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| <div class="title">ConvolutionLayer.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="_c_l_tensor_8h_source.xhtml">arm_compute/runtime/CL/CLTensor.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_c_l_tensor_allocator_8h_source.xhtml">arm_compute/runtime/CL/CLTensorAllocator.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_c_l_g_e_m_m_convolution_layer_8h_source.xhtml">arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_c_l_winograd_convolution_layer_8h_source.xhtml">arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_c_l_accessor_8h_source.xhtml">tests/CL/CLAccessor.h</a>"</code><br /> |
| <code>#include "tests/benchmark/fixtures/ConvolutionLayerFixture.h"</code><br /> |
| <code>#include "tests/benchmark/fixtures/FFTConvolutionLayerFixture.h"</code><br /> |
| <code>#include "tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h"</code><br /> |
| <code>#include "tests/datasets/system_tests/alexnet/AlexNetConvolutionLayerDataset.h"</code><br /> |
| <code>#include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h"</code><br /> |
| <code>#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h"</code><br /> |
| <code>#include "tests/datasets/system_tests/lenet5/LeNet5ConvolutionLayerDataset.h"</code><br /> |
| <code>#include "tests/datasets/system_tests/mobilenet/MobileNetConvolutionLayerDataset.h"</code><br /> |
| <code>#include "tests/datasets/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h"</code><br /> |
| <code>#include "tests/datasets/system_tests/vgg/vgg16/VGG16ConvolutionLayerDataset.h"</code><br /> |
| <code>#include "tests/datasets/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h"</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 <<a class="el" href="_c_l_f_f_t_convolution_layer_8h_source.xhtml">arm_compute/runtime/CL/functions/CLFFTConvolutionLayer.h</a>></code><br /> |
| <code>#include <tests/datasets/SmallConvolutionLayerDataset.h></code><br /> |
| <code>#include <tests/datasets/system_tests/resnet12/ResNet12ConvolutionLayerDataset.h></code><br /> |
| </div> |
| <p><a href="benchmark_2_c_l_2_convolution_layer_8cpp_source.xhtml">Go to the source code of this file.</a></p> |
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| <tr class="memitem:namespacearm__compute_1_1test_1_1benchmark"><td class="memItemLeft" align="right" valign="top">  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml">arm_compute::test::benchmark</a></td></tr> |
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| Typedefs</h2></td></tr> |
| <tr class="memitem:a834ff3152a662fff46917ed60519aaae"><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#a834ff3152a662fff46917ed60519aaae">CLGEMMConvolutionLayerFixture</a> = ConvolutionLayerFixture< CLTensor, CLGEMMConvolutionLayer, CLAccessor ></td></tr> |
| <tr class="separator:a834ff3152a662fff46917ed60519aaae"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5d95b818519b5889e077646206bf30f8"><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#a5d95b818519b5889e077646206bf30f8">CLWinogradLayerFixture</a> = WinogradConvolutionLayerFixture< CLTensor, CLWinogradConvolutionLayer, CLAccessor ></td></tr> |
| <tr class="separator:a5d95b818519b5889e077646206bf30f8"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a22fb86f77a20d298ea600a2d24713c5e"><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#a22fb86f77a20d298ea600a2d24713c5e">CLFFTConvolutionLayerFixture</a> = FFTConvolutionLayerFixture< CLTensor, CLFFTConvolutionLayer, CLAccessor ></td></tr> |
| <tr class="separator:a22fb86f77a20d298ea600a2d24713c5e"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> |
| Functions</h2></td></tr> |
| <tr class="memitem:a8dab429067a52460b5ccf7e8b6446049"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a8dab429067a52460b5ccf7e8b6446049">REGISTER_FIXTURE_DATA_TEST_CASE</a> (ResNet12FFTLayer, CLFFTConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::ResNet12FFTConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make("DataType", { DataType::F32 })), framework::dataset::make("Batches", 1)))</td></tr> |
| <tr class="separator:a8dab429067a52460b5ccf7e8b6446049"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9417b987aac4f6d77fe0108abd72995f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a9417b987aac4f6d77fe0108abd72995f">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", 1)))</td></tr> |
| <tr class="separator:a9417b987aac4f6d77fe0108abd72995f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a973ba17f360be01d2e090f8170198171"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a973ba17f360be01d2e090f8170198171">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1WinogradLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", 1)))</td></tr> |
| <tr class="separator:a973ba17f360be01d2e090f8170198171"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a01fb0312846c8e57522e1541901b7c0c"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a01fb0312846c8e57522e1541901b7c0c">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4WinogradLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", 1)))</td></tr> |
| <tr class="separator:a01fb0312846c8e57522e1541901b7c0c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:afdc916bf4504c6af319b2cfcb7845c2b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#afdc916bf4504c6af319b2cfcb7845c2b">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetWinogradLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", 1)))</td></tr> |
| <tr class="separator:afdc916bf4504c6af319b2cfcb7845c2b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:afacf77d173154bfb7ab8fcacb95941b2"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#afacf77d173154bfb7ab8fcacb95941b2">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))</td></tr> |
| <tr class="separator:afacf77d173154bfb7ab8fcacb95941b2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5dae5a6368d157c789be6341c2b07f56"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a5dae5a6368d157c789be6341c2b07f56">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", 1)))</td></tr> |
| <tr class="separator:a5dae5a6368d157c789be6341c2b07f56"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8aabacf89d78613a6bc23acb31b1cda2"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a8aabacf89d78613a6bc23acb31b1cda2">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))</td></tr> |
| <tr class="separator:a8aabacf89d78613a6bc23acb31b1cda2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae54757aa5a1c17aa54e07e6870583c6b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#ae54757aa5a1c17aa54e07e6870583c6b">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", 1)))</td></tr> |
| <tr class="separator:ae54757aa5a1c17aa54e07e6870583c6b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a2aed5930b7e89685d562842c50cd1522"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a2aed5930b7e89685d562842c50cd1522">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))</td></tr> |
| <tr class="separator:a2aed5930b7e89685d562842c50cd1522"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:acc33a8b2bd22f6e932d743e73d45ae22"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#acc33a8b2bd22f6e932d743e73d45ae22">REGISTER_FIXTURE_DATA_TEST_CASE</a> (MobileNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", 1)))</td></tr> |
| <tr class="separator:acc33a8b2bd22f6e932d743e73d45ae22"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a41c9e0bb6ed93f1d6cf0ed832ad3f6cb"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a41c9e0bb6ed93f1d6cf0ed832ad3f6cb">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))</td></tr> |
| <tr class="separator:a41c9e0bb6ed93f1d6cf0ed832ad3f6cb"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9a68b51ca8c47f73e53a2784caec578f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a68b51ca8c47f73e53a2784caec578f">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 4, 8 })))</td></tr> |
| <tr class="separator:a9a68b51ca8c47f73e53a2784caec578f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a026ba76d826a3808560aecf0c0862ef6"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a026ba76d826a3808560aecf0c0862ef6">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))</td></tr> |
| <tr class="separator:a026ba76d826a3808560aecf0c0862ef6"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0af44d42b10be152a26535c7d656fe7e"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a0af44d42b10be152a26535c7d656fe7e">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 4, 8 })))</td></tr> |
| <tr class="separator:a0af44d42b10be152a26535c7d656fe7e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:abde1c68457adfe37e1782ed24ae738ef"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#abde1c68457adfe37e1782ed24ae738ef">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 4, 8 })))</td></tr> |
| <tr class="separator:abde1c68457adfe37e1782ed24ae738ef"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a023437471ee7946587c06790482d4e57"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a023437471ee7946587c06790482d4e57">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make("Batches", { 1, 4 })))</td></tr> |
| <tr class="separator:a023437471ee7946587c06790482d4e57"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a91419c0af2990af4a2a0345bad857b0e"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a91419c0af2990af4a2a0345bad857b0e">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 1, 4, 8 })))</td></tr> |
| <tr class="separator:a91419c0af2990af4a2a0345bad857b0e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af872c90c8899feafedfec2f3e13a6e51"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#af872c90c8899feafedfec2f3e13a6e51">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", { 4, 8 })))</td></tr> |
| <tr class="separator:af872c90c8899feafedfec2f3e13a6e51"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac1c0404c57964d104f14ade5aff5a1ba"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#ac1c0404c57964d104f14ade5aff5a1ba">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1WinogradLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", { 4, 8 })))</td></tr> |
| <tr class="separator:ac1c0404c57964d104f14ade5aff5a1ba"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a1fdc6b13682f64eb954a4d4843d1f0db"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#a1fdc6b13682f64eb954a4d4843d1f0db">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4WinogradLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", { 4, 8 })))</td></tr> |
| <tr class="separator:a1fdc6b13682f64eb954a4d4843d1f0db"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aed82491d6fe02b439aa52f565c2cd749"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1benchmark.xhtml#aed82491d6fe02b439aa52f565c2cd749">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetWinogradLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", { 4, 8 })))</td></tr> |
| <tr class="separator:aed82491d6fe02b439aa52f565c2cd749"><td class="memSeparator" colspan="2"> </td></tr> |
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