diff options
Diffstat (limited to 'tests/validation/NEON')
-rw-r--r-- | tests/validation/NEON/ElementwiseAbsoluteValue.cpp | 33 | ||||
-rw-r--r-- | tests/validation/NEON/ElementwiseExpLayer.cpp | 34 | ||||
-rw-r--r-- | tests/validation/NEON/ElementwiseLog.cpp | 34 | ||||
-rw-r--r-- | tests/validation/NEON/ElementwiseNegation.cpp | 33 | ||||
-rw-r--r-- | tests/validation/NEON/ElementwiseRound.cpp | 37 | ||||
-rw-r--r-- | tests/validation/NEON/ElementwiseRsqrtLayer.cpp | 33 | ||||
-rw-r--r-- | tests/validation/NEON/ElementwiseSin.cpp | 34 |
7 files changed, 231 insertions, 7 deletions
diff --git a/tests/validation/NEON/ElementwiseAbsoluteValue.cpp b/tests/validation/NEON/ElementwiseAbsoluteValue.cpp index ccde670034..7f6a6a5bb2 100644 --- a/tests/validation/NEON/ElementwiseAbsoluteValue.cpp +++ b/tests/validation/NEON/ElementwiseAbsoluteValue.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019-2021 Arm Limited. + * Copyright (c) 2019-2021, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -46,6 +46,8 @@ RelativeTolerance<float> tolerance_fp32(0.000001f); #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC RelativeTolerance<float> tolerance_fp16(0.01f); #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(0); +constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(0); } // namespace TEST_SUITE(NEON) @@ -53,6 +55,9 @@ TEST_SUITE(AbsLayer) template <typename T> using NEAbsLayerFixture = AbsValidationFixture<Tensor, Accessor, NEAbsLayer, T>; +template <typename T> +using NEAbsLayerQuantizedFixture = AbsQuantizedValidationFixture<Tensor, Accessor, NEAbsLayer, T>; + TEST_SUITE(Float) #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE(FP16) @@ -107,6 +112,32 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEAbsLayerFixture<int32_t>, framework::DatasetM TEST_SUITE_END() // S32 TEST_SUITE_END() // Integer +TEST_SUITE(Quantized) +TEST_SUITE(QASYMM8) +FIXTURE_DATA_TEST_CASE(RunSmall, NEAbsLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine( + datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::QASYMM8)), + framework::dataset::make("InputQInfo", { QuantizationInfo(0.2, -3) })), + framework::dataset::make("OutputQInfo", { QuantizationInfo(0.5, 10) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +TEST_SUITE_END() // QASYMM8 + +TEST_SUITE(QASYMM8_SIGNED) +FIXTURE_DATA_TEST_CASE(RunSmall, NEAbsLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine( + datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), + framework::dataset::make("InputQInfo", { QuantizationInfo(0.075, 6) })), + framework::dataset::make("OutputQInfo", { QuantizationInfo(0.1, -7) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); +} +TEST_SUITE_END() // QASYMM8_SIGNED + +TEST_SUITE_END() // Quantized TEST_SUITE_END() // AbsLayer TEST_SUITE_END() // Neon } // namespace validation diff --git a/tests/validation/NEON/ElementwiseExpLayer.cpp b/tests/validation/NEON/ElementwiseExpLayer.cpp index f9e5f39989..e8940c5385 100644 --- a/tests/validation/NEON/ElementwiseExpLayer.cpp +++ b/tests/validation/NEON/ElementwiseExpLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2021 Arm Limited. + * Copyright (c) 2018-2021, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -46,6 +46,8 @@ RelativeTolerance<float> tolerance_fp32(0.000001f); #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC RelativeTolerance<float> tolerance_fp16(0.01f); #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(0); +constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(0); } // namespace TEST_SUITE(NEON) TEST_SUITE(ExpLayer) @@ -53,6 +55,9 @@ TEST_SUITE(ExpLayer) template <typename T> using NEExpLayerFixture = ExpValidationFixture<Tensor, Accessor, NEExpLayer, T>; +template <typename T> +using NEExpLayerQuantizedFixture = ExpQuantizedValidationFixture<Tensor, Accessor, NEExpLayer, T>; + TEST_SUITE(Float) #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE(FP16) @@ -82,6 +87,33 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEExpLayerFixture<float>, framework::DatasetMod TEST_SUITE_END() // FP32 TEST_SUITE_END() // Float +TEST_SUITE(Quantized) +TEST_SUITE(QASYMM8) +FIXTURE_DATA_TEST_CASE(RunSmall, NEExpLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine( + datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::QASYMM8)), + framework::dataset::make("InputQInfo", { QuantizationInfo(0.01, 0) })), + framework::dataset::make("OutputQInfo", { QuantizationInfo(0.003, 10) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +TEST_SUITE_END() // QASYMM8 + +TEST_SUITE(QASYMM8_SIGNED) +FIXTURE_DATA_TEST_CASE(RunSmall, NEExpLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine( + datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), + framework::dataset::make("InputQInfo", { QuantizationInfo(0.02, -1) })), + framework::dataset::make("OutputQInfo", { QuantizationInfo(0.002, -2) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); +} +TEST_SUITE_END() // QASYMM8_SIGNED + +TEST_SUITE_END() // Quantized + TEST_SUITE_END() // ExpLayer TEST_SUITE_END() // Neon } // namespace validation diff --git a/tests/validation/NEON/ElementwiseLog.cpp b/tests/validation/NEON/ElementwiseLog.cpp index 3aa7fb3665..49a88ced1c 100644 --- a/tests/validation/NEON/ElementwiseLog.cpp +++ b/tests/validation/NEON/ElementwiseLog.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019-2021 Arm Limited. + * Copyright (c) 2019-2021, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -46,6 +46,8 @@ RelativeTolerance<float> tolerance_fp32(0.000001f); #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC RelativeTolerance<float> tolerance_fp16(0.01f); #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(0); +constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(0); } // namespace TEST_SUITE(NEON) TEST_SUITE(LogLayer) @@ -53,6 +55,9 @@ TEST_SUITE(LogLayer) template <typename T> using NELogLayerFixture = LogValidationFixture<Tensor, Accessor, NELogLayer, T>; +template <typename T> +using NELogLayerQuantizedFixture = LogQuantizedValidationFixture<Tensor, Accessor, NELogLayer, T>; + TEST_SUITE(Float) #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE(FP16) @@ -88,6 +93,33 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NELogLayerFixture<float>, framework::DatasetMod } TEST_SUITE_END() // FP32 TEST_SUITE_END() // Float + +TEST_SUITE(Quantized) +TEST_SUITE(QASYMM8) +FIXTURE_DATA_TEST_CASE(RunSmall, NELogLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine( + datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::QASYMM8)), + framework::dataset::make("InputQInfo", { QuantizationInfo(10.5, 0) })), + framework::dataset::make("OutputQInfo", { QuantizationInfo(5, 10) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +TEST_SUITE_END() // QASYMM8 + +TEST_SUITE(QASYMM8_SIGNED) +FIXTURE_DATA_TEST_CASE(RunSmall, NELogLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine( + datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), + framework::dataset::make("InputQInfo", { QuantizationInfo(0.75, -128) })), + framework::dataset::make("OutputQInfo", { QuantizationInfo(12.5, -2) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); +} +TEST_SUITE_END() // QASYMM8_SIGNED + +TEST_SUITE_END() // Quantized TEST_SUITE_END() // LogLayer TEST_SUITE_END() // Neon } // namespace validation diff --git a/tests/validation/NEON/ElementwiseNegation.cpp b/tests/validation/NEON/ElementwiseNegation.cpp index 0b63588d8a..038058c70c 100644 --- a/tests/validation/NEON/ElementwiseNegation.cpp +++ b/tests/validation/NEON/ElementwiseNegation.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019-2021 Arm Limited. + * Copyright (c) 2019-2021, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -46,6 +46,8 @@ RelativeTolerance<float> tolerance_fp32(0.000001f); #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC RelativeTolerance<float> tolerance_fp16(0.01f); #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(0); +constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(0); } // namespace TEST_SUITE(NEON) TEST_SUITE(NegLayer) @@ -53,6 +55,9 @@ TEST_SUITE(NegLayer) template <typename T> using NENegLayerFixture = NegValidationInPlaceFixture<Tensor, Accessor, NENegLayer, T>; +template <typename T> +using NENegLayerQuantizedFixture = NegQuantizedValidationFixture<Tensor, Accessor, NENegLayer, T>; + TEST_SUITE(Float) #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE(FP16) @@ -113,6 +118,32 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NENegLayerFixture<int32_t>, framework::DatasetM TEST_SUITE_END() // S32 TEST_SUITE_END() // Integer +TEST_SUITE(Quantized) +TEST_SUITE(QASYMM8) +FIXTURE_DATA_TEST_CASE(RunSmall, NENegLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine( + datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::QASYMM8)), + framework::dataset::make("InputQInfo", { QuantizationInfo(0.2, -3) })), + framework::dataset::make("OutputQInfo", { QuantizationInfo(0.5, 10) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +TEST_SUITE_END() // QASYMM8 + +TEST_SUITE(QASYMM8_SIGNED) +FIXTURE_DATA_TEST_CASE(RunSmall, NENegLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine( + datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), + framework::dataset::make("InputQInfo", { QuantizationInfo(0.075, 6) })), + framework::dataset::make("OutputQInfo", { QuantizationInfo(0.1, -7) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); +} +TEST_SUITE_END() // QASYMM8_SIGNED + +TEST_SUITE_END() // Quantized TEST_SUITE_END() // NegLayer TEST_SUITE_END() // Neon } // namespace validation diff --git a/tests/validation/NEON/ElementwiseRound.cpp b/tests/validation/NEON/ElementwiseRound.cpp index d2f0b456a0..a6ff47c830 100644 --- a/tests/validation/NEON/ElementwiseRound.cpp +++ b/tests/validation/NEON/ElementwiseRound.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019-2021 Arm Limited. + * Copyright (c) 2019-2021, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -40,12 +40,20 @@ namespace test { namespace validation { +namespace +{ +constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(0); +constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(0); +} // namespace TEST_SUITE(NEON) TEST_SUITE(RoundLayer) template <typename T> using NERoundLayerFixture = RoundValidationFixture<Tensor, Accessor, NERoundLayer, T>; +template <typename T> +using NERoundLayerQuantizedFixture = RoundQuantizedValidationFixture<Tensor, Accessor, NERoundLayer, T>; + TEST_SUITE(Float) #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE(FP16) @@ -81,6 +89,33 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NERoundLayerFixture<float>, framework::DatasetM } TEST_SUITE_END() // FP32 TEST_SUITE_END() // Float + +TEST_SUITE(Quantized) +TEST_SUITE(QASYMM8) +FIXTURE_DATA_TEST_CASE(RunSmall, NERoundLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine( + datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::QASYMM8)), + framework::dataset::make("InputQInfo", { QuantizationInfo(0.2, -3) })), + framework::dataset::make("OutputQInfo", { QuantizationInfo(0.5, 10) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +TEST_SUITE_END() // QASYMM8 + +TEST_SUITE(QASYMM8_SIGNED) +FIXTURE_DATA_TEST_CASE(RunSmall, NERoundLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine( + datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), + framework::dataset::make("InputQInfo", { QuantizationInfo(0.075, 6) })), + framework::dataset::make("OutputQInfo", { QuantizationInfo(0.1, -7) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); +} +TEST_SUITE_END() // QASYMM8_SIGNED + +TEST_SUITE_END() // Quantized TEST_SUITE_END() // RoundLayer TEST_SUITE_END() // Neon } // namespace validation diff --git a/tests/validation/NEON/ElementwiseRsqrtLayer.cpp b/tests/validation/NEON/ElementwiseRsqrtLayer.cpp index 2d52183b15..1d291ac6dc 100644 --- a/tests/validation/NEON/ElementwiseRsqrtLayer.cpp +++ b/tests/validation/NEON/ElementwiseRsqrtLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2021 Arm Limited. + * Copyright (c) 2018-2021, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -46,6 +46,8 @@ RelativeTolerance<float> tolerance_fp32(0.000001f); #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC RelativeTolerance<float> tolerance_fp16(0.01f); #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(0); +constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(0); } // namespace TEST_SUITE(NEON) TEST_SUITE(RsqrtLayer) @@ -72,6 +74,9 @@ TEST_SUITE_END() // DynamicShape template <typename T> using NERsqrtLayerFixture = RsqrtValidationFixture<Tensor, Accessor, NERsqrtLayer, T>; +template <typename T> +using NERsqrtLayerQuantizedFixture = RsqrtQuantizedValidationFixture<Tensor, Accessor, NERsqrtLayer, T>; + TEST_SUITE(Float) #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE(FP16) @@ -102,6 +107,32 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NERsqrtLayerFixture<float>, framework::DatasetM TEST_SUITE_END() // FP32 TEST_SUITE_END() // Float +TEST_SUITE(Quantized) +TEST_SUITE(QASYMM8) +FIXTURE_DATA_TEST_CASE(RunSmall, NERsqrtLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine( + datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::QASYMM8)), + framework::dataset::make("InputQInfo", { QuantizationInfo(20, 0) })), + framework::dataset::make("OutputQInfo", { QuantizationInfo(0.5, 10) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +TEST_SUITE_END() // QASYMM8 + +TEST_SUITE(QASYMM8_SIGNED) +FIXTURE_DATA_TEST_CASE(RunSmall, NERsqrtLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine( + datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), + framework::dataset::make("InputQInfo", { QuantizationInfo(25, -128) })), + framework::dataset::make("OutputQInfo", { QuantizationInfo(0.1, -7) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); +} +TEST_SUITE_END() // QASYMM8_SIGNED + +TEST_SUITE_END() // Quantized TEST_SUITE_END() // RsqrtLayer TEST_SUITE_END() // Neon } // namespace validation diff --git a/tests/validation/NEON/ElementwiseSin.cpp b/tests/validation/NEON/ElementwiseSin.cpp index 06775c0690..76f4c50b46 100644 --- a/tests/validation/NEON/ElementwiseSin.cpp +++ b/tests/validation/NEON/ElementwiseSin.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019-2021 Arm Limited. + * Copyright (c) 2019-2021, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -46,6 +46,8 @@ AbsoluteTolerance<float> tolerance_fp32(0.00001f); #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC AbsoluteTolerance<float> tolerance_fp16(0.0005f); #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(0); +constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(0); } // namespace TEST_SUITE(NEON) TEST_SUITE(SinLayer) @@ -53,6 +55,9 @@ TEST_SUITE(SinLayer) template <typename T> using NESinLayerFixture = SinValidationFixture<Tensor, Accessor, NESinLayer, T>; +template <typename T> +using NESinLayerQuantizedFixture = SinQuantizedValidationFixture<Tensor, Accessor, NESinLayer, T>; + TEST_SUITE(Float) #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE(FP16) @@ -89,6 +94,33 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NESinLayerFixture<float>, framework::DatasetMod TEST_SUITE_END() // FP32 TEST_SUITE_END() // Float +TEST_SUITE(Quantized) +TEST_SUITE(QASYMM8) +FIXTURE_DATA_TEST_CASE(RunSmall, NESinLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine( + datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::QASYMM8)), + framework::dataset::make("InputQInfo", { QuantizationInfo(0.2, -3) })), + framework::dataset::make("OutputQInfo", { QuantizationInfo(200, 10) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +TEST_SUITE_END() // QASYMM8 + +TEST_SUITE(QASYMM8_SIGNED) +FIXTURE_DATA_TEST_CASE(RunSmall, NESinLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine( + datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), + framework::dataset::make("InputQInfo", { QuantizationInfo(0.07, 6) })), + framework::dataset::make("OutputQInfo", { QuantizationInfo(123, -7) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); +} +TEST_SUITE_END() // QASYMM8_SIGNED + +TEST_SUITE_END() // Quantized + TEST_SUITE_END() // SinLayer TEST_SUITE_END() // Neon } // namespace validation |