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| author | steniu01 <steven.niu@arm.com> | 2017-08-25 17:18:01 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | 3e05e4e85912e745b8555102e1bcef13478d2ceb (patch) | |
| tree | d4ac2e56bcbcbb2ca73b990deeeb26aa2fa1f73d /tests/validation/CL/ConvolutionLayer.cpp | |
| parent | 09e4f98e31a9bb77bebeccd59c70f0715ab2c292 (diff) | |
| download | ComputeLibrary-3e05e4e85912e745b8555102e1bcef13478d2ceb.tar.gz | |
COMPMID-516 Change the CL CNN validation functions to use relative
tolerance error
Change-Id: Iec6347af26ea2a83c911f5fe10e6048e8a2a47ba
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/85381
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com>
Diffstat (limited to 'tests/validation/CL/ConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/CL/ConvolutionLayer.cpp | 11 |
1 files changed, 6 insertions, 5 deletions
diff --git a/tests/validation/CL/ConvolutionLayer.cpp b/tests/validation/CL/ConvolutionLayer.cpp index d7123842e9..6ae992b83b 100644 --- a/tests/validation/CL/ConvolutionLayer.cpp +++ b/tests/validation/CL/ConvolutionLayer.cpp @@ -44,9 +44,10 @@ namespace validation { namespace { -constexpr AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ -constexpr AbsoluteTolerance<float> tolerance_f16(0.1f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ -constexpr AbsoluteTolerance<float> tolerance_q(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */ +RelativeTolerance<float> tolerance_f32(0.001f); /**< 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_q(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */ +constexpr float tolerance_num = 0.07f; /**< Tolerance number */ /** CNN data types */ const auto CNNDataTypes = framework::dataset::make("DataType", @@ -107,14 +108,14 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionLayerFixture<half_float::half>, fr DataType::F16))) { // Validate output - validate(CLAccessor(_target), _reference, tolerance_f16); + validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); } FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionLayerFixture<half_float::half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make("DataType", DataType::F16))) { // Validate output - validate(CLAccessor(_target), _reference, tolerance_f16); + validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); } TEST_SUITE_END() |