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Diffstat (limited to 'tests/validation/NEON/ConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/ConvolutionLayer.cpp | 44 |
1 files changed, 44 insertions, 0 deletions
diff --git a/tests/validation/NEON/ConvolutionLayer.cpp b/tests/validation/NEON/ConvolutionLayer.cpp index 61bf4a2c37..72e67a9acc 100644 --- a/tests/validation/NEON/ConvolutionLayer.cpp +++ b/tests/validation/NEON/ConvolutionLayer.cpp @@ -211,6 +211,50 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture<float>, frame TEST_SUITE_END() // Conv5x1 +TEST_SUITE(Conv7x1) +FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(datasets::SmallWinogradConvolutionLayer7x1Dataset(), + 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::LargeWinogradConvolutionLayer7x1Dataset(), + framework::dataset::make("DataType", { DataType::F32 })), + ActivationFunctionsDataset), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) +{ + // Validate output + validate(Accessor(_target), _reference, abs_tolerance_1xN_f32); +} +TEST_SUITE_END() // Conv7x1 + +TEST_SUITE(Conv1x7) +FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x7Dataset(), + 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::LargeWinogradConvolutionLayer7x1Dataset(), + framework::dataset::make("DataType", { DataType::F32 })), + ActivationFunctionsDataset), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) +{ + // Validate output + validate(Accessor(_target), _reference, abs_tolerance_1xN_f32); +} +TEST_SUITE_END() // Conv1x7 + TEST_SUITE(Conv3x3) FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), |