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arm_compute v18.05
[platform/upstream/armcl.git] / documentation / benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_batch_normalization_layer_8cpp.xhtml
diff --git a/documentation/benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_batch_normalization_layer_8cpp.xhtml b/documentation/benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_batch_normalization_layer_8cpp.xhtml
index 3e86b11..b610267 100644 (file)
--- a/documentation/benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_batch_normalization_layer_8cpp.xhtml
+++ b/documentation/benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_batch_normalization_layer_8cpp.xhtml
@@ -40,7 +40,7 @@
  <tr style="height: 56px;">
   <td style="padding-left: 0.5em;">
    <div id="projectname">Compute Library
-   &#160;<span id="projectnumber">18.03</span>
+   &#160;<span id="projectnumber">18.05</span>
    </div>
   </td>
  </tr>
@@ -127,13 +127,13 @@ $(document).ready(function(){initNavTree('benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_
 <code>#include &quot;<a class="el" href="_g_c_tensor_allocator_8h_source.xhtml">arm_compute/runtime/GLES_COMPUTE/GCTensorAllocator.h</a>&quot;</code><br />
 <code>#include &quot;<a class="el" href="_g_c_batch_normalization_layer_8h_source.xhtml">arm_compute/runtime/GLES_COMPUTE/functions/GCBatchNormalizationLayer.h</a>&quot;</code><br />
 <code>#include &quot;<a class="el" href="_g_c_accessor_8h_source.xhtml">tests/GLES_COMPUTE/GCAccessor.h</a>&quot;</code><br />
-<code>#include &quot;<a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">tests/benchmark/fixtures/BatchNormalizationLayerFixture.h</a>&quot;</code><br />
-<code>#include &quot;<a class="el" href="_goog_le_net_inception_v4_batch_normalization_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h</a>&quot;</code><br />
-<code>#include &quot;<a class="el" href="_mobile_net_batch_normalization_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/mobilenet/MobileNetBatchNormalizationLayerDataset.h</a>&quot;</code><br />
-<code>#include &quot;<a class="el" href="_y_o_l_o_v2_batch_normalization_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h</a>&quot;</code><br />
+<code>#include &quot;tests/benchmark/fixtures/BatchNormalizationLayerFixture.h&quot;</code><br />
+<code>#include &quot;tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h&quot;</code><br />
+<code>#include &quot;tests/datasets/system_tests/mobilenet/MobileNetBatchNormalizationLayerDataset.h&quot;</code><br />
+<code>#include &quot;tests/datasets/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h&quot;</code><br />
 <code>#include &quot;<a class="el" href="tests_2framework_2_macros_8h_source.xhtml">tests/framework/Macros.h</a>&quot;</code><br />
 <code>#include &quot;<a class="el" href="_datasets_8h_source.xhtml">tests/framework/datasets/Datasets.h</a>&quot;</code><br />
-<code>#include &quot;<a class="el" href="_type_printer_8h_source.xhtml">utils/TypePrinter.h</a>&quot;</code><br />
+<code>#include &quot;<a class="el" href="utils_2_type_printer_8h_source.xhtml">utils/TypePrinter.h</a>&quot;</code><br />
 </div>
 <p><a href="benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_batch_normalization_layer_8cpp_source.xhtml">Go to the source code of this file.</a></p>
 <table class="memberdecls">
@@ -144,26 +144,28 @@ Namespaces</h2></td></tr>
 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="memitem:namespacearm__compute_1_1test_1_1benchmark"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml">arm_compute::test::benchmark</a></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 </table><table class="memberdecls">
 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="typedef-members"></a>
 Typedefs</h2></td></tr>
-<tr class="memitem:a8b4153be3e745d94aa922b3ae6a6d178"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a8b4153be3e745d94aa922b3ae6a6d178">GCBatchNormalizationLayerFixture</a> = BatchNormalizationLayerFixture&lt; GCTensor, GCBatchNormalizationLayer, GCAccessor &gt;</td></tr>
+<tr class="memitem:a8b4153be3e745d94aa922b3ae6a6d178"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b4153be3e745d94aa922b3ae6a6d178">GCBatchNormalizationLayerFixture</a> = BatchNormalizationLayerFixture&lt; GCTensor, GCBatchNormalizationLayer, GCAccessor &gt;</td></tr>
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 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
 Functions</h2></td></tr>
-<tr class="memitem:a8713aee12d13e2e3f89b1ea5c662b64f"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a8713aee12d13e2e3f89b1ea5c662b64f">REGISTER_FIXTURE_DATA_TEST_CASE</a> (MobileNetBatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetBatchNormalizationLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
-<tr class="separator:a8713aee12d13e2e3f89b1ea5c662b64f"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0687cf0782000bf5f2726676da444ccc"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a0687cf0782000bf5f2726676da444ccc">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
-<tr class="separator:a0687cf0782000bf5f2726676da444ccc"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab88ca4e28044c6c018f551649fe815ec"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ab88ca4e28044c6c018f551649fe815ec">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
-<tr class="separator:ab88ca4e28044c6c018f551649fe815ec"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2d81a98a2de6f93e3ffec33ef424d3e2"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a2d81a98a2de6f93e3ffec33ef424d3e2">REGISTER_FIXTURE_DATA_TEST_CASE</a> (MobileNetBatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetBatchNormalizationLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
-<tr class="separator:a2d81a98a2de6f93e3ffec33ef424d3e2"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9724654d353ae754281362d714b2d8f2"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a9724654d353ae754281362d714b2d8f2">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
-<tr class="separator:a9724654d353ae754281362d714b2d8f2"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac05e3e7117b2bd123c0e82a6e095331d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ac05e3e7117b2bd123c0e82a6e095331d">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
-<tr class="separator:ac05e3e7117b2bd123c0e82a6e095331d"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:addafb3f121ebdda92bff3567360ecf89"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#addafb3f121ebdda92bff3567360ecf89">REGISTER_FIXTURE_DATA_TEST_CASE</a> (MobileNetBatchNormalizationLayer, GCBatchNormalizationLayerFixture, 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})), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
+<tr class="separator:addafb3f121ebdda92bff3567360ecf89"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:adddedb04390a77350caa5ef7a58bff75"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#adddedb04390a77350caa5ef7a58bff75">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;,{false, true}), framework::dataset::make(&quot;UseBeta&quot;,{false, true}))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW})), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
+<tr class="separator:adddedb04390a77350caa5ef7a58bff75"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a624f28f50f7b51f6503bbc72203d3a0d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a624f28f50f7b51f6503bbc72203d3a0d">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;,{false, true}), framework::dataset::make(&quot;UseBeta&quot;,{false, true}))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW})), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
+<tr class="separator:a624f28f50f7b51f6503bbc72203d3a0d"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af94fada82b5c45715f12407f6e470c05"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#af94fada82b5c45715f12407f6e470c05">REGISTER_FIXTURE_DATA_TEST_CASE</a> (MobileNetBatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, 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})), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
+<tr class="separator:af94fada82b5c45715f12407f6e470c05"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa92d5308c8422bb31953b2b356acfea0"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#aa92d5308c8422bb31953b2b356acfea0">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;,{false, true}), framework::dataset::make(&quot;UseBeta&quot;,{false, true}))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW})), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
+<tr class="separator:aa92d5308c8422bb31953b2b356acfea0"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a423802225e4d6d058b8d8ae5d17e9ad6"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a423802225e4d6d058b8d8ae5d17e9ad6">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;,{false, true}), framework::dataset::make(&quot;UseBeta&quot;,{false, true}))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW})), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
+<tr class="separator:a423802225e4d6d058b8d8ae5d17e9ad6"><td class="memSeparator" colspan="2">&#160;</td></tr>
 </table>
 </div><!-- contents -->
 </div><!-- doc-content -->
@@ -171,7 +173,7 @@ Functions</h2></td></tr>
 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
   <ul>
     <li class="navelem"><a class="el" href="dir_59425e443f801f1f2fd8bbe4959a3ccf.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_4f2df8950dc650bf7cf9176fae02facc.xhtml">benchmark</a></li><li class="navelem"><a class="el" href="dir_184f72a532a521c8d66e76d860c2010a.xhtml">GLES_COMPUTE</a></li><li class="navelem"><a class="el" href="benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_batch_normalization_layer_8cpp.xhtml">BatchNormalizationLayer.cpp</a></li>
-    <li class="footer">Generated on Fri Mar 2 2018 12:37:56 for Compute Library by
+    <li class="footer">Generated on Wed May 23 2018 11:36:39 for Compute Library by
     <a href="http://www.doxygen.org/index.html">
     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
   </ul>
Domain: Machine Learning / ML Framework;