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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-11-16 17:11:50 +0000 |
|---|---|---|
| committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-11-19 17:42:58 +0000 |
| commit | 8cffcd6b6e4e95f97767f2a25ccc8826dd69c358 (patch) | |
| tree | 339d4053464ef995d24da035595b44155810036d /tests/validation/NEON/DepthwiseConvolutionLayer.cpp | |
| parent | d5c075c4ecdac35cd07538acc559a2d8805d8c1c (diff) | |
| download | ComputeLibrary-8cffcd6b6e4e95f97767f2a25ccc8826dd69c358.tar.gz | |
COMPMID-1644: NEDepthwiseConvolution for FP16 NHWC
Change-Id: I6e7dee8bd615a5eff01c523f208a218574ee5eab
Diffstat (limited to 'tests/validation/NEON/DepthwiseConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/DepthwiseConvolutionLayer.cpp | 29 |
1 files changed, 26 insertions, 3 deletions
diff --git a/tests/validation/NEON/DepthwiseConvolutionLayer.cpp b/tests/validation/NEON/DepthwiseConvolutionLayer.cpp index 8f87a7d636..f2b4650527 100644 --- a/tests/validation/NEON/DepthwiseConvolutionLayer.cpp +++ b/tests/validation/NEON/DepthwiseConvolutionLayer.cpp @@ -45,9 +45,12 @@ using namespace arm_compute::misc::shape_calculator; namespace { -RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.001)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ -constexpr RelativeTolerance<float> tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ -constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8 */ +constexpr RelativeTolerance<float> tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ +constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8 */ +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.01)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +constexpr float tolerance_num = 0.05f; /**< Tolerance number */ +#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC const auto depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 3 }); } // namespace @@ -244,6 +247,26 @@ TEST_SUITE_END() // F32 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE(F16) +TEST_SUITE(Generic) +template <typename T> +using NEDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer, T>; +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), + depth_multipliers), + framework::dataset::make("DataType", + DataType::F16)), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) +{ + validate(Accessor(_target), _reference, tolerance_f16, tolerance_num); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), + depth_multipliers), + framework::dataset::make("DataType", + DataType::F16)), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) +{ + validate(Accessor(_target), _reference, tolerance_f16, tolerance_num); +} +TEST_SUITE_END() // Generic TEST_SUITE(W3x3) template <typename T> using NEDepthwiseConvolutionLayerFixture3x3 = DepthwiseConvolutionLayerValidationFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer3x3, T>; |