From fd472f05dc73005a89a5e6275940ab5c9a609485 Mon Sep 17 00:00:00 2001
From: Viet-Hoa Do <viet-hoa.do@arm.com>
Date: Wed, 15 Mar 2023 14:05:06 +0000
Subject: Add quantized support for unary elementwise in CPU

* Add quantized unary elementwise in CPU using LUT.
* Widen the input data range of the test suite.
  - Fix CPU exponential function overflow/underflow range.
  - Fix saturation issue of CL round operator.

Resolves: COMPMID-5763
Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com>
Change-Id: I41445de2b4a33ec6b01e0ab701516c240c852d0b
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9367
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
---
 tests/validation/NEON/ElementwiseAbsoluteValue.cpp | 33 ++++++++++++++++++-
 tests/validation/NEON/ElementwiseExpLayer.cpp      | 34 +++++++++++++++++++-
 tests/validation/NEON/ElementwiseLog.cpp           | 34 +++++++++++++++++++-
 tests/validation/NEON/ElementwiseNegation.cpp      | 33 ++++++++++++++++++-
 tests/validation/NEON/ElementwiseRound.cpp         | 37 +++++++++++++++++++++-
 tests/validation/NEON/ElementwiseRsqrtLayer.cpp    | 33 ++++++++++++++++++-
 tests/validation/NEON/ElementwiseSin.cpp           | 34 +++++++++++++++++++-
 7 files changed, 231 insertions(+), 7 deletions(-)

(limited to 'tests/validation/NEON')

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
-- 
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