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| author | SiCong Li <sicong.li@arm.com> | 2017-08-18 11:58:21 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | cc65bbe73dc4e376108fedb82ce06df983536595 (patch) | |
| tree | 79b3d048ff23d39b48807dff615adf9a68cc5099 /tests/benchmark_new/NEON/ConvolutionLayer.cpp | |
| parent | 1246b63ca04cb067f26ae860688647224d6ba24e (diff) | |
| download | ComputeLibrary-cc65bbe73dc4e376108fedb82ce06df983536595.tar.gz | |
COMPMID-483 Add VGG16 benchmarks
* Add VGG16 benchmarks
* Remove batch size 4 from all precommit benchmarks for FullyConnectedLayer
* Move all batch sizes > 1 to nightly
Change-Id: I80c890f488fa68d672fe66cb5ce7180992a4ec41
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/84477
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/benchmark_new/NEON/ConvolutionLayer.cpp')
| -rw-r--r-- | tests/benchmark_new/NEON/ConvolutionLayer.cpp | 26 |
1 files changed, 16 insertions, 10 deletions
diff --git a/tests/benchmark_new/NEON/ConvolutionLayer.cpp b/tests/benchmark_new/NEON/ConvolutionLayer.cpp index 661463336f..548fe8b8c5 100644 --- a/tests/benchmark_new/NEON/ConvolutionLayer.cpp +++ b/tests/benchmark_new/NEON/ConvolutionLayer.cpp @@ -35,6 +35,7 @@ #include "tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h" #include "tests/datasets_new/system_tests/lenet5/LeNet5ConvolutionLayerDataset.h" #include "tests/datasets_new/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h" +#include "tests/datasets_new/system_tests/vgg/vgg16/VGG16ConvolutionLayerDataset.h" #include "tests/datasets_new/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h" #include "tests/fixtures_new/ConvolutionLayerFixture.h" @@ -57,48 +58,53 @@ TEST_SUITE(NEON) REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", { 1, 4 }))); + framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", { 1, 4 }))); + framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", { 1, 4 }))); + framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", { 1, 4 }))); + framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", { 1, 4 }))); + framework::dataset::make("Batches", 1))); TEST_SUITE(NIGHTLY) REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", 8))); + framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", 8))); + framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", 8))); + framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", 8))); + framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", 8))); + framework::dataset::make("Batches", { 4, 8 }))); + +REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, + framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), data_types), + framework::dataset::make("Batches", { 1, 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", { 1, 4, 8 }))); + TEST_SUITE_END() TEST_SUITE_END() } // namespace test |