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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/NormalizationLayer.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/NormalizationLayer.cpp')
| -rw-r--r-- | tests/benchmark_new/CL/NormalizationLayer.cpp | 21 |
1 files changed, 16 insertions, 5 deletions
diff --git a/tests/benchmark_new/CL/NormalizationLayer.cpp b/tests/benchmark_new/CL/NormalizationLayer.cpp index 7e2380ccc8..d5ae353512 100644 --- a/tests/benchmark_new/CL/NormalizationLayer.cpp +++ b/tests/benchmark_new/CL/NormalizationLayer.cpp @@ -40,7 +40,7 @@ namespace test { namespace { -const auto normalization_layer_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F16, DataType::F32 }); +const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F16, DataType::F32 }); } // namespace using CLNormalizationLayerFixture = NormalizationLayerFixture<CLTensor, CLNormalizationLayer, CLAccessor>; @@ -49,14 +49,25 @@ TEST_SUITE(CL) REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), - normalization_layer_data_types), - framework::dataset::make("Batches", { 1, 4, 8 }))); + data_types), + framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetNormalizationLayerDataset(), - normalization_layer_data_types), - framework::dataset::make("Batches", { 1, 4, 8 }))); + data_types), + framework::dataset::make("Batches", 1))); +TEST_SUITE(NIGHTLY) +REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, + framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), + data_types), + framework::dataset::make("Batches", { 4, 8 }))); + +REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, + framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetNormalizationLayerDataset(), + data_types), + framework::dataset::make("Batches", { 4, 8 }))); +TEST_SUITE_END() TEST_SUITE_END() } // namespace test } // namespace arm_compute |