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author | Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com> | 2018-06-18 14:40:56 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:53:09 +0000 |
commit | 0fc25454b6ce499b7f89792f91b81a61a42d3182 (patch) | |
tree | 0c988cbbef3f5f1967cc2f77672d05a702191349 /tests/validation/NEON/SoftmaxLayer.cpp | |
parent | f5f0ecca39c905bc8c1f90e7469eed2221ca662f (diff) | |
download | ComputeLibrary-0fc25454b6ce499b7f89792f91b81a61a42d3182.tar.gz |
COMPMID-970 : Remove QS8 / QS16 support
Remove QS8 and QS16 validation and benchmark tests
Change-Id: I566f1474c1fafcb3903115ec2d3a003d73e4c93b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/133762
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Diffstat (limited to 'tests/validation/NEON/SoftmaxLayer.cpp')
-rw-r--r-- | tests/validation/NEON/SoftmaxLayer.cpp | 48 |
1 files changed, 1 insertions, 47 deletions
diff --git a/tests/validation/NEON/SoftmaxLayer.cpp b/tests/validation/NEON/SoftmaxLayer.cpp index e091c0268a..4a1aa23ac1 100644 --- a/tests/validation/NEON/SoftmaxLayer.cpp +++ b/tests/validation/NEON/SoftmaxLayer.cpp @@ -47,8 +47,6 @@ constexpr AbsoluteTolerance<float> tolerance_f32(0.000001f); #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC constexpr AbsoluteTolerance<float> tolerance_f16(0.0001f); #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC*/ -/** Tolerance for fixed point operations */ -constexpr AbsoluteTolerance<int16_t> tolerance_fixed_point(2); /** Tolerance for quantized operations */ constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); @@ -60,8 +58,6 @@ const auto CNNDataTypes = framework::dataset::make("DataType", DataType::F16, #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ DataType::F32, - DataType::QS8, - DataType::QS16, }); } // namespace @@ -101,15 +97,13 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datase DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data types TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2), // Mismatching fixed point TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), })), - framework::dataset::make("Expected", { false, false, false, true })), + framework::dataset::make("Expected", { false, false, true })), input_info, output_info, expected) { bool is_valid = bool(NESoftmaxLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))); @@ -162,46 +156,6 @@ TEST_SUITE_END() template <typename T> using NESoftmaxLayerFixedPointFixture = SoftmaxValidationFixedPointFixture<Tensor, Accessor, NESoftmaxLayer, T>; -TEST_SUITE(FixedPoint) -TEST_SUITE(QS8) -// Testing for fixed point position [1,6) as reciprocal limits the maximum fixed point position to 5 -FIXTURE_DATA_TEST_CASE(RunTiny, NESoftmaxLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SoftmaxLayerTinyShapes(), framework::dataset::make("DataType", - DataType::QS8)), - framework::dataset::make("FractionalBits", 1, 6))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance_fixed_point); -} -FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make("DataType", - DataType::QS8)), - framework::dataset::make("FractionalBits", 1, 6))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance_fixed_point); -} -TEST_SUITE_END() - -TEST_SUITE(QS16) -// Testing for fixed point position [1,14) as reciprocal limits the maximum fixed point position to 14 -FIXTURE_DATA_TEST_CASE(RunTiny, NESoftmaxLayerFixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SoftmaxLayerTinyShapes(), - framework::dataset::make("DataType", - DataType::QS16)), - framework::dataset::make("FractionalBits", 1, 14))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance_fixed_point); -} -FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SoftmaxLayerSmallShapes(), - framework::dataset::make("DataType", - DataType::QS16)), - framework::dataset::make("FractionalBits", 1, 14))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance_fixed_point); -} -TEST_SUITE_END() -TEST_SUITE_END() - template <typename T> using NESoftmaxLayerQuantizedFixture = SoftmaxValidationQuantizedFixture<Tensor, Accessor, NESoftmaxLayer, T>; |