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Diffstat (limited to 'tests/benchmark_new/CL/DirectConvolutionLayer.cpp')
-rw-r--r--tests/benchmark_new/CL/DirectConvolutionLayer.cpp39
1 files changed, 33 insertions, 6 deletions
diff --git a/tests/benchmark_new/CL/DirectConvolutionLayer.cpp b/tests/benchmark_new/CL/DirectConvolutionLayer.cpp
index 5a4536ceef..82e5ef19ad 100644
--- a/tests/benchmark_new/CL/DirectConvolutionLayer.cpp
+++ b/tests/benchmark_new/CL/DirectConvolutionLayer.cpp
@@ -33,31 +33,58 @@
#include "tests/datasets_new/AlexNetConvolutionLayerDataset.h"
#include "tests/datasets_new/GoogLeNetConvolutionLayerDataset.h"
#include "tests/datasets_new/SqueezeNetConvolutionLayerDataset.h"
+#include "tests/datasets_new/YOLOV2ConvolutionLayerDataset.h"
#include "tests/fixtures_new/ConvolutionLayerFixture.h"
namespace arm_compute
{
namespace test
{
+namespace
+{
+const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 });
+} // namespace
+
using CLConvolutionLayerFixture = ConvolutionLayerFixture<CLTensor, CLDirectConvolutionLayer, CLAccessor>;
TEST_SUITE(CL)
REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(),
- framework::dataset::make("DataType", { DataType::F32 })),
- framework::dataset::make("Batches", { 1, 4, 8 })));
+ data_types),
+ framework::dataset::make("Batches", { 1, 4 })));
REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetDirectConvolutionLayerDataset(),
- framework::dataset::make("DataType", DataType::F32)),
- framework::dataset::make("Batches", { 1, 4, 8 })));
+ data_types),
+ framework::dataset::make("Batches", { 1, 4 })));
REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
- framework::dataset::make("DataType", DataType::F32)),
- framework::dataset::make("Batches", { 1, 4, 8 })));
+ data_types),
+ framework::dataset::make("Batches", { 1, 4 })));
+
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+ framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(),
+ data_types),
+ framework::dataset::make("Batches", 8)));
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+ framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetDirectConvolutionLayerDataset(),
+ data_types),
+ framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+ framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
+ data_types),
+ framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, CLConvolutionLayerFixture, 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
} // namespace arm_compute