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| author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2018-08-21 11:57:17 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
| commit | 84cb75db5da157977a9c5b2dc5221d45dcdb926e (patch) | |
| tree | 114601701a57364bf27745f8776ce93959218fdc /tests/validation/CL/DilatedConvolutionLayer.cpp | |
| parent | a7cbc740dc22ab7289c9a006daf39fb35a78248d (diff) | |
| download | ComputeLibrary-84cb75db5da157977a9c5b2dc5221d45dcdb926e.tar.gz | |
COMPMID-1524 - Release Branch: CL GEMMDilatedConvolutionLayer FP16 mismatches
The mismatches are due by the FP16 reference implementation which does not match exactly the fp16
acceleration we have on Mali. The only workaround for this is to introduce a tolerance number.
So if the number of mismatches is greater than 7%, the test fails
Change-Id: Iab7bbee6d77eb5b5fda410c350025060c1cc7724
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/144964
Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/CL/DilatedConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/CL/DilatedConvolutionLayer.cpp | 13 |
1 files changed, 7 insertions, 6 deletions
diff --git a/tests/validation/CL/DilatedConvolutionLayer.cpp b/tests/validation/CL/DilatedConvolutionLayer.cpp index d7642eb172..9ebde38bcf 100644 --- a/tests/validation/CL/DilatedConvolutionLayer.cpp +++ b/tests/validation/CL/DilatedConvolutionLayer.cpp @@ -43,11 +43,12 @@ namespace validation { namespace { -RelativeTolerance<float> rel_tolerance_f32(0.05f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ -RelativeTolerance<half_float::half> rel_tolerance_f16(half_float::half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ -constexpr AbsoluteTolerance<float> abs_tolerance_qasymm8(0.0); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */ -constexpr float abs_tolerance_f32 = 0.001f; /**< Tolerance number */ -constexpr float abs_tolerance_f16 = 0.07f; /**< Tolerance number */ +RelativeTolerance<float> rel_tolerance_f32(0.05f); /**< Relative tolerance value for comparing reference's output against implementation's output for DataType::F32 */ +RelativeTolerance<half_float::half> rel_tolerance_f16(half_float::half(0.2)); /**< Relative tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +constexpr AbsoluteTolerance<float> abs_tolerance_qasymm8(0.0); /**< Relative tolerance value for comparing reference's output against implementation's output for quantized data types */ +constexpr float abs_tolerance_f32 = 0.001f; /**< Absolute tolerance value for comparing reference's output against implementation's output for DataType::F32 */ +constexpr float abs_tolerance_f16 = 0.3f; /**< Absolute tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +constexpr float tolerance_num_f16 = 0.07f; /**< Tolerance number for FP16 */ /** CNN data types */ const auto CNNDataTypes = framework::dataset::make("DataType", @@ -177,7 +178,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerFixture<half>, fra framework::dataset::make("ActivationLayerInfo", ActivationLayerInfo()))) { // Validate output - validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.0f, abs_tolerance_f16); + validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num_f16); } TEST_SUITE_END() |