YOLOV2ActivationLayerLINEARDataset</a></div><div class="ttdef"><b>Definition:</b> <a href="_y_o_l_o_v2_activation_layer_dataset_8h_source.xhtml#l00075">YOLOV2ActivationLayerDataset.h:75</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset.xhtml">arm_compute::test::framework::dataset::JoinDataset</a></div><div class="ttdoc">Implementation of a dataset representing the concatenation of the input datasets. ...</div><div class="ttdef"><b>Definition:</b> <a href="_join_dataset_8h_source.xhtml#l00047">JoinDataset.h:47</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_r_e_l_u_dataset_xhtml_a4dbb1be0a792e76d51a394621a8982e5"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_r_e_l_u_dataset.xhtml#a4dbb1be0a792e76d51a394621a8982e5">arm_compute::test::datasets::YOLOV2ActivationLayerRELUDataset::YOLOV2ActivationLayerRELUDataset</a></div><div class="ttdeci">YOLOV2ActivationLayerRELUDataset()</div><div class="ttdef"><b>Definition:</b> <a href="_y_o_l_o_v2_activation_layer_dataset_8h_source.xhtml#l00044">YOLOV2ActivationLayerDataset.h:44</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaaaac544aacc3615aada24897a215f5046"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaaac544aacc3615aada24897a215f5046">arm_compute::ActivationLayerInfo::ActivationFunction::LINEAR</a></div><div class="ttdoc">Linear ( ) </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="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div> |
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