diff options
| -rw-r--r-- | tests/validation/NEON/ConvolutionLayer.cpp | 11 |
1 files changed, 6 insertions, 5 deletions
diff --git a/tests/validation/NEON/ConvolutionLayer.cpp b/tests/validation/NEON/ConvolutionLayer.cpp index 142b335849..b286eb61b6 100644 --- a/tests/validation/NEON/ConvolutionLayer.cpp +++ b/tests/validation/NEON/ConvolutionLayer.cpp @@ -47,7 +47,8 @@ namespace validation { namespace { -const AbsoluteTolerance<float> tolerance_f32(0.002f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ +RelativeTolerance<float> rel_tolerance_f32(0.01f); /**< Relative tolerance for FP32 types */ +const AbsoluteTolerance<float> abs_tolerance_f32(0.002f); /**< Absolute tolerance for FP32 types */ #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 */ @@ -127,7 +128,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, frame ActivationFunctionsDataset)) { // Validate output - validate(Accessor(_target), _reference, tolerance_f32); + validate(Accessor(_target), _reference, abs_tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunSmallNoBias, NEWinogradConvolutionLayerNoBiasFixture<float>, framework::DatasetMode::PRECOMMIT, @@ -137,7 +138,7 @@ FIXTURE_DATA_TEST_CASE(RunSmallNoBias, NEWinogradConvolutionLayerNoBiasFixture<f ActivationFunctionsDataset)) { // Validate output - validate(Accessor(_target), _reference, tolerance_f32); + validate(Accessor(_target), _reference, abs_tolerance_f32); } TEST_SUITE_END() @@ -228,7 +229,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMConvolutionLayerFixture<float>, framework ActivationFunctionsDataset)) { // Validate output - validate(Accessor(_target), _reference, tolerance_f32); + validate(Accessor(_target), _reference, rel_tolerance_f32, 0.f, float(abs_tolerance_f32)); } FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make("ReshapeWeights", { true })), @@ -237,7 +238,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMConvolutionLayerFixture<float>, framework ActivationFunctionsDataset)) { // Validate output - validate(Accessor(_target), _reference, tolerance_f32); + validate(Accessor(_target), _reference, rel_tolerance_f32, 0.f, float(abs_tolerance_f32)); } TEST_SUITE_END() TEST_SUITE_END() |