diff options
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>; |