diff options
Diffstat (limited to 'tests/validation/CL/QuantizationLayer.cpp')
| -rw-r--r-- | tests/validation/CL/QuantizationLayer.cpp | 73 |
1 files changed, 67 insertions, 6 deletions
diff --git a/tests/validation/CL/QuantizationLayer.cpp b/tests/validation/CL/QuantizationLayer.cpp index e9544fdb8a..e3f47f98a8 100644 --- a/tests/validation/CL/QuantizationLayer.cpp +++ b/tests/validation/CL/QuantizationLayer.cpp @@ -42,9 +42,12 @@ namespace validation { namespace { -constexpr AbsoluteTolerance<float> tolerance_f32(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */ -const auto QuantizationSmallShapes = concat(datasets::Small3DShapes(), datasets::Small4DShapes()); -const auto QuantizationLargeShapes = concat(datasets::Large3DShapes(), datasets::Large4DShapes()); +constexpr AbsoluteTolerance<float> tolerance_f32(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */ +constexpr AbsoluteTolerance<uint8_t> tolerance_u8(1); /**< Tolerance value for comparing reference's output against implementation's output for QASYMM8 data types */ +constexpr AbsoluteTolerance<int8_t> tolerance_s8(1); /**< Tolerance value for comparing reference's output against implementation's output for QASYMM8_SIGNED data types */ +constexpr AbsoluteTolerance<uint16_t> tolerance_u16(1); /**< Tolerance value for comparing reference's output against implementation's output for QASYMM16 data types */ +const auto QuantizationSmallShapes = concat(datasets::Small3DShapes(), datasets::Small4DShapes()); +const auto QuantizationLargeShapes = concat(datasets::Large3DShapes(), datasets::Large4DShapes()); } // namespace TEST_SUITE(CL) @@ -53,7 +56,7 @@ TEST_SUITE(QuantizationLayer) // *INDENT-OFF* // clang-format off DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( - framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Wrong input data type + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Wrong output data type TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Wrong output data type TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::F32), // Mismatching shapes TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Valid @@ -125,7 +128,7 @@ FIXTURE_DATA_TEST_CASE(RunSmallQASYMM16, CLQuantizationLayerQASYMM16Fixture<floa framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) }))) { // Validate output - validate(CLAccessor(_target), _reference, tolerance_f32); + validate(CLAccessor(_target), _reference, tolerance_u16); } FIXTURE_DATA_TEST_CASE(RunLargeQASYMM8, CLQuantizationLayerQASYMM8Fixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(QuantizationLargeShapes, framework::dataset::make("DataTypeIn", DataType::F32)), @@ -141,7 +144,7 @@ FIXTURE_DATA_TEST_CASE(RunLargeQASYMM16, CLQuantizationLayerQASYMM16Fixture<floa framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) }))) { // Validate output - validate(CLAccessor(_target), _reference, tolerance_f32); + validate(CLAccessor(_target), _reference, tolerance_u16); } TEST_SUITE_END() // FP32 @@ -165,6 +168,64 @@ FIXTURE_DATA_TEST_CASE(RunLargeQASYMM8, CLQuantizationLayerQASYMM8Fixture<half>, TEST_SUITE_END() // FP16 TEST_SUITE_END() // Float +TEST_SUITE(Quantized) +template <typename T> +using CLQuantizationLayerQASYMM8GenFixture = QuantizationValidationGenericFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, uint8_t>; +template <typename T> +using CLQuantizationLayerQASYMM8_SIGNEDGenFixture = QuantizationValidationGenericFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, int8_t>; +template <typename T> +using CLQuantizationLayerQASYMM16GenFixture = QuantizationValidationGenericFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, uint16_t>; +TEST_SUITE(QASYMM8) +FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8, CLQuantizationLayerQASYMM8GenFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes, + framework::dataset::make("DataType", DataType::QASYMM8)), + framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })), + framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(0.5f, 10) })), + framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(2.0f, 15) }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_u8); +} +FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8_SIGNED, CLQuantizationLayerQASYMM8_SIGNEDGenFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes, + framework::dataset::make("DataTypeIn", DataType::QASYMM8)), + framework::dataset::make("DataTypeOut", { DataType::QASYMM8_SIGNED })), + framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.0f, 10) })), + framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.0f, 15) }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_s8); +} +FIXTURE_DATA_TEST_CASE(RunSmallQASYMM16, CLQuantizationLayerQASYMM16GenFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes, + framework::dataset::make("DataTypeIn", DataType::QASYMM8)), + framework::dataset::make("DataTypeOut", { DataType::QASYMM16 })), + framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.0f, 10) })), + framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(4.0f, 23) }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_u16); +} +TEST_SUITE_END() // QASYMM8 +TEST_SUITE(QASYMM8_SIGNED) +FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8_SIGNED, CLQuantizationLayerQASYMM8_SIGNEDGenFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes, + framework::dataset::make("DataTypeIn", DataType::QASYMM8_SIGNED)), + framework::dataset::make("DataTypeOut", { DataType::QASYMM8_SIGNED })), + framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.0f, 10) })), + framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(2.0f, 5) }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_s8); +} +FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8, CLQuantizationLayerQASYMM8GenFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes, + framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), + framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.0f, 10) })), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.0f, 30) }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_u8); +} +TEST_SUITE_END() // QASYMM8_SIGNED +TEST_SUITE_END() // Quantized + TEST_SUITE_END() // QuantizationLayer TEST_SUITE_END() // CL } // namespace validation |