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 119 <div class="title">BatchNormalizationLayer.cpp File Reference</div>  </div>
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 122 <div class="textblock"><code>#include &quot;<a class="el" href="_tensor_shape_8h_source.xhtml">arm_compute/core/TensorShape.h</a>&quot;</code><br/>
 123 <code>#include &quot;<a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">arm_compute/core/Types.h</a>&quot;</code><br/>
 124 <code>#include &quot;<a class="el" href="_n_e_batch_normalization_layer_8h_source.xhtml">arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h</a>&quot;</code><br/>
 125 <code>#include &quot;<a class="el" href="runtime_2_tensor_8h_source.xhtml">arm_compute/runtime/Tensor.h</a>&quot;</code><br/>
 126 <code>#include &quot;<a class="el" href="_tensor_allocator_8h_source.xhtml">arm_compute/runtime/TensorAllocator.h</a>&quot;</code><br/>
 127 <code>#include &quot;<a class="el" href="_accessor_8h_source.xhtml">tests/NEON/Accessor.h</a>&quot;</code><br/>
 128 <code>#include &quot;<a class="el" href="_macros_8h_source.xhtml">tests/framework/Macros.h</a>&quot;</code><br/>
 129 <code>#include &quot;<a class="el" href="_datasets_8h_source.xhtml">tests/framework/datasets/Datasets.h</a>&quot;</code><br/>
 130 <code>#include &quot;<a class="el" href="_type_printer_8h_source.xhtml">utils/TypePrinter.h</a>&quot;</code><br/>
 131 <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/>
 132 <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/>
 133 <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/>
 134 </div>
 135 <p><a href="benchmark_2_n_e_o_n_2_batch_normalization_layer_8cpp_source.xhtml">Go to the source code of this file.</a></p>
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 137 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="namespaces"></a>
 138 Namespaces</h2></td></tr>
 139 <tr class="memitem:namespacearm__compute"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml">arm_compute</a></td></tr>
 140 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 141 <tr class="memitem:namespacearm__compute_1_1test"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml">arm_compute::test</a></td></tr>
 142 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 143 </table><table class="memberdecls">
 144 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="typedef-members"></a>
 145 Typedefs</h2></td></tr>
 146 <tr class="memitem:ac7369c169e6de526fcb6f68e4a959444"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ac7369c169e6de526fcb6f68e4a959444">NEBatchNormalizationLayerFixture</a> = BatchNormalizationLayerFixture&lt; Tensor, NEBatchNormalizationLayer, Accessor &gt;</td></tr>
 147 <tr class="separator:ac7369c169e6de526fcb6f68e4a959444"><td class="memSeparator" colspan="2">&#160;</td></tr>
 148 </table><table class="memberdecls">
 149 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
 150 Functions</h2></td></tr>
 151 <tr class="memitem:a9e4dd8377091a877cf271bb34f2ed7da"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a9e4dd8377091a877cf271bb34f2ed7da">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
 152 <tr class="separator:a9e4dd8377091a877cf271bb34f2ed7da"><td class="memSeparator" colspan="2">&#160;</td></tr>
 153 <tr class="memitem:a09be4cd69df94f0929598f03b32001f0"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a09be4cd69df94f0929598f03b32001f0">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
 154 <tr class="separator:a09be4cd69df94f0929598f03b32001f0"><td class="memSeparator" colspan="2">&#160;</td></tr>
 155 <tr class="memitem:aa37f90a45822a6f45002ad5fd1e69560"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aa37f90a45822a6f45002ad5fd1e69560">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
 156 <tr class="separator:aa37f90a45822a6f45002ad5fd1e69560"><td class="memSeparator" colspan="2">&#160;</td></tr>
 157 <tr class="memitem:aa93e94a58a377d2493868e24d746531b"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aa93e94a58a377d2493868e24d746531b">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
 158 <tr class="separator:aa93e94a58a377d2493868e24d746531b"><td class="memSeparator" colspan="2">&#160;</td></tr>
 159 </table>
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