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| <a href="validation_2_c_l_2_activation_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> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="_c_l_tensor_8h.xhtml">arm_compute/runtime/CL/CLTensor.h</a>"</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="_c_l_tensor_allocator_8h.xhtml">arm_compute/runtime/CL/CLTensorAllocator.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_c_l_activation_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLActivationLayer.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_c_l_accessor_8h.xhtml">tests/CL/CLAccessor.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_padding_calculator_8h.xhtml">tests/PaddingCalculator.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "tests/datasets/ActivationFunctionsDataset.h"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "tests/datasets/ShapeDatasets.h"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_asserts_8h.xhtml">tests/framework/Asserts.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="tests_2framework_2_macros_8h.xhtml">tests/framework/Macros.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</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="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="_validation_8h.xhtml">tests/validation/Validation.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "tests/validation/fixtures/ActivationLayerFixture.h"</span></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><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">namespace </span>test</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">namespace </span>validation</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> constexpr AbsoluteTolerance<float> tolerance_qsymm16(1.f);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> AbsoluteTolerance<float> tolerance(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationLayerInfo::ActivationFunction</a> activation, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>)</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  constexpr <span class="keywordtype">float</span> <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a> = 1e-6f;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">switch</span>(activation)</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaaac544aacc3615aada24897a215f5046">ActivationLayerInfo::ActivationFunction::LINEAR</a>:</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">return</span> AbsoluteTolerance<float>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a> == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a> ? 0.2f : <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa12dec4e1f7ec620651b2b95c440ffac0">ActivationLayerInfo::ActivationFunction::SQUARE</a>:</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">return</span> AbsoluteTolerance<float>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a> == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a> ? 0.1f : <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationLayerInfo::ActivationFunction::LOGISTIC</a>:</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">return</span> AbsoluteTolerance<float>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a> == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a> ? 0.001f : <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaac7e80a3de04936f4e423e1b564fdca10">ActivationLayerInfo::ActivationFunction::LEAKY_RELU</a>:</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">return</span> AbsoluteTolerance<float>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a> == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a> ? 0.00001f : <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaadcc44a50c791a591c74e00ecdda7c58d">ActivationLayerInfo::ActivationFunction::SOFT_RELU</a>:</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa36875f2500a09ee35d0bb7eb8c0b91b0">ActivationLayerInfo::ActivationFunction::SQRT</a>:</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">return</span> AbsoluteTolerance<float>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a> == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a> ? 0.01f : 0.00001f);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationLayerInfo::ActivationFunction::TANH</a>:</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">return</span> AbsoluteTolerance<float>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a> == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a> ? 0.001f : 0.00001f);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">return</span> AbsoluteTolerance<float>(<a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  }</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> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="keyword">const</span> <span class="keyword">auto</span> CNNDataTypes = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"DataType"</span>,</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.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> });</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="keyword">const</span> <span class="keyword">auto</span> ActivationDataset = <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">"InPlace"</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> }), datasets::ActivationFunctions()), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"AlphaBeta"</span>, { 0.5f, 1.f }));</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> } <span class="comment">// namespace</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(CL)</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(ActivationLayer)</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#aaa7953698326d53bf5c662c6c3f53347"> 93</a></span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">DATA_TEST_CASE</a>(Configuration, 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#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallShapes(), CNNDataTypes), framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>("InPlace", { <span class="keyword">false</span>, <span class="keyword">true</span> })),</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>, in_place)</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// Create tensors</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = create_tensor<CLTensor>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>, 1);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = create_tensor<CLTensor>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>, 1);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.info()->is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</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>  <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="classarm__compute_1_1_c_l_activation_layer.xhtml">CLActivationLayer</a> act_layer;</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="keywordflow">if</span>(in_place)</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  {</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  act_layer.<a class="code" href="classarm__compute_1_1_c_l_activation_layer.xhtml#a239fea32ba46d038ba350dba58026c45">configure</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, <span class="keyword">nullptr</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#a56297e0f7b215eea46c818cb7528d9eaa7d8a220d2262f9d6c658d549ee12cf2c">ActivationLayerInfo::ActivationFunction::ABS</a>));</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  act_layer.configure(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, <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#a56297e0f7b215eea46c818cb7528d9eaa7d8a220d2262f9d6c658d549ee12cf2c">ActivationLayerInfo::ActivationFunction::ABS</a>));</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  }</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="comment">// Validate valid region</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keyword">const</span> ValidRegion <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a8103df0e6c416f55f40106aa49072b42">shape_to_valid_region</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.info()->valid_region(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a>);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">if</span>(!in_place)</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  {</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a>);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="comment">// Validate padding</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a75b73e17c4ebe901e44af3b2b9846ab3">step</a> = 16 / <a class="code" href="namespacearm__compute.xhtml#abb7e0f23a4f2e63f39433f158dad47ab">arm_compute::data_size_from_type</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a> = PaddingCalculator(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.x(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a75b73e17c4ebe901e44af3b2b9846ab3">step</a>).required_padding();</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.info()->padding(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">if</span>(!in_place)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  }</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> }</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="comment">// *INDENT-OFF*</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="comment">// clang-format off</span></div><div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1c04e3cd35406e97c777d74dc2118ecb"> 137</a></span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">DATA_TEST_CASE</a>(Validate, <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#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="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"InputInfo"</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>(27U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Mismatching data types</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</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>(27U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Window shrink</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</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>(32U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</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>(32U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>),</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</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>(27U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>), <span class="comment">// Invalid quantization info</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</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>(27U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Mismatching shapes</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</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>(32U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>),</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</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>(32U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>),</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</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>(32U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>), <span class="comment">// Invalid activation function for QSYMM16</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  }),</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"OutputInfo"</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>(27U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>),</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</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>(27U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</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>(32U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</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>(32U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>),</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</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>(27U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>),</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</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>(30U, 11U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</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>(32U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>, <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.f / 32768.f, 0)),</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</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>(32U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>, <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.f / 32768.f, 0)),</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</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>(32U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>, <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.f / 32768.f, 0)),</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  })),</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"ActivationInfo"</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="l00159"></a><span class="lineno"> 159</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="l00160"></a><span class="lineno"> 160</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="l00161"></a><span class="lineno"> 161</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#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU</a>),</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</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#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationLayerInfo::ActivationFunction::TANH</a>),</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</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="l00164"></a><span class="lineno"> 164</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#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationLayerInfo::ActivationFunction::TANH</a>),</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</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#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationLayerInfo::ActivationFunction::LOGISTIC</a>),</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</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#a56297e0f7b215eea46c818cb7528d9eaa36875f2500a09ee35d0bb7eb8c0b91b0">ActivationLayerInfo::ActivationFunction::SQRT</a>),</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  })),</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"Expected"</span>, { <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">false</span> })),</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>)</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> {</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <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_activation_layer.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c">CLActivationLayer::validate</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a>.clone()->set_is_resizable(<span class="keyword">false</span>), (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>.total_size() == 0) ? <span class="keyword">nullptr</span> : &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>.clone()->set_is_resizable(<span class="keyword">false</span>), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>)) == <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="l00172"></a><span class="lineno"> 172</span> }</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="comment">// clang-format on</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="comment">// *INDENT-ON*</span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00178"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad5b12b22c816f5f7724d386528bd3292"> 178</a></span> <span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad5b12b22c816f5f7724d386528bd3292">CLActivationLayerFixture</a> = ActivationValidationFixture<CLTensor, CLAccessor, CLActivationLayer, T>;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Float)</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(FP16)</div><div class="line"><a name="l00184"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#acc16f69c216561ccfe575ec7f7421171"> 184</a></span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad5b12b22c816f5f7724d386528bd3292">CLActivationLayerFixture</a><<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>>, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT, <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>(datasets::SmallShapes(), ActivationDataset),</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>("<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>",</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::F16)))</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> {</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="comment">// Validate output</span></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance(_function, _data_type));</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> }</div><div class="line"><a name="l00192"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1593ca319ee1b25c2aa6f7b30c2c43b9"> 192</a></span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad5b12b22c816f5f7724d386528bd3292">CLActivationLayerFixture<half></a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</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>(datasets::LargeShapes(), ActivationDataset),</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"DataType"</span>,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>)))</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> {</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="comment">// Validate output</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance(_function, _data_type));</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> }</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <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="l00200"></a><span class="lineno"> 200</span> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(FP32)</div><div class="line"><a name="l00202"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a98903ef6ff2f77c0f4a909b4fc9654a5"> 202</a></span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad5b12b22c816f5f7724d386528bd3292">CLActivationLayerFixture</a><<span class="keywordtype">float</span>>, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT, <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>(datasets::SmallShapes(), ActivationDataset), framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>("<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>",</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::F32)))</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> {</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="comment">// Validate output</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance(_function, _data_type));</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> }</div><div class="line"><a name="l00208"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1788ed44fd56453e4836c6a9ac42619b"> 208</a></span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad5b12b22c816f5f7724d386528bd3292">CLActivationLayerFixture<float></a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</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>(datasets::LargeShapes(), ActivationDataset), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"DataType"</span>,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)))</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> {</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="comment">// Validate output</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance(_function, _data_type));</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> }</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <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="l00215"></a><span class="lineno"> 215</span> <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="l00216"></a><span class="lineno"> 216</span> </div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> template <typename T></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> using CLActivationLayerQuantizedFixture = ActivationValidationQuantizedFixture<<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>, <a class="code" href="classarm__compute_1_1_c_l_activation_layer.xhtml">CLActivationLayer</a>, T>;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0b8743d7c78a9fa2c303aa1b255a1b8e"> 220</a></span> const auto <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0b8743d7c78a9fa2c303aa1b255a1b8e">QuantizedActivationDataset</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>("InPlace", { <span class="keyword">false</span> }), datasets::ActivationFunctionsQuantized()),</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"AlphaBeta"</span>, { 0.5f, 1.f }));</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Quantized)</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(QASYMM8)</div><div class="line"><a name="l00225"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9b033615b2b25008029728d82da1059d"> 225</a></span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, CLActivationLayerQuantizedFixture<uint8_t>, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT, <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>(datasets::SmallShapes(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0b8743d7c78a9fa2c303aa1b255a1b8e">QuantizedActivationDataset</a>),</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>("<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>",</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::QASYMM8)),</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>("<a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>", { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.1f, 128.0f) })))</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> {</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="comment">// Validate output</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance(_function, _data_type));</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> }</div><div class="line"><a name="l00233"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a84071decebcb90696f1be0c97f74cc42"> 233</a></span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, CLActivationLayerQuantizedFixture<uint8_t>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</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>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeShapes(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0b8743d7c78a9fa2c303aa1b255a1b8e">QuantizedActivationDataset</a>),</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"DataType"</span>,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>)),</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"QuantizationInfo"</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.1f, 128.0f) })))</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> {</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="comment">// Validate output</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance(_function, _data_type));</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> }</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> <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="l00242"></a><span class="lineno"> 242</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(QSYMM16)</div><div class="line"><a name="l00243"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae334e98006d312e72fdd110b969caf5d"> 243</a></span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, CLActivationLayerQuantizedFixture<int16_t>, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT, <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>(datasets::SmallShapes(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0b8743d7c78a9fa2c303aa1b255a1b8e">QuantizedActivationDataset</a>),</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>("<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>",</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::QSYMM16)),</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>("<a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>", { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.f / 32768.f, 0) })))</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> {</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="comment">// Validate output</span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_qsymm16);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> }</div><div class="line"><a name="l00251"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae0ef1958ef1ec87e796e65075469c59e"> 251</a></span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6aee5a77d963d14b04f5260bcc23b04f">CLActivationLayerQuantizedFixture<int16_t></a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</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>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeShapes(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0b8743d7c78a9fa2c303aa1b255a1b8e">QuantizedActivationDataset</a>),</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"DataType"</span>,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>)),</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"QuantizationInfo"</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.f / 32768.f, 0) })))</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> {</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="comment">// Validate output</span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_qsymm16);</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> }</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// QSYMM16</span></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <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="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// ActivationLayer</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> <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="l00264"></a><span class="lineno"> 264</span> } <span class="comment">// namespace validation</span></div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> } <span class="comment">// namespace test</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> } <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="classarm__compute_1_1_c_l_activation_layer_xhtml_aa37e2d0b4cd4f835bfa2a2df4a0bdd2c"><div class="ttname"><a href="classarm__compute_1_1_c_l_activation_layer.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c">arm_compute::CLActivationLayer::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLActivationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_activation_layer_8cpp_source.xhtml#l00039">CLActivationLayer.cpp:39</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00097">AbsoluteDifference.cpp:97</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div> |
| <div class="ttc" id="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="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00035">CLTensor.cpp:35</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_aaee6555ace43b03173844b1a228a3fc3"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">arm_compute::TensorInfo::is_resizable</a></div><div class="ttdeci">bool is_resizable() const override</div><div class="ttdoc">Flag indicating whether the size of the tensor can be changed.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00276">TensorInfo.h:276</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a1f8aca235c095df227e7444f6b237eb1"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">arm_compute::test::validation::act_info</a></div><div class="ttdeci">act_info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00175">ConvolutionLayer.cpp:175</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a3c20d908342087484d883574d55dd482"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">arm_compute::TensorInfo::valid_region</a></div><div class="ttdeci">ValidRegion valid_region() const override</div><div class="ttdoc">Valid region of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00285">TensorInfo.h:285</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="_padding_calculator_8h_xhtml"><div class="ttname"><a href="_padding_calculator_8h.xhtml">PaddingCalculator.h</a></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="validation_2_c_l_2_batch_normalization_layer_8cpp_source.xhtml#l00197">BatchNormalizationLayer.cpp:197</a></div></div> |
| <div class="ttc" id="_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_8h.xhtml">CLTensor.h</a></div></div> |
| <div class="ttc" id="_asymm_helpers_8cpp_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00033">AsymmHelpers.cpp:33</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#l00044">Types.h:44</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_1_1test_1_1validation_xhtml_a25cae7166733a51d1354f3f395652782"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">arm_compute::test::validation::output_info</a></div><div class="ttdeci">output_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00330">Winograd.cpp:330</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a0b8743d7c78a9fa2c303aa1b255a1b8e"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a0b8743d7c78a9fa2c303aa1b255a1b8e">arm_compute::test::validation::QuantizedActivationDataset</a></div><div class="ttdeci">const auto QuantizedActivationDataset</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_activation_layer_8cpp_source.xhtml#l00220">ActivationLayer.cpp:220</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#l00161">ContainerDataset.h:161</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_activation_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_activation_layer.xhtml">arm_compute::CLActivationLayer</a></div><div class="ttdoc">Basic function to run CLActivationLayerKernel.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_activation_layer_8h_source.xhtml#l00039">CLActivationLayer.h:39</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a79e20eacb1e963e24a21ebd7369effd7"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">arm_compute::TensorInfo::padding</a></div><div class="ttdeci">PaddingSize padding() const override</div><div class="ttdoc">Padding of tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00268">TensorInfo.h:268</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#l01517">Types.h:1517</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) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaa7d8a220d2262f9d6c658d549ee12cf2c"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa7d8a220d2262f9d6c658d549ee12cf2c">arm_compute::ActivationLayerInfo::ActivationFunction::ABS</a></div><div class="ttdoc">Absolute ( )</div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9ea">arm_compute::ActivationLayerInfo::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdoc">Available activation functions.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01521">Types.h:1521</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_1_1test_1_1validation_xhtml_a75b73e17c4ebe901e44af3b2b9846ab3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a75b73e17c4ebe901e44af3b2b9846ab3">arm_compute::test::validation::step</a></div><div class="ttdeci">const int step</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_select_8cpp_source.xhtml#l00172">Select.cpp:172</a></div></div> |
| <div class="ttc" id="_c_l_tensor_allocator_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_allocator_8h.xhtml">CLTensorAllocator.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaa36875f2500a09ee35d0bb7eb8c0b91b0"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa36875f2500a09ee35d0bb7eb8c0b91b0">arm_compute::ActivationLayerInfo::ActivationFunction::SQRT</a></div><div class="ttdoc">Square root ( )</div></div> |
| <div class="ttc" id="classarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization information.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00066">QuantizationInfo.h:66</a></div></div> |
| <div class="ttc" id="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="namespacearm__compute_1_1test_1_1validation_xhtml_a6aee5a77d963d14b04f5260bcc23b04f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6aee5a77d963d14b04f5260bcc23b04f">arm_compute::test::validation::CLActivationLayerQuantizedFixture< int16_t ></a></div><div class="ttdeci">CLActivationLayerQuantizedFixture< int16_t ></div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_activation_layer_8cpp_source.xhtml#l00243">ActivationLayer.cpp:243</a></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="namespacearm__compute_1_1test_1_1validation_xhtml_ae008e90eb6906fa3526213bc860f6cc5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">arm_compute::test::validation::input_info</a></div><div class="ttdeci">input_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00330">Winograd.cpp:330</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad5b12b22c816f5f7724d386528bd3292"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad5b12b22c816f5f7724d386528bd3292">arm_compute::test::validation::CLActivationLayerFixture</a></div><div class="ttdeci">ActivationValidationFixture< CLTensor, CLAccessor, CLActivationLayer, T > CLActivationLayerFixture</div><div class="ttdoc">[CLActivationLayerFixture snippet]</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_activation_layer_8cpp_source.xhtml#l00178">ActivationLayer.cpp:178</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number</div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">arm_compute::test::CLAccessor</a></div><div class="ttdoc">Accessor implementation for CLTensor objects.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00035">CLAccessor.h:35</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_abb7e0f23a4f2e63f39433f158dad47ab"><div class="ttname"><a href="namespacearm__compute.xhtml#abb7e0f23a4f2e63f39433f158dad47ab">arm_compute::data_size_from_type</a></div><div class="ttdeci">size_t data_size_from_type(DataType data_type)</div><div class="ttdoc">The size in bytes of the data type.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00109">Utils.h:109</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00102">AbsoluteDifference.cpp:102</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7819bcbbf45c2e7c1396a137dce54422"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">arm_compute::test::validation::valid_region</a></div><div class="ttdeci">const ValidRegion valid_region</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00109">AbsoluteDifference.cpp:109</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a4467b302fc9ec312c40580336ab783da"><div class="ttname"><a href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">arm_compute::PaddingSize</a></div><div class="ttdeci">BorderSize PaddingSize</div><div class="ttdoc">Container for 2D padding size.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00346">Types.h:346</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">arm_compute::ActivationLayerInfo::ActivationFunction::LOGISTIC</a></div><div class="ttdoc">Logistic ( )</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="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaa12dec4e1f7ec620651b2b95c440ffac0"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa12dec4e1f7ec620651b2b95c440ffac0">arm_compute::ActivationLayerInfo::ActivationFunction::SQUARE</a></div><div class="ttdoc">Square ( )</div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">arm_compute::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU</a></div><div class="ttdoc">Lower and Upper Bounded Rectifier ( )</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< half >, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", 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="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">arm_compute::test::framework::DatasetMode::NIGHTLY</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() ->valid_region(), valid_region)</div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaac7e80a3de04936f4e423e1b564fdca10"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaac7e80a3de04936f4e423e1b564fdca10">arm_compute::ActivationLayerInfo::ActivationFunction::LEAKY_RELU</a></div><div class="ttdoc">Leaky Rectifier ( )</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="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">arm_compute::ActivationLayerInfo::ActivationFunction::TANH</a></div><div class="ttdoc">Hyperbolic tangent ( )</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="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_unstack_8cpp_source.xhtml#l00096">Unstack.cpp:96</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_activation_layer_xhtml_a239fea32ba46d038ba350dba58026c45"><div class="ttname"><a href="classarm__compute_1_1_c_l_activation_layer.xhtml#a239fea32ba46d038ba350dba58026c45">arm_compute::CLActivationLayer::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, ICLTensor *output, ActivationLayerInfo act_info)</div><div class="ttdoc">Set the input and output tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_activation_layer_8cpp_source.xhtml#l00032">CLActivationLayer.cpp:32</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="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaadcc44a50c791a591c74e00ecdda7c58d"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaadcc44a50c791a591c74e00ecdda7c58d">arm_compute::ActivationLayerInfo::ActivationFunction::SOFT_RELU</a></div><div class="ttdoc">Soft Rectifier ( )</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#l00135">ArithmeticAddition.cpp:135</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("Weights", { 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("MVBGInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(5U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false}))</div></div> |
| <div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00074">Types.h:74</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a735a025fce26c1ef147b54426df18181"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">arm_compute::test::validation::padding</a></div><div class="ttdeci">const PaddingSize padding</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00113">AbsoluteDifference.cpp:113</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("DataType", 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="namespacearm__compute_1_1test_xhtml_a8103df0e6c416f55f40106aa49072b42"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a8103df0e6c416f55f40106aa49072b42">arm_compute::test::shape_to_valid_region</a></div><div class="ttdeci">ValidRegion shape_to_valid_region(const TensorShape &a_shape, bool border_undefined=false, BorderSize border_size=BorderSize(0))</div><div class="ttdoc">Create a valid region based on tensor shape, border mode and border size.</div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00221">Utils.h:221</a></div></div> |
| <div class="ttc" id="_c_l_activation_layer_8h_xhtml"><div class="ttname"><a href="_c_l_activation_layer_8h.xhtml">CLActivationLayer.h</a></div></div> |
| <div class="ttc" id="_asserts_8h_xhtml"><div class="ttname"><a href="_asserts_8h.xhtml">Asserts.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a989ab3e96426615bb98e04e0235088ca"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">arm_compute::test::validation::src</a></div><div class="ttdeci">cast configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_cast_8cpp_source.xhtml#l00169">Cast.cpp:169</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#l00040">CLTensor.h:40</a></div></div> |
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