diff options
Diffstat (limited to 'tests/validation')
-rw-r--r-- | tests/validation/NEON/DepthConvertLayer.cpp | 229 | ||||
-rw-r--r-- | tests/validation/fixtures/DepthConvertLayerFixture.h | 54 | ||||
-rw-r--r-- | tests/validation/reference/DepthConvertLayer.cpp | 21 |
3 files changed, 269 insertions, 35 deletions
diff --git a/tests/validation/NEON/DepthConvertLayer.cpp b/tests/validation/NEON/DepthConvertLayer.cpp index 133ff4f735..0916f633a3 100644 --- a/tests/validation/NEON/DepthConvertLayer.cpp +++ b/tests/validation/NEON/DepthConvertLayer.cpp @@ -44,17 +44,23 @@ namespace validation namespace { /** Input data sets **/ -const auto DepthConvertLayerU8toU16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::U16)); -const auto DepthConvertLayerU8toS16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S16)); -const auto DepthConvertLayerU8toS32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S32)); -const auto DepthConvertLayerU16toU8Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::U8)); -const auto DepthConvertLayerU16toU32Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::U32)); -const auto DepthConvertLayerS16toU8Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::U8)); -const auto DepthConvertLayerS16toS32Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::S32)); -const auto DepthConvertLayerF16toF32Dataset = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F32)); -const auto DepthConvertLayerF32toF16Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F16)); -const auto DepthConvertLayerShiftDataset = framework::dataset::make("Shift", 0, 7); -const auto DepthConvertLayerZeroShiftDataset = framework::dataset::make("Shift", 0); +const auto DepthConvertLayerQASYMM8toF16Dataset = combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::F16)); +const auto DepthConvertLayerQASYMM8toF32Dataset = combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::F32)); +const auto DepthConvertLayerU8toU16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::U16)); +const auto DepthConvertLayerU8toS16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S16)); +const auto DepthConvertLayerU8toS32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S32)); +const auto DepthConvertLayerU16toU8Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::U8)); +const auto DepthConvertLayerU16toU32Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::U32)); +const auto DepthConvertLayerS16toU8Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::U8)); +const auto DepthConvertLayerS16toS32Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::S32)); +const auto DepthConvertLayerF16toF32Dataset = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F32)); +const auto DepthConvertLayerF32toF16Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F16)); +const auto DepthConvertLayerF16toQASYMM8Dataset = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::QASYMM8)); +const auto DepthConvertLayerF32toQASYMM8Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::QASYMM8)); +const auto DepthConvertLayerShiftDataset = framework::dataset::make("Shift", 0, 7); +const auto DepthConvertLayerZeroShiftDataset = framework::dataset::make("Shift", 0); + +constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); } // namespace TEST_SUITE(NEON) @@ -73,6 +79,55 @@ template <typename T> using NEDepthConvertLayerToF16Fixture = DepthConvertLayerValidationFixture<Tensor, Accessor, NEDepthConvertLayer, T, half>; template <typename T> using NEDepthConvertLayerToF32Fixture = DepthConvertLayerValidationFixture<Tensor, Accessor, NEDepthConvertLayer, T, float>; +template <typename T> +using NEDepthConvertLayerToQASYMM8Fixture = DepthConvertLayerValidationQuantizedFixture<Tensor, Accessor, NEDepthConvertLayer, T, uint8_t>; +template <typename T> +using NEDepthConvertLayerQuantizedToF16Fixture = DepthConvertLayerValidationQuantizedFixture<Tensor, Accessor, NEDepthConvertLayer, T, half>; +template <typename T> +using NEDepthConvertLayerQuantizedToF32Fixture = DepthConvertLayerValidationQuantizedFixture<Tensor, Accessor, NEDepthConvertLayer, T, float>; + +TEST_SUITE(QASYMM8_to_F32) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertLayerZeroShiftDataset), + shape, policy, shift) +{ + // Create tensors + Tensor src = create_tensor<Tensor>(shape, DataType::QASYMM8, 1); + Tensor dst = create_tensor<Tensor>(shape, DataType::F32, 1); + + // Create and Configure function + NEDepthConvertLayer depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerQuantizedToF32Fixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), + DepthConvertLayerQASYMM8toF32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })), + DepthConvertLayerZeroShiftDataset), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) }))) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerQuantizedToF32Fixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), + DepthConvertLayerQASYMM8toF32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })), + DepthConvertLayerZeroShiftDataset), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) }))) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() // QASYMM8_to_F32 TEST_SUITE(U8_to_U16) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), @@ -112,7 +167,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU16Fixture<uint8_t>, frame // Validate output validate(Accessor(_target), _reference); } -TEST_SUITE_END() +TEST_SUITE_END() // U8_to_U16 TEST_SUITE(U8_to_S16) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), @@ -152,7 +207,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS16Fixture<uint8_t>, frame // Validate output validate(Accessor(_target), _reference); } -TEST_SUITE_END() +TEST_SUITE_END() // U8_to_S16 TEST_SUITE(U8_to_S32) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset), @@ -191,7 +246,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS32Fixture<uint8_t>, frame // Validate output validate(Accessor(_target), _reference); } -TEST_SUITE_END() +TEST_SUITE_END() // U8_to_S32 TEST_SUITE(U16_to_U8) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), @@ -230,7 +285,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU8Fixture<uint16_t>, frame // Validate output validate(Accessor(_target), _reference); } -TEST_SUITE_END() +TEST_SUITE_END() // U16_to_U8 TEST_SUITE(U16_to_U32) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), @@ -269,7 +324,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU32Fixture<uint16_t>, fram // Validate output validate(Accessor(_target), _reference); } -TEST_SUITE_END() +TEST_SUITE_END() // U16_to_U32 TEST_SUITE(S16_to_U8) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), @@ -308,7 +363,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU8Fixture<int16_t>, framew // Validate output validate(Accessor(_target), _reference); } -TEST_SUITE_END() +TEST_SUITE_END() // S16_to_U8 TEST_SUITE(S16_to_S32) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), @@ -347,9 +402,52 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS32Fixture<int16_t>, frame // Validate output validate(Accessor(_target), _reference); } -TEST_SUITE_END() +TEST_SUITE_END() // S16_to_S32 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +TEST_SUITE(F16_to_QASYMM8) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })), + DepthConvertLayerZeroShiftDataset), + shape, policy, shift) +{ + // Create tensors + Tensor src = create_tensor<Tensor>(shape, DataType::F16, 1); + Tensor dst = create_tensor<Tensor>(shape, DataType::QASYMM8, 1); + + // Create and Configure function + NEDepthConvertLayer depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToQASYMM8Fixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), + DepthConvertLayerF16toQASYMM8Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })), + DepthConvertLayerZeroShiftDataset), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToQASYMM8Fixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), + DepthConvertLayerF16toQASYMM8Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })), + DepthConvertLayerZeroShiftDataset), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +TEST_SUITE_END() // F16_to_QASYMM8 + TEST_SUITE(F16_to_F32) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerZeroShiftDataset), @@ -387,7 +485,50 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToF32Fixture<half>, framewor // Validate output validate(Accessor(_target), _reference); } -TEST_SUITE_END() +TEST_SUITE_END() // F16_to_F32 + +TEST_SUITE(QASYMM8_to_F16) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertLayerZeroShiftDataset), + shape, policy, shift) +{ + // Create tensors + Tensor src = create_tensor<Tensor>(shape, DataType::QASYMM8, 1); + Tensor dst = create_tensor<Tensor>(shape, DataType::F16, 1); + + // Create and Configure function + NEDepthConvertLayer depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerQuantizedToF16Fixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), + DepthConvertLayerQASYMM8toF16Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })), + DepthConvertLayerZeroShiftDataset), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) }))) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerQuantizedToF16Fixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), + DepthConvertLayerQASYMM8toF16Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })), + DepthConvertLayerZeroShiftDataset), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) }))) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() // QASYMM8_to_F16 TEST_SUITE(F32_to_F16) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), @@ -426,11 +567,53 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToF16Fixture<float>, framewo // Validate output validate(Accessor(_target), _reference); } -TEST_SUITE_END() -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ +TEST_SUITE_END() // F32_to_F16 +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ -TEST_SUITE_END() -TEST_SUITE_END() +TEST_SUITE(F32_to_QASYMM8) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertLayerZeroShiftDataset), + shape, policy, shift) +{ + // Create tensors + Tensor src = create_tensor<Tensor>(shape, DataType::F32, 1); + Tensor dst = create_tensor<Tensor>(shape, DataType::QASYMM8, 1); + + // Create and Configure function + NEDepthConvertLayer depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToQASYMM8Fixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), + DepthConvertLayerF32toQASYMM8Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })), + DepthConvertLayerZeroShiftDataset), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToQASYMM8Fixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), + DepthConvertLayerF32toQASYMM8Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })), + DepthConvertLayerZeroShiftDataset), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +TEST_SUITE_END() // F32_to_QASYMM8 +TEST_SUITE_END() // DepthConvertLayer +TEST_SUITE_END() // NEON } // namespace validation } // namespace test } // namespace arm_compute diff --git a/tests/validation/fixtures/DepthConvertLayerFixture.h b/tests/validation/fixtures/DepthConvertLayerFixture.h index 29034c5334..a3d379eede 100644 --- a/tests/validation/fixtures/DepthConvertLayerFixture.h +++ b/tests/validation/fixtures/DepthConvertLayerFixture.h @@ -41,29 +41,40 @@ namespace test namespace validation { template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> -class DepthConvertLayerValidationFixture : public framework::Fixture +class DepthConvertLayerValidationBaseFixture : public framework::Fixture { public: template <typename...> - void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift) + void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift, QuantizationInfo quantization_info) { - _shift = shift; - _target = compute_target(shape, dt_in, dt_out, policy, shift); - _reference = compute_reference(shape, dt_in, dt_out, policy, shift); + _shift = shift; + _quantization_info = quantization_info; + _target = compute_target(shape, dt_in, dt_out, policy, shift); + _reference = compute_reference(shape, dt_in, dt_out, policy, shift); } protected: template <typename U> void fill(U &&tensor, int i) { - library->fill_tensor_uniform(tensor, i); + if(is_data_type_quantized(tensor.data_type())) + { + std::pair<int, int> bounds = get_quantized_bounds(tensor.quantization_info(), -1.0f, 1.0f); + std::uniform_int_distribution<uint8_t> distribution(bounds.first, bounds.second); + + library->fill(tensor, distribution, i); + } + else + { + library->fill_tensor_uniform(tensor, i); + } } TensorType compute_target(const TensorShape &shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift) { // Create tensors - TensorType src = create_tensor<TensorType>(shape, dt_in, 1); - TensorType dst = create_tensor<TensorType>(shape, dt_out, 1); + TensorType src = create_tensor<TensorType>(shape, dt_in, 1, _quantization_info); + TensorType dst = create_tensor<TensorType>(shape, dt_out, 1, _quantization_info); // Create and configure function FunctionType depth_convert; @@ -91,7 +102,7 @@ protected: SimpleTensor<T2> compute_reference(const TensorShape &shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift) { // Create reference - SimpleTensor<T1> src{ shape, dt_in, 1 }; + SimpleTensor<T1> src{ shape, dt_in, 1, _quantization_info }; // Fill reference fill(src, 0); @@ -102,6 +113,31 @@ protected: TensorType _target{}; SimpleTensor<T2> _reference{}; int _shift{}; + QuantizationInfo _quantization_info{}; +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> +class DepthConvertLayerValidationFixture : public DepthConvertLayerValidationBaseFixture<TensorType, AccessorType, FunctionType, T1, T2> +{ +public: + template <typename...> + void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift) + { + DepthConvertLayerValidationBaseFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, dt_in, dt_out, policy, + shift, QuantizationInfo()); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> +class DepthConvertLayerValidationQuantizedFixture : public DepthConvertLayerValidationBaseFixture<TensorType, AccessorType, FunctionType, T1, T2> +{ +public: + template <typename...> + void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift, QuantizationInfo quantization_info) + { + DepthConvertLayerValidationBaseFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, dt_in, dt_out, policy, + shift, quantization_info); + } }; } // namespace validation } // namespace test diff --git a/tests/validation/reference/DepthConvertLayer.cpp b/tests/validation/reference/DepthConvertLayer.cpp index c1fd9c51f7..6d9f98db5a 100644 --- a/tests/validation/reference/DepthConvertLayer.cpp +++ b/tests/validation/reference/DepthConvertLayer.cpp @@ -48,7 +48,14 @@ SimpleTensor<T2> depth_convert(const SimpleTensor<T1> &src, DataType dt_out, Con { for(int i = 0; i < src.num_elements(); ++i) { - result[i] = src[i] << shift; + if(is_data_type_quantized(src.data_type())) + { + result[i] = scvt_f32_qasymm8(src[i], src.quantization_info().scale, src.quantization_info().offset); + } + else + { + result[i] = src[i] << shift; + } } } // Down-casting @@ -75,8 +82,16 @@ SimpleTensor<T2> depth_convert(const SimpleTensor<T1> &src, DataType dt_out, Con // Always saturate on floats for(int i = 0; i < src.num_elements(); ++i) { - T1 val = utils::rounding::round_half_away_from_zero(src[i]); - result[i] = utils::cast::saturate_cast<T2>(val); + if(is_data_type_quantized(dt_out)) + { + T1 val = utils::rounding::round_half_away_from_zero(src[i]); + result[i] = sqcvt_qasymm8_f32(val, src.quantization_info().scale, src.quantization_info().offset); + } + else + { + T1 val = utils::rounding::round_half_away_from_zero(src[i]); + result[i] = utils::cast::saturate_cast<T2>(val); + } } } else |