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| author | Luca Foschiani <luca.foschiani@arm.com> | 2020-01-28 10:38:07 +0000 |
|---|---|---|
| committer | Luca Foschiani <luca.foschiani@arm.com> | 2020-02-26 09:39:08 +0000 |
| commit | ee939fb58e3fc50ae7c92c895f8abd1dd9f20eb3 (patch) | |
| tree | fd199008e32f95390270010cf3d449745abae3b8 /tests/validation/NEON/ReduceMean.cpp | |
| parent | ca8c0f79a9fc1b3056c574bdd134748ea3cfd885 (diff) | |
| download | ComputeLibrary-ee939fb58e3fc50ae7c92c895f8abd1dd9f20eb3.tar.gz | |
COMPMID-2774: Add support for QASYMM8_SIGNED in NEReductionOperation, NEReduceMean and NEArgMinMaxLayer
Signed-off-by: Luca Foschiani <luca.foschiani@arm.com>
Change-Id: Icf198a983c8ce2c6cd8451a1190bb99115eac3af
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2652
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/NEON/ReduceMean.cpp')
| -rw-r--r-- | tests/validation/NEON/ReduceMean.cpp | 29 |
1 files changed, 24 insertions, 5 deletions
diff --git a/tests/validation/NEON/ReduceMean.cpp b/tests/validation/NEON/ReduceMean.cpp index 782b97220e..fade3613da 100644 --- a/tests/validation/NEON/ReduceMean.cpp +++ b/tests/validation/NEON/ReduceMean.cpp @@ -44,9 +44,9 @@ namespace { constexpr AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for 32-bit floating-point type */ #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -constexpr AbsoluteTolerance<float> tolerance_f16(0.03f); /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */ -#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for 8-bit asymmetric quantized type */ +constexpr AbsoluteTolerance<float> tolerance_f16(0.03f); /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */ +#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +constexpr AbsoluteTolerance<uint8_t> tolerance_quantized(1); /**< Tolerance value for comparing reference's output against implementation's output for 8-bit asymmetric quantized type */ const auto axis_keep = combine(framework::dataset::make("Axis", { Coordinates(0), Coordinates(1, 0), Coordinates(1, 2), Coordinates(0, 2), Coordinates(1, 3), Coordinates(0, 1, 2, 3) }), framework::dataset::make("KeepDims", { true })); @@ -162,7 +162,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255, 5) }))) { // Validate output - validate(Accessor(_target), _reference, tolerance_qasymm8); + validate(Accessor(_target), _reference, tolerance_quantized); } FIXTURE_DATA_TEST_CASE(RunLarge, @@ -171,9 +171,28 @@ FIXTURE_DATA_TEST_CASE(RunLarge, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255, 5) }))) { // Validate output - validate(Accessor(_target), _reference, tolerance_qasymm8); + validate(Accessor(_target), _reference, tolerance_quantized); } TEST_SUITE_END() // QASYMM8 + +TEST_SUITE(QASYMM8_SIGNED) +FIXTURE_DATA_TEST_CASE(RunSmall, + NEReduceMeanQuantizedFixture<int8_t>, + framework::DatasetMode::PRECOMMIT, + combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), concat(axis_keep, axis_drop)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 127, 0) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_quantized); +} +FIXTURE_DATA_TEST_CASE(RunLarge, + NEReduceMeanQuantizedFixture<int8_t>, + framework::DatasetMode::NIGHTLY, + combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), concat(axis_keep, axis_drop)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 127, 0) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_quantized); +} +TEST_SUITE_END() // QASYMM8_SIGNED TEST_SUITE_END() // Quantized TEST_SUITE_END() // ReduceMean TEST_SUITE_END() // NEON |