COMPMID-3502: Add support of different quantization input/output for ReduceMean

Change-Id: If9a5c6ee3902a7381f4117e473adbddf006f3347
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3731
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com>

6 files changed, 117 insertions, 38 deletions

diff --git a/tests/validation/CL/ReduceMean.cpp b/tests/validation/CL/ReduceMean.cpp
index cb1e38e3ac..1dc6c615a9 100644
--- a/tests/validation/CL/ReduceMean.cpp
+++ b/tests/validation/CL/ReduceMean.cpp
@@ -133,16 +133,33 @@ TEST_SUITE(QASYMM8)
 FIXTURE_DATA_TEST_CASE(RunSmall,
                        CLReduceMeanQuantizedFixture<uint8_t>,
                        framework::DatasetMode::PRECOMMIT,
-                       combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255, 5) })))
+                       combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)),
+                                       framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 255, 5) })),
+                               framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 255, 5) })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, tolerance_qasymm8);
 }
 
+TEST_SUITE(Requant)
+FIXTURE_DATA_TEST_CASE(RunSmall,
+                       CLReduceMeanQuantizedFixture<uint8_t>,
+                       framework::DatasetMode::PRECOMMIT,
+                       combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), axis_drop),
+                                       framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 255, 5) })),
+                               framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 200, 16) })))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_qasymm8);
+}
+TEST_SUITE_END() // Requant
+
 FIXTURE_DATA_TEST_CASE(RunLarge,
                        CLReduceMeanQuantizedFixture<uint8_t>,
                        framework::DatasetMode::NIGHTLY,
-                       combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255, 5) })))
+                       combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)),
+                                       framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 255, 5) })),
+                               framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 255, 5) })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, tolerance_qasymm8);
@@ -153,16 +170,33 @@ TEST_SUITE(QASYMM8_SIGNED)
 FIXTURE_DATA_TEST_CASE(RunSmall,
                        CLReduceMeanQuantizedFixture<int8_t>,
                        framework::DatasetMode::PRECOMMIT,
-                       combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), concat(axis_keep, axis_drop)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 102, 2) })))
+                       combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), concat(axis_keep, axis_drop)),
+                                       framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 102, 2) })),
+                               framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 102, 2) })))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_qasymm8);
+}
+
+TEST_SUITE(Requant)
+FIXTURE_DATA_TEST_CASE(RunSmall,
+                       CLReduceMeanQuantizedFixture<int8_t>,
+                       framework::DatasetMode::PRECOMMIT,
+                       combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), axis_drop),
+                                       framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 102, 2) })),
+                               framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 113, 10) })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, tolerance_qasymm8);
 }
+TEST_SUITE_END() // Requant
 
 FIXTURE_DATA_TEST_CASE(RunLarge,
                        CLReduceMeanQuantizedFixture<int8_t>,
                        framework::DatasetMode::NIGHTLY,
-                       combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), concat(axis_keep, axis_drop)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 102, 2) })))
+                       combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), concat(axis_keep, axis_drop)),
+                                       framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 102, 2) })),
+                               framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 102, 2) })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, tolerance_qasymm8);
diff --git a/tests/validation/NEON/ReduceMean.cpp b/tests/validation/NEON/ReduceMean.cpp
index 23229a08ef..e5a5a175fb 100644
--- a/tests/validation/NEON/ReduceMean.cpp
+++ b/tests/validation/NEON/ReduceMean.cpp
@@ -160,16 +160,33 @@ TEST_SUITE(QASYMM8)
 FIXTURE_DATA_TEST_CASE(RunSmall,
                        NEReduceMeanQuantizedFixture<uint8_t>,
                        framework::DatasetMode::PRECOMMIT,
-                       combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255, 5) })))
+                       combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)),
+                                       framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 255, 5) })),
+                               framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 255, 5) })))
 {
     // Validate output
     validate(Accessor(_target), _reference, tolerance_u8);
 }
 
+TEST_SUITE(Requant)
+FIXTURE_DATA_TEST_CASE(RunSmall,
+                       NEReduceMeanQuantizedFixture<uint8_t>,
+                       framework::DatasetMode::PRECOMMIT,
+                       combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), axis_drop),
+                                       framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 255, 5) })),
+                               framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 200, 16) })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_u8);
+}
+TEST_SUITE_END() // Requant
+
 FIXTURE_DATA_TEST_CASE(RunLarge,
                        NEReduceMeanQuantizedFixture<uint8_t>,
                        framework::DatasetMode::NIGHTLY,
-                       combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255, 5) })))
+                       combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)),
+                                       framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 255, 5) })),
+                               framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 255, 5) })))
 {
     // Validate output
     validate(Accessor(_target), _reference, tolerance_u8);
@@ -180,15 +197,32 @@ TEST_SUITE(QASYMM8_SIGNED)
 FIXTURE_DATA_TEST_CASE(RunSmall,
                        NEReduceMeanQuantizedFixture<int8_t>,
                        framework::DatasetMode::PRECOMMIT,
-                       combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), concat(axis_keep, axis_drop)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 127, -10), QuantizationInfo(1.f / 250, -20) })))
+                       combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), concat(axis_keep, axis_drop)),
+                                       framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 127, -10), QuantizationInfo(1.f / 250, -20) })),
+                               framework::dataset::make("QuantizationInfoInputOutput", { QuantizationInfo(1.f / 127, -10) })))
 {
     // Validate output
     validate(Accessor(_target), _reference, tolerance_s8);
 }
+TEST_SUITE(Requant)
+FIXTURE_DATA_TEST_CASE(RunSmall,
+                       NEReduceMeanQuantizedFixture<int8_t>,
+                       framework::DatasetMode::PRECOMMIT,
+                       combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), axis_drop),
+                                       framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 102, 2) })),
+                               framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 113, 10) })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_s8);
+}
+TEST_SUITE_END() // Requant
+
 FIXTURE_DATA_TEST_CASE(RunLarge,
                        NEReduceMeanQuantizedFixture<int8_t>,
                        framework::DatasetMode::NIGHTLY,
-                       combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), concat(axis_keep, axis_drop)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 127, 0) })))
+                       combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), concat(axis_keep, axis_drop)),
+                                       framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 127, -10) })),
+                               framework::dataset::make("QuantizationInfoInputOutput", { QuantizationInfo(1.f / 127, -10) })))
 {
     // Validate output
     validate(Accessor(_target), _reference, tolerance_s8);
diff --git a/tests/validation/fixtures/ReduceMeanFixture.h b/tests/validation/fixtures/ReduceMeanFixture.h
index d10292182f..72887616fe 100644
--- a/tests/validation/fixtures/ReduceMeanFixture.h
+++ b/tests/validation/fixtures/ReduceMeanFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2019 Arm Limited.
+ * Copyright (c) 2018-2020 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -26,6 +26,7 @@
 
 #include "arm_compute/core/TensorShape.h"
 #include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
 #include "arm_compute/runtime/Tensor.h"
 #include "tests/AssetsLibrary.h"
 #include "tests/Globals.h"
@@ -47,10 +48,10 @@ class ReduceMeanValidationFixture : public framework::Fixture
 {
 public:
     template <typename...>
-    void setup(TensorShape shape, DataType data_type, Coordinates axis, bool keep_dims, QuantizationInfo quantization_info)
+    void setup(TensorShape shape, DataType data_type, Coordinates axis, bool keep_dims, QuantizationInfo quantization_info_input, QuantizationInfo quantization_info_output)
     {
-        _target    = compute_target(shape, data_type, axis, keep_dims, quantization_info);
-        _reference = compute_reference(shape, data_type, axis, keep_dims, quantization_info);
+        _target    = compute_target(shape, data_type, axis, keep_dims, quantization_info_input, quantization_info_output);
+        _reference = compute_reference(shape, data_type, axis, keep_dims, quantization_info_input, quantization_info_output);
     }
 
 protected:
@@ -71,11 +72,12 @@ protected:
         }
     }
 
-    TensorType compute_target(TensorShape &src_shape, DataType data_type, Coordinates axis, bool keep_dims, QuantizationInfo quantization_info)
+    TensorType compute_target(TensorShape &src_shape, DataType data_type, Coordinates axis, bool keep_dims, QuantizationInfo quantization_info_input, QuantizationInfo quantization_info_output)
     {
         // Create tensors
-        TensorType src = create_tensor<TensorType>(src_shape, data_type, 1, quantization_info);
-        TensorType dst;
+        TensorType  src       = create_tensor<TensorType>(src_shape, data_type, 1, quantization_info_input);
+        TensorShape dst_shape = arm_compute::misc::shape_calculator::calculate_reduce_mean_shape(src.info(), axis, keep_dims);
+        TensorType  dst       = create_tensor<TensorType>(dst_shape, data_type, 1, quantization_info_output);
 
         // Create and configure function
         FunctionType reduction_mean;
@@ -100,10 +102,10 @@ protected:
         return dst;
     }
 
-    SimpleTensor<T> compute_reference(TensorShape &src_shape, DataType data_type, Coordinates axis, bool keep_dims, QuantizationInfo quantization_info)
+    SimpleTensor<T> compute_reference(TensorShape &src_shape, DataType data_type, Coordinates axis, bool keep_dims, QuantizationInfo quantization_info_input, QuantizationInfo quantization_info_output)
     {
         // Create reference
-        SimpleTensor<T> src{ src_shape, data_type, 1, quantization_info };
+        SimpleTensor<T> src{ src_shape, data_type, 1, quantization_info_input };
 
         // Fill reference
         fill(src);
@@ -113,7 +115,7 @@ protected:
         {
             TensorShape output_shape = i == 0 ? src_shape : out.shape();
             output_shape.set(axis[i], 1);
-            out = reference::reduction_operation<T, T>(i == 0 ? src : out, output_shape, axis[i], ReductionOperation::MEAN_SUM);
+            out = reference::reduction_operation<T, T>(i == 0 ? src : out, output_shape, axis[i], ReductionOperation::MEAN_SUM, quantization_info_output);
         }
 
         if(!keep_dims)
@@ -139,9 +141,9 @@ class ReduceMeanQuantizedFixture : public ReduceMeanValidationFixture<TensorType
 {
 public:
     template <typename...>
-    void setup(TensorShape shape, DataType data_type, Coordinates axis, bool keep_dims, QuantizationInfo quantization_info = QuantizationInfo())
+    void setup(TensorShape shape, DataType data_type, Coordinates axis, bool keep_dims, QuantizationInfo quantization_info_input, QuantizationInfo quantization_info_output)
     {
-        ReduceMeanValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, keep_dims, quantization_info);
+        ReduceMeanValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, keep_dims, quantization_info_input, quantization_info_output);
     }
 };
 
@@ -152,7 +154,7 @@ public:
     template <typename...>
     void setup(TensorShape shape, DataType data_type, Coordinates axis, bool keep_dims)
     {
-        ReduceMeanValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, keep_dims, QuantizationInfo());
+        ReduceMeanValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, keep_dims, QuantizationInfo(), QuantizationInfo());
     }
 };
 } // namespace validation
diff --git a/tests/validation/fixtures/ReductionOperationFixture.h b/tests/validation/fixtures/ReductionOperationFixture.h
index 3fb854454b..646518d2e8 100644
--- a/tests/validation/fixtures/ReductionOperationFixture.h
+++ b/tests/validation/fixtures/ReductionOperationFixture.h
@@ -126,7 +126,7 @@ protected:
         // Fill reference
         fill(src);
 
-        return reference::reduction_operation<T, T>(src, dst_shape, axis, op);
+        return reference::reduction_operation<T, T>(src, dst_shape, axis, op, quantization_info);
     }
 
     TensorType      _target{};
diff --git a/tests/validation/reference/ReductionOperation.cpp b/tests/validation/reference/ReductionOperation.cpp
index 5bdd4f7e95..ffb79f86c5 100644
--- a/tests/validation/reference/ReductionOperation.cpp
+++ b/tests/validation/reference/ReductionOperation.cpp
@@ -269,18 +269,19 @@ SimpleTensor<OT> compute_reduction_operation(const SimpleTensor<T> &src, const T
 }
 
 template <typename T, typename OT>
-SimpleTensor<OT> reduction_operation(const SimpleTensor<T> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op)
+SimpleTensor<OT> reduction_operation(const SimpleTensor<T> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info_output)
 {
+    ARM_COMPUTE_UNUSED(quantization_info_output);
     return compute_reduction_operation<T, OT>(src, dst_shape, axis, op);
 }
 
 template <>
-SimpleTensor<uint8_t> reduction_operation(const SimpleTensor<uint8_t> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op)
+SimpleTensor<uint8_t> reduction_operation(const SimpleTensor<uint8_t> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info_output)
 {
     if(src.data_type() == DataType::QASYMM8)
     {
         // If the operation is MEAN_SUM, we can directly use the uint8 implementation without taking into account scale and offset
-        if(op == ReductionOperation::MEAN_SUM)
+        if(op == ReductionOperation::MEAN_SUM && src.quantization_info() == quantization_info_output)
         {
             return compute_reduction_operation<uint8_t, uint8_t>(src, dst_shape, axis, op);
         }
@@ -288,7 +289,7 @@ SimpleTensor<uint8_t> reduction_operation(const SimpleTensor<uint8_t> &src, cons
         {
             SimpleTensor<float> src_f = convert_from_asymmetric(src);
             SimpleTensor<float> dst_f = reference::reduction_operation<float, float>(src_f, dst_shape, axis, op);
-            return convert_to_asymmetric<uint8_t>(dst_f, src.quantization_info());
+            return convert_to_asymmetric<uint8_t>(dst_f, quantization_info_output);
         }
     }
     else
@@ -298,12 +299,12 @@ SimpleTensor<uint8_t> reduction_operation(const SimpleTensor<uint8_t> &src, cons
 }
 
 template <>
-SimpleTensor<int8_t> reduction_operation(const SimpleTensor<int8_t> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op)
+SimpleTensor<int8_t> reduction_operation(const SimpleTensor<int8_t> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info_output)
 {
     if(src.data_type() == DataType::QASYMM8_SIGNED)
     {
         // If the operation is MEAN_SUM, we can directly use the int8 implementation without taking into account scale and offset
-        if(op == ReductionOperation::MEAN_SUM)
+        if(op == ReductionOperation::MEAN_SUM && src.quantization_info() == quantization_info_output)
         {
             return compute_reduction_operation<int8_t, int8_t>(src, dst_shape, axis, op);
         }
@@ -311,7 +312,7 @@ SimpleTensor<int8_t> reduction_operation(const SimpleTensor<int8_t> &src, const
         {
             SimpleTensor<float> src_f = convert_from_asymmetric(src);
             SimpleTensor<float> dst_f = reference::reduction_operation<float, float>(src_f, dst_shape, axis, op);
-            return convert_to_asymmetric<int8_t>(dst_f, src.quantization_info());
+            return convert_to_asymmetric<int8_t>(dst_f, quantization_info_output);
         }
     }
     else
@@ -320,14 +321,21 @@ SimpleTensor<int8_t> reduction_operation(const SimpleTensor<int8_t> &src, const
     }
 }
 
-template SimpleTensor<float> reduction_operation(const SimpleTensor<float> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op);
-template SimpleTensor<half> reduction_operation(const SimpleTensor<half> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op);
+template SimpleTensor<float> reduction_operation(const SimpleTensor<float> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op,
+                                                 QuantizationInfo quantization_info_output = QuantizationInfo());
+template SimpleTensor<half> reduction_operation(const SimpleTensor<half> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op,
+                                                QuantizationInfo quantization_info_output = QuantizationInfo());
 
-template SimpleTensor<int32_t> reduction_operation(const SimpleTensor<float> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op);
-template SimpleTensor<int32_t> reduction_operation(const SimpleTensor<int32_t> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op);
-template SimpleTensor<int32_t> reduction_operation(const SimpleTensor<half> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op);
-template SimpleTensor<int32_t> reduction_operation(const SimpleTensor<uint8_t> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op);
-template SimpleTensor<int32_t> reduction_operation(const SimpleTensor<int8_t> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op);
+template SimpleTensor<int32_t> reduction_operation(const SimpleTensor<float> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op,
+                                                   QuantizationInfo quantization_info_output = QuantizationInfo());
+template SimpleTensor<int32_t> reduction_operation(const SimpleTensor<int32_t> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op,
+                                                   QuantizationInfo quantization_info_output = QuantizationInfo());
+template SimpleTensor<int32_t> reduction_operation(const SimpleTensor<half> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op,
+                                                   QuantizationInfo quantization_info_output = QuantizationInfo());
+template SimpleTensor<int32_t> reduction_operation(const SimpleTensor<uint8_t> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op,
+                                                   QuantizationInfo quantization_info_output = QuantizationInfo());
+template SimpleTensor<int32_t> reduction_operation(const SimpleTensor<int8_t> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op,
+                                                   QuantizationInfo quantization_info_output = QuantizationInfo());
 
 } // namespace reference
 } // namespace validation
diff --git a/tests/validation/reference/ReductionOperation.h b/tests/validation/reference/ReductionOperation.h
index 56d37e4f4d..9c9e721b29 100644
--- a/tests/validation/reference/ReductionOperation.h
+++ b/tests/validation/reference/ReductionOperation.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2019 Arm Limited.
+ * Copyright (c) 2017-2020 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -36,7 +36,8 @@ namespace validation
 namespace reference
 {
 template <typename T, typename OT>
-SimpleTensor<OT> reduction_operation(const SimpleTensor<T> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op);
+SimpleTensor<OT> reduction_operation(const SimpleTensor<T> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op,
+                                     QuantizationInfo quantization_info_output = QuantizationInfo());
 } // namespace reference
 } // namespace validation
 } // namespace test