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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/DirectConvolutionLayer.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/DirectConvolutionLayer.cpp')
-rw-r--r-- | tests/benchmark_new/NEON/DirectConvolutionLayer.cpp | 22 |
1 files changed, 14 insertions, 8 deletions
diff --git a/tests/benchmark_new/NEON/DirectConvolutionLayer.cpp b/tests/benchmark_new/NEON/DirectConvolutionLayer.cpp index a9898e7f96..1233b0cd1d 100644 --- a/tests/benchmark_new/NEON/DirectConvolutionLayer.cpp +++ b/tests/benchmark_new/NEON/DirectConvolutionLayer.cpp @@ -35,6 +35,7 @@ #include "tests/datasets_new/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h" #include "tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.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" @@ -57,40 +58,45 @@ TEST_SUITE(NEON) REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", { 1, 4 }))); + framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", { 1, 4 }))); + framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", { 1, 4 }))); + framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, 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(AlexNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", 8))); + framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", 8))); + framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", 8))); + framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, 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(VGG16DirectConvolutionLayer, 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(YOLOV2DirectConvolutionLayer, 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 |