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-rw-r--r--tests/validation/NEON/ConvolutionLayer.cpp83
1 files changed, 81 insertions, 2 deletions
diff --git a/tests/validation/NEON/ConvolutionLayer.cpp b/tests/validation/NEON/ConvolutionLayer.cpp
index 18072e0532..591af7b731 100644
--- a/tests/validation/NEON/ConvolutionLayer.cpp
+++ b/tests/validation/NEON/ConvolutionLayer.cpp
@@ -121,18 +121,97 @@ using NEWinogradConvolutionLayerNoBiasFixture = WinogradConvolutionLayerFastMath
TEST_SUITE(FP32)
+TEST_SUITE(Conv1x3)
FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
- combine(combine(combine(framework::dataset::concat(datasets::SmallWinogradConvolutionLayer3x3Dataset(),
- datasets::SmallWinogradConvolutionLayer5x5Dataset()),
+ combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(),
+ 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(RunLarge, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
+ combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(),
framework::dataset::make("DataType", { DataType::F32 })),
ActivationFunctionsDataset),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, abs_tolerance_f32);
+}
+
+TEST_SUITE_END() // Conv1x3
+TEST_SUITE(Conv3x1)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
+ combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(),
+ 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(RunLarge, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
+ combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(),
+ framework::dataset::make("DataType", { DataType::F32 })),
+ ActivationFunctionsDataset),
+ framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
{
// Validate output
validate(Accessor(_target), _reference, abs_tolerance_f32);
}
+TEST_SUITE_END() // Conv3x1
+
+TEST_SUITE(Conv3x3)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
+ combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(),
+ 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(RunLarge, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
+ combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(),
+ framework::dataset::make("DataType", { DataType::F32 })),
+ ActivationFunctionsDataset),
+ framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
+
+{
+ // Validate output
+ validate(Accessor(_target), _reference, abs_tolerance_f32);
+}
+TEST_SUITE_END() // Conv3x3
+
+TEST_SUITE(Conv5x5)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
+ combine(combine(combine(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(RunLarge, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
+ combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(),
+ framework::dataset::make("DataType", { DataType::F32 })),
+ ActivationFunctionsDataset),
+ framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
+
+{
+ // Validate output
+ validate(Accessor(_target), _reference, abs_tolerance_f32);
+}
+
+TEST_SUITE_END() // Conv5x5
+
FIXTURE_DATA_TEST_CASE(RunSmallNoBias, NEWinogradConvolutionLayerNoBiasFixture<float>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(framework::dataset::concat(datasets::SmallWinogradConvolutionLayer3x3Dataset(),
datasets::SmallWinogradConvolutionLayer5x5Dataset()),