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<div class="title">BatchNormalizationLayer.cpp File Reference</div> </div>
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-<div class="textblock"><code>#include "<a class="el" href="_tensor_shape_8h_source.xhtml">arm_compute/core/TensorShape.h</a>"</code><br/>
-<code>#include "<a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">arm_compute/core/Types.h</a>"</code><br/>
-<code>#include "<a class="el" href="_n_e_batch_normalization_layer_8h_source.xhtml">arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h</a>"</code><br/>
-<code>#include "<a class="el" href="runtime_2_tensor_8h_source.xhtml">arm_compute/runtime/Tensor.h</a>"</code><br/>
-<code>#include "<a class="el" href="_tensor_allocator_8h_source.xhtml">arm_compute/runtime/TensorAllocator.h</a>"</code><br/>
-<code>#include "<a class="el" href="_accessor_8h_source.xhtml">tests/NEON/Accessor.h</a>"</code><br/>
-<code>#include "<a class="el" href="_macros_8h_source.xhtml">tests/framework/Macros.h</a>"</code><br/>
-<code>#include "<a class="el" href="_datasets_8h_source.xhtml">tests/framework/datasets/Datasets.h</a>"</code><br/>
-<code>#include "<a class="el" href="_type_printer_8h_source.xhtml">utils/TypePrinter.h</a>"</code><br/>
-<code>#include "<a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml">tests/benchmark/fixtures/BatchNormalizationLayerFixture.h</a>"</code><br/>
-<code>#include "<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>"</code><br/>
-<code>#include "<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>"</code><br/>
+<div class="textblock"><code>#include "<a class="el" href="_tensor_shape_8h_source.xhtml">arm_compute/core/TensorShape.h</a>"</code><br />
+<code>#include "<a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">arm_compute/core/Types.h</a>"</code><br />
+<code>#include "<a class="el" href="_n_e_batch_normalization_layer_8h_source.xhtml">arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h</a>"</code><br />
+<code>#include "<a class="el" href="runtime_2_tensor_8h_source.xhtml">arm_compute/runtime/Tensor.h</a>"</code><br />
+<code>#include "<a class="el" href="_tensor_allocator_8h_source.xhtml">arm_compute/runtime/TensorAllocator.h</a>"</code><br />
+<code>#include "<a class="el" href="_accessor_8h_source.xhtml">tests/NEON/Accessor.h</a>"</code><br />
+<code>#include "<a class="el" href="tests_2framework_2_macros_8h_source.xhtml">tests/framework/Macros.h</a>"</code><br />
+<code>#include "<a class="el" href="_datasets_8h_source.xhtml">tests/framework/datasets/Datasets.h</a>"</code><br />
+<code>#include "<a class="el" href="utils_2_type_printer_8h_source.xhtml">utils/TypePrinter.h</a>"</code><br />
+<code>#include "tests/benchmark/fixtures/BatchNormalizationLayerFixture.h"</code><br />
+<code>#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h"</code><br />
+<code>#include "tests/datasets/system_tests/mobilenet/MobileNetBatchNormalizationLayerDataset.h"</code><br />
+<code>#include "tests/datasets/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h"</code><br />
</div>
<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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Typedefs</h2></td></tr>
-<tr class="memitem:ac7369c169e6de526fcb6f68e4a959444"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ac7369c169e6de526fcb6f68e4a959444">NEBatchNormalizationLayerFixture</a> = BatchNormalizationLayerFixture< Tensor, NEBatchNormalizationLayer, Accessor ></td></tr>
+<tr class="memitem:ac7369c169e6de526fcb6f68e4a959444"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#ac7369c169e6de526fcb6f68e4a959444">NEBatchNormalizationLayerFixture</a> = BatchNormalizationLayerFixture< Tensor, NEBatchNormalizationLayer, Accessor ></td></tr>
<tr class="separator:ac7369c169e6de526fcb6f68e4a959444"><td class="memSeparator" colspan="2"> </td></tr>
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Functions</h2></td></tr>
-<tr class="memitem:a9e4dd8377091a877cf271bb34f2ed7da"><td class="memItemLeft" align="right" valign="top"> </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("Batches", 1)))</td></tr>
-<tr class="separator:a9e4dd8377091a877cf271bb34f2ed7da"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:a09be4cd69df94f0929598f03b32001f0"><td class="memItemLeft" align="right" valign="top"> </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("Batches", 1)))</td></tr>
-<tr class="separator:a09be4cd69df94f0929598f03b32001f0"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:aa37f90a45822a6f45002ad5fd1e69560"><td class="memItemLeft" align="right" valign="top"> </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("Batches",{4, 8})))</td></tr>
-<tr class="separator:aa37f90a45822a6f45002ad5fd1e69560"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:aa93e94a58a377d2493868e24d746531b"><td class="memItemLeft" align="right" valign="top"> </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("Batches",{4, 8})))</td></tr>
-<tr class="separator:aa93e94a58a377d2493868e24d746531b"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a0fe586fd89d38199974c3bf27f4e9a77"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a0fe586fd89d38199974c3bf27f4e9a77">REGISTER_FIXTURE_DATA_TEST_CASE</a> (MobileNetBatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma",{false, true}), framework::dataset::make("UseBeta",{false, true}))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("DataLayout",{DataLayout::NCHW})), framework::dataset::make("Batches", 1)))</td></tr>
+<tr class="separator:a0fe586fd89d38199974c3bf27f4e9a77"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a1963d26078b2b9d7a712c6b52f3e7be6"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a1963d26078b2b9d7a712c6b52f3e7be6">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma",{false, true}), framework::dataset::make("UseBeta",{false, true}))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("DataLayout",{DataLayout::NCHW})), framework::dataset::make("Batches", 1)))</td></tr>
+<tr class="separator:a1963d26078b2b9d7a712c6b52f3e7be6"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ac5db4ed58f8d896b5605c1f32086c2b5"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#ac5db4ed58f8d896b5605c1f32086c2b5">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma",{false, true}), framework::dataset::make("UseBeta",{false, true}))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("DataLayout",{DataLayout::NCHW})), framework::dataset::make("Batches", 1)))</td></tr>
+<tr class="separator:ac5db4ed58f8d896b5605c1f32086c2b5"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ab43a2c3cf424a302d7492e7234d261fc"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#ab43a2c3cf424a302d7492e7234d261fc">REGISTER_FIXTURE_DATA_TEST_CASE</a> (MobileNetBatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma",{false, true}), framework::dataset::make("UseBeta",{false, true}))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("DataLayout",{DataLayout::NCHW})), framework::dataset::make("Batches",{4, 8})))</td></tr>
+<tr class="separator:ab43a2c3cf424a302d7492e7234d261fc"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a8e371a7e274a7d8bb218fe37aa6e1c52"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a8e371a7e274a7d8bb218fe37aa6e1c52">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma",{false, true}), framework::dataset::make("UseBeta",{false, true}))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("DataLayout",{DataLayout::NCHW})), framework::dataset::make("Batches",{4, 8})))</td></tr>
+<tr class="separator:a8e371a7e274a7d8bb218fe37aa6e1c52"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a18a430db4351defdba2234fff8d452f0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a18a430db4351defdba2234fff8d452f0">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make("UseGamma",{false, true}), framework::dataset::make("UseBeta",{false, true}))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("DataLayout",{DataLayout::NCHW})), framework::dataset::make("Batches",{4, 8})))</td></tr>
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