diff options
Diffstat (limited to 'tests/benchmark_new/NEON/ConvolutionLayer.cpp')
-rw-r--r-- | tests/benchmark_new/NEON/ConvolutionLayer.cpp | 16 |
1 files changed, 6 insertions, 10 deletions
diff --git a/tests/benchmark_new/NEON/ConvolutionLayer.cpp b/tests/benchmark_new/NEON/ConvolutionLayer.cpp index 7406180e95..c7ffc23729 100644 --- a/tests/benchmark_new/NEON/ConvolutionLayer.cpp +++ b/tests/benchmark_new/NEON/ConvolutionLayer.cpp @@ -43,13 +43,9 @@ namespace test namespace { #ifdef ARM_COMPUTE_ENABLE_FP16 -const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 }); -const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); -const auto squeezenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); +const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 }); #else /* ARM_COMPUTE_ENABLE_FP16 */ -const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 }); -const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F32 }); -const auto squeezenet_data_types = framework::dataset::make("DataType", { DataType::F32 }); +const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 }); #endif /* ARM_COMPUTE_ENABLE_FP16 */ } // namespace @@ -58,19 +54,19 @@ using NEConvolutionLayerFixture = ConvolutionLayerFixture<Tensor, NEConvolutionL TEST_SUITE(NEON) REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), alexnet_data_types), + framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", { 1, 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), lenet_data_types), + framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", { 1, 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetConvolutionLayerDataset(), lenet_data_types), + framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", { 1, 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), squeezenet_data_types), + framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", { 1, 4, 8 }))); TEST_SUITE_END() |