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| author | Sheri Zhang <sheri.zhang@arm.com> | 2020-12-15 20:25:31 +0000 |
|---|---|---|
| committer | Sheri Zhang <sheri.zhang@arm.com> | 2020-12-24 17:19:35 +0000 |
| commit | 8d5d78ba48358e5c511d4c625c17d99065763945 (patch) | |
| tree | 446b0d851a36c08af7423e8254699f6b24dd6f4d /tests | |
| parent | 410e21e88db9d98c8144cd93047e506ecd0b7ab4 (diff) | |
| download | ComputeLibrary-8d5d78ba48358e5c511d4c625c17d99065763945.tar.gz | |
COMPMID-3871: Create BatchNormalization SVE/SVE2
1. Decouple data type for NHWC
2. Add NHWC SVE support for BachNormalization
Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Change-Id: I0383b969b555b429d9acebb4efa17ecba9429ea7
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4755
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Diffstat (limited to 'tests')
| -rw-r--r-- | tests/validation/NEON/BatchNormalizationLayer.cpp | 10 |
1 files changed, 6 insertions, 4 deletions
diff --git a/tests/validation/NEON/BatchNormalizationLayer.cpp b/tests/validation/NEON/BatchNormalizationLayer.cpp index 067c5bb198..b24357f8ad 100644 --- a/tests/validation/NEON/BatchNormalizationLayer.cpp +++ b/tests/validation/NEON/BatchNormalizationLayer.cpp @@ -51,8 +51,10 @@ namespace RelativeTolerance<float> rel_tolerance_f32(0.05f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ constexpr AbsoluteTolerance<float> abs_tolerance_f32(0.0001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -constexpr AbsoluteTolerance<float> tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ -#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +RelativeTolerance<float> rel_tolerance_f16(0.05f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +constexpr AbsoluteTolerance<float> abs_tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + const auto act_infos = framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), @@ -148,7 +150,7 @@ FIXTURE_DATA_TEST_CASE(RandomSmall, NEBatchNormalizationLayerFixture<half>, fram framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) { // Validate output - validate(Accessor(_target), _reference, tolerance_f16, 0); + validate(Accessor(_target), _reference, abs_tolerance_f16, 0); } FIXTURE_DATA_TEST_CASE(RandomLarge, NEBatchNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::LargeRandomBatchNormalizationLayerDataset(), @@ -159,7 +161,7 @@ FIXTURE_DATA_TEST_CASE(RandomLarge, NEBatchNormalizationLayerFixture<half>, fram framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) { // Validate output - validate(Accessor(_target), _reference, tolerance_f16, 0); + validate(Accessor(_target), _reference, abs_tolerance_f16, 0); } TEST_SUITE_END() // FP16 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |