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<div class="title">GenerateProposalsLayer.cpp</div> </div>
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<a href="_c_l_2_generate_proposals_layer_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>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2019-2020 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">#include &quot;<a class="code" href="_c_l_scheduler_8h.xhtml">arm_compute/runtime/CL/CLScheduler.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_compute_all_anchors_8h.xhtml">arm_compute/runtime/CL/functions/CLComputeAllAnchors.h</a>&quot;</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_generate_proposals_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLGenerateProposalsLayer.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_permute_8h.xhtml">arm_compute/runtime/CL/functions/CLPermute.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="_c_l_slice_8h.xhtml">arm_compute/runtime/CL/functions/CLSlice.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="_c_l_accessor_8h.xhtml">tests/CL/CLAccessor.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="_c_l_array_accessor_8h.xhtml">tests/CL/CLArrayAccessor.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="_globals_8h.xhtml">tests/Globals.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="tests_2framework_2_macros_8h.xhtml">tests/framework/Macros.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="_datasets_8h.xhtml">tests/framework/datasets/Datasets.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_validation_8h.xhtml">tests/validation/Validation.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="preprocessor">#include &quot;tests/validation/fixtures/ComputeAllAnchorsFixture.h&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="utils_2_type_printer_8h.xhtml">utils/TypePrinter.h</a>&quot;</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;{</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="keyword">namespace </span>test</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">namespace </span>validation</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;{</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;{</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> U, <span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6a5eef7d8485a2b8c04bf9b4638a90e9">fill_tensor</a>(U &amp;&amp;tensor, <span class="keyword">const</span> std::vector&lt;T&gt; &amp;v)</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;{</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; std::memcpy(tensor.data(), v.data(), <span class="keyword">sizeof</span>(T) * v.size());</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;}</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6a5eef7d8485a2b8c04bf9b4638a90e9">fill_tensor</a>(CLAccessor &amp;&amp;tensor, <span class="keyword">const</span> std::vector&lt;T&gt; &amp;v)</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;{</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keywordflow">if</span>(tensor.data_layout() == <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; std::memcpy(tensor.data(), v.data(), <span class="keyword">sizeof</span>(T) * v.size());</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; }</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> channels = tensor.shape()[0];</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> width = tensor.shape()[1];</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> height = tensor.shape()[2];</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = 0; x &lt; width; ++x)</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = 0; y &lt; height; ++y)</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> c = 0; c &lt; channels; ++c)</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; *(reinterpret_cast&lt;T *&gt;(tensor(Coordinates(c, x, y)))) = *(reinterpret_cast&lt;const T *&gt;(v.data() + x + y * width + c * height * width));</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; }</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; }</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; }</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;}</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> ComputeAllInfoDataset = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ComputeAllInfo&quot;</span>,</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;{</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; ComputeAnchorsInfo(10U, 10U, 1. / 16.f),</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; ComputeAnchorsInfo(100U, 1U, 1. / 2.f),</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; ComputeAnchorsInfo(100U, 1U, 1. / 4.f),</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; ComputeAnchorsInfo(100U, 100U, 1. / 4.f),</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;});</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;constexpr AbsoluteTolerance&lt;int16_t&gt; tolerance_qsymm16(1);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;} <span class="comment">// namespace</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(CL)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(GenerateProposals)</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;<span class="comment">// *INDENT-OFF*</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;<span class="comment">// clang-format off</span></div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3bb599d35c61a90a1923890e1ec71bdb"> 94</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">DATA_TEST_CASE</a>(Validate, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;scores&quot;, { <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(100<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 100<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 9<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(100<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 100<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 9<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>), <span class="comment">// Mismatching types</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(100<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 100<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 9<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>), <span class="comment">// Wrong deltas (number of transformation non multiple of 4)</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(100<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 100<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 9<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>), <span class="comment">// Wrong anchors (number of values per roi != 5)</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(100<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 100<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 9<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>), <span class="comment">// Output tensor num_valid_proposals not scalar</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(100<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 100<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 9<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>)}), <span class="comment">// num_valid_proposals not U32</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;deltas&quot;</span>,{ <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(100U, 100U, 36U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(100U, 100U, 36U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(100U, 100U, 38U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(100U, 100U, 38U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(100U, 100U, 38U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(100U, 100U, 38U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)})),</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;anchors&quot;</span>, { <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(4U, 9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(4U, 9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(4U, 9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(5U, 9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(4U, 9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(4U, 9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)})),</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;proposals&quot;</span>, { TensorInfo(TensorShape(5U, 100U*100U*9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; TensorInfo(TensorShape(5U, 100U*100U*9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; TensorInfo(TensorShape(5U, 100U*100U*9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; TensorInfo(TensorShape(5U, 100U*100U*9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; TensorInfo(TensorShape(5U, 100U*100U*9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; TensorInfo(TensorShape(5U, 100U*100U*9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)})),</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;scores_out&quot;</span>, { TensorInfo(TensorShape(100U*100U*9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; TensorInfo(TensorShape(100U*100U*9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; TensorInfo(TensorShape(100U*100U*9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; TensorInfo(TensorShape(100U*100U*9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; TensorInfo(TensorShape(100U*100U*9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; TensorInfo(TensorShape(100U*100U*9U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)})),</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;num_valid_proposals&quot;</span>, { TensorInfo(TensorShape(1U, 1U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>),</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; TensorInfo(TensorShape(1U, 1U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>),</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; TensorInfo(TensorShape(1U, 1U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>),</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; TensorInfo(TensorShape(1U, 1U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>),</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; TensorInfo(TensorShape(1U, 10U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>),</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; TensorInfo(TensorShape(1U, 1U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>)})),</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;generate_proposals_info&quot;</span>, { GenerateProposalsInfo(10.f, 10.f, 1.f),</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; GenerateProposalsInfo(10.f, 10.f, 1.f),</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; GenerateProposalsInfo(10.f, 10.f, 1.f),</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; GenerateProposalsInfo(10.f, 10.f, 1.f),</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; GenerateProposalsInfo(10.f, 10.f, 1.f),</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; GenerateProposalsInfo(10.f, 10.f, 1.f)})),</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Expected&quot;</span>, { <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span> })),</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; scores, deltas, anchors, proposals, scores_out, num_valid_proposals, generate_proposals_info, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>)</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;{</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(<span class="keywordtype">bool</span>(<a class="code" href="classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a0dd15c751cbdd5768cb781ef766e50dd">CLGenerateProposalsLayer::validate</a>(&amp;scores.clone()-&gt;set_is_resizable(<span class="keyword">true</span>),</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; &amp;deltas.clone()-&gt;set_is_resizable(<span class="keyword">true</span>),</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; &amp;anchors.clone()-&gt;set_is_resizable(<span class="keyword">true</span>),</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; &amp;proposals.clone()-&gt;set_is_resizable(<span class="keyword">true</span>),</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; &amp;scores_out.clone()-&gt;set_is_resizable(<span class="keyword">true</span>),</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; &amp;num_valid_proposals.clone()-&gt;set_is_resizable(<span class="keyword">true</span>),</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; generate_proposals_info)) == <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;}</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160;<span class="comment">// clang-format on</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;<span class="comment">// *INDENT-ON*</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00152"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4241c6ea2277c5206b732934f400681f"> 152</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4241c6ea2277c5206b732934f400681f">CLComputeAllAnchorsFixture</a> = ComputeAllAnchorsFixture&lt;CLTensor, CLAccessor, CLComputeAllAnchors, T&gt;;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Float)</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(FP32)</div><div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a50aded66249956a556f69c7d7cb09a64"> 156</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">DATA_TEST_CASE</a>(IntegrationTestCaseAllAnchors, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> }),</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>)</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;{</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> values_per_roi = 4;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> num_anchors = 3;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> feature_height = 4;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> feature_width = 3;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> anchors_expected(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(values_per_roi, feature_width * feature_height * num_anchors), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6a5eef7d8485a2b8c04bf9b4638a90e9">fill_tensor</a>(anchors_expected, std::vector&lt;float&gt; { -26, -19, 87, 86,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; -81, -27, 58, 63,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; -44, -15, 55, 36,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; -10, -19, 103, 86,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; -65, -27, 74, 63,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; -28, -15, 71, 36,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; 6, -19, 119, 86,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; -49, -27, 90, 63,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; -12, -15, 87, 36,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; -26, -3, 87, 102,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; -81, -11, 58, 79,</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; -44, 1, 55, 52,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; -10, -3, 103, 102,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; -65, -11, 74, 79,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; -28, 1, 71, 52,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; 6, -3, 119, 102,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; -49, -11, 90, 79,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; -12, 1, 87, 52,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; -26, 13, 87, 118,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; -81, 5, 58, 95,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; -44, 17, 55, 68,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; -10, 13, 103, 118,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; -65, 5, 74, 95,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; -28, 17, 71, 68,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; 6, 13, 119, 118,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; -49, 5, 90, 95,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; -12, 17, 87, 68,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; -26, 29, 87, 134,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; -81, 21, 58, 111,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; -44, 33, 55, 84,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; -10, 29, 103, 134,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; -65, 21, 74, 111,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; -28, 33, 71, 84,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; 6, 29, 119, 134,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; -49, 21, 90, 111,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; -12, 33, 87, 84</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; });</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> all_anchors;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> anchors = create_tensor&lt;CLTensor&gt;(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(4, num_anchors), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160;</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_compute_all_anchors.xhtml">CLComputeAllAnchors</a> compute_anchors;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; compute_anchors.<a class="code" href="classarm__compute_1_1_c_l_compute_all_anchors.xhtml#a4475c404f4bc3140b493a987d1fa0fc6">configure</a>(&amp;anchors, &amp;all_anchors, <a class="code" href="classarm__compute_1_1_compute_anchors_info.xhtml">ComputeAnchorsInfo</a>(feature_width, feature_height, 1. / 16.0));</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; anchors.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a4083de30daebd6bdee6b35d9c8262108">allocator</a>()-&gt;<a class="code" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">allocate</a>();</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; all_anchors.allocator()-&gt;allocate();</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6a5eef7d8485a2b8c04bf9b4638a90e9">fill_tensor</a>(CLAccessor(anchors), std::vector&lt;float&gt; { -26, -19, 87, 86,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; -81, -27, 58, 63,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; -44, -15, 55, 36</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; });</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="comment">// Compute function</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; compute_anchors.<a class="code" href="classarm__compute_1_1_i_c_l_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362">run</a>();</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(all_anchors), anchors_expected);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160;}</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;</div><div class="line"><a name="l00221"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa806b8b3e966200908042a36f14954f1"> 221</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">DATA_TEST_CASE</a>(IntegrationTestCaseGenerateProposals, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> }),</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a>)</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160;{</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; <span 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5.055894435664012e-04f, 1.270304909820112e-03f, 2.492271113912067e-03f, 5.951663827809190e-03f,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; 7.846917156877404e-03f, 6.776275276294789e-03f, 6.761571012891965e-03f, 4.898292096237725e-03f,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; 6.044472332578605e-04f, 3.203334118759474e-03f, 2.947527908919908e-03f, 6.313238560015770e-03f,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; 7.931767757095738e-03f, 8.764345805102866e-03f, 7.325012199914913e-03f, 4.317069470446271e-03f,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; 2.372537409795522e-03f, 1.589227460352735e-03f, 7.419477503600818e-03f, 3.157690354133824e-05f,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; 1.125915135986472e-03f, 9.865363483872330e-03f, 2.429454743386769e-03f, 2.724460564167563e-03f,</div><div 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name="l00316"></a><span class="lineno"> 316</span>&#160; });</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160;</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; TensorShape scores_shape = TensorShape(feature_width, feature_height, num_anchors);</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; TensorShape deltas_shape = TensorShape(feature_width, feature_height, values_per_roi * num_anchors);</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a> == <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>)</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; {</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">permute</a>(scores_shape, <a class="code" href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">PermutationVector</a>(2U, 0U, 1U));</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">permute</a>(deltas_shape, <a class="code" href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">PermutationVector</a>(2U, 0U, 1U));</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; }</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160;</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; <span class="comment">// Inputs</span></div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; CLTensor scores = create_tensor&lt;CLTensor&gt;(scores_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>, 1, QuantizationInfo(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a>);</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; CLTensor bbox_deltas = create_tensor&lt;CLTensor&gt;(deltas_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>, 1, QuantizationInfo(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a>);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; CLTensor anchors = create_tensor&lt;CLTensor&gt;(TensorShape(values_per_roi, num_anchors), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>);</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160;</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; <span class="comment">// Outputs</span></div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; CLTensor proposals;</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; CLTensor num_valid_proposals;</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; CLTensor scores_out;</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; num_valid_proposals.allocator()-&gt;init(TensorInfo(TensorShape(1), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>));</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160;</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; CLGenerateProposalsLayer generate_proposals;</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; generate_proposals.configure(&amp;scores, &amp;bbox_deltas, &amp;anchors, &amp;proposals, &amp;scores_out, &amp;num_valid_proposals,</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; GenerateProposalsInfo(120, 100, 0.166667f, 1 / 16.0, 6000, 300, 0.7f, 16.0f));</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160;</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <span class="comment">// Allocate memory for input/output tensors</span></div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; scores.allocator()-&gt;allocate();</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; bbox_deltas.allocator()-&gt;allocate();</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; anchors.allocator()-&gt;allocate();</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; proposals.allocator()-&gt;allocate();</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; num_valid_proposals.allocator()-&gt;allocate();</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; scores_out.allocator()-&gt;allocate();</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; <span class="comment">// Fill inputs</span></div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6a5eef7d8485a2b8c04bf9b4638a90e9">fill_tensor</a>(CLAccessor(scores), scores_vector);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6a5eef7d8485a2b8c04bf9b4638a90e9">fill_tensor</a>(CLAccessor(bbox_deltas), bbx_vector);</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6a5eef7d8485a2b8c04bf9b4638a90e9">fill_tensor</a>(CLAccessor(anchors), anchors_vector);</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160;</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; <span class="comment">// Run operator</span></div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; generate_proposals.run();</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; <span class="comment">// Gather num_valid_proposals</span></div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; num_valid_proposals.map();</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; <span class="keyword">const</span> uint32_t N = *reinterpret_cast&lt;uint32_t *&gt;(num_valid_proposals.ptr_to_element(Coordinates(0, 0)));</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; num_valid_proposals.unmap();</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160;</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; <span class="comment">// Select the first N entries of the proposals</span></div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; CLTensor proposals_final;</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; CLSlice select_proposals;</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; select_proposals.configure(&amp;proposals, &amp;proposals_final, Coordinates(0, 0), Coordinates(values_per_roi + 1, N));</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; proposals_final.allocator()-&gt;allocate();</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; select_proposals.run();</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160;</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; <span class="comment">// Select the first N entries of the scores</span></div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; CLTensor scores_final;</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; CLSlice select_scores;</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; select_scores.configure(&amp;scores_out, &amp;scores_final, Coordinates(0), Coordinates(N));</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; scores_final.allocator()-&gt;allocate();</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; select_scores.run();</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160;</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; <span class="keyword">const</span> RelativeTolerance&lt;float&gt; <a class="code" href="cl__gemm_8cpp.xhtml#ae7f215e412cfa0dae5a983b0bf4071a1">tolerance_f32</a>(1e-5f);</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; <span class="comment">// Validate the output</span></div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(proposals_final), proposals_expected, <a class="code" href="cl__gemm_8cpp.xhtml#ae7f215e412cfa0dae5a983b0bf4071a1">tolerance_f32</a>);</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(scores_final), scores_expected, <a class="code" href="cl__gemm_8cpp.xhtml#ae7f215e412cfa0dae5a983b0bf4071a1">tolerance_f32</a>);</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160;}</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160;</div><div class="line"><a name="l00380"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a915053eca2fe8b7193255831e6801e79"> 380</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(ComputeAllAnchors, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4241c6ea2277c5206b732934f400681f">CLComputeAllAnchorsFixture&lt;float&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>,</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;NumAnchors&quot;</span>, { 2, 4, 8 }), ComputeAllInfoDataset), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> })))</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160;{</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target), _reference);</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160;}</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// FP32</span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160;</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(FP16)</div><div class="line"><a name="l00389"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab948045b334214fc919dcf54da707147"> 389</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(ComputeAllAnchors, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4241c6ea2277c5206b732934f400681f">CLComputeAllAnchorsFixture</a>&lt;<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div><div class="line"><a name="l00390"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac80f82e8dc7ce5ac80f1134cb662e0f1"> 390</a></span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;NumAnchors&quot;, { 2, 4, 8 }), ComputeAllInfoDataset), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a> })))</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160;{</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target), _reference);</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160;}</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// FP16</span></div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Float</span></div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160;</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160;template &lt;typename T&gt;</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160;using CLComputeAllAnchorsQuantizedFixture = ComputeAllAnchorsQuantizedFixture&lt;CLTensor, CLAccessor, CLComputeAllAnchors, T&gt;;</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160;</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Quantized)</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(QASYMM8)</div><div class="line"><a name="l00403"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#aae4a9379feeaba628f243fc9114777c0"> 403</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(ComputeAllAnchors, CLComputeAllAnchorsQuantizedFixture&lt;int16_t&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;NumAnchors&quot;, { 2, 4, 8 }), ComputeAllInfoDataset),</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a> })),</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;QuantInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.125f, 0) })))</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160;{</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target), _reference, tolerance_qsymm16);</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160;}</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// QASYMM8</span></div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Quantized</span></div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160;</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// GenerateProposals</span></div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// CL</span></div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160;</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4241c6ea2277c5206b732934f400681f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4241c6ea2277c5206b732934f400681f">arm_compute::test::validation::CLComputeAllAnchorsFixture</a></div><div class="ttdeci">ComputeAllAnchorsFixture&lt; CLTensor, CLAccessor, CLComputeAllAnchors, T &gt; CLComputeAllAnchorsFixture</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_generate_proposals_layer_8cpp_source.xhtml#l00152">GenerateProposalsLayer.cpp:152</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="namespacearm__compute_1_1test_1_1validation_xhtml_acf5f12bbab64dd614bd8220c97fe484f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">arm_compute::test::validation::data_layout</a></div><div class="ttdeci">const DataLayout data_layout</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00146">Im2Col.cpp:146</a></div></div>
<div class="ttc" id="cl__gemm_8cpp_xhtml_ae7f215e412cfa0dae5a983b0bf4071a1"><div class="ttname"><a href="cl__gemm_8cpp.xhtml#ae7f215e412cfa0dae5a983b0bf4071a1">tolerance_f32</a></div><div class="ttdeci">RelativeTolerance&lt; float &gt; tolerance_f32(0.001f)</div><div class="ttdoc">F32 Tolerance value for comparing reference's output against implementation's output for floating poi...</div></div>
<div class="ttc" id="_c_l_permute_8h_xhtml"><div class="ttname"><a href="_c_l_permute_8h.xhtml">CLPermute.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">arm_compute::DataType::QSYMM16</a></div><div class="ttdoc">quantized, symmetric fixed-point 16-bit number</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa6e67bddae371a5731f6d4002e787299"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">arm_compute::test::validation::expected</a></div><div class="ttdeci">expected</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_batch_normalization_layer_8cpp_source.xhtml#l00197">BatchNormalizationLayer.cpp:197</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a73e2825fd61d349c5ca2f5313e3c8ea1"><div class="ttname"><a href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">arm_compute::half</a></div><div class="ttdeci">half_float::half half</div><div class="ttdoc">16-bit floating point type</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00045">Types.h:45</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3c8562a1f05d23f44aed87545b7892cf"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">arm_compute::test::validation::ARM_COMPUTE_EXPECT</a></div><div class="ttdeci">ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a33e65be485104e2e9e69fca551d6f492"><div class="ttname"><a href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">arm_compute::PermutationVector</a></div><div class="ttdeci">Strides PermutationVector</div><div class="ttdoc">Permutation vector.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00048">Types.h:48</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a4083de30daebd6bdee6b35d9c8262108"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a4083de30daebd6bdee6b35d9c8262108">arm_compute::CLTensor::allocator</a></div><div class="ttdeci">CLTensorAllocator * allocator()</div><div class="ttdoc">Return a pointer to the tensor's allocator.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00061">CLTensor.cpp:61</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&lt; is_container&lt; T &gt;::value, ContainerDataset&lt; T &gt; &gt;::type make(std::string name, T &amp;&amp;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#l00161">ContainerDataset.h:161</a></div></div>
<div class="ttc" id="_c_l_accessor_8h_xhtml"><div class="ttname"><a href="_c_l_accessor_8h.xhtml">CLAccessor.h</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) 2017-2020 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="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a21c3e11887f3acf9284ca763372c7da0"><div class="ttname"><a href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">arm_compute::permute</a></div><div class="ttdeci">void permute(Dimensions&lt; T &gt; &amp;dimensions, const PermutationVector &amp;perm)</div><div class="ttdoc">Permutes given Dimensions according to a permutation vector.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00570">Helpers.h:570</a></div></div>
<div class="ttc" id="_c_l_scheduler_8h_xhtml"><div class="ttname"><a href="_c_l_scheduler_8h.xhtml">CLScheduler.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#l00069">QuantizationInfo.h:69</a></div></div>
<div class="ttc" id="_globals_8h_xhtml"><div class="ttname"><a href="_globals_8h.xhtml">Globals.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cf"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">arm_compute::test::framework::DatasetMode</a></div><div class="ttdeci">DatasetMode</div><div class="ttdoc">Possible dataset modes.</div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00040">DatasetModes.h:40</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_compute_all_anchors_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_compute_all_anchors.xhtml">arm_compute::CLComputeAllAnchors</a></div><div class="ttdoc">Basic function to run CLComputeAllAnchorsKernel.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_compute_all_anchors_8h_source.xhtml#l00039">CLComputeAllAnchors.h:39</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6a5eef7d8485a2b8c04bf9b4638a90e9"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6a5eef7d8485a2b8c04bf9b4638a90e9">arm_compute::test::validation::fill_tensor</a></div><div class="ttdeci">fill_tensor(input_to_input_weights, std::vector&lt; uint8_t &gt;{ 122, 130, 124, 134, 120, 122, 134, 134 })</div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_l_simple_function_xhtml_a92fe532c342ae2b07956a65520c05362"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362">arm_compute::ICLSimpleFunction::run</a></div><div class="ttdeci">void run() override final</div><div class="ttdoc">Run the kernels contained in the function.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_simple_function_8cpp_source.xhtml#l00039">ICLSimpleFunction.cpp:39</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::Format::U32</a></div><div class="ttdoc">1 channel, 1 U32 per 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="_c_l_slice_8h_xhtml"><div class="ttname"><a href="_c_l_slice_8h.xhtml">CLSlice.h</a></div></div>
<div class="ttc" id="utils_2_type_printer_8h_xhtml"><div class="ttname"><a href="utils_2_type_printer_8h.xhtml">TypePrinter.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_1_1cast_xhtml_a2ea3d1fc01a3a442900249ca182ffa5e"><div class="ttname"><a href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">arm_compute::utils::cast::U</a></div><div class="ttdeci">U</div><div class="ttdef"><b>Definition:</b> <a href="_saturate_cast_8h_source.xhtml#l00057">SaturateCast.h:57</a></div></div>
<div class="ttc" id="tests_2framework_2_macros_8h_xhtml"><div class="ttname"><a href="tests_2framework_2_macros_8h.xhtml">Macros.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">arm_compute::DataLayout::NCHW</a></div><div class="ttdoc">Num samples, channels, height, width.</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac95a886daa65a1813ffe9498074d2f39"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">arm_compute::test::validation::FIXTURE_DATA_TEST_CASE</a></div><div class="ttdeci">FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))</div><div class="ttdef"><b>Definition:</b> <a href="_abs_layer_8cpp_source.xhtml#l00050">AbsLayer.cpp:50</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_generate_proposals_layer_xhtml_a0dd15c751cbdd5768cb781ef766e50dd"><div class="ttname"><a href="classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a0dd15c751cbdd5768cb781ef766e50dd">arm_compute::CLGenerateProposalsLayer::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *scores, const ITensorInfo *deltas, const ITensorInfo *anchors, const ITensorInfo *proposals, const ITensorInfo *scores_out, const ITensorInfo *num_valid_proposals, const GenerateProposalsInfo &amp;info)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLGenerateProposalsLayer...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_generate_proposals_layer_8cpp_source.xhtml#l00193">CLGenerateProposalsLayer.cpp:193</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_allocator_xhtml_a6e509c2a177b0b29e9e2369535094dee"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">arm_compute::CLTensorAllocator::allocate</a></div><div class="ttdeci">void allocate() override</div><div class="ttdoc">Allocate size specified by TensorInfo of OpenCL memory.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_allocator_8cpp_source.xhtml#l00127">CLTensorAllocator.cpp:127</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_1_c_l_compute_all_anchors_xhtml_a4475c404f4bc3140b493a987d1fa0fc6"><div class="ttname"><a href="classarm__compute_1_1_c_l_compute_all_anchors.xhtml#a4475c404f4bc3140b493a987d1fa0fc6">arm_compute::CLComputeAllAnchors::configure</a></div><div class="ttdeci">void configure(const ICLTensor *anchors, ICLTensor *all_anchors, const ComputeAnchorsInfo &amp;info)</div><div class="ttdoc">Set the input and output tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_compute_all_anchors_8cpp_source.xhtml#l00030">CLComputeAllAnchors.cpp:30</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() -&gt;valid_region(), valid_region)</div></div>
<div class="ttc" id="_c_l_compute_all_anchors_8h_xhtml"><div class="ttname"><a href="_c_l_compute_all_anchors_8h.xhtml">CLComputeAllAnchors.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">arm_compute::test::framework::DatasetMode::ALL</a></div></div>
<div class="ttc" id="_c_l_generate_proposals_layer_8h_xhtml"><div class="ttname"><a href="_c_l_generate_proposals_layer_8h.xhtml">CLGenerateProposalsLayer.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_compute_anchors_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_compute_anchors_info.xhtml">arm_compute::ComputeAnchorsInfo</a></div><div class="ttdoc">ComputeAnchors information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01498">Types.h:1498</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">arm_compute::DataLayout::NHWC</a></div><div class="ttdoc">Num samples, height, width, channels.</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ed31007ae463a3cec24a581f3651f6"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">arm_compute::test::validation::TEST_SUITE_END</a></div><div class="ttdeci">TEST_SUITE_END() FIXTURE_DATA_TEST_CASE(RunSmall</div><div class="ttdoc">Input data sets.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_dequantization_layer_8cpp_source.xhtml#l00137">DequantizationLayer.cpp:137</a></div></div>
<div class="ttc" id="_validation_8h_xhtml"><div class="ttname"><a href="_validation_8h.xhtml">Validation.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">arm_compute::test::framework::LogLevel::ERRORS</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a5f5b6c4337eac9e2e0046ca2304d80dc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">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_arithmetic_addition_8cpp_source.xhtml#l00138">ArithmeticAddition.cpp:138</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a96f9e78d0c2a93f0e3a876eeae4be4b0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">arm_compute::test::validation::zip</a></div><div class="ttdeci">zip(zip(framework::dataset::make(&quot;Weights&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 1U), 1, DataType::F32), }), framework::dataset::make(&quot;MVBGInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(5U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false}))</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#l00075">Types.h:75</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae7b9eaebbc5f863aec87551728eba105"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">arm_compute::test::validation::combine</a></div><div class="ttdeci">combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))</div><div class="ttdef"><b>Definition:</b> <a href="_abs_layer_8cpp_source.xhtml#l00065">AbsLayer.cpp:65</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8f65156abdd90180036790221cfc915f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">arm_compute::test::validation::TEST_SUITE</a></div><div class="ttdeci">TEST_SUITE(U8_to_S8) DATA_TEST_CASE(Configuration</div></div>
<div class="ttc" id="_c_l_array_accessor_8h_xhtml"><div class="ttname"><a href="_c_l_array_accessor_8h.xhtml">CLArrayAccessor.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a1f1266d183bfb4d479ec334fed85dc27"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">arm_compute::test::validation::DATA_TEST_CASE</a></div><div class="ttdeci">DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset), shape, data_type0, data_type1, output_data_type)</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00060">AbsoluteDifference.cpp:60</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml">arm_compute::CLTensor</a></div><div class="ttdoc">Basic implementation of the OpenCL tensor interface.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8h_source.xhtml#l00041">CLTensor.h:41</a></div></div>
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