diff options
| -rw-r--r-- | tests/validation/NEON/DilatedConvolutionLayer.cpp | 12 | ||||
| -rw-r--r-- | tests/validation/NEON/FullyConnectedLayer.cpp | 10 | ||||
| -rw-r--r-- | tests/validation/fixtures/FullyConnectedLayerFixture.h | 2 |
3 files changed, 14 insertions, 10 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 */ diff --git a/tests/validation/NEON/FullyConnectedLayer.cpp b/tests/validation/NEON/FullyConnectedLayer.cpp index 3aeba7a969..8d64345254 100644 --- a/tests/validation/NEON/FullyConnectedLayer.cpp +++ b/tests/validation/NEON/FullyConnectedLayer.cpp @@ -45,8 +45,10 @@ namespace /** Tolerance for float operations */ constexpr RelativeTolerance<float> tolerance_f32(0.01f); #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -constexpr RelativeTolerance<float> tolerance_f16(0.01f); -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC*/ +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*/ /** Tolerance for quantized asymmetric operations */ constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); @@ -174,14 +176,14 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEFullyConnectedLayerFixture<half>, framework:: framework::dataset::make("DataType", DataType::F16))) { // 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, NEFullyConnectedLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make("DataType", DataType::F16))) { // 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 */ diff --git a/tests/validation/fixtures/FullyConnectedLayerFixture.h b/tests/validation/fixtures/FullyConnectedLayerFixture.h index dd67f9aada..1e4a74445f 100644 --- a/tests/validation/fixtures/FullyConnectedLayerFixture.h +++ b/tests/validation/fixtures/FullyConnectedLayerFixture.h @@ -83,7 +83,7 @@ protected: } else if(is_data_type_float(_data_type)) { - std::uniform_real_distribution<> distribution(0.5f, 1.f); + std::uniform_real_distribution<> distribution(-1.0f, 1.0f); library->fill(tensor, distribution, i); } else |