diff options
| author | Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com> | 2018-06-18 14:40:56 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:53:09 +0000 |
| commit | 0fc25454b6ce499b7f89792f91b81a61a42d3182 (patch) | |
| tree | 0c988cbbef3f5f1967cc2f77672d05a702191349 /tests/validation/CL/ConvolutionLayer.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/CL/ConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/CL/ConvolutionLayer.cpp | 55 |
1 files changed, 0 insertions, 55 deletions
diff --git a/tests/validation/CL/ConvolutionLayer.cpp b/tests/validation/CL/ConvolutionLayer.cpp index 0c40953524..242c252015 100644 --- a/tests/validation/CL/ConvolutionLayer.cpp +++ b/tests/validation/CL/ConvolutionLayer.cpp @@ -48,7 +48,6 @@ namespace constexpr AbsoluteTolerance<float> absolute_tolerance_float(0.0001f); /**< Absolute Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ RelativeTolerance<float> tolerance_f32(0.05f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ -constexpr AbsoluteTolerance<float> tolerance_fixed(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */ constexpr AbsoluteTolerance<float> tolerance_qasymm8(0.0); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */ constexpr float tolerance_num = 0.07f; /**< Tolerance number */ @@ -57,8 +56,6 @@ const auto CNNDataTypes = framework::dataset::make("DataType", { DataType::F16, DataType::F32, - DataType::QS8, - DataType::QS16, DataType::QASYMM8, }); const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo", @@ -256,58 +253,6 @@ TEST_SUITE_END() template <typename T> using CLGEMMConvolutionLayerFixedPointFixture = ConvolutionValidationFixedPointFixture<CLTensor, CLAccessor, CLGEMMConvolutionLayer, T>; -TEST_SUITE(FixedPoint) -TEST_SUITE(QS8) -// We test for fixed point precision [4,6] -FIXTURE_DATA_TEST_CASE(RunTiny, CLGEMMConvolutionLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::TinyConvolutionLayerDataset(), - framework::dataset::make("ReshapeWeights", { true })), - framework::dataset::make("DataType", - DataType::QS8)), - framework::dataset::make("FractionalBits", 4, 7)), - ActivationFunctionsDataset)) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance_fixed); -} - -FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMConvolutionLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), - framework::dataset::make("ReshapeWeights", { true })), - framework::dataset::make("DataType", - DataType::QS8)), - framework::dataset::make("FractionalBits", 4, 7)), - ActivationFunctionsDataset)) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance_fixed); -} -TEST_SUITE_END() - -TEST_SUITE(QS16) -// Testing for fixed point position [1,14) -FIXTURE_DATA_TEST_CASE(RunTiny, CLGEMMConvolutionLayerFixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::TinyConvolutionLayerDataset(), - framework::dataset::make("ReshapeWeights", { true })), - framework::dataset::make("DataType", - DataType::QS16)), - framework::dataset::make("FractionalBits", 1, 14)), - ActivationFunctionsDataset)) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance_fixed); -} - -FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMConvolutionLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), - framework::dataset::make("ReshapeWeights", { true })), - framework::dataset::make("DataType", - DataType::QS16)), - framework::dataset::make("FractionalBits", 1, 14)), - ActivationFunctionsDataset)) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance_fixed); -} -TEST_SUITE_END() -TEST_SUITE_END() - template <typename T> using CLGEMMConvolutionLayerQuantizedFixture = ConvolutionValidationQuantizedFixture<CLTensor, CLAccessor, CLGEMMConvolutionLayer, T>; |