diff options
Diffstat (limited to 'tests/validation/NEON/ActivationLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/ActivationLayer.cpp | 57 |
1 files changed, 1 insertions, 56 deletions
diff --git a/tests/validation/NEON/ActivationLayer.cpp b/tests/validation/NEON/ActivationLayer.cpp index 868683259c..289ca4870e 100644 --- a/tests/validation/NEON/ActivationLayer.cpp +++ b/tests/validation/NEON/ActivationLayer.cpp @@ -60,10 +60,6 @@ AbsoluteTolerance<float> tolerance(DataType data_type, ActivationLayerInfo::Acti case ActivationLayerInfo::ActivationFunction::TANH: switch(data_type) { - case DataType::QS8: - return AbsoluteTolerance<float>(5.f); - case DataType::QS16: - return AbsoluteTolerance<float>(11.f); case DataType::F16: return AbsoluteTolerance<float>(0.01f); default: @@ -82,8 +78,6 @@ const auto CNNDataTypes = framework::dataset::make("DataType", DataType::F16, #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ DataType::F32, - DataType::QS8, - DataType::QS16, }); /** Input data sets. */ @@ -143,22 +137,16 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data types TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2), // Mismatching fixed point - TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3), - TensorInfo(), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), - ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), - ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), - framework::dataset::make("Expected", { false, true, false, false, true })), + framework::dataset::make("Expected", { false, true, false})), input_info, output_info, act_info, expected) { bool is_valid = bool(NEActivationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), act_info)); @@ -210,49 +198,6 @@ TEST_SUITE_END() template <typename T> using NEActivationLayerFixedPointFixture = ActivationValidationFixedPointFixture<Tensor, Accessor, NEActivationLayer, T>; -TEST_SUITE(FixedPoint) -TEST_SUITE(QS8) -// We test for fixed point precision [3,5] because [1,2] and [6,7] ranges cause -// overflowing issues in most of the transcendentals functions. -FIXTURE_DATA_TEST_CASE(RunTiny, NEActivationLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::TinyShapes(), ActivationDataset), - framework::dataset::make("DataType", - DataType::QS8)), - framework::dataset::make("FractionalBits", 3, 6))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance(_data_type, _function)); -} -FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), ActivationDataset), - framework::dataset::make("DataType", - DataType::QS8)), - framework::dataset::make("FractionalBits", 3, 6))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance(_data_type, _function)); -} -TEST_SUITE_END() - -TEST_SUITE(QS16) -// Testing for fixed point position [1,14) as reciprocal limits the maximum fixed point position to 14 -FIXTURE_DATA_TEST_CASE(RunTiny, NEActivationLayerFixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::TinyShapes(), ActivationDataset), - framework::dataset::make("DataType", - DataType::QS16)), - framework::dataset::make("FractionalBits", 1, 14))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance(_data_type, _function)); -} -FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), ActivationDataset), - framework::dataset::make("DataType", - DataType::QS16)), - framework::dataset::make("FractionalBits", 1, 14))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance(_data_type, _function)); -} -TEST_SUITE_END() -TEST_SUITE_END() - template <typename T> using NEActivationLayerQuantizedFixture = ActivationValidationQuantizedFixture<Tensor, Accessor, NEActivationLayer, T>; |