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<a href="benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_batch_normalization_layer_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITCLSS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONCLCTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_g_c_tensor_8h.xhtml">arm_compute/runtime/GLES_COMPUTE/GCTensor.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_g_c_tensor_allocator_8h.xhtml">arm_compute/runtime/GLES_COMPUTE/GCTensorAllocator.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_g_c_batch_normalization_layer_8h.xhtml">arm_compute/runtime/GLES_COMPUTE/functions/GCBatchNormalizationLayer.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_g_c_accessor_8h.xhtml">tests/GLES_COMPUTE/GCAccessor.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;tests/benchmark/fixtures/BatchNormalizationLayerFixture.h&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/system_tests/mobilenet/MobileNetBatchNormalizationLayerDataset.h&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2framework_2_macros_8h.xhtml">tests/framework/Macros.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_datasets_8h.xhtml">tests/framework/datasets/Datasets.h</a>&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="utils_2_type_printer_8h.xhtml">utils/TypePrinter.h</a>&quot;</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;{</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;{</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="keyword">namespace </span>benchmark</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;{</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;{</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> <a class="code" href="namespacearm__compute_1_1test_1_1benchmark.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">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> });</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;} <span class="comment">// namespace</span></div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b4153be3e745d94aa922b3ae6a6d178">   49</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b4153be3e745d94aa922b3ae6a6d178">GCBatchNormalizationLayerFixture</a> = BatchNormalizationLayerFixture&lt;GCTensor, GCBatchNormalizationLayer, GCAccessor&gt;;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(GC)</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a544fd26c293d1af74453a3957473072c">REGISTER_FIXTURE_DATA_TEST_CASE</a>(MobileNetBatchNormalizationLayer, <a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b4153be3e745d94aa922b3ae6a6d178">GCBatchNormalizationLayerFixture</a>, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(datasets::MobileNetBatchNormalizationLayerDataset(),</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;                                                                        <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#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;UseGamma&quot;, { <span class="keyword">false</span>, <span class="keyword">true</span> }),</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;                                                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;UseBeta&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> }))),</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;                                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ActivationInfo&quot;</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#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationLayerInfo::ActivationFunction::BOUNDED_RELU</a>, 6.f))),</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;                                                        <a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>),</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> })),</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;                                        <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Batches&quot;</span>, 1)));</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a544fd26c293d1af74453a3957473072c">REGISTER_FIXTURE_DATA_TEST_CASE</a>(YOLOV2BatchNormalizationLayer, <a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b4153be3e745d94aa922b3ae6a6d178">GCBatchNormalizationLayerFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>,</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(datasets::YOLOV2BatchNormalizationLayerDataset(),</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;                                                                        <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;UseGamma&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> }),</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;                                                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;UseBeta&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> }))),</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;                                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ActivationInfo&quot;</span>, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>())),</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;                                                        <a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>),</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> })),</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;                                        <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Batches&quot;</span>, 1)));</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a544fd26c293d1af74453a3957473072c">REGISTER_FIXTURE_DATA_TEST_CASE</a>(GoogLeNetInceptionV4BatchNormalizationLayer, <a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b4153be3e745d94aa922b3ae6a6d178">GCBatchNormalizationLayerFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>,</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(),</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;                                                                        <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;UseGamma&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> }),</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;                                                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;UseBeta&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> }))),</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;                                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ActivationInfo&quot;</span>, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>())),</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;                                                        <a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>),</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> })),</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;                                        <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Batches&quot;</span>, 1)));</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(NIGHTLY)</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a544fd26c293d1af74453a3957473072c">REGISTER_FIXTURE_DATA_TEST_CASE</a>(MobileNetBatchNormalizationLayer, <a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b4153be3e745d94aa922b3ae6a6d178">GCBatchNormalizationLayerFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(datasets::MobileNetBatchNormalizationLayerDataset(),</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;                                                                        <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;UseGamma&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> }),</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;                                                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;UseBeta&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> }))),</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;                                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ActivationInfo&quot;</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#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationLayerInfo::ActivationFunction::BOUNDED_RELU</a>, 6.f))),</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;                                                        <a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>),</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> })),</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;                                        <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Batches&quot;</span>, { 4, 8 })));</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a544fd26c293d1af74453a3957473072c">REGISTER_FIXTURE_DATA_TEST_CASE</a>(YOLOV2BatchNormalizationLayer, <a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b4153be3e745d94aa922b3ae6a6d178">GCBatchNormalizationLayerFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(datasets::YOLOV2BatchNormalizationLayerDataset(),</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;                                                                        <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;UseGamma&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> }),</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;                                                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;UseBeta&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> }))),</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;                                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ActivationInfo&quot;</span>, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>())),</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;                                                        <a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>),</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> })),</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;                                        <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Batches&quot;</span>, { 4, 8 })));</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a544fd26c293d1af74453a3957473072c">REGISTER_FIXTURE_DATA_TEST_CASE</a>(GoogLeNetInceptionV4BatchNormalizationLayer, <a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b4153be3e745d94aa922b3ae6a6d178">GCBatchNormalizationLayerFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(),</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;                                                                        <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;UseGamma&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> }),</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;                                                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;UseBeta&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> }))),</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;                                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ActivationInfo&quot;</span>, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>())),</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;                                                        <a class="code" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>),</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> })),</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;                                        <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Batches&quot;</span>, { 4, 8 })));</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#a603cb7f45efd81606e51686da9aeebd9">TEST_SUITE_END</a>()</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#a603cb7f45efd81606e51686da9aeebd9">TEST_SUITE_END</a>()</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;} <span class="comment">// namespace benchmark</span></div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="namespacearm__compute_1_1test_1_1benchmark_xhtml_aab9a2ff74a27ae837d32a79a38952228"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1benchmark.xhtml#aab9a2ff74a27ae837d32a79a38952228">arm_compute::test::benchmark::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_layer_8cpp_source.xhtml#l00042">DepthwiseConvolutionLayer.cpp:42</a></div></div>
 121 <div class="ttc" id="_g_c_batch_normalization_layer_8h_xhtml"><div class="ttname"><a href="_g_c_batch_normalization_layer_8h.xhtml">GCBatchNormalizationLayer.h</a></div></div>
 122 <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>
 123 <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_1_1dataset_xhtml_a352791fb808d42a82ad70df5efa3508b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">arm_compute::test::framework::dataset::make</a></div><div class="ttdeci">std::enable_if&lt; is_container&lt; T &gt;::value, ContainerDataset&lt; T &gt; &gt;::type make(std::string name, T &amp;&amp;values)</div><div class="ttdoc">Helper function to create a ContainerDataset. </div><div class="ttdef"><b>Definition:</b> <a href="_container_dataset_8h_source.xhtml#l00160">ContainerDataset.h:160</a></div></div>
 124 <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#l00809">Types.h:809</a></div></div>
 125 <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
 126 <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>
 127 <div class="ttc" id="_g_c_accessor_8h_xhtml"><div class="ttname"><a href="_g_c_accessor_8h.xhtml">GCAccessor.h</a></div></div>
 128 <div class="ttc" id="tests_2framework_2_macros_8h_xhtml_acd09bed517e43d28823e69494f259835"><div class="ttname"><a href="tests_2framework_2_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="tests_2framework_2_macros_8h_source.xhtml#l00034">Macros.h:34</a></div></div>
 129 <div class="ttc" id="namespacearm__compute_1_1test_1_1benchmark_xhtml_a8b4153be3e745d94aa922b3ae6a6d178"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b4153be3e745d94aa922b3ae6a6d178">arm_compute::test::benchmark::GCBatchNormalizationLayerFixture</a></div><div class="ttdeci">BatchNormalizationLayerFixture&lt; GCTensor, GCBatchNormalizationLayer, GCAccessor &gt; GCBatchNormalizationLayerFixture</div><div class="ttdef"><b>Definition:</b> <a href="benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_batch_normalization_layer_8cpp_source.xhtml#l00049">BatchNormalizationLayer.cpp:49</a></div></div>
 130 <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>
 131 <div class="ttc" id="_datasets_8h_xhtml"><div class="ttname"><a href="_datasets_8h.xhtml">Datasets.h</a></div></div>
 132 <div class="ttc" id="utils_2_type_printer_8h_xhtml"><div class="ttname"><a href="utils_2_type_printer_8h.xhtml">TypePrinter.h</a></div></div>
 133 <div class="ttc" id="namespacearm__compute_1_1test_1_1benchmark_xhtml_a544fd26c293d1af74453a3957473072c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a544fd26c293d1af74453a3957473072c">arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE</a></div><div class="ttdeci">REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;,{false, true}), framework::dataset::make(&quot;UseBeta&quot;,{false, true}))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW, DataLayout::NHWC})), framework::dataset::make(&quot;Batches&quot;, 1)))</div></div>
 134 <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>
 135 <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&lt; T, U &gt; combine(T &amp;&amp;dataset1, U &amp;&amp;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#l00180">CartesianProductDataset.h:180</a></div></div>
 136 <div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">arm_compute::DataLayout::NCHW</a></div><div class="ttdoc">Num samples, channels, height, width. </div></div>
 137 <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>
 138 <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">arm_compute::ActivationLayerInfo::ActivationFunction::BOUNDED_RELU</a></div><div class="ttdoc">Upper Bounded Rectifier (  ) </div></div>
 139 <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>
 140 <div class="ttc" id="_g_c_tensor_allocator_8h_xhtml"><div class="ttname"><a href="_g_c_tensor_allocator_8h.xhtml">GCTensorAllocator.h</a></div></div>
 141 <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>
 142 <div class="ttc" id="_g_c_tensor_8h_xhtml"><div class="ttname"><a href="_g_c_tensor_8h.xhtml">GCTensor.h</a></div></div>
 143 <div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div>
 144 <div class="ttc" id="tests_2framework_2_macros_8h_xhtml_a603cb7f45efd81606e51686da9aeebd9"><div class="ttname"><a href="tests_2framework_2_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="tests_2framework_2_macros_8h_source.xhtml#l00039">Macros.h:39</a></div></div>
 145 </div><!-- fragment --></div><!-- contents -->
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