aboutsummaryrefslogtreecommitdiff
path: root/tests/validation/NEON
diff options
context:
space:
mode:
Diffstat (limited to 'tests/validation/NEON')
-rw-r--r--tests/validation/NEON/ActivationLayer.cpp5
-rw-r--r--tests/validation/NEON/ConvolutionLayer.cpp21
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);