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| author | Ioan-Cristian Szabo <ioan-cristian.szabo@arm.com> | 2017-11-13 13:34:08 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | 5edbd1c5dce43b66f30c903797a91e39369c5b62 (patch) | |
| tree | d4c20c1a92ff9a7e26ffc9b1f6976ee12a2e2ae0 /tests/validation/NEON/ConvolutionLayer.cpp | |
| parent | 84b51ad1aaa530d397761f2b6da65add9dc8a6b0 (diff) | |
| download | ComputeLibrary-5edbd1c5dce43b66f30c903797a91e39369c5b62.tar.gz | |
COMPMID-556: Add support to build arm64-v8.2-a for Android platform (clang compiler)
Change-Id: Ibb779dd3a8d10786da6d8f70590e654e14654d7b
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/95530
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Diffstat (limited to 'tests/validation/NEON/ConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/ConvolutionLayer.cpp | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/tests/validation/NEON/ConvolutionLayer.cpp b/tests/validation/NEON/ConvolutionLayer.cpp index 3003409062..5e14a7c3cc 100644 --- a/tests/validation/NEON/ConvolutionLayer.cpp +++ b/tests/validation/NEON/ConvolutionLayer.cpp @@ -44,17 +44,17 @@ namespace validation namespace { const AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ -#ifdef ARM_COMPUTE_AARCH64_V8_2 +#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_COMPUTE_AARCH64_V8_2 */ +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ const AbsoluteTolerance<float> tolerance_q(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */ /** CNN data types */ const auto CNNDataTypes = framework::dataset::make("DataType", { -#ifdef ARM_COMPUTE_AARCH64_V8_2 +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC DataType::F16, -#endif /* ARM_COMPUTE_AARCH64_V8_2 */ +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ DataType::F32, DataType::QS8, DataType::QS16, @@ -104,7 +104,7 @@ template <typename T> using NEConvolutionLayerFixture = ConvolutionValidationFixture<Tensor, Accessor, NEConvolutionLayer, T>; TEST_SUITE(Float) -#ifdef ARM_COMPUTE_AARCH64_V8_2 +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE(FP16) FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make("ReshapeWeights", { true, false })), @@ -121,7 +121,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionLayerFixture<half>, framework::Dat validate(Accessor(_target), _reference, tolerance_f16); } TEST_SUITE_END() -#endif /* ARM_COMPUTE_AARCH64_V8_2 */ +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ TEST_SUITE(FP32) FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallConvolutionLayerDataset(), |