45 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC 57 framework::dataset::
combine(framework::dataset::
combine(framework::dataset::
combine(datasets::MobileNetBatchNormalizationLayerDataset(),
60 framework::dataset::
make("Batches", 1)));
62 framework::dataset::
combine(framework::dataset::
combine(framework::dataset::
combine(datasets::YOLOV2BatchNormalizationLayerDataset(),
63 framework::dataset::
make("ActivationInfo", ActivationLayerInfo())),
65 framework::dataset::
make("Batches", 1)));
68 framework::dataset::
combine(framework::dataset::
combine(framework::dataset::
combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(),
69 framework::dataset::
make("ActivationInfo", ActivationLayerInfo())),
71 framework::dataset::
make("Batches", 1)));
75 framework::dataset::
combine(framework::dataset::
combine(framework::dataset::
combine(datasets::MobileNetBatchNormalizationLayerDataset(),
76 framework::dataset::
make("ActivationInfo", ActivationLayerInfo())),
78 framework::dataset::
make("Batches", { 4, 8 })));
Fixture that can be used for NEON and CL.
1 channel, 1 F32 per channel
std::enable_if< is_container< T >::value, ContainerDataset< T > >::type make(std::string name, T &&values)
Helper function to create a ContainerDataset.
Activation Layer Information class.
This file contains all available output stages for GEMMLowp on OpenCL.
1 channel, 1 F16 per channel
#define TEST_SUITE(SUITE_NAME)
DatasetMode
Possible dataset modes.
REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetBatchNormalizationLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make("Batches", 1)))
CartesianProductDataset< T, U > combine(T &&dataset1, U &&dataset2)
Helper function to create a CartesianProductDataset.