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| 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/NEON/DirectConvolutionLayer.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/DirectConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/DirectConvolutionLayer.cpp | 46 |
1 files changed, 0 insertions, 46 deletions
diff --git a/tests/validation/NEON/DirectConvolutionLayer.cpp b/tests/validation/NEON/DirectConvolutionLayer.cpp index f700758d21..4995d881cc 100644 --- a/tests/validation/NEON/DirectConvolutionLayer.cpp +++ b/tests/validation/NEON/DirectConvolutionLayer.cpp @@ -42,7 +42,6 @@ namespace validation { namespace { -constexpr AbsoluteTolerance<float> tolerance_qs(1.f); /**< Tolerance for fixed point tests */ #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC constexpr AbsoluteTolerance<float> tolerance_fp16(0.01f); /**< Tolerance for half precision floating point tests */ #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ @@ -59,33 +58,12 @@ const auto data_pad_f32 = concat(concat(combine(framework::dataset::make("PadX", combine(framework::dataset::make("PadY", { 0, 3 }), framework::dataset::make("KernelSize", 5)))); -const auto data_pad_qs8 = concat(combine(framework::dataset::make("PadX", 0), - combine(framework::dataset::make("PadY", 0), - framework::dataset::make("KernelSize", 1))), - combine(framework::dataset::make("PadX", { 0, 2 }), - combine(framework::dataset::make("PadY", { 0, 2 }), - framework::dataset::make("KernelSize", 3)))); - const auto data_f32 = combine(datasets::SmallDirectConvolutionShapes(), combine(framework::dataset::make("StrideX", { 1, 3 }), combine(framework::dataset::make("StrideY", { 1, 3 }), combine(data_pad_f32, framework::dataset::make("NumKernels", { 1, 4, 8, 16 }))))); -const auto data_qs8 = combine(datasets::TinyDirectConvolutionShapes(), - combine(framework::dataset::make("StrideX", { 1, 3 }), - combine(framework::dataset::make("StrideY", { 1, 3 }), - combine(data_pad_qs8, - framework::dataset::make("NumKernels", { 1, 4, 8, 16 }))))); - -/** Direct convolution QS16 data set. */ -const auto data_qs16 = combine(datasets::TinyDirectConvolutionShapes(), - combine(framework::dataset::make("StrideX", { 1, 3 }), - combine(framework::dataset::make("StrideY", { 1, 3 }), - combine(framework::dataset::make("PadX", 0), - combine(framework::dataset::make("PadY", 0), - combine(framework::dataset::make("KernelSize", 1), - framework::dataset::make("NumKernels", { 1, 4, 8, 16 }))))))); /** Activation function Dataset*/ const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo", { @@ -205,30 +183,6 @@ const auto QuantizedActivationFunctionsDataset = framework::dataset::make("Activ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f) }); -TEST_SUITE(Quantized) -TEST_SUITE(QS8) -// We test for fixed point precision [4,6] -FIXTURE_DATA_TEST_CASE(Run, NEDirectConvolutionLayerFixedPointFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(data_qs8, framework::dataset::make("DataType", DataType::QS8)), - framework::dataset::make("FractionalBits", 4, 7)), - QuantizedActivationFunctionsDataset)) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance_qs); -} -TEST_SUITE_END() - -TEST_SUITE(QS16) -// We test for fixed point precision [4,13] -FIXTURE_DATA_TEST_CASE(Run, NEDirectConvolutionLayerFixedPointFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(combine(data_qs16, framework::dataset::make("DataType", DataType::QS16)), - framework::dataset::make("FractionalBits", 4, 14)), - QuantizedActivationFunctionsDataset)) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance_qs); -} -TEST_SUITE_END() -TEST_SUITE_END() - TEST_SUITE_END() TEST_SUITE_END() } // namespace validation |