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| author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2018-08-24 14:30:36 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
| commit | 35aea3776449557c438e264bae7af5b1fe0e5ff6 (patch) | |
| tree | 8eda6d433c3fcbcf886bd41b47ac76469e2a8ca9 /tests/validation/NEON/DilatedConvolutionLayer.cpp | |
| parent | e6bb3c61100e78440f9cf8180f0cf005194afa59 (diff) | |
| download | ComputeLibrary-35aea3776449557c438e264bae7af5b1fe0e5ff6.tar.gz | |
COMPMID-1534 - Fixed GEMMDilated and FullyConnected tests for FP16
Accuracy issue
Change-Id: Ibbce625251524ee5aa62b15ac78ba0f70efcc7bc
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145585
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/NEON/DilatedConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/DilatedConvolutionLayer.cpp | 12 |
1 files changed, 7 insertions, 5 deletions
diff --git a/tests/validation/NEON/DilatedConvolutionLayer.cpp b/tests/validation/NEON/DilatedConvolutionLayer.cpp index 25b357ebed..56b2dc0ed8 100644 --- a/tests/validation/NEON/DilatedConvolutionLayer.cpp +++ b/tests/validation/NEON/DilatedConvolutionLayer.cpp @@ -45,9 +45,11 @@ namespace { const AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -const AbsoluteTolerance<float> tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ -constexpr AbsoluteTolerance<float> tolerance_qasymm8(0.0); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */ +const AbsoluteTolerance<float> abs_tolerance_f16(0.3f); /**< Absolute tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +const RelativeTolerance<half_float::half> rel_tolerance_f16(half_float::half(0.2f)); /**< Relative 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 */ +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ +constexpr AbsoluteTolerance<float> tolerance_qasymm8(0.0); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */ /** CNN data types */ const auto CNNDataTypes = framework::dataset::make("DataType", @@ -158,7 +160,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMDilatedConvolutionLayerFixture<half>, fra framework::dataset::make("ActivationLayerInfo", ActivationLayerInfo()))) { // Validate output - validate(Accessor(_target), _reference, tolerance_f16); + validate(Accessor(_target), _reference, rel_tolerance_f16, tolerance_num_f16, abs_tolerance_f16); } FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMDilatedConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make("ReshapeWeights", { true })), @@ -167,7 +169,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMDilatedConvolutionLayerFixture<half>, fra framework::dataset::make("ActivationLayerInfo", ActivationLayerInfo()))) { // Validate output - validate(Accessor(_target), _reference, tolerance_f16); + validate(Accessor(_target), _reference, rel_tolerance_f16, tolerance_num_f16, abs_tolerance_f16); } TEST_SUITE_END() #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |