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9 <title>Compute Library: tests/benchmark/NEON/ActivationLayer.cpp Source File</title>
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115 <div class="title">ActivationLayer.cpp</div> </div>
117 <div class="contents">
118 <a href="benchmark_2_n_e_o_n_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>
119 <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017 ARM Limited.</span></div>
120 <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div>
121 <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div>
122 <div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div>
123 <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>
124 <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>
125 <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>
126 <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>
127 <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>
128 <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>
129 <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div>
130 <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>
131 <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div>
132 <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div>
133 <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>
134 <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>
135 <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>
136 <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>
137 <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>
138 <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>
139 <div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div>
140 <div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div>
141 <div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>"</span></div>
142 <div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div>
143 <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="_n_e_activation_layer_8h.xhtml">arm_compute/runtime/NEON/functions/NEActivationLayer.h</a>"</span></div>
144 <div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>"</span></div>
145 <div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_tensor_allocator_8h.xhtml">arm_compute/runtime/TensorAllocator.h</a>"</span></div>
146 <div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_accessor_8h.xhtml">tests/NEON/Accessor.h</a>"</span></div>
147 <div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="benchmark_2fixtures_2_activation_layer_fixture_8h.xhtml">tests/benchmark/fixtures/ActivationLayerFixture.h</a>"</span></div>
148 <div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_alex_net_activation_layer_dataset_8h.xhtml">tests/datasets/system_tests/alexnet/AlexNetActivationLayerDataset.h</a>"</span></div>
149 <div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_goog_le_net_inception_v1_activation_layer_dataset_8h.xhtml">tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ActivationLayerDataset.h</a>"</span></div>
150 <div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="_goog_le_net_inception_v4_activation_layer_dataset_8h.xhtml">tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ActivationLayerDataset.h</a>"</span></div>
151 <div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="_le_net5_activation_layer_dataset_8h.xhtml">tests/datasets/system_tests/lenet5/LeNet5ActivationLayerDataset.h</a>"</span></div>
152 <div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="_squeeze_net_activation_layer_dataset_8h.xhtml">tests/datasets/system_tests/squeezenet/SqueezeNetActivationLayerDataset.h</a>"</span></div>
153 <div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="_v_g_g16_activation_layer_dataset_8h.xhtml">tests/datasets/system_tests/vgg/vgg16/VGG16ActivationLayerDataset.h</a>"</span></div>
154 <div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="_y_o_l_o_v2_activation_layer_dataset_8h.xhtml">tests/datasets/system_tests/yolo/v2/YOLOV2ActivationLayerDataset.h</a>"</span></div>
155 <div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include "<a class="code" href="_macros_8h.xhtml">tests/framework/Macros.h</a>"</span></div>
156 <div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include "<a class="code" href="_datasets_8h.xhtml">tests/framework/datasets/Datasets.h</a>"</span></div>
157 <div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include "<a class="code" href="_type_printer_8h.xhtml">utils/TypePrinter.h</a>"</span></div>
158 <div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div>
159 <div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">namespace </span>arm_compute</div>
160 <div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div>
161 <div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">namespace </span>test</div>
162 <div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div>
163 <div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">namespace</span></div>
164 <div class="line"><a name="l00047"></a><span class="lineno"> 47</span> {</div>
165 <div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="preprocessor">#ifdef ARM_COMPUTE_ENABLE_FP16</span></div>
166 <div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="preprocessor"></span><span class="keyword">const</span> <span class="keyword">auto</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a> = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"DataType"</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">DataType::QS16</a> });</div>
167 <div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor">#else </span><span class="comment">/* ARM_COMPUTE_ENABLE_FP16 */</span><span class="preprocessor"></span></div>
168 <div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor"></span><span class="keyword">const</span> <span class="keyword">auto</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a> = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"DataType"</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">DataType::QS16</a> });</div>
169 <div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_ENABLE_FP16 */</span><span class="preprocessor"></span></div>
170 <div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="preprocessor"></span>} <span class="comment">// namespace</span></div>
171 <div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div>
172 <div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894"> 55</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml">NEActivationLayerFixture</a> = <a class="code" href="classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml">ActivationLayerFixture<Tensor, NEActivationLayer, Accessor></a>;</div>
173 <div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div>
174 <div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <a class="code" href="_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(NEON)</div>
175 <div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div>
176 <div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5">REGISTER_FIXTURE_DATA_TEST_CASE</a>(AlexNetActivationLayer, <a class="code" href="classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml">NEActivationLayerFixture</a>, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div>
177 <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(datasets::AlexNetActivationLayerDataset(), data_types),</div>
178 <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>("Batches", 1)));</div>
179 <div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div>
180 <div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5">REGISTER_FIXTURE_DATA_TEST_CASE</a>(LeNet5ActivationLayer, NEActivationLayerFixture, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div>
181 <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(datasets::LeNet5ActivationLayerDataset(), data_types),</div>
182 <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>("Batches", 1)));</div>
183 <div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div>
184 <div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5">REGISTER_FIXTURE_DATA_TEST_CASE</a>(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div>
185 <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types),</div>
186 <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>("Batches", 1)));</div>
187 <div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div>
188 <div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5">REGISTER_FIXTURE_DATA_TEST_CASE</a>(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div>
189 <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types),</div>
190 <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>("Batches", 1)));</div>
191 <div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div>
192 <div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5">REGISTER_FIXTURE_DATA_TEST_CASE</a>(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div>
193 <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(datasets::SqueezeNetActivationLayerDataset(), data_types),</div>
194 <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>("Batches", 1)));</div>
195 <div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div>
196 <div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5">REGISTER_FIXTURE_DATA_TEST_CASE</a>(VGG16ActivationLayer, NEActivationLayerFixture, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div>
197 <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(datasets::VGG16ActivationLayerDataset(), data_types),</div>
198 <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>("Batches", 1)));</div>
199 <div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div>
200 <div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5">REGISTER_FIXTURE_DATA_TEST_CASE</a>(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div>
201 <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(datasets::YOLOV2ActivationLayerDataset(), data_types),</div>
202 <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>("Batches", 1)));</div>
203 <div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div>
204 <div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <a class="code" href="_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(NIGHTLY)</div>
205 <div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5">REGISTER_FIXTURE_DATA_TEST_CASE</a>(AlexNetActivationLayer, NEActivationLayerFixture, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::NIGHTLY,</div>
206 <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(datasets::AlexNetActivationLayerDataset(), data_types),</div>
207 <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>("Batches", { 4, 8 })));</div>
208 <div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div>
209 <div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5">REGISTER_FIXTURE_DATA_TEST_CASE</a>(LeNet5ActivationLayer, <a class="code" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div>
210 <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(datasets::LeNet5ActivationLayerDataset(), <a class="code" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>),</div>
211 <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"Batches"</span>, { 4, 8 })));</div>
212 <div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div>
213 <div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5">REGISTER_FIXTURE_DATA_TEST_CASE</a>(GoogLeNetInceptionV1ActivationLayer, <a class="code" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div>
214 <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), <a class="code" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>),</div>
215 <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"Batches"</span>, { 4, 8 })));</div>
216 <div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div>
217 <div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5">REGISTER_FIXTURE_DATA_TEST_CASE</a>(GoogLeNetInceptionV4ActivationLayer, <a class="code" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div>
218 <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), <a class="code" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>),</div>
219 <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"Batches"</span>, { 4, 8 })));</div>
220 <div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div>
221 <div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5">REGISTER_FIXTURE_DATA_TEST_CASE</a>(SqueezeNetActivationLayer, <a class="code" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div>
222 <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(datasets::SqueezeNetActivationLayerDataset(), <a class="code" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>),</div>
223 <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"Batches"</span>, { 4, 8 })));</div>
224 <div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div>
225 <div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5">REGISTER_FIXTURE_DATA_TEST_CASE</a>(VGG16ActivationLayer, <a class="code" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div>
226 <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(datasets::VGG16ActivationLayerDataset(), <a class="code" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>),</div>
227 <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"Batches"</span>, { 4, 8 })));</div>
228 <div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div>
229 <div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5">REGISTER_FIXTURE_DATA_TEST_CASE</a>(YOLOV2ActivationLayer, <a class="code" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div>
230 <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(datasets::YOLOV2ActivationLayerDataset(), <a class="code" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>),</div>
231 <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">"Batches"</span>, { 4, 8 })));</div>
232 <div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <a class="code" href="_macros_8h.xhtml#a603cb7f45efd81606e51686da9aeebd9">TEST_SUITE_END</a>()</div>
233 <div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <a class="code" href="_macros_8h.xhtml#a603cb7f45efd81606e51686da9aeebd9">TEST_SUITE_END</a>()</div>
234 <div class="line"><a name="l00117"></a><span class="lineno"> 117</span> } <span class="comment">// namespace test</span></div>
235 <div class="line"><a name="l00118"></a><span class="lineno"> 118</span> } <span class="comment">// namespace arm_compute</span></div>
236 <div class="ttc" id="_alex_net_activation_layer_dataset_8h_xhtml"><div class="ttname"><a href="_alex_net_activation_layer_dataset_8h.xhtml">AlexNetActivationLayerDataset.h</a></div></div>
237 <div class="ttc" id="_accessor_8h_xhtml"><div class="ttname"><a href="_accessor_8h.xhtml">Accessor.h</a></div></div>
238 <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">arm_compute::DataType::QS16</a></div></div>
239 <div class="ttc" id="benchmark_2fixtures_2_activation_layer_fixture_8h_xhtml"><div class="ttname"><a href="benchmark_2fixtures_2_activation_layer_fixture_8h.xhtml">ActivationLayerFixture.h</a></div></div>
240 <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">arm_compute::DataType::QS8</a></div></div>
241 <div class="ttc" id="_v_g_g16_activation_layer_dataset_8h_xhtml"><div class="ttname"><a href="_v_g_g16_activation_layer_dataset_8h.xhtml">VGG16ActivationLayerDataset.h</a></div></div>
242 <div class="ttc" id="_macros_8h_xhtml"><div class="ttname"><a href="_macros_8h.xhtml">Macros.h</a></div></div>
243 <div class="ttc" id="_y_o_l_o_v2_activation_layer_dataset_8h_xhtml"><div class="ttname"><a href="_y_o_l_o_v2_activation_layer_dataset_8h.xhtml">YOLOV2ActivationLayerDataset.h</a></div></div>
244 <div class="ttc" id="_tensor_allocator_8h_xhtml"><div class="ttname"><a href="_tensor_allocator_8h.xhtml">TensorAllocator.h</a></div></div>
245 <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a2fba44656470195a6245f922a1c264f5"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE</a></div><div class="ttdeci">REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types), framework::dataset::make("Batches", 1)))</div></div>
246 <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 F16 per channel </div></div>
247 <div class="ttc" id="_le_net5_activation_layer_dataset_8h_xhtml"><div class="ttname"><a href="_le_net5_activation_layer_dataset_8h.xhtml">LeNet5ActivationLayerDataset.h</a></div></div>
248 <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_1_1dataset_xhtml_a352791fb808d42a82ad70df5efa3508b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">arm_compute::test::framework::dataset::make</a></div><div class="ttdeci">std::enable_if< is_container< T >::value, ContainerDataset< T > >::type make(std::string name, T &&values)</div><div class="ttdoc">Helper function to create a ContainerDataset. </div><div class="ttdef"><b>Definition:</b> <a href="_container_dataset_8h_source.xhtml#l00140">ContainerDataset.h:140</a></div></div>
249 <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 U32 per channel </div></div>
250 <div class="ttc" id="_macros_8h_xhtml_a603cb7f45efd81606e51686da9aeebd9"><div class="ttname"><a href="_macros_8h.xhtml#a603cb7f45efd81606e51686da9aeebd9">TEST_SUITE_END</a></div><div class="ttdeci">#define TEST_SUITE_END()</div><div class="ttdef"><b>Definition:</b> <a href="_macros_8h_source.xhtml#l00039">Macros.h:39</a></div></div>
251 <div class="ttc" id="_n_e_activation_layer_8h_xhtml"><div class="ttname"><a href="_n_e_activation_layer_8h.xhtml">NEActivationLayer.h</a></div></div>
252 <div class="ttc" id="namespacearm__compute_1_1test_xhtml_aab9a2ff74a27ae837d32a79a38952228"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">arm_compute::test::data_types</a></div><div class="ttdeci">const auto data_types</div><div class="ttdef"><b>Definition:</b> <a href="benchmark_2_c_l_2_depthwise_convolution_8cpp_source.xhtml#l00040">DepthwiseConvolution.cpp:40</a></div></div>
253 <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>
254 <div class="ttc" id="_squeeze_net_activation_layer_dataset_8h_xhtml"><div class="ttname"><a href="_squeeze_net_activation_layer_dataset_8h.xhtml">SqueezeNetActivationLayerDataset.h</a></div></div>
255 <div class="ttc" id="_datasets_8h_xhtml"><div class="ttname"><a href="_datasets_8h.xhtml">Datasets.h</a></div></div>
256 <div class="ttc" id="_type_printer_8h_xhtml"><div class="ttname"><a href="_type_printer_8h.xhtml">TypePrinter.h</a></div></div>
257 <div class="ttc" id="namespacearm__compute_1_1test_xhtml_aeded391cb7ec7a44c41eb23544265894"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">arm_compute::test::NEActivationLayerFixture</a></div><div class="ttdeci">ActivationLayerFixture< Tensor, NEActivationLayer, Accessor > NEActivationLayerFixture</div><div class="ttdef"><b>Definition:</b> <a href="benchmark_2_n_e_o_n_2_activation_layer_8cpp_source.xhtml#l00055">ActivationLayer.cpp:55</a></div></div>
258 <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_1_1dataset_xhtml_a6f4fa4bb0583f29e77138fb1e7d77411"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">arm_compute::test::framework::dataset::combine</a></div><div class="ttdeci">CartesianProductDataset< T, U > combine(T &&dataset1, U &&dataset2)</div><div class="ttdoc">Helper function to create a CartesianProductDataset. </div><div class="ttdef"><b>Definition:</b> <a href="_cartesian_product_dataset_8h_source.xhtml#l00157">CartesianProductDataset.h:157</a></div></div>
259 <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>
260 <div class="ttc" id="_macros_8h_xhtml_acd09bed517e43d28823e69494f259835"><div class="ttname"><a href="_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a></div><div class="ttdeci">#define TEST_SUITE(SUITE_NAME)</div><div class="ttdef"><b>Definition:</b> <a href="_macros_8h_source.xhtml#l00034">Macros.h:34</a></div></div>
261 <div class="ttc" id="classarm__compute_1_1test_1_1_activation_layer_fixture_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml">arm_compute::test::ActivationLayerFixture</a></div><div class="ttdoc">Fixture that can be used for NEON and CL. </div><div class="ttdef"><b>Definition:</b> <a href="benchmark_2fixtures_2_activation_layer_fixture_8h_source.xhtml#l00039">ActivationLayerFixture.h:39</a></div></div>
262 <div class="ttc" id="_goog_le_net_inception_v1_activation_layer_dataset_8h_xhtml"><div class="ttname"><a href="_goog_le_net_inception_v1_activation_layer_dataset_8h.xhtml">GoogLeNetInceptionV1ActivationLayerDataset.h</a></div></div>
263 <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>
264 <div class="ttc" id="runtime_2_tensor_8h_xhtml"><div class="ttname"><a href="runtime_2_tensor_8h.xhtml">Tensor.h</a></div></div>
265 <div class="ttc" id="_goog_le_net_inception_v4_activation_layer_dataset_8h_xhtml"><div class="ttname"><a href="_goog_le_net_inception_v4_activation_layer_dataset_8h.xhtml">GoogLeNetInceptionV4ActivationLayerDataset.h</a></div></div>
266 <div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div>
267 </div><!-- fragment --></div><!-- contents -->
268 </div><!-- doc-content -->
269 <!-- start footer part -->
270 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
272 <li class="navelem"><a class="el" href="dir_3b4cc335dce0408d77b688e575522aa5.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_f174311ee6dfc6d6b8b3c124a1c03263.xhtml">benchmark</a></li><li class="navelem"><a class="el" href="dir_a4c6697defa6674c80d081044d63b70a.xhtml">NEON</a></li><li class="navelem"><a class="el" href="benchmark_2_n_e_o_n_2_activation_layer_8cpp.xhtml">ActivationLayer.cpp</a></li>
273 <li class="footer">Generated on Thu Sep 28 2017 14:37:50 for Compute Library by
274 <a href="http://www.doxygen.org/index.html">
275 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6 </li>