diff options
Diffstat (limited to 'tests/validation/NEON')
-rw-r--r-- | tests/validation/NEON/ActivationLayer.cpp | 5 | ||||
-rw-r--r-- | tests/validation/NEON/ConvolutionLayer.cpp | 21 |
2 files changed, 16 insertions, 10 deletions
diff --git a/tests/validation/NEON/ActivationLayer.cpp b/tests/validation/NEON/ActivationLayer.cpp index e77fe5a295..868683259c 100644 --- a/tests/validation/NEON/ActivationLayer.cpp +++ b/tests/validation/NEON/ActivationLayer.cpp @@ -193,12 +193,13 @@ TEST_SUITE_END() TEST_SUITE(FP32) FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make("DataType", DataType::F32))) + { // Validate output validate(Accessor(_target), _reference, tolerance(_data_type, _function)); } -FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make("DataType", - DataType::F32))) +FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), + framework::dataset::make("DataType", DataType::F32))) { // Validate output validate(Accessor(_target), _reference, tolerance(_data_type, _function)); diff --git a/tests/validation/NEON/ConvolutionLayer.cpp b/tests/validation/NEON/ConvolutionLayer.cpp index b286eb61b6..2c17487107 100644 --- a/tests/validation/NEON/ConvolutionLayer.cpp +++ b/tests/validation/NEON/ConvolutionLayer.cpp @@ -121,21 +121,26 @@ template <typename T> using NEWinogradConvolutionLayerNoBiasFixture = WinogradConvolutionLayerFastMathValidationFixture<Tensor, Accessor, NEWinogradConvolutionLayer, T, false>; TEST_SUITE(FP32) + FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, - combine(combine(framework::dataset::concat(datasets::SmallWinogradConvolutionLayer3x3Dataset(), - datasets::SmallWinogradConvolutionLayer5x5Dataset()), - framework::dataset::make("DataType", { DataType::F32 })), - ActivationFunctionsDataset)) + combine(combine(combine(framework::dataset::concat(datasets::SmallWinogradConvolutionLayer3x3Dataset(), + datasets::SmallWinogradConvolutionLayer5x5Dataset()), + framework::dataset::make("DataType", { DataType::F32 })), + ActivationFunctionsDataset), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) + { // Validate output validate(Accessor(_target), _reference, abs_tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunSmallNoBias, NEWinogradConvolutionLayerNoBiasFixture<float>, framework::DatasetMode::PRECOMMIT, - combine(combine(framework::dataset::concat(datasets::SmallWinogradConvolutionLayer3x3Dataset(), - datasets::SmallWinogradConvolutionLayer5x5Dataset()), - framework::dataset::make("DataType", { DataType::F32 })), - ActivationFunctionsDataset)) + combine(combine(combine(framework::dataset::concat(datasets::SmallWinogradConvolutionLayer3x3Dataset(), + datasets::SmallWinogradConvolutionLayer5x5Dataset()), + framework::dataset::make("DataType", { DataType::F32 })), + ActivationFunctionsDataset), + + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) { // Validate output validate(Accessor(_target), _reference, abs_tolerance_f32); |