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| author | SiCong Li <sicong.li@arm.com> | 2017-07-27 17:58:52 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | 1e5c1575fd7d86344b96988c86b82b66584460c8 (patch) | |
| tree | ad263662d71ad70bdf01c25f88876f87ce38c919 /tests/benchmark_new/CL/ActivationLayer.cpp | |
| parent | 0c9a8fdb88bfff9f2a7c4d00cb88b6519dd02f1b (diff) | |
| download | ComputeLibrary-1e5c1575fd7d86344b96988c86b82b66584460c8.tar.gz | |
COMPMID-450 Add YOLOV2 benchmark tests
* Migrate BatchNormalizationLayer to new benchmark system.
* Add YOLOV2 benchmark tests.
* Fix F16 type issue in activation_layer cl kernel.
* Separate precommit tests from nightly tests.
Change-Id: I3f206e3f7469be6749d630ede8dcc9fb399de8b0
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/81582
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/benchmark_new/CL/ActivationLayer.cpp')
| -rw-r--r-- | tests/benchmark_new/CL/ActivationLayer.cpp | 59 |
1 files changed, 50 insertions, 9 deletions
diff --git a/tests/benchmark_new/CL/ActivationLayer.cpp b/tests/benchmark_new/CL/ActivationLayer.cpp index bf7b36a9e1..bb0bf3ea2a 100644 --- a/tests/benchmark_new/CL/ActivationLayer.cpp +++ b/tests/benchmark_new/CL/ActivationLayer.cpp @@ -30,37 +30,78 @@ #include "framework/datasets/Datasets.h" #include "tests/CL/CLAccessor.h" #include "tests/TypePrinter.h" -#include "tests/datasets_new/ActivationLayerDataset.h" +#include "tests/datasets_new/AlexNetActivationLayerDataset.h" +#include "tests/datasets_new/GoogLeNetActivationLayerDataset.h" +#include "tests/datasets_new/LeNet5ActivationLayerDataset.h" +#include "tests/datasets_new/SqueezeNetActivationLayerDataset.h" +#include "tests/datasets_new/YOLOV2ActivationLayerDataset.h" #include "tests/fixtures_new/ActivationLayerFixture.h" namespace arm_compute { namespace test { +namespace +{ +const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 }); +} // namespace + using CLActivationLayerFixture = ActivationLayerFixture<CLTensor, CLActivationLayer, CLAccessor>; TEST_SUITE(CL) REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), - framework::dataset::make("DataType", DataType::F32)), - framework::dataset::make("Batches", { 1, 4, 8 }))); + data_types), + framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), - framework::dataset::make("DataType", DataType::F32)), - framework::dataset::make("Batches", { 1, 4, 8 }))); + data_types), + framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetActivationLayerDataset(), - framework::dataset::make("DataType", DataType::F32)), - framework::dataset::make("Batches", { 1, 4, 8 }))); + data_types), + framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), - framework::dataset::make("DataType", DataType::F32)), - framework::dataset::make("Batches", { 1, 4, 8 }))); + data_types), + framework::dataset::make("Batches", 1))); + +REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL, + framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), + data_types), + framework::dataset::make("Batches", 1))); + +TEST_SUITE(NIGHTLY) +REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY, + framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), + data_types), + framework::dataset::make("Batches", { 4, 8 }))); + +REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY, + framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), + data_types), + framework::dataset::make("Batches", { 4, 8 }))); +REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY, + framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetActivationLayerDataset(), + data_types), + framework::dataset::make("Batches", { 4, 8 }))); + +REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY, + framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), + data_types), + framework::dataset::make("Batches", { 4, 8 }))); + +REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY, + framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), + data_types), + framework::dataset::make("Batches", { 4, 8 }))); + +TEST_SUITE_END() TEST_SUITE_END() } // namespace test } // namespace arm_compute |