diff options
author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-08-23 13:11:53 +0100 |
---|---|---|
committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
commit | 3463a8b9eed57340366743340d2d06df3aa1ae88 (patch) | |
tree | dda328b4fc59fb0a9f7a930a25ef65ce8f20e179 /tests/validation/NEON/ActivationLayer.cpp | |
parent | 2113b9d9ada3a392b1215c4afd7715249d629bfc (diff) | |
download | ComputeLibrary-3463a8b9eed57340366743340d2d06df3aa1ae88.tar.gz |
COMPMID-1534: Fix NEActivationLayer for FP16
Simulates Logistic, Tanh and SoftRelu in FP32
Change-Id: I9950f7636b8ff2f3e054937e5ef414e45dfe06f5
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145357
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/validation/NEON/ActivationLayer.cpp')
-rw-r--r-- | tests/validation/NEON/ActivationLayer.cpp | 46 |
1 files changed, 37 insertions, 9 deletions
diff --git a/tests/validation/NEON/ActivationLayer.cpp b/tests/validation/NEON/ActivationLayer.cpp index dee264c6b8..5b16b0621c 100644 --- a/tests/validation/NEON/ActivationLayer.cpp +++ b/tests/validation/NEON/ActivationLayer.cpp @@ -43,14 +43,42 @@ namespace validation { namespace { -/** Define tolerance of the activation layer. +/** Define relative tolerance of the activation layer. * * @param[in] data_type The data type used. * @param[in] activation The activation function used. * - * @return Tolerance depending on the activation function. + * @return Relative tolerance depending on the activation function. */ -AbsoluteTolerance<float> tolerance(DataType data_type, ActivationLayerInfo::ActivationFunction activation) +RelativeTolerance<float> relative_tolerance(DataType data_type, ActivationLayerInfo::ActivationFunction activation) +{ + switch(activation) + { + case ActivationLayerInfo::ActivationFunction::LOGISTIC: + case ActivationLayerInfo::ActivationFunction::SOFT_RELU: + case ActivationLayerInfo::ActivationFunction::SQRT: + case ActivationLayerInfo::ActivationFunction::TANH: + switch(data_type) + { + case DataType::F16: + return RelativeTolerance<float>(0.1f); + default: + return RelativeTolerance<float>(0.05f); + } + break; + default: + return RelativeTolerance<float>(0.f); + } +} + +/** Define absolute tolerance of the activation layer. + * + * @param[in] data_type The data type used. + * @param[in] activation The activation function used. + * + * @return Absolute tolerance depending on the activation function. + */ +AbsoluteTolerance<float> absolute_tolerance(DataType data_type, ActivationLayerInfo::ActivationFunction activation) { switch(activation) { @@ -163,14 +191,14 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerFixture<half>, framework::Data DataType::F16))) { // Validate output - validate(Accessor(_target), _reference, tolerance(_data_type, _function)); + validate(Accessor(_target), _reference, relative_tolerance(_data_type, _function), 0.f, absolute_tolerance(_data_type, _function)); } FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make("DataType", DataType::F16))) { // Validate output - validate(Accessor(_target), _reference, tolerance(_data_type, _function)); + validate(Accessor(_target), _reference, relative_tolerance(_data_type, _function), 0.f, absolute_tolerance(_data_type, _function)); } TEST_SUITE_END() #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ @@ -181,13 +209,13 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerFixture<float>, framework::Dat { // Validate output - validate(Accessor(_target), _reference, tolerance(_data_type, _function)); + validate(Accessor(_target), _reference, relative_tolerance(_data_type, _function), 0.f, absolute_tolerance(_data_type, _function)); } FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make("DataType", DataType::F32))) { // Validate output - validate(Accessor(_target), _reference, tolerance(_data_type, _function)); + validate(Accessor(_target), _reference, relative_tolerance(_data_type, _function), 0.f, absolute_tolerance(_data_type, _function)); } TEST_SUITE_END() TEST_SUITE_END() @@ -211,7 +239,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerQuantizedFixture<uint8_t>, fra framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 128.0f) }))) { // Validate output - validate(Accessor(_target), _reference, tolerance(_data_type, _function)); + validate(Accessor(_target), _reference, relative_tolerance(_data_type, _function), 0.f, absolute_tolerance(_data_type, _function)); } FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), QuantizedActivationDataset), framework::dataset::make("DataType", @@ -219,7 +247,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerQuantizedFixture<uint8_t>, fra framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 128.0f) }))) { // Validate output - validate(Accessor(_target), _reference, tolerance(_data_type, _function)); + validate(Accessor(_target), _reference, relative_tolerance(_data_type, _function), 0.f, absolute_tolerance(_data_type, _function)); } TEST_SUITE_END() TEST_SUITE_END() |