diff options
Diffstat (limited to 'tests')
| -rw-r--r-- | tests/validation/CL/Pooling3dLayer.cpp | 74 | ||||
| -rw-r--r-- | tests/validation/fixtures/Pooling3dLayerFixture.h | 13 |
2 files changed, 81 insertions, 6 deletions
diff --git a/tests/validation/CL/Pooling3dLayer.cpp b/tests/validation/CL/Pooling3dLayer.cpp index 5c80351da2..84d630e6cf 100644 --- a/tests/validation/CL/Pooling3dLayer.cpp +++ b/tests/validation/CL/Pooling3dLayer.cpp @@ -59,10 +59,18 @@ const auto Pooling3dLayerDatasetFPSmall = combine(combine(combine(combine(datase framework::dataset::make("Padding", { Padding3D(0, 0, 0), Padding3D(1, 1, 1), Padding3D(1, 0, 0) })), framework::dataset::make("ExcludePadding", { true, false })); +const auto Pooling3DLayerDatasetQuantized = combine(combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }), + framework::dataset::make("PoolingSize", { Size3D(2, 3, 2) })), + framework::dataset::make("Stride", { Size3D(1, 1, 1), Size3D(2, 1, 1), Size3D(1, 2, 1), Size3D(1, 1, 2), Size3D(2, 2, 1)})), + framework::dataset::make("Padding", { Padding3D(0, 0, 0), Padding3D(1, 1, 1), Padding3D(1, 0, 0) })), + framework::dataset::make("ExcludePadding", { true })); + using ShapeDataset = framework::dataset::ContainerDataset<std::vector<TensorShape>>; -constexpr AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for 32-bit floating-point type */ -constexpr AbsoluteTolerance<float> tolerance_f16(0.1f); /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */ +constexpr AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for 32-bit floating-point type */ +constexpr AbsoluteTolerance<float> tolerance_f16(0.1f); /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */ +constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(1); /**< Tolerance value for comparing reference's output against implementation's output for QASYMM8_SIGNED integer datatype*/ +constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for 8-bit asymmetric type */ } // namespace @@ -133,8 +141,64 @@ using CLSpecialPooling3dLayerFixture = SpecialPooling3dLayerValidationFixture<CL template <typename T> using CLPooling3dLayerGlobalFixture = Pooling3dLayerGlobalValidationFixture<CLTensor, CLAccessor, CLPooling3dLayer, T>; +template <typename T> +using CLPooling3dLayerQuantizedFixture = Pooling3dLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLPooling3dLayer, T>; + // clang-format on // *INDENT-ON* +TEST_SUITE(QUANTIZED) + +TEST_SUITE(QASYMM8) +// Small Dataset Quantized Dataset +FIXTURE_DATA_TEST_CASE(RunSmall, CLPooling3dLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small5dShapes(), + combine(Pooling3DLayerDatasetQuantized, + framework::dataset::make("DataType", DataType::QASYMM8))), + framework::dataset::make("InputQuantInfo", { QuantizationInfo(1.f / 127.f, 10), QuantizationInfo(1.f / 127.f, 10) })), + framework::dataset::make("OutputQuantInfo", { QuantizationInfo(1.f / 127.f, 5), QuantizationInfo(1.f / 127.f, 10) }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_qasymm8); +} + +// Large Dataset Quantized Dataset +FIXTURE_DATA_TEST_CASE(RunLarge, CLPooling3dLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large5dShapes(), + combine(Pooling3DLayerDatasetQuantized, + framework::dataset::make("DataType", DataType::QASYMM8))), + framework::dataset::make("InputQuantInfo", { QuantizationInfo(1.f / 127.f, 10), QuantizationInfo(1.f / 127.f, 10) })), + framework::dataset::make("OutputQuantInfo", { QuantizationInfo(1.f / 127.f, 5), QuantizationInfo(1.f / 127.f, 10) }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_qasymm8); +} +TEST_SUITE_END() + +TEST_SUITE(QASYMM8_SIGNED) + +// Large Dataset Quantized Dataset Signed +FIXTURE_DATA_TEST_CASE(RunSmall, CLPooling3dLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small5dShapes(), + combine(Pooling3DLayerDatasetQuantized, + framework::dataset::make("DataType", DataType::QASYMM8_SIGNED))), + framework::dataset::make("InputQuantInfo", { QuantizationInfo(1.f / 127.f, -10), QuantizationInfo(1.f / 127.f, -10) })), + framework::dataset::make("OutputQuantInfo", { QuantizationInfo(1.f / 127.f, -5), QuantizationInfo(1.f / 127.f, -10) }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_qasymm8_signed); +} + +// Large Dataset Quantized pooling test +FIXTURE_DATA_TEST_CASE(RunLarge, CLPooling3dLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large5dShapes(), + combine(Pooling3DLayerDatasetQuantized, + framework::dataset::make("DataType", DataType::QASYMM8_SIGNED))), + framework::dataset::make("InputQuantInfo", { QuantizationInfo(1.f / 127.f, -10), QuantizationInfo(1.f / 127.f, -10) })), + framework::dataset::make("OutputQuantInfo", { QuantizationInfo(1.f / 127.f, -5), QuantizationInfo(1.f / 127.f, -10) }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_qasymm8_signed); +} + +TEST_SUITE_END() +TEST_SUITE_END() + TEST_SUITE(Float) TEST_SUITE(FP32) @@ -152,8 +216,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLPooling3dLayerFixture<float>, framework::Data } FIXTURE_DATA_TEST_CASE(RunLarge, CLPooling3dLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::Large5dShapes(), combine(Pooling3dLayerDatasetFP, - framework::dataset::make("DataType", - DataType::F32)))) + framework::dataset::make("DataType", DataType::F32)))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f32); @@ -219,8 +282,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLPooling3dLayerFixture<half>, framework::Datas } FIXTURE_DATA_TEST_CASE(RunLarge, CLPooling3dLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::Large5dShapes(), combine(Pooling3dLayerDatasetFP, - framework::dataset::make("DataType", - DataType::F16)))) + framework::dataset::make("DataType", DataType::F16)))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f16); diff --git a/tests/validation/fixtures/Pooling3dLayerFixture.h b/tests/validation/fixtures/Pooling3dLayerFixture.h index 563f1dcced..9ba7bab53a 100644 --- a/tests/validation/fixtures/Pooling3dLayerFixture.h +++ b/tests/validation/fixtures/Pooling3dLayerFixture.h @@ -163,6 +163,19 @@ public: } }; +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class Pooling3dLayerValidationQuantizedFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(TensorShape shape, PoolingType pool_type, Size3D pool_size, Size3D stride, Padding3D padding, bool exclude_padding, DataType data_type, + QuantizationInfo input_qinfo, QuantizationInfo output_qinfo) + { + Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, Pooling3dLayerInfo(pool_type, pool_size, stride, padding, exclude_padding), + data_type, input_qinfo, output_qinfo); + } +}; + } // namespace validation } // namespace test } // namespace arm_compute |