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| author | Michalis Spyrou <michalis.spyrou@arm.com> | 2018-11-01 18:14:27 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:55:45 +0000 |
| commit | 064add6ddcf8b72eee213c62643a32e81cef4f88 (patch) | |
| tree | e2c468c4d3b44c5089209111f7c256e17e33412f /tests/validation/NEON/DirectConvolutionLayer.cpp | |
| parent | f8defca1f2a3c9697cf06dbd0643936e2d247c08 (diff) | |
| download | ComputeLibrary-064add6ddcf8b72eee213c62643a32e81cef4f88.tar.gz | |
COMPMID-1451 Reduce precommit tests
Reduce the amount of precommit tests run in DirectConvolution,
Deconvolution and Pooling. Proper investigation scheduled for later.
Change-Id: Idc2510cf6877e7a605cead84f384852b609e3216
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/156466
Tested-by: bsgcomp <bsgcomp@arm.com>
Reviewed-by: Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com>
Diffstat (limited to 'tests/validation/NEON/DirectConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/DirectConvolutionLayer.cpp | 52 |
1 files changed, 36 insertions, 16 deletions
diff --git a/tests/validation/NEON/DirectConvolutionLayer.cpp b/tests/validation/NEON/DirectConvolutionLayer.cpp index cd186e05cd..7dad653fb5 100644 --- a/tests/validation/NEON/DirectConvolutionLayer.cpp +++ b/tests/validation/NEON/DirectConvolutionLayer.cpp @@ -71,14 +71,17 @@ const auto data_pad_f16 = concat(combine(framework::dataset::make("PadX", { 0, 1 const auto data_f32 = combine(datasets::SmallDirectConvolutionShapes(), combine(framework::dataset::make("StrideX", { 1, 2, 3 }), combine(framework::dataset::make("StrideY", { 1, 2, 3 }), - combine(data_pad_f32, - framework::dataset::make("NumKernels", { 1, 4, 8, 16 }))))); + data_pad_f32))); const auto data_f16 = combine(datasets::SmallDirectConvolutionShapes(), combine(framework::dataset::make("StrideX", { 1, 2, 3 }), combine(framework::dataset::make("StrideY", { 1, 2, 3 }), - combine(data_pad_f16, - framework::dataset::make("NumKernels", { 1, 4, 8, 16 }))))); + data_pad_f16))); + +const auto data_f32_nightly = combine(data_f32, framework::dataset::make("NumKernels", { 1, 4, 8, 16 })); +const auto data_f16_nightly = combine(data_f16, framework::dataset::make("NumKernels", { 1, 4, 8, 16 })); +const auto data_f32_precommit = combine(data_f32, framework::dataset::make("NumKernels", { 4 })); +const auto data_f16_precommit = combine(data_f16, framework::dataset::make("NumKernels", { 4 })); /** Activation function Dataset*/ const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo", @@ -168,26 +171,43 @@ using NEDirectConvolutionLayerFixture = DirectConvolutionValidationFixture<Tenso TEST_SUITE(Float) #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE(FP16) -FIXTURE_DATA_TEST_CASE(Run, NEDirectConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(data_f16, framework::dataset::make("DataType", DataType::F16)), - ActivationFunctionsDataset), - framework::dataset::make("DataLayout", DataLayout::NCHW))) +FIXTURE_DATA_TEST_CASE(RunSmall, NEDirectConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_f16_precommit, framework::dataset::make("DataType", + DataType::F16)), + ActivationFunctionsDataset), + framework::dataset::make("DataLayout", DataLayout::NCHW))) +{ + // Validate output + validate(Accessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_f16); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEDirectConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_f16_nightly, framework::dataset::make("DataType", DataType::F16)), + ActivationFunctionsDataset), + framework::dataset::make("DataLayout", DataLayout::NCHW))) { // Validate output validate(Accessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_f16); } -TEST_SUITE_END() -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ +TEST_SUITE_END() // FP16 +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ TEST_SUITE(FP32) -FIXTURE_DATA_TEST_CASE(Run, NEDirectConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(data_f32, framework::dataset::make("DataType", DataType::F32)), - ActivationFunctionsDataset), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) +FIXTURE_DATA_TEST_CASE(RunSmall, NEDirectConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_f32_precommit, framework::dataset::make("DataType", + DataType::F32)), + ActivationFunctionsDataset), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp32); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEDirectConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_f32_nightly, framework::dataset::make("DataType", + DataType::F32)), + ActivationFunctionsDataset), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) { // Validate output validate(Accessor(_target), _reference, tolerance_fp32); } -TEST_SUITE_END() -TEST_SUITE_END() +TEST_SUITE_END() // FP32 +TEST_SUITE_END() // Float const auto QuantizedActivationFunctionsDataset = framework::dataset::make("ActivationInfo", { @@ -196,8 +216,8 @@ const auto QuantizedActivationFunctionsDataset = framework::dataset::make("Activ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f) }); -TEST_SUITE_END() -TEST_SUITE_END() +TEST_SUITE_END() // DirectConvolutionLayer +TEST_SUITE_END() // NEON } // namespace validation } // namespace test } // namespace arm_compute |