Make test fixture setup methods not be templated

This simplifies code slightly as nothing needs those functions to be function templates. Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com> Change-Id: If48694bf5677bb83426aeba952eb87174a42dff0 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/536135 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9907 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
author: Matthew Bentham <Matthew.Bentham@arm.com> 2023-07-12 11:54:59 +0000
committer: Matthew Bentham <matthew.bentham@arm.com> 2023-07-12 14:56:44 +0000
commit: 945b8da90cea5ccacc0294e58131f73f39137367 (patch)
tree: e3ae7bb1fc5ef28a683883c0eafef531e4f4fa2e
parent: ab0b75054ca3ddd62cff34518f331aa8474daa5a (diff)
download: ComputeLibrary-945b8da90cea5ccacc0294e58131f73f39137367.tar.gz
95 files changed, 87 insertions, 375 deletions
diff --git a/tests/benchmark/fixtures/ScaleFixture.h b/tests/benchmark/fixtures/ScaleFixture.h
index 953872ea64..81f34bd538 100644
--- a/tests/benchmark/fixtures/ScaleFixture.h
+++ b/tests/benchmark/fixtures/ScaleFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2020, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -40,7 +40,6 @@ template <typename TensorType, typename Function, typename Accessor>
 class ScaleFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, DataLayout data_layout, InterpolationPolicy policy, BorderMode border_mode, SamplingPolicy sampling_policy)
     {
         constexpr float max_width  = 8192.0f;
diff --git a/tests/benchmark/fixtures/ScaleLayerFixture.h b/tests/benchmark/fixtures/ScaleLayerFixture.h
index dbcdd33661..59cc12c77d 100644
--- a/tests/benchmark/fixtures/ScaleLayerFixture.h
+++ b/tests/benchmark/fixtures/ScaleLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -40,7 +40,6 @@ template <typename TensorType, typename Function, typename Accessor, typename T>
 class ScaleLayerFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, InterpolationPolicy policy, BorderMode border_mode, SamplingPolicy sampling_policy, float sx, float sy, DataType data_type)
     {
         constexpr float max_width  = 8192.0f;
diff --git a/tests/framework/Macros.h b/tests/framework/Macros.h
index ac03bb02b6..5ce0842864 100644
--- a/tests/framework/Macros.h
+++ b/tests/framework/Macros.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -127,13 +127,13 @@
     void do_setup() override                                     \
     {                                                            \
         framework::Framework::get().set_new_fixture_call(false); \
-        apply(this, &FIXTURE::setup<As...>, _data);              \
+        apply(this, &FIXTURE::setup, _data);              \
     }
 #define FIXTURE_DATA_SETUP_NEW(FIXTURE)                         \
     void do_setup() override                                    \
     {                                                           \
         framework::Framework::get().set_new_fixture_call(true); \
-        apply(this, &FIXTURE::setup<As...>, _data);             \
+        apply(this, &FIXTURE::setup, _data);             \
         configure_target();                                     \
         if(!framework::Framework::get().configure_only())       \
         {                                                       \
@@ -324,4 +324,4 @@
 //
 // TEST CASE MACROS END
 //
-#endif /* ARM_COMPUTE_TEST_FRAMEWORK_MACROS */
-\ No newline at end of file
+#endif /* ARM_COMPUTE_TEST_FRAMEWORK_MACROS */
diff --git a/tests/validation/fixtures/ActivationLayerFixture.h b/tests/validation/fixtures/ActivationLayerFixture.h
index 531b3abdf9..849c649b4c 100644
--- a/tests/validation/fixtures/ActivationLayerFixture.h
+++ b/tests/validation/fixtures/ActivationLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -52,7 +52,6 @@ public:
     {
     }
 
-    template <typename...>
     void setup(TensorShape shape, bool in_place, ActivationLayerInfo::ActivationFunction function, float alpha_beta, DataType data_type, QuantizationInfo quantization_info)
     {
         ActivationLayerInfo info(function, alpha_beta, alpha_beta);
@@ -234,7 +233,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ActivationValidationFixture : public ActivationValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, bool in_place, ActivationLayerInfo::ActivationFunction function, float alpha_beta, DataType data_type)
     {
         ActivationValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, in_place, function, alpha_beta, data_type, QuantizationInfo());
@@ -245,7 +243,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ActivationValidationQuantizedFixture : public ActivationValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, bool in_place, ActivationLayerInfo::ActivationFunction function, float alpha_beta, DataType data_type, QuantizationInfo quantization_info)
     {
         ActivationValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, in_place, function, alpha_beta, data_type, quantization_info);
diff --git a/tests/validation/fixtures/AddMulAddFixture.h b/tests/validation/fixtures/AddMulAddFixture.h
index fac2bfe528..a3a761bff1 100644
--- a/tests/validation/fixtures/AddMulAddFixture.h
+++ b/tests/validation/fixtures/AddMulAddFixture.h
@@ -49,7 +49,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class AddMulAddGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, ActivationLayerInfo &act_info, bool interm_out)
     {
         compute_target(shape, data_type, act_info, interm_out);
@@ -138,7 +137,6 @@ class AddMulAddFloatValidationFixture : public AddMulAddGenericFixture<TensorTyp
 public:
     using Parent = AddMulAddGenericFixture<TensorType, AccessorType, FunctionType, T>;
 
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, ActivationLayerInfo act_info)
     {
         Parent::setup(shape, data_type, act_info, interm_out);
@@ -195,7 +193,6 @@ class AddMulAddQuantizedValidationFixture : public AddMulAddGenericFixture<Tenso
 public:
     using Parent = AddMulAddGenericFixture<TensorType, AccessorType, FunctionType, T>;
 
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, ActivationLayerInfo act_info,
                QuantizationInfo input1_qinfo, QuantizationInfo input2_qinfo, QuantizationInfo bn_mul_qinfo,
                QuantizationInfo bn_add_qinfo, QuantizationInfo add_output_qinfo, QuantizationInfo final_output_qinfo)
diff --git a/tests/validation/fixtures/ArgMinMaxFixture.h b/tests/validation/fixtures/ArgMinMaxFixture.h
index 2bbce4077e..9a600b8645 100644
--- a/tests/validation/fixtures/ArgMinMaxFixture.h
+++ b/tests/validation/fixtures/ArgMinMaxFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2022 Arm Limited.
+ * Copyright (c) 2018-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -46,7 +46,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArgMinMaxValidationBaseFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo q_info)
     {
         _target    = compute_target(shape, data_type, axis, op, q_info);
@@ -147,7 +146,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArgMinMaxValidationQuantizedFixture : public ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo quantization_info)
     {
         ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, quantization_info);
@@ -158,7 +156,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArgMinMaxValidationFixture : public ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, int axis, ReductionOperation op)
     {
         ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, QuantizationInfo());
diff --git a/tests/validation/fixtures/ArithmeticDivisionFixture.h b/tests/validation/fixtures/ArithmeticDivisionFixture.h
index 2c2c01c31c..e11a386130 100644
--- a/tests/validation/fixtures/ArithmeticDivisionFixture.h
+++ b/tests/validation/fixtures/ArithmeticDivisionFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -44,7 +44,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticDivisionBroadcastValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type)
     {
         _target    = compute_target(shape0, shape1, data_type);
@@ -117,7 +116,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticDivisionValidationFixture : public ArithmeticDivisionBroadcastValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type)
     {
         ArithmeticDivisionBroadcastValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, shape, data_type);
diff --git a/tests/validation/fixtures/ArithmeticOperationsFixture.h b/tests/validation/fixtures/ArithmeticOperationsFixture.h
index 0f7e44e588..0785af1151 100644
--- a/tests/validation/fixtures/ArithmeticOperationsFixture.h
+++ b/tests/validation/fixtures/ArithmeticOperationsFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -45,7 +45,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticOperationGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(reference::ArithmeticOperation op, const TensorShape &shape0, const TensorShape &shape1, DataType data_type, ConvertPolicy convert_policy,
                QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, ActivationLayerInfo act_info, bool is_inplace)
     {
@@ -150,7 +149,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticAdditionBroadcastValidationFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type, ConvertPolicy convert_policy, bool is_inplace)
     {
         ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::ADD, shape0, shape1, data_type, convert_policy,
@@ -162,7 +160,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticAdditionValidationFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, ConvertPolicy convert_policy, bool is_inplace)
     {
         ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::ADD, shape, shape, data_type, convert_policy,
@@ -174,7 +171,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticAdditionBroadcastValidationFloatFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type, ConvertPolicy convert_policy, ActivationLayerInfo act_info, bool is_inplace)
     {
         ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::ADD, shape0, shape1, data_type, convert_policy,
@@ -186,7 +182,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticAdditionValidationFloatFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, ConvertPolicy convert_policy, ActivationLayerInfo act_info, bool is_inplace)
     {
         ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::ADD, shape, shape, data_type, convert_policy,
@@ -198,7 +193,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticAdditionValidationQuantizedFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, ConvertPolicy convert_policy, QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
 
     {
@@ -211,7 +205,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticAdditionValidationQuantizedBroadcastFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type, ConvertPolicy convert_policy, QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out,
                bool is_inplace)
     {
@@ -224,7 +217,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticSubtractionBroadcastValidationFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type, ConvertPolicy convert_policy, bool is_inplace)
     {
         ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::SUB, shape0, shape1, data_type, convert_policy,
@@ -236,7 +228,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticSubtractionBroadcastValidationFloatFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type, ConvertPolicy convert_policy, ActivationLayerInfo act_info,
                bool is_inplace)
     {
@@ -249,7 +240,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticSubtractionValidationFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, ConvertPolicy convert_policy, bool is_inplace)
     {
         ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::SUB, shape, shape, data_type, convert_policy,
@@ -261,7 +251,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticSubtractionValidationFloatFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, ConvertPolicy convert_policy, ActivationLayerInfo act_info, bool is_inplace)
     {
         ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::SUB, shape, shape, data_type, convert_policy,
@@ -273,7 +262,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticSubtractionValidationQuantizedFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, ConvertPolicy convert_policy, QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
 
     {
@@ -286,7 +274,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticSubtractionValidationQuantizedBroadcastFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type, ConvertPolicy convert_policy, QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out,
                bool is_inplace)
     {
diff --git a/tests/validation/fixtures/BatchNormalizationLayerFixture.h b/tests/validation/fixtures/BatchNormalizationLayerFixture.h
index 38b4d4375a..54a0ed9e09 100644
--- a/tests/validation/fixtures/BatchNormalizationLayerFixture.h
+++ b/tests/validation/fixtures/BatchNormalizationLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -44,7 +44,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class BatchNormalizationLayerValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape0, TensorShape shape1, float epsilon, bool use_beta, bool use_gamma, ActivationLayerInfo act_info, DataType dt, DataLayout data_layout)
     {
         _data_type = dt;
diff --git a/tests/validation/fixtures/BatchNormalizationLayerFusionFixture.h b/tests/validation/fixtures/BatchNormalizationLayerFusionFixture.h
index 1ffb8f38f3..161eeb0ef4 100644
--- a/tests/validation/fixtures/BatchNormalizationLayerFusionFixture.h
+++ b/tests/validation/fixtures/BatchNormalizationLayerFusionFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -45,7 +45,6 @@ template <typename TensorType, typename AccessorType, typename ConvolutionFuncti
 class BatchNormalizationLayerFusionValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape src_shape, TensorShape w_shape, TensorShape b_shape, TensorShape dst_shape, PadStrideInfo info, Size2D dilation,
                bool use_conv_b, bool use_beta, bool use_gamma, float epsilon, DataType dt, DataLayout data_layout)
     {
diff --git a/tests/validation/fixtures/BatchToSpaceLayerFixture.h b/tests/validation/fixtures/BatchToSpaceLayerFixture.h
index 19fc82a87b..56a6109dbc 100644
--- a/tests/validation/fixtures/BatchToSpaceLayerFixture.h
+++ b/tests/validation/fixtures/BatchToSpaceLayerFixture.h
@@ -40,7 +40,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class BatchToSpaceLayerValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(const TensorShape &input_shape, const std::vector<int32_t> &block_shape, const CropInfo &crop_info, const TensorShape &output_shape, DataType data_type, DataLayout data_layout)
     {
         _target    = compute_target(input_shape, block_shape, crop_info, output_shape, data_type, data_layout);
diff --git a/tests/validation/fixtures/BitwiseAndFixture.h b/tests/validation/fixtures/BitwiseAndFixture.h
index 0550532e4b..745a34058e 100644
--- a/tests/validation/fixtures/BitwiseAndFixture.h
+++ b/tests/validation/fixtures/BitwiseAndFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -43,7 +43,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class BitwiseAndValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type)
     {
         _target    = compute_target(shape, data_type);
diff --git a/tests/validation/fixtures/BitwiseNotFixture.h b/tests/validation/fixtures/BitwiseNotFixture.h
index 9cf1938381..bdfd255156 100644
--- a/tests/validation/fixtures/BitwiseNotFixture.h
+++ b/tests/validation/fixtures/BitwiseNotFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -43,7 +43,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class BitwiseNotValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type)
     {
         _target    = compute_target(shape, data_type);
diff --git a/tests/validation/fixtures/BitwiseOrFixture.h b/tests/validation/fixtures/BitwiseOrFixture.h
index c4fc7d7c22..03560e0171 100644
--- a/tests/validation/fixtures/BitwiseOrFixture.h
+++ b/tests/validation/fixtures/BitwiseOrFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -43,7 +43,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class BitwiseOrValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type)
     {
         _target    = compute_target(shape, data_type);
diff --git a/tests/validation/fixtures/BitwiseXorFixture.h b/tests/validation/fixtures/BitwiseXorFixture.h
index 479694c78e..4872b231a5 100644
--- a/tests/validation/fixtures/BitwiseXorFixture.h
+++ b/tests/validation/fixtures/BitwiseXorFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -43,7 +43,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class BitwiseXorValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type)
     {
         _target    = compute_target(shape, data_type);
diff --git a/tests/validation/fixtures/BoundingBoxTransformFixture.h b/tests/validation/fixtures/BoundingBoxTransformFixture.h
index cd6ce99796..03edaeab16 100644
--- a/tests/validation/fixtures/BoundingBoxTransformFixture.h
+++ b/tests/validation/fixtures/BoundingBoxTransformFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -102,7 +102,6 @@ class BoundingBoxTransformGenericFixture : public framework::Fixture
 public:
     using TDeltas = typename std::conditional<std::is_same<typename std::decay<T>::type, uint16_t>::value, uint8_t, T>::type;
 
-    template <typename...>
     void setup(TensorShape deltas_shape, const BoundingBoxTransformInfo &info, DataType data_type, QuantizationInfo deltas_qinfo)
     {
         const bool is_qasymm16 = data_type == DataType::QASYMM16;
@@ -215,7 +214,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class BoundingBoxTransformFixture : public BoundingBoxTransformGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape deltas_shape, const BoundingBoxTransformInfo &info, DataType data_type)
     {
         BoundingBoxTransformGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(deltas_shape, info, data_type, QuantizationInfo());
@@ -228,7 +226,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class BoundingBoxTransformQuantizedFixture : public BoundingBoxTransformGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape deltas_shape, const BoundingBoxTransformInfo &info, DataType data_type, QuantizationInfo deltas_qinfo)
     {
         BoundingBoxTransformGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(deltas_shape, info, data_type, deltas_qinfo);
diff --git a/tests/validation/fixtures/CastFixture.h b/tests/validation/fixtures/CastFixture.h
index 056f664261..60b4c2b314 100644
--- a/tests/validation/fixtures/CastFixture.h
+++ b/tests/validation/fixtures/CastFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -36,7 +36,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class CastValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy)
     {
         _target    = compute_target(shape, dt_in, dt_out, policy);
diff --git a/tests/validation/fixtures/ChannelShuffleLayerFixture.h b/tests/validation/fixtures/ChannelShuffleLayerFixture.h
index 9199d9296d..530dba3893 100644
--- a/tests/validation/fixtures/ChannelShuffleLayerFixture.h
+++ b/tests/validation/fixtures/ChannelShuffleLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -45,7 +45,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ChannelShuffleLayerValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, unsigned int num_groups, DataType data_type, DataLayout data_layout)
     {
         _target    = compute_target(shape, data_type, num_groups, data_layout);
diff --git a/tests/validation/fixtures/Col2ImFixture.h b/tests/validation/fixtures/Col2ImFixture.h
index ee7a14f844..4d56d607b7 100644
--- a/tests/validation/fixtures/Col2ImFixture.h
+++ b/tests/validation/fixtures/Col2ImFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -48,7 +48,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class Col2ImOpValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, const unsigned int convolved_width, unsigned int convolved_height, unsigned int num_groups, DataType data_type)
     {
         const Size2D convolved_dims(convolved_width, convolved_height);
diff --git a/tests/validation/fixtures/ComparisonFixture.h b/tests/validation/fixtures/ComparisonFixture.h
index 6b38a376a4..f25d5abb73 100644
--- a/tests/validation/fixtures/ComparisonFixture.h
+++ b/tests/validation/fixtures/ComparisonFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -44,7 +44,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ComparisonValidationGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(ComparisonOperation op, const TensorShape &shape0, const TensorShape &shape1, DataType data_type, QuantizationInfo qinfo0, QuantizationInfo qinfo1)
     {
         _target    = compute_target(op, shape0, shape1, data_type, qinfo0, qinfo1);
@@ -117,7 +116,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ComparisonBroadcastValidationFixture : public ComparisonValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(ComparisonOperation op, const TensorShape &shape0, const TensorShape &shape1, DataType data_type)
     {
         ComparisonValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(op, shape0, shape1, data_type, QuantizationInfo(), QuantizationInfo());
@@ -128,7 +126,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ComparisonValidationFixture : public ComparisonValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(ComparisonOperation op, const TensorShape &shape, DataType data_type)
     {
         ComparisonValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(op, shape, shape, data_type, QuantizationInfo(), QuantizationInfo());
@@ -139,7 +136,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ComparisonValidationQuantizedFixture : public ComparisonValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(ComparisonOperation op, const TensorShape &shape, DataType data_type, QuantizationInfo qinfo0, QuantizationInfo qinfo1)
 
     {
@@ -151,7 +147,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ComparisonQuantizedBroadcastValidationFixture : public ComparisonValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(ComparisonOperation op, const TensorShape &shape0, const TensorShape &shape1, DataType data_type, QuantizationInfo qinfo0, QuantizationInfo qinfo1)
     {
         ComparisonValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(op, shape0, shape1, data_type, qinfo0, qinfo1);
diff --git a/tests/validation/fixtures/ComputeAllAnchorsFixture.h b/tests/validation/fixtures/ComputeAllAnchorsFixture.h
index e0fe35ba6f..620f1b53fa 100644
--- a/tests/validation/fixtures/ComputeAllAnchorsFixture.h
+++ b/tests/validation/fixtures/ComputeAllAnchorsFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2021 Arm Limited.
+ * Copyright (c) 2019-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -44,7 +44,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ComputeAllAnchorsGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(size_t num_anchors, const ComputeAnchorsInfo &info, DataType data_type, QuantizationInfo qinfo)
     {
         _target    = compute_target(num_anchors, data_type, info, qinfo);
@@ -107,7 +106,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ComputeAllAnchorsFixture : public ComputeAllAnchorsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(size_t num_anchors, const ComputeAnchorsInfo &info, DataType data_type)
     {
         ComputeAllAnchorsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(num_anchors, info, data_type, QuantizationInfo());
@@ -118,7 +116,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ComputeAllAnchorsQuantizedFixture : public ComputeAllAnchorsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(size_t num_anchors, const ComputeAnchorsInfo &info, DataType data_type, QuantizationInfo qinfo)
     {
         ComputeAllAnchorsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(num_anchors, info, data_type, qinfo);
diff --git a/tests/validation/fixtures/ConcatenateLayerFixture.h b/tests/validation/fixtures/ConcatenateLayerFixture.h
index bafb8b2392..3a021661ac 100644
--- a/tests/validation/fixtures/ConcatenateLayerFixture.h
+++ b/tests/validation/fixtures/ConcatenateLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -50,7 +50,6 @@ private:
     using SrcITensorType = typename std::conditional<CI, const ITensorType, ITensorType>::type;
 
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, unsigned int axis)
     {
         // Create input shapes
diff --git a/tests/validation/fixtures/ConvertFullyConnectedWeightsFixture.h b/tests/validation/fixtures/ConvertFullyConnectedWeightsFixture.h
index 38088b4000..7ad14e1b40 100644
--- a/tests/validation/fixtures/ConvertFullyConnectedWeightsFixture.h
+++ b/tests/validation/fixtures/ConvertFullyConnectedWeightsFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2022 Arm Limited.
+ * Copyright (c) 2018-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -43,7 +43,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ConvertFullyConnectedWeightsValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, unsigned int weights_w, DataLayout training_data_layout, DataType data_type)
     {
         const unsigned int height = input_shape.x() * input_shape.y() * input_shape.z();
diff --git a/tests/validation/fixtures/ConvolutionLayerFixture.h b/tests/validation/fixtures/ConvolutionLayerFixture.h
index e4c2e4bfea..8562955b79 100644
--- a/tests/validation/fixtures/ConvolutionLayerFixture.h
+++ b/tests/validation/fixtures/ConvolutionLayerFixture.h
@@ -92,7 +92,6 @@ public:
                   int32_t, T >::type;
 
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation, bool reshape_weights,
                DataType data_type, DataType weights_data_type, DataLayout data_layout, QuantizationInfo quantization_info, QuantizationInfo weight_quantization_info, ActivationLayerInfo act_info,
                bool mixed_layout = false, PaddingList pre_pad_layer = PaddingList({}))
@@ -362,7 +361,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ConvolutionValidationFixture : public ConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation, bool reshape_weights, DataType data_type,
                DataLayout data_layout, ActivationLayerInfo act_info)
     {
@@ -376,7 +374,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ConvolutionValidationWithPaddingFixture : public ConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation, bool reshape_weights, DataType data_type,
                DataLayout data_layout, ActivationLayerInfo act_info, PaddingList pre_pad_layer = PaddingList({}))
     {
@@ -390,7 +387,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ConvolutionValidationQuantizedFixture : public ConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation, bool reshape_weights, DataType data_type,
                DataLayout data_layout, QuantizationInfo quantization_info, ActivationLayerInfo act_info)
     {
@@ -403,7 +399,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ConvolutionValidationQuantizedPerChannelFixture : public ConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T, TW>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation, bool reshape_weights, DataType data_type,
                DataLayout data_layout, QuantizationInfo quantization_info, ActivationLayerInfo act_info, DataType weights_data_type)
     {
@@ -514,7 +509,6 @@ template <typename ConvolutionFunction, typename TensorClass, typename AccessorT
 class VariableWeightsFixtureBaseClass : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation, DataLayout data_layout,
                const DataType data_type)
     {
@@ -702,7 +696,6 @@ template <typename ConvolutionClass, bool enable_fast_math>
 class HasOptImplFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(DataType data_type, arm_compute::WeightFormat query_weight_format)
     {
         auto              conv        = std::make_unique<ConvolutionClass>();
diff --git a/tests/validation/fixtures/CopyFixture.h b/tests/validation/fixtures/CopyFixture.h
index eca75e7b69..f5e711a500 100644
--- a/tests/validation/fixtures/CopyFixture.h
+++ b/tests/validation/fixtures/CopyFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -43,7 +43,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class CopyFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape output_shape, DataType data_type)
     {
         _target    = compute_target(input_shape, output_shape, data_type);
diff --git a/tests/validation/fixtures/CropResizeFixture.h b/tests/validation/fixtures/CropResizeFixture.h
index 5aa63c4ef8..30a3fd8569 100644
--- a/tests/validation/fixtures/CropResizeFixture.h
+++ b/tests/validation/fixtures/CropResizeFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2021 Arm Limited.
+ * Copyright (c) 2019-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -46,7 +46,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class CropResizeFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape src_shape, TensorShape boxes_shape, Coordinates2D crop_size, InterpolationPolicy method,
                float extrapolation_value, bool is_outside_bounds, DataType data_type)
     {
diff --git a/tests/validation/fixtures/DeconvolutionLayerFixture.h b/tests/validation/fixtures/DeconvolutionLayerFixture.h
index 947dc10da2..83170c413c 100644
--- a/tests/validation/fixtures/DeconvolutionLayerFixture.h
+++ b/tests/validation/fixtures/DeconvolutionLayerFixture.h
@@ -49,7 +49,6 @@ public:
     using TBias = typename std::conditional < std::is_same<typename std::decay<T>::type, uint8_t>::value || std::is_same<typename std::decay<T>::type, int8_t>::value, int32_t, T >::type;
 
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info,
                DataType data_type, DataType weights_data_type, DataLayout data_layout,
                QuantizationInfo input_quantization_info, QuantizationInfo output_quantization_info, QuantizationInfo weights_quantization_info, bool add_bias)
@@ -246,7 +245,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DeconvolutionValidationFixture : public DeconvolutionLayerFixtureBase<TensorType, AccessorType, FunctionType, T, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, unsigned int sx, unsigned int sy, unsigned int padx, unsigned int pady,
                unsigned int num_kernels, DataType data_type, DataLayout data_layout, bool add_bias)
     {
@@ -266,7 +264,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DeconvolutionValidationAsymmFixture : public DeconvolutionLayerFixtureBase<TensorType, AccessorType, FunctionType, T, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, unsigned int sx, unsigned int sy, unsigned int pad_left, unsigned int pad_right, unsigned int pad_top,
                unsigned int pad_bottom, unsigned int num_kernels, DataType data_type, DataLayout data_layout, bool add_bias)
     {
@@ -286,7 +283,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DeconvolutionValidationQuantizedFixture : public DeconvolutionLayerFixtureBase<TensorType, AccessorType, FunctionType, T, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, unsigned int sx, unsigned int sy, unsigned int padx, unsigned int pady,
                unsigned int num_kernels, DataType data_type, DataLayout data_layout, QuantizationInfo input_quantization_info, QuantizationInfo output_quantization_info, bool add_bias)
     {
@@ -307,7 +303,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DeconvolutionValidationQuantizedPerChannelFixture : public DeconvolutionLayerFixtureBase<TensorType, AccessorType, FunctionType, T, TW>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, unsigned int sx, unsigned int sy, unsigned int padx, unsigned int pady,
                unsigned int num_kernels, DataType data_type, DataLayout data_layout, QuantizationInfo input_quantization_info, QuantizationInfo output_quantization_info, bool add_bias,
                DataType weights_data_type)
diff --git a/tests/validation/fixtures/DepthConvertLayerFixture.h b/tests/validation/fixtures/DepthConvertLayerFixture.h
index 53d29b44ba..f55d20bf3e 100644
--- a/tests/validation/fixtures/DepthConvertLayerFixture.h
+++ b/tests/validation/fixtures/DepthConvertLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2022 Arm Limited.
+ * Copyright (c) 2017-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -45,7 +45,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DepthConvertLayerValidationBaseFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift, QuantizationInfo quantization_info)
     {
         _shift             = shift;
@@ -130,7 +129,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 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,
@@ -142,7 +140,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 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,
diff --git a/tests/validation/fixtures/DepthToSpaceLayerFixture.h b/tests/validation/fixtures/DepthToSpaceLayerFixture.h
index b7f5552474..abe3d8b22f 100644
--- a/tests/validation/fixtures/DepthToSpaceLayerFixture.h
+++ b/tests/validation/fixtures/DepthToSpaceLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2021 Arm Limited.
+ * Copyright (c) 2019-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -39,7 +39,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DepthToSpaceLayerValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, int32_t block_shape, TensorShape output_shape, DataType data_type, DataLayout data_layout)
     {
         _target    = compute_target(input_shape, block_shape, output_shape, data_type, data_layout);
diff --git a/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h b/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h
index a08080a665..5a00c7c2d6 100644
--- a/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h
+++ b/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2022 Arm Limited.
+ * Copyright (c) 2017-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -55,7 +55,6 @@ public:
     using TBias = typename std::conditional < std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int32_t, T >::type;
 
 public:
-    template <typename...>
     void setup(TensorShape in_shape, Size2D kernel_size, PadStrideInfo pad_stride_info, Size2D dilation,
                unsigned int depth_multiplier, DataType input_data_type, DataType weights_data_type,
                QuantizationInfo input_quantization_info, QuantizationInfo weights_quantization_info, QuantizationInfo output_quantization_info,
@@ -289,7 +288,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DepthwiseConvolutionLayerValidationFixture : public DepthwiseConvolutionLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape in_shape, Size2D kernel_size, PadStrideInfo pad_stride_info, Size2D dilation, unsigned int depth_multiplier, DataType data_type, DataLayout data_layout,
                ActivationLayerInfo act_info)
     {
@@ -303,7 +301,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DepthwiseConvolutionLayerNativeValidationFixture : public DepthwiseConvolutionLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T, T>
 {
 public:
-    template <typename...>
     void setup(size_t width, size_t height, size_t channel, size_t batch, Size2D kernel_size, size_t depth_multiplier, Size2D dilation, Size2D stride, bool padding_valid, DataType data_type,
                DataLayout data_layout)
     {
@@ -442,7 +439,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DepthwiseConvolutionLayerNativeConfigurableValidationFixture : public DepthwiseConvolutionLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T, T>
 {
 public:
-    template <typename...>
     void setup(size_t width, size_t height, size_t channel, size_t batch, Size2D kernel_size, size_t depth_multiplier, Size2D dilation, Size2D stride, bool padding_valid, DataType data_type,
                DataLayout data_layout, const ActivationLayerInfo &act_info, unsigned int n0, bool export_to_cl_image)
     {
@@ -640,7 +636,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DepthwiseConvolutionLayerValidationQuantizedFixture : public DepthwiseConvolutionLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape in_shape, Size2D kernel_size, PadStrideInfo pad_stride_info, Size2D dilation, unsigned int depth_multiplier, DataType data_type,
                QuantizationInfo input_quantization_info, QuantizationInfo output_quantization_info, DataLayout data_layout, ActivationLayerInfo act_info)
     {
@@ -654,7 +649,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DepthwiseConvolutionLayerValidationQuantizedPerChannelFixture : public DepthwiseConvolutionLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T, TW>
 {
 public:
-    template <typename...>
     void setup(TensorShape in_shape, Size2D kernel_size, PadStrideInfo pad_stride_info, Size2D dilation, unsigned int depth_multiplier, DataType input_data_type, DataType weights_data_type,
                QuantizationInfo input_quantization_info, QuantizationInfo output_quantization_info, DataLayout data_layout, ActivationLayerInfo act_info)
     {
diff --git a/tests/validation/fixtures/DequantizationLayerFixture.h b/tests/validation/fixtures/DequantizationLayerFixture.h
index af998bb740..4eb25a5bc5 100644
--- a/tests/validation/fixtures/DequantizationLayerFixture.h
+++ b/tests/validation/fixtures/DequantizationLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -47,7 +47,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DequantizationValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType src_data_type, DataType dst_datatype, DataLayout data_layout)
     {
         _quantization_info = generate_quantization_info(src_data_type, shape.z());
diff --git a/tests/validation/fixtures/DirectConvolution3DFixture.h b/tests/validation/fixtures/DirectConvolution3DFixture.h
index 2250dcaeb0..6aad5490d9 100644
--- a/tests/validation/fixtures/DirectConvolution3DFixture.h
+++ b/tests/validation/fixtures/DirectConvolution3DFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2021 Arm Limited.
+ * Copyright (c) 2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -42,7 +42,6 @@ class DirectConvolution3DValidationGenericFixture : public framework::Fixture
 public:
     using TBias = typename std::conditional < std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int32_t, T >::type;
 
-    template <typename...>
     void setup(const TensorShape &input_shape, int stride_x, int stride_y, int stride_z, int pad_x, int pad_y, int pad_z, unsigned int kernel_width, int kernel_height, int kernel_depth,
                unsigned int num_kernels, bool has_bias, const ActivationLayerInfo &act_info, const DataType &data_type, const DataLayout &data_layout,
                const QuantizationInfo &src_qinfo = QuantizationInfo(), const QuantizationInfo &weights_qinfo = QuantizationInfo(), const QuantizationInfo &dst_qinfo = QuantizationInfo())
@@ -157,7 +156,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DirectConvolution3DValidationFixture : public DirectConvolution3DValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, int stride_x, int stride_y, int stride_z, int pad_x, int pad_y, int pad_z, unsigned int kernel_width, int kernel_height, int kernel_depth,
                unsigned int num_kernels, bool has_bias, ActivationLayerInfo act_info, DataType data_type, DataLayout data_layout)
     {
@@ -170,7 +168,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DirectConvolution3DValidationQuantizedFixture : public DirectConvolution3DValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, int stride_x, int stride_y, int stride_z, int pad_x, int pad_y, int pad_z, unsigned int kernel_width, int kernel_height, int kernel_depth,
                unsigned int num_kernels, bool has_bias, ActivationLayerInfo act_info, DataType data_type, DataLayout data_layout, QuantizationInfo src_qinfo, QuantizationInfo weights_qinfo,
                QuantizationInfo dst_qinfo)
diff --git a/tests/validation/fixtures/DirectConvolutionLayerFixture.h b/tests/validation/fixtures/DirectConvolutionLayerFixture.h
index 31186e2b1d..a666ff96a5 100644
--- a/tests/validation/fixtures/DirectConvolutionLayerFixture.h
+++ b/tests/validation/fixtures/DirectConvolutionLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2022 Arm Limited.
+ * Copyright (c) 2017-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -51,7 +51,6 @@ class DirectConvolutionValidationGenericFixture : public framework::Fixture
 public:
     using TBias = typename std::conditional < std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int32_t, T >::type;
 
-    template <typename...>
     void setup(TensorShape input_shape, int stride_x, int stride_y, int pad_x, int pad_y, unsigned int kernel_size, unsigned int num_kernels,
                DataType data_type, QuantizationInfo quantization_info, ActivationLayerInfo act_info, DataLayout data_layout, bool mixed_layout = false)
     {
@@ -73,7 +72,6 @@ public:
         _reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, info, data_type, bias_data_type, quantization_info, act_info);
     }
 
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation,
                DataType data_type, QuantizationInfo quantization_info, ActivationLayerInfo act_info, DataLayout data_layout)
     {
@@ -230,7 +228,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DirectConvolutionValidationFixture : public DirectConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, int stride_x, int stride_y, int pad_x, int pad_y, unsigned int kernel_size, unsigned int num_kernels, DataType data_type, ActivationLayerInfo act_info,
                DataLayout data_layout)
     {
@@ -243,7 +240,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DirectConvolutionValidationQuantizedFixture : public DirectConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, int stride_x, int stride_y, int pad_x, int pad_y, unsigned int kernel_size, unsigned int num_kernels, DataType data_type, QuantizationInfo quantization_info,
                ActivationLayerInfo act_info, DataLayout data_layout)
     {
@@ -256,7 +252,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DirectConvolutionValidationWithTensorShapesQuantizedFixture : public DirectConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation,
                DataType data_type, QuantizationInfo quantization_info, ActivationLayerInfo act_info, DataLayout data_layout)
     {
@@ -269,7 +264,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DirectConvolutionValidationWithTensorShapesFixture : public DirectConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation,
                DataType data_type, ActivationLayerInfo act_info)
     {
diff --git a/tests/validation/fixtures/DropoutLayerFixture.h b/tests/validation/fixtures/DropoutLayerFixture.h
index 2a91911410..a84f2a6407 100644
--- a/tests/validation/fixtures/DropoutLayerFixture.h
+++ b/tests/validation/fixtures/DropoutLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -46,7 +46,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DropoutLayerValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, float ratio, bool forward, DataType data_type)
     {
         _target = compute_target(shape, ratio, forward, data_type);
diff --git a/tests/validation/fixtures/ElementwiseOperationsFixture.h b/tests/validation/fixtures/ElementwiseOperationsFixture.h
index 6f31a730ae..b5547b6762 100644
--- a/tests/validation/fixtures/ElementwiseOperationsFixture.h
+++ b/tests/validation/fixtures/ElementwiseOperationsFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -46,7 +46,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticOperationsGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(ArithmeticOperation op, const TensorShape &shape0, const TensorShape &shape1,
                DataType data_type0, DataType data_type1, DataType output_data_type,
                QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace = false, bool use_dynamic_shape = false)
@@ -187,7 +186,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticOperationsFuseActivationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(ArithmeticOperation op, const TensorShape &shape0, const TensorShape &shape1,
                DataType data_type0, DataType data_type1, DataType output_data_type,
                QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, ActivationLayerInfo act_info, bool is_inplace = true)
@@ -277,7 +275,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticDivisionBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace)
     {
         ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape0, shape1,
@@ -290,7 +287,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticDivisionValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace)
     {
         ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape, shape,
@@ -303,7 +299,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticDivisionBroadcastDynamicShapeValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace)
     {
         ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape0, shape1,
@@ -316,7 +311,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticDivisionDynamicShapeValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace)
     {
         ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape, shape,
@@ -329,7 +323,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticDivisionBroadcastValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace)
     {
         ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape0, shape1,
@@ -342,7 +335,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticDivisionValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace)
     {
         ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape, shape,
@@ -355,7 +347,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticDivisionValidationIntegerFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace)
     {
         ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape, shape,
@@ -368,7 +359,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ArithmeticDivisionValidationQuantizedFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type,
                QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
 
@@ -383,7 +373,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseMaxBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace)
     {
         ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MAX, shape0, shape1,
@@ -396,7 +385,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseMaxValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace)
     {
         ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MAX, shape, shape,
@@ -409,7 +397,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseMaxBroadcastValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace)
     {
         ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MAX, shape0, shape1,
@@ -422,7 +409,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseMaxValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace)
     {
         ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MAX, shape, shape,
@@ -435,7 +421,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseMaxValidationQuantizedFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type,
                QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
 
@@ -450,7 +435,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseMaxQuantizedBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type,
                QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
 
@@ -465,7 +449,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseMinBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace)
     {
         ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MIN, shape0, shape1,
@@ -478,7 +461,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseMinValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace)
     {
         ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MIN, shape, shape,
@@ -491,7 +473,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseMinBroadcastValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace)
     {
         ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MIN, shape0, shape1,
@@ -504,7 +485,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseMinValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace)
     {
         ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MIN, shape, shape,
@@ -517,7 +497,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseMinValidationQuantizedFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type,
                QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
 
@@ -532,7 +511,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseMinQuantizedBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type,
                QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
 
@@ -547,7 +525,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseSquaredDiffBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace)
     {
         ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::SQUARED_DIFF, shape0, shape1,
@@ -560,7 +537,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseSquaredDiffValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace)
     {
         ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::SQUARED_DIFF, shape, shape,
@@ -573,7 +549,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseSquaredDiffBroadcastValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace)
     {
         ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::SQUARED_DIFF, shape0, shape1,
@@ -586,7 +561,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseSquaredDiffValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace)
     {
         ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::SQUARED_DIFF, shape, shape,
@@ -599,7 +573,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseSquaredDiffValidationQuantizedFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type,
                QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
 
@@ -614,7 +587,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwiseSquaredDiffQuantizedBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type,
                QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
 
@@ -629,7 +601,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PReluLayerBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type)
     {
         ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::PRELU, shape0, shape1,
@@ -642,7 +613,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PReluLayerValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type)
     {
         ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::PRELU, shape, shape,
@@ -655,7 +625,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PReluLayerValidationQuantizedFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type,
                QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
 
@@ -670,7 +639,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PReluLayerQuantizedBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type,
                QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
 
@@ -685,7 +653,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwisePowerBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace)
     {
         ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::POWER, shape0, shape1,
@@ -698,7 +665,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwisePowerValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace)
     {
         ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::POWER, shape, shape,
@@ -711,7 +677,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwisePowerBroadcastValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace)
     {
         ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::POWER, shape0, shape1,
@@ -724,7 +689,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementwisePowerValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace)
     {
         ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::POWER, shape, shape,
diff --git a/tests/validation/fixtures/ElementwiseUnaryFixture.h b/tests/validation/fixtures/ElementwiseUnaryFixture.h
index 9b40d34d2b..15344288db 100644
--- a/tests/validation/fixtures/ElementwiseUnaryFixture.h
+++ b/tests/validation/fixtures/ElementwiseUnaryFixture.h
@@ -50,7 +50,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ElementWiseUnaryValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, DataType input_data_type, bool in_place, ElementWiseUnary op,
                bool use_dynamic_shape = false, QuantizationInfo qinfo = QuantizationInfo(), QuantizationInfo qinfo_out = QuantizationInfo())
     {
@@ -277,7 +276,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class RsqrtQuantizedValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, QuantizationInfo qinfo, QuantizationInfo qinfo_out)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::RSQRT, false, qinfo, qinfo_out);
@@ -288,7 +286,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class RsqrtValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::RSQRT);
@@ -299,7 +296,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class RsqrtDynamicShapeValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::RSQRT, true);
@@ -310,7 +306,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ExpValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::EXP);
@@ -321,7 +316,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ExpQuantizedValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, QuantizationInfo iq, QuantizationInfo oq)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::EXP, false, iq, oq);
@@ -332,7 +326,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class NegValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::NEG);
@@ -343,7 +336,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class NegQuantizedValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, QuantizationInfo iq, QuantizationInfo oq)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::NEG, false, iq, oq);
@@ -354,7 +346,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class NegValidationInPlaceFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, bool in_place)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, in_place, ElementWiseUnary::NEG);
@@ -365,7 +356,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class NegQuantizedValidationInPlaceFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, bool in_place, QuantizationInfo iq, QuantizationInfo oq)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, in_place, ElementWiseUnary::NEG, false, iq, oq);
@@ -376,7 +366,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class LogValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::LOG);
@@ -387,7 +376,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class LogQuantizedValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, QuantizationInfo iq, QuantizationInfo oq)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::LOG, false, iq, oq);
@@ -398,7 +386,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class AbsValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::ABS);
@@ -409,7 +396,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class AbsQuantizedValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, QuantizationInfo iq, QuantizationInfo oq)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::ABS, false, iq, oq);
@@ -420,7 +406,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class SinValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::SIN);
@@ -431,7 +416,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class SinQuantizedValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, QuantizationInfo iq, QuantizationInfo oq)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::SIN, false, iq, oq);
@@ -442,7 +426,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class RoundValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::ROUND);
@@ -453,7 +436,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class RoundQuantizedValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType data_type, QuantizationInfo iq, QuantizationInfo oq)
     {
         ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::ROUND, false, iq, oq);
diff --git a/tests/validation/fixtures/FFTFixture.h b/tests/validation/fixtures/FFTFixture.h
index 16ac212fcc..024227b22a 100644
--- a/tests/validation/fixtures/FFTFixture.h
+++ b/tests/validation/fixtures/FFTFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2022 Arm Limited.
+ * Copyright (c) 2019-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -47,7 +47,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class FFTValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type)
     {
         _target    = compute_target(shape, data_type);
@@ -134,7 +133,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class FFTConvolutionValidationGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation,
                DataType data_type, DataLayout data_layout, ActivationLayerInfo act_info, bool mixed_layout = false)
     {
@@ -271,7 +269,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class FFTConvolutionValidationFixture : public FFTConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation,
                DataType data_type, DataLayout data_layout, ActivationLayerInfo act_info)
     {
diff --git a/tests/validation/fixtures/FillFixture.h b/tests/validation/fixtures/FillFixture.h
index 706c13565d..0239a68903 100644
--- a/tests/validation/fixtures/FillFixture.h
+++ b/tests/validation/fixtures/FillFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019 Arm Limited.
+ * Copyright (c) 2019, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -42,7 +42,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class FillFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, DataType data_type)
     {
         _target = compute_target(input_shape, data_type);
diff --git a/tests/validation/fixtures/FlattenLayerFixture.h b/tests/validation/fixtures/FlattenLayerFixture.h
index b6c0dde28a..e72487c7cf 100644
--- a/tests/validation/fixtures/FlattenLayerFixture.h
+++ b/tests/validation/fixtures/FlattenLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -50,7 +50,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class FlattenLayerValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type)
     {
         TensorShape shape_flatten;
diff --git a/tests/validation/fixtures/FloorFixture.h b/tests/validation/fixtures/FloorFixture.h
index d6e19444db..7d38666f47 100644
--- a/tests/validation/fixtures/FloorFixture.h
+++ b/tests/validation/fixtures/FloorFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -44,7 +44,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class FloorValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type)
     {
         _target    = compute_target(shape, data_type);
diff --git a/tests/validation/fixtures/FullyConnectedLayerFixture.h b/tests/validation/fixtures/FullyConnectedLayerFixture.h
index e13c01d1e2..fb1cb4dcb6 100644
--- a/tests/validation/fixtures/FullyConnectedLayerFixture.h
+++ b/tests/validation/fixtures/FullyConnectedLayerFixture.h
@@ -54,7 +54,6 @@ public:
     using TBias  = typename std::conditional < (std::is_same<TDecay, uint8_t>::value || std::is_same<TDecay, int8_t>::value), int32_t, T >::type;
 
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, bool transpose_weights, bool reshape_weights,
                DataType data_type, QuantizationInfo quantization_info, ActivationLayerInfo activation_info, bool mixed_layout = false)
     {
@@ -248,7 +247,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class FullyConnectedLayerValidationFixture : public FullyConnectedLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, bool transpose_weights, bool reshape_weights, DataType data_type,
                ActivationLayerInfo activation_info)
     {
@@ -262,7 +260,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class FullyConnectedLayerValidationQuantizedFixture : public FullyConnectedLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, bool transpose_weights, bool reshape_weights, DataType data_type,
                QuantizationInfo quantization_info, ActivationLayerInfo activation_info)
     {
@@ -358,7 +355,6 @@ public:
     using TDecay = typename std::decay<T>::type;
     using TBias  = typename std::conditional < (std::is_same<TDecay, uint8_t>::value || std::is_same<TDecay, int8_t>::value), int32_t, T >::type;
 
-    template <typename...>
     void setup(TensorShape src_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape dst_shape,
                DataType data_type, ActivationLayerInfo activation_info, bool constant_weights, bool constant_bias, bool weights_reshaped, bool remove_bias = false)
     {
@@ -496,7 +492,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class FullyConnectedWithDynamicWeightsFixture : public FullyConnectedWithDynamicTensorsFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape src_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape dst_shape,
                DataType data_type, ActivationLayerInfo activation_info, bool weights_reshaped)
     {
@@ -509,7 +504,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class FullyConnectedDynamicNoBiasFixture : public FullyConnectedWithDynamicTensorsFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape src_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape dst_shape,
                DataType data_type, ActivationLayerInfo activation_info, bool weights_reshaped)
     {
@@ -522,7 +516,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class FullyConnectedWithDynamicBiasFixture : public FullyConnectedWithDynamicTensorsFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape src_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape dst_shape,
                DataType data_type, ActivationLayerInfo activation_info)
     {
diff --git a/tests/validation/fixtures/FuseBatchNormalizationFixture.h b/tests/validation/fixtures/FuseBatchNormalizationFixture.h
index 6fbabeee56..a05e4169a7 100644
--- a/tests/validation/fixtures/FuseBatchNormalizationFixture.h
+++ b/tests/validation/fixtures/FuseBatchNormalizationFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2021 Arm Limited.
+ * Copyright (c) 2019-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -47,7 +47,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, int
 class FuseBatchNormalizationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_w, DataType data_type, DataLayout data_layout, bool in_place, bool with_bias, bool with_gamma, bool with_beta)
     {
         std::tie(_target_w, _target_b)       = compute_target(shape_w, data_type, data_layout, in_place, with_bias, with_gamma, with_beta);
diff --git a/tests/validation/fixtures/GEMMFixture.h b/tests/validation/fixtures/GEMMFixture.h
index 5dc2711753..f1e0ee9150 100644
--- a/tests/validation/fixtures/GEMMFixture.h
+++ b/tests/validation/fixtures/GEMMFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2022 Arm Limited.
+ * Copyright (c) 2017-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -52,7 +52,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class GEMMValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_a, TensorShape shape_b, TensorShape shape_c, TensorShape output_shape, float alpha, float beta, bool pretranspose, DataType data_type)
     {
         ARM_COMPUTE_UNUSED(pretranspose);
@@ -230,7 +229,6 @@ template <typename TensorType, typename AccessorType, typename T, typename GEMMO
 class GEMMMatrixMultiplyValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, float alpha, float beta, bool broadcast_bias, bool fp16_mixed_precision, const ActivationLayerInfo &act_info,
                DataType data_type, GPUTarget gpu_arch)
     {
@@ -354,7 +352,6 @@ template <typename TensorType, typename AccessorType, typename T, typename GEMMO
 class GEMMMatrixMultiply3DValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m_w, unsigned int m_h, unsigned int n, unsigned int k, unsigned int batch_size, float alpha, float beta, bool broadcast_bias, bool fp16_mixed_precision,
                const ActivationLayerInfo &act_info, DataType data_type, GPUTarget gpu_arch)
     {
@@ -476,7 +473,6 @@ template <typename TensorType, typename AccessorType, typename T, typename Resha
 class GEMMMatrixMultiplyInterleavedTransposedValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, float alpha, float beta, unsigned int v0, unsigned int h0, bool broadcast_bias, bool fp16_mixed_precision,
                const ActivationLayerInfo &act_info, DataType data_type, GPUTarget gpu_arch)
     {
@@ -632,7 +628,6 @@ template <typename TensorType, typename AccessorType, typename T, typename Resha
 class GEMMMatrixMultiplyInterleavedTransposed3DValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m_w, unsigned int m_h, unsigned int n, unsigned int k, unsigned int batch_size, float alpha, float beta, unsigned int v0, unsigned int h0, bool broadcast_bias,
                bool fp16_mixed_precision, const ActivationLayerInfo &act_info, DataType data_type, GPUTarget gpu_arch)
     {
@@ -786,7 +781,6 @@ template <typename TensorType, typename AccessorType, typename T, typename Resha
 class GEMMMatrixMultiplyReshapedValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, unsigned int v0, unsigned int h0, bool interleave_lhs,
                bool interleave_rhs, bool export_to_cl_image, DataType data_type, float alpha, float beta, bool broadcast_bias, bool lhs_transpose, const ActivationLayerInfo &act_info)
     {
@@ -973,7 +967,6 @@ class GEMMMatrixMultiplyReshapedWithPostOpsValidationFixture : public framework:
 public:
     using PostOpArgBroadcast = std::tuple<bool, bool, bool>; // Instruct fixture if we need broadcasting in dimension 0, 1, 2 of each PostOp argument
 public:
-    template <typename...>
     void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, unsigned int v0, unsigned int h0, bool interleave_lhs,
                bool interleave_rhs, bool export_to_cl_image, DataType data_type, float alpha, float beta, bool broadcast_bias, bool lhs_transpose, const ActivationLayerInfo &act_info,
                const experimental::PostOpList<PostOpArgBroadcast> &post_ops)
@@ -1227,7 +1220,6 @@ template <typename TensorType, typename AccessorType, typename T, typename Resha
 class GEMMMatrixMultiplyReshaped3DValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m_w, unsigned int m_h, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, unsigned int v0, unsigned int h0,
                bool interleave_lhs, bool interleave_rhs, bool export_to_cl_image, DataType data_type, float alpha, float beta, bool lhs_transpose, const ActivationLayerInfo &act_info)
     {
@@ -1407,7 +1399,6 @@ template <typename TensorType, typename AccessorType, typename T, typename Resha
 class GEMMMatrixMultiplyReshapedOnlyRHSValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, unsigned int h0,
                bool interleave_rhs, bool transpose_rhs, bool export_to_cl_image, DataType data_type, float alpha, float beta, bool broadcast_bias, const ActivationLayerInfo &act_info)
     {
@@ -1575,7 +1566,6 @@ class GEMMMatrixMultiplyReshapedOnlyRHSWithPostOpsValidationFixture : public fra
 {
 public:
     using PostOpArgBroadcast = std::tuple<bool, bool, bool>; // Instruct fixture if we need broadcasting in dimension 0, 1, 2 of each PostOp argument
-    template <typename...>
     void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, unsigned int h0,
                bool interleave_rhs, bool transpose_rhs, bool export_to_cl_image, DataType data_type, float alpha, float beta, bool broadcast_bias, const ActivationLayerInfo &act_info,
                const experimental::PostOpList<PostOpArgBroadcast> &post_ops)
@@ -1810,7 +1800,6 @@ template <typename TensorType, typename AccessorType, typename T, typename Resha
 class GEMMMatrixMultiplyReshapedOnlyRHS3DValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m_w, unsigned int m_h, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, unsigned int h0,
                bool interleave_rhs, bool transpose_rhs, bool export_to_cl_image, bool has_pad_y, DataType data_type, float alpha, float beta, const ActivationLayerInfo &act_info)
     {
@@ -1980,7 +1969,6 @@ template <typename TensorType, typename AccessorType, typename T, typename GEMMO
 class GEMMMatrixMultiplyNativeValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, DataType data_type, float alpha, float beta, bool broadcast_bias,
                const ActivationLayerInfo &act_info)
     {
@@ -2119,7 +2107,6 @@ class GEMMMatrixMultiplyNativeWithPostOpsValidationFixture : public framework::F
 public:
     using PostOpArgBroadcast = std::tuple<bool, bool, bool>; // Instruct fixture if we need broadcasting in dimension 0, 1, 2 of each PostOp argument
 public:
-    template <typename...>
     void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, DataType data_type, float alpha, float beta, bool broadcast_bias,
                const ActivationLayerInfo &act_info, const experimental::PostOpList<PostOpArgBroadcast> &post_ops)
     {
@@ -2324,7 +2311,6 @@ template <typename TensorType, typename AccessorType, typename T, typename GEMMO
 class GEMMMatrixMultiplyNative3DValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m_w, unsigned int m_h, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, DataType data_type, float alpha, float beta,
                const ActivationLayerInfo &act_info)
     {
@@ -2459,7 +2445,6 @@ template <typename TensorType, typename AccessorType, typename T, typename Resha
 class GEMMMatrixMultiplyReshapedOnlyRhsMMULValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, bool export_to_cl_image, DataType data_type, float alpha,
                float beta, bool broadcast_bias,
                const ActivationLayerInfo &act_info)
diff --git a/tests/validation/fixtures/GEMMInterleave4x4Fixture.h b/tests/validation/fixtures/GEMMInterleave4x4Fixture.h
index 72cea8c27d..59fc460869 100644
--- a/tests/validation/fixtures/GEMMInterleave4x4Fixture.h
+++ b/tests/validation/fixtures/GEMMInterleave4x4Fixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -46,7 +46,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class GEMMInterleave4x4ValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(size_t x, size_t y, DataType data_type)
     {
         _data_type = data_type;
diff --git a/tests/validation/fixtures/GEMMLowpFixture.h b/tests/validation/fixtures/GEMMLowpFixture.h
index 043fc9cb3c..1492ac6945 100644
--- a/tests/validation/fixtures/GEMMLowpFixture.h
+++ b/tests/validation/fixtures/GEMMLowpFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2022 Arm Limited.
+ * Copyright (c) 2017-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -231,7 +231,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, boo
 class GEMMLowpMatrixMultiplyCoreValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_a, TensorShape shape_b, TensorShape shape_output, int32_t a_offset, int32_t b_offset)
     {
         _target    = compute_target(shape_a, shape_b, shape_output, a_offset, b_offset);
@@ -258,7 +257,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, boo
 class GEMMLowpMatrixMultiplyCoreFusedOffsetOutputGenericValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_a, TensorShape shape_b, TensorShape shape_output, int32_t a_offset, int32_t b_offset, GEMMLowpOutputStageInfo output_stage, DataType data_type_b,
                bool reshape_b_only_on_first_run)
     {
@@ -332,7 +330,6 @@ class GEMMLowpMatrixMultiplyCoreFusedOffsetOutputValidationFixture : public
     GEMMLowpMatrixMultiplyCoreFusedOffsetOutputGenericValidationFixture<TensorType, AccessorType, FunctionType, reinterpret_input_as_3d, reinterpret_output_as_3d, TI, TW>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_a, TensorShape shape_b, TensorShape shape_output, int32_t a_offset, int32_t b_offset, GEMMLowpOutputStageInfo output_stage, DataType data_type_b)
     {
         GEMMLowpMatrixMultiplyCoreFusedOffsetOutputGenericValidationFixture<TensorType, AccessorType, FunctionType, reinterpret_input_as_3d, reinterpret_output_as_3d, TI, TW>::setup(shape_a, shape_b,
@@ -344,7 +341,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType>
 class GEMMLowpQuantizeDownInt32ToUint8ScaleValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min, int32_t max, bool add_bias)
     {
         _target    = compute_target(shape, result_offset, result_mult_int, result_shift, min, max, add_bias);
@@ -446,7 +442,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType>
 class GEMMLowpQuantizeDownInt32ToInt8ScaleValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min, int32_t max, bool add_bias)
     {
         _target    = compute_target(shape, result_offset, result_mult_int, result_shift, min, max, add_bias);
@@ -548,7 +543,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType>
 class GEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, int32_t result_fixedpoint_multiplier, int32_t result_shift, int32_t result_offset_after_shift, int32_t min, int32_t max, bool add_bias)
     {
         _target    = compute_target(shape, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max, add_bias);
@@ -643,7 +637,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType>
 class GEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, int32_t result_fixedpoint_multiplier, int32_t result_shift, int32_t result_offset_after_shift, int32_t min, int32_t max, bool add_bias)
     {
         _target    = compute_target(shape, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max, add_bias);
@@ -738,7 +731,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class GEMMLowpQuantizeDownInt32ScaleByFloatValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(DataType data_type, TensorShape shape, float result_real_multiplier, int32_t result_offset, int32_t min, int32_t max, bool add_bias)
     {
         _target    = compute_target(data_type, shape, result_real_multiplier, result_offset, min, max, add_bias);
@@ -841,7 +833,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType>
 class GEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, int32_t result_fixedpoint_multiplier, int32_t result_shift, int32_t min, int32_t max, bool add_bias)
     {
         _target    = compute_target(shape, result_fixedpoint_multiplier, result_shift, min, max, add_bias);
@@ -936,7 +927,6 @@ template <typename TensorType, typename AccessorType, typename ReshapeLHSOperato
 class GEMMLowpMatrixMultiplyReshapedValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, unsigned int v0, unsigned int h0, bool interleave_lhs,
                bool interleave_rhs, DataType data_type)
     {
@@ -1087,7 +1077,6 @@ template <typename TensorType, typename AccessorType, typename ReshapeLHSOperato
 class GEMMLowpMatrixMultiplyReshaped3DValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m_w, unsigned int m_h, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, unsigned int v0, unsigned int h0,
                bool interleave_lhs, bool interleave_rhs, DataType data_type)
     {
@@ -1244,7 +1233,6 @@ template <typename TensorType, typename AccessorType, typename ReshapeRHSOperato
 class GEMMLowpMatrixMultiplyReshapedOnlyRHSValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0,
                unsigned int k0, unsigned int h0, bool interleave_rhs, bool transpose_rhs, DataType data_type)
     {
@@ -1387,7 +1375,6 @@ template <typename T, typename TensorType, typename AccessorType, typename Resha
 class GEMMLowpMatrixMultiplyReshapedOnlyRHSMMULOutputStageValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0,
                unsigned int k0, unsigned int h0, bool interleave_rhs, bool transpose_rhs, bool broadcast_bias, DataType data_type)
     {
@@ -1595,7 +1582,6 @@ template <typename TensorType, typename AccessorType, typename ReshapeRHSOperato
 class GEMMLowpMatrixMultiplyReshapedOnlyRHSMMULValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0,
                unsigned int k0, unsigned int h0, bool interleave_rhs, bool transpose_rhs, DataType data_type)
     {
@@ -1751,7 +1737,6 @@ template <typename TensorType, typename AccessorType, typename ReshapeRHSOperato
 class GEMMLowpMatrixMultiplyReshapedOnlyRHS3DValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m_w, unsigned int m_h, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0,
                unsigned int k0, unsigned int h0, bool interleave_rhs, bool transpose_rhs, DataType data_type)
     {
@@ -1900,7 +1885,6 @@ template <typename TensorType, typename AccessorType, typename GEMMFunctionType>
 class GEMMLowpMatrixMultiplyNativeValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0)
     {
         GEMMLHSMatrixInfo lhs_info;
@@ -1995,7 +1979,6 @@ template <typename TensorType, typename AccessorType, typename GEMMFunctionType>
 class GEMMLowpMatrixMultiplyNative3DValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int m_w, unsigned int m_h, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0)
     {
         GEMMLHSMatrixInfo lhs_info;
diff --git a/tests/validation/fixtures/GEMMReshapeLHSMatrixFixture.h b/tests/validation/fixtures/GEMMReshapeLHSMatrixFixture.h
index a9d6c9b6aa..d88029f93e 100644
--- a/tests/validation/fixtures/GEMMReshapeLHSMatrixFixture.h
+++ b/tests/validation/fixtures/GEMMReshapeLHSMatrixFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -50,7 +50,6 @@ template <typename TensorType, typename AccessorType, typename OperatorType, typ
 class GEMMReshapeLHSMatrixValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_in, unsigned int batch_size, DataType data_type, unsigned int m0, unsigned int k0, unsigned int v0, bool interleave, bool transpose)
     {
         GEMMLHSMatrixInfo lhs_info;
diff --git a/tests/validation/fixtures/GEMMReshapeRHSMatrixFixture.h b/tests/validation/fixtures/GEMMReshapeRHSMatrixFixture.h
index cdb3ec3944..0929faf04a 100644
--- a/tests/validation/fixtures/GEMMReshapeRHSMatrixFixture.h
+++ b/tests/validation/fixtures/GEMMReshapeRHSMatrixFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -50,7 +50,6 @@ template <typename TensorType, typename AccessorType, typename OperatorType, typ
 class GEMMReshapeRHSMatrixValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_in, unsigned int batch_size, DataType data_type, unsigned int n0, unsigned int k0, unsigned int h0, bool interleave, bool transpose)
     {
         GEMMRHSMatrixInfo rhs_info;
diff --git a/tests/validation/fixtures/GEMMTranspose1xWFixture.h b/tests/validation/fixtures/GEMMTranspose1xWFixture.h
index 08f478fe2b..3765515b57 100644
--- a/tests/validation/fixtures/GEMMTranspose1xWFixture.h
+++ b/tests/validation/fixtures/GEMMTranspose1xWFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -46,7 +46,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class GEMMTranspose1xWValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(size_t x, size_t y, DataType data_type)
     {
         _data_type = data_type;
diff --git a/tests/validation/fixtures/GatherFixture.h b/tests/validation/fixtures/GatherFixture.h
index b28f93d850..857b0387b7 100644
--- a/tests/validation/fixtures/GatherFixture.h
+++ b/tests/validation/fixtures/GatherFixture.h
@@ -47,7 +47,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class GatherFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape indices_shape, int axis, DataType data_type)
     {
         _target    = compute_target(input_shape, data_type, axis, indices_shape);
diff --git a/tests/validation/fixtures/Im2ColFixture.h b/tests/validation/fixtures/Im2ColFixture.h
index a0732c3eb3..5c7978f4ab 100644
--- a/tests/validation/fixtures/Im2ColFixture.h
+++ b/tests/validation/fixtures/Im2ColFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -48,7 +48,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class Im2ColOpValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, DataType data_type, const Size2D &kernel_dims, const PadStrideInfo &conv_info, const QuantizationInfo &quant_info, const DataLayout &data_layout,
                unsigned int num_groups)
     {
diff --git a/tests/validation/fixtures/IndirectConv2dAddressPrecalculationFixture.h b/tests/validation/fixtures/IndirectConv2dAddressPrecalculationFixture.h
index f595a8663d..7374093f51 100644
--- a/tests/validation/fixtures/IndirectConv2dAddressPrecalculationFixture.h
+++ b/tests/validation/fixtures/IndirectConv2dAddressPrecalculationFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2022 Arm Limited.
+ * Copyright (c) 2022-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -44,7 +44,6 @@ template <typename TensorType, typename AccessorType, typename OperatorType>
 class IndirectConv2dAddressPrecalculationValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(unsigned int src_w,
                unsigned int src_h,
                unsigned int src_b,
diff --git a/tests/validation/fixtures/InstanceNormalizationLayerFixture.h b/tests/validation/fixtures/InstanceNormalizationLayerFixture.h
index 0f8c155277..c26dd99f02 100644
--- a/tests/validation/fixtures/InstanceNormalizationLayerFixture.h
+++ b/tests/validation/fixtures/InstanceNormalizationLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2021 Arm Limited.
+ * Copyright (c) 2019-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -44,7 +44,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class InstanceNormalizationLayerValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, DataLayout data_layout, bool in_place)
     {
         _target    = compute_target(shape, data_type, data_layout, in_place);
diff --git a/tests/validation/fixtures/L2NormalizeLayerFixture.h b/tests/validation/fixtures/L2NormalizeLayerFixture.h
index 2dea66c98b..b8f4b1eaf3 100644
--- a/tests/validation/fixtures/L2NormalizeLayerFixture.h
+++ b/tests/validation/fixtures/L2NormalizeLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -48,7 +48,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class L2NormalizeLayerValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, DataLayout data_layout, int axis, float epsilon)
     {
         _target    = compute_target(shape, data_type, data_layout, axis, epsilon);
diff --git a/tests/validation/fixtures/LSTMLayerFixture.h b/tests/validation/fixtures/LSTMLayerFixture.h
index c3a54726de..a32e9adfe5 100644
--- a/tests/validation/fixtures/LSTMLayerFixture.h
+++ b/tests/validation/fixtures/LSTMLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2022 Arm Limited.
+ * Copyright (c) 2018-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -46,7 +46,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class LSTMLayerValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape input_weights_shape, TensorShape recurrent_weights_shape, TensorShape cell_bias_shape, TensorShape output_cell_shape, TensorShape output_shape,
                TensorShape scratch_shape, ActivationLayerInfo info, float cell_threshold, float projection_threshold, DataType data_type, bool projection_opt, bool peephole_opt,
                bool use_layer_norm)
diff --git a/tests/validation/fixtures/LogicalFixture.h b/tests/validation/fixtures/LogicalFixture.h
index c7dd1f6510..60dc963ba7 100644
--- a/tests/validation/fixtures/LogicalFixture.h
+++ b/tests/validation/fixtures/LogicalFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2020-2021 Arm Limited.
+ * Copyright (c) 2020-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -79,7 +79,6 @@ class LogicalBinaryOperationValidationFixture : public LogicalOperationValidatio
     using Parent = LogicalOperationValidationFixtureBase<TensorType, AccessorType, FunctionType, T>;
 
 public:
-    template <typename...>
     void setup(TensorShape shape0, TensorShape shape1)
     {
         Parent::_target    = compute_target(shape0, shape1);
@@ -135,7 +134,6 @@ class LogicalNotValidationFixture : public LogicalOperationValidationFixtureBase
     using Parent = LogicalOperationValidationFixtureBase<TensorType, AccessorType, FunctionType, T>;
 
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type)
     {
         Parent::_target    = compute_target(shape, data_type);
diff --git a/tests/validation/fixtures/MatMulFixture.h b/tests/validation/fixtures/MatMulFixture.h
index 3e4cac5e34..e6b28f5766 100644
--- a/tests/validation/fixtures/MatMulFixture.h
+++ b/tests/validation/fixtures/MatMulFixture.h
@@ -48,7 +48,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class MatMulGenericValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_a, TensorShape shape_b, TensorShape output_shape, bool transpose_a, bool transpose_b, DataType data_type, ActivationLayerInfo act_info, int num_extra_runs,
                Settings settings, QuantizationInfo a_qinfo = QuantizationInfo(), QuantizationInfo b_qinfo = QuantizationInfo(), QuantizationInfo o_qinfo = QuantizationInfo())
     {
@@ -271,7 +270,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class MatMulValidationFixture : public MatMulGenericValidationFixture<TensorType, AccessorType, FunctionType, Settings, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_a, TensorShape shape_b, TensorShape output_shape, bool transpose_a, bool transpose_b, DataType data_type)
     {
         MatMulGenericValidationFixture<TensorType, AccessorType, FunctionType, Settings, T>::setup(shape_a, shape_b, output_shape, transpose_a, transpose_b, data_type, ActivationLayerInfo(), 0,
@@ -283,7 +281,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class MatMulValidationWithDynamicTensorsFixture : public MatMulGenericValidationFixture<TensorType, AccessorType, FunctionType, Settings, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_a, TensorShape shape_b, TensorShape output_shape, bool transpose_a, bool transpose_b, DataType data_type, ActivationLayerInfo act_info, int num_extra_runs)
     {
         MatMulGenericValidationFixture<TensorType, AccessorType, FunctionType, Settings, T>::setup(shape_a, shape_b, output_shape, transpose_a, transpose_b, data_type, act_info, num_extra_runs, Settings());
@@ -294,7 +291,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class QuantizedMatMulValidationFixture : public MatMulGenericValidationFixture<TensorType, AccessorType, FunctionType, Settings, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_a, TensorShape shape_b, TensorShape output_shape, bool transpose_a, bool transpose_b, DataType data_type, ActivationLayerInfo act_info, int num_extra_runs,
                QuantizationInfo a_qinfo, QuantizationInfo b_qinfo, QuantizationInfo o_qinfo)
     {
@@ -307,7 +303,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class MatMulValidationWithActivationFixture : public MatMulGenericValidationFixture<TensorType, AccessorType, FunctionType, Settings, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_a, TensorShape shape_b, TensorShape output_shape, bool transpose_a, bool transpose_b, DataType data_type, ActivationLayerInfo act_info)
     {
         MatMulGenericValidationFixture<TensorType, AccessorType, FunctionType, Settings, T>::setup(shape_a, shape_b, output_shape, transpose_a, transpose_b, data_type, act_info, 0, Settings());
@@ -318,7 +313,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class MatMulValidationWithActivationAlphaBetaFixture : public MatMulGenericValidationFixture<TensorType, AccessorType, FunctionType, Settings, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_a, TensorShape shape_b, TensorShape output_shape, bool transpose_a, bool transpose_b, DataType data_type, ActivationLayerInfo::ActivationFunction function,
                float alpha_beta)
     {
@@ -331,7 +325,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class QuantizedMatMulValidationWithActivationFixture : public MatMulGenericValidationFixture<TensorType, AccessorType, FunctionType, Settings, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_a, TensorShape shape_b, TensorShape output_shape, bool transpose_a, bool transpose_b, DataType data_type, ActivationLayerInfo::ActivationFunction function,
                float alpha_beta, int num_extra_runs,
                QuantizationInfo a_qinfo, QuantizationInfo b_qinfo, QuantizationInfo o_qinfo)
diff --git a/tests/validation/fixtures/MatMulKernelFixture.h b/tests/validation/fixtures/MatMulKernelFixture.h
index 88fdf8b291..91ac77d5af 100644
--- a/tests/validation/fixtures/MatMulKernelFixture.h
+++ b/tests/validation/fixtures/MatMulKernelFixture.h
@@ -51,7 +51,6 @@ template <typename T, typename KernelType, bool use_mmul = false>
 class MatMulKernelGenericValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_a, TensorShape shape_b, TensorShape output_shape, bool pretranspose_a, bool pretranspose_b, int M0, int N0, int K0, bool export_rhs_to_cl_image, DataType data_type,
                bool enable_bias)
     {
@@ -355,7 +354,6 @@ template <typename T, typename KernelType, bool use_mmul = false>
 class MatMulKernelValidationFixture : public MatMulKernelGenericValidationFixture<T, KernelType, use_mmul>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_a, TensorShape shape_b, TensorShape output_shape, bool pretranspose_a, bool pretranspose_b, int M0, int N0, int K0, bool export_rhs_to_cl_image, DataType data_type)
     {
         MatMulKernelGenericValidationFixture<T, KernelType, use_mmul>::setup(shape_a, shape_b, output_shape, pretranspose_a, pretranspose_b, M0, N0, K0, export_rhs_to_cl_image, data_type,
@@ -367,7 +365,6 @@ template <typename T, typename KernelType, bool use_mmul = false>
 class MatMulKernelWithBiasValidation : public MatMulKernelGenericValidationFixture<T, KernelType, use_mmul>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_a, TensorShape shape_b, TensorShape output_shape, bool pretranspose_a, bool pretranspose_b, int M0, int N0, int K0, bool export_rhs_to_cl_image, DataType data_type)
     {
         MatMulKernelGenericValidationFixture<T, KernelType, use_mmul>::setup(shape_a, shape_b, output_shape, pretranspose_a, pretranspose_b, M0, N0, K0, export_rhs_to_cl_image, data_type,
diff --git a/tests/validation/fixtures/MaxUnpoolingLayerFixture.h b/tests/validation/fixtures/MaxUnpoolingLayerFixture.h
index b2575aa26b..808e3ffabd 100644
--- a/tests/validation/fixtures/MaxUnpoolingLayerFixture.h
+++ b/tests/validation/fixtures/MaxUnpoolingLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2020-2021 Arm Limited.
+ * Copyright (c) 2020-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -46,7 +46,6 @@ template <typename TensorType, typename AccessorType, typename PoolingFunctionTy
 class MaxUnpoolingLayerValidationGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, PoolingLayerInfo pool_info, DataType data_type, DataLayout data_layout)
     {
         std::mt19937                    gen(library->seed());
@@ -150,7 +149,6 @@ template <typename TensorType, typename AccessorType, typename F1, typename F2,
 class MaxUnpoolingLayerValidationFixture : public MaxUnpoolingLayerValidationGenericFixture<TensorType, AccessorType, F1, F2, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, PoolingType pool_type, Size2D pool_size, PadStrideInfo pad_stride_info, DataType data_type, DataLayout data_layout)
     {
         MaxUnpoolingLayerValidationGenericFixture<TensorType, AccessorType, F1, F2, T>::setup(shape, PoolingLayerInfo(pool_type, pool_size, data_layout, pad_stride_info, true),
diff --git a/tests/validation/fixtures/MeanStdDevNormalizationLayerFixture.h b/tests/validation/fixtures/MeanStdDevNormalizationLayerFixture.h
index f3c108e6da..bf5d20790c 100644
--- a/tests/validation/fixtures/MeanStdDevNormalizationLayerFixture.h
+++ b/tests/validation/fixtures/MeanStdDevNormalizationLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2022 Arm Limited.
+ * Copyright (c) 2019-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -44,7 +44,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class MeanStdDevNormalizationLayerValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType dt, bool in_place, float epsilon = 1e-8)
     {
         QuantizationInfo qi = QuantizationInfo(0.5f, 10);
diff --git a/tests/validation/fixtures/NonMaxSuppressionFixture.h b/tests/validation/fixtures/NonMaxSuppressionFixture.h
index abfe909fc4..043b4731aa 100644
--- a/tests/validation/fixtures/NonMaxSuppressionFixture.h
+++ b/tests/validation/fixtures/NonMaxSuppressionFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2021 Arm Limited.
+ * Copyright (c) 2019-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -46,7 +46,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType>
 class NMSValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, unsigned int max_output_size, float score_threshold, float nms_threshold)
     {
         ARM_COMPUTE_ERROR_ON(max_output_size == 0);
diff --git a/tests/validation/fixtures/NormalizationLayerFixture.h b/tests/validation/fixtures/NormalizationLayerFixture.h
index 8a29e64826..ddaa3533f5 100644
--- a/tests/validation/fixtures/NormalizationLayerFixture.h
+++ b/tests/validation/fixtures/NormalizationLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -46,7 +46,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class NormalizationValidationGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, NormType norm_type, int norm_size, float beta, bool is_scaled, DataType data_type, DataLayout data_layout)
     {
         NormalizationLayerInfo info(norm_type, norm_size, 5, beta, 1.f, is_scaled);
@@ -119,7 +118,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class NormalizationValidationFixture : public NormalizationValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, NormType norm_type, int norm_size, float beta, bool is_scaled, DataType data_type, DataLayout data_layout)
     {
         NormalizationValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, norm_type, norm_size, beta, is_scaled, data_type, data_layout);
diff --git a/tests/validation/fixtures/NormalizePlanarYUVLayerFixture.h b/tests/validation/fixtures/NormalizePlanarYUVLayerFixture.h
index 4586afbb5d..5f2c865950 100644
--- a/tests/validation/fixtures/NormalizePlanarYUVLayerFixture.h
+++ b/tests/validation/fixtures/NormalizePlanarYUVLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -44,7 +44,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class NormalizePlanarYUVLayerValidationGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape0, TensorShape shape1, DataType dt, DataLayout data_layout, QuantizationInfo quantization_info)
     {
         _data_type = dt;
@@ -144,7 +143,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class NormalizePlanarYUVLayerValidationFixture : public NormalizePlanarYUVLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape0, TensorShape shape1, DataType dt, DataLayout data_layout)
     {
         NormalizePlanarYUVLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape0, shape1, dt, data_layout, QuantizationInfo());
@@ -155,7 +153,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class NormalizePlanarYUVLayerValidationQuantizedFixture : public NormalizePlanarYUVLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape0, TensorShape shape1, DataType dt, DataLayout data_layout, QuantizationInfo quantization_info)
     {
         NormalizePlanarYUVLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape0, shape1, dt, data_layout, quantization_info);
diff --git a/tests/validation/fixtures/PadLayerFixture.h b/tests/validation/fixtures/PadLayerFixture.h
index 1951813df8..93b43616ff 100644
--- a/tests/validation/fixtures/PadLayerFixture.h
+++ b/tests/validation/fixtures/PadLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -44,7 +44,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PaddingFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, const PaddingList &padding, const PaddingMode mode)
     {
         PaddingList clamped_padding = padding;
diff --git a/tests/validation/fixtures/PermuteFixture.h b/tests/validation/fixtures/PermuteFixture.h
index 118971394a..b1b3845a8d 100644
--- a/tests/validation/fixtures/PermuteFixture.h
+++ b/tests/validation/fixtures/PermuteFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -45,7 +45,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PermuteValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, PermutationVector perm, DataType data_type)
     {
         _target    = compute_target(input_shape, data_type, perm);
diff --git a/tests/validation/fixtures/PixelWiseMultiplicationFixture.h b/tests/validation/fixtures/PixelWiseMultiplicationFixture.h
index 8dc5179109..4345d8a13f 100644
--- a/tests/validation/fixtures/PixelWiseMultiplicationFixture.h
+++ b/tests/validation/fixtures/PixelWiseMultiplicationFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -44,7 +44,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PixelWiseMultiplicationGenericValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0,
                const TensorShape &shape1,
                DataType            dt_in1,
@@ -155,7 +154,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PixelWiseMultiplicationValidationFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType dt_in1, DataType dt_in2, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, bool is_inplace)
     {
         PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>::setup(shape, shape, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy,
@@ -167,7 +165,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PixelWiseMultiplicationBroadcastValidationFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
                bool is_inplace)
     {
@@ -180,7 +177,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PixelWiseMultiplicationValidationFloatFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType dt_in1, DataType dt_in2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, ActivationLayerInfo act_info, bool is_inplace)
     {
         PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, shape, dt_in1, dt_in2, dt_in2, scale, convert_policy, rounding_policy,
@@ -192,7 +188,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PixelWiseMultiplicationValidationIntegerFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType dt_in1, DataType dt_in2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, ActivationLayerInfo act_info, bool is_inplace)
     {
         PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, shape, dt_in1, dt_in2, dt_in2, scale, convert_policy, rounding_policy,
@@ -204,7 +199,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PixelWiseMultiplicationBroadcastValidationFloatFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
                ActivationLayerInfo act_info, bool is_inplace)
     {
@@ -217,7 +211,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PixelWiseMultiplicationValidationQuantizedFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape, DataType dt_in1, DataType dt_in2, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
                QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
     {
@@ -230,7 +223,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PixelWiseMultiplicationBroadcastValidationQuantizedFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>
 {
 public:
-    template <typename...>
     void setup(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
                QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
     {
diff --git a/tests/validation/fixtures/Pooling3dLayerFixture.h b/tests/validation/fixtures/Pooling3dLayerFixture.h
index 563f1dcced..1bdf615fb1 100644
--- a/tests/validation/fixtures/Pooling3dLayerFixture.h
+++ b/tests/validation/fixtures/Pooling3dLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2022 Arm Limited.
+ * Copyright (c) 2022-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -45,7 +45,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class Pooling3dLayerValidationGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, Pooling3dLayerInfo pool_info, DataType data_type, QuantizationInfo input_qinfo = QuantizationInfo(), QuantizationInfo output_qinfo = QuantizationInfo())
     {
         _target    = compute_target(shape, pool_info, data_type, input_qinfo, output_qinfo);
@@ -120,7 +119,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class Pooling3dLayerValidationFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, PoolingType pool_type, Size3D pool_size, Size3D stride, Padding3D padding, bool exclude_padding, DataType data_type)
     {
         Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, Pooling3dLayerInfo(pool_type, pool_size, stride, padding, exclude_padding),
@@ -132,7 +130,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class Pooling3dLayerValidationQuantizedFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, PoolingType pool_type, Size3D pool_size, Size3D stride, Padding3D padding, bool exclude_padding, DataType data_type,
                QuantizationInfo input_qinfo = QuantizationInfo(), QuantizationInfo output_qinfo = QuantizationInfo())
     {
@@ -145,7 +142,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class Pooling3dLayerGlobalValidationFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, PoolingType pool_type, DataType data_type)
     {
         Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, Pooling3dLayerInfo(pool_type), data_type);
@@ -156,7 +152,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class SpecialPooling3dLayerValidationFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape src_shape, Pooling3dLayerInfo pool_info, DataType data_type)
     {
         Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(src_shape, pool_info, data_type);
diff --git a/tests/validation/fixtures/PoolingLayerFixture.h b/tests/validation/fixtures/PoolingLayerFixture.h
index f34aaa8bfa..59c920868b 100644
--- a/tests/validation/fixtures/PoolingLayerFixture.h
+++ b/tests/validation/fixtures/PoolingLayerFixture.h
@@ -45,7 +45,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PoolingLayerValidationGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, PoolingLayerInfo pool_info, DataType data_type, DataLayout data_layout, bool indices = false,
                QuantizationInfo input_qinfo = QuantizationInfo(), QuantizationInfo output_qinfo = QuantizationInfo(), bool mixed_layout = false)
     {
@@ -161,7 +160,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PoolingLayerIndicesValidationFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, PoolingType pool_type, Size2D pool_size, PadStrideInfo pad_stride_info, bool exclude_padding, DataType data_type, DataLayout data_layout, bool use_kernel_indices)
     {
         PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, PoolingLayerInfo(pool_type, pool_size, data_layout, pad_stride_info, exclude_padding, false,
@@ -174,7 +172,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PoolingLayerValidationFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, PoolingType pool_type, Size2D pool_size, PadStrideInfo pad_stride_info, bool exclude_padding, DataType data_type, DataLayout data_layout)
     {
         PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, PoolingLayerInfo(pool_type, pool_size, data_layout, pad_stride_info, exclude_padding),
@@ -186,7 +183,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PoolingLayerValidationMixedPrecisionFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, PoolingType pool_type, Size2D pool_size, PadStrideInfo pad_stride_info, bool exclude_padding, DataType data_type, DataLayout data_layout, bool fp_mixed_precision = false)
     {
         PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, PoolingLayerInfo(pool_type, pool_size, data_layout, pad_stride_info, exclude_padding, fp_mixed_precision),
@@ -198,7 +194,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PoolingLayerValidationQuantizedFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, PoolingType pool_type, Size2D pool_size, PadStrideInfo pad_stride_info, bool exclude_padding, DataType data_type, DataLayout data_layout = DataLayout::NCHW,
                QuantizationInfo input_qinfo = QuantizationInfo(), QuantizationInfo output_qinfo = QuantizationInfo())
     {
@@ -211,7 +206,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class SpecialPoolingLayerValidationFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape src_shape, PoolingLayerInfo pool_info, DataType data_type)
     {
         PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(src_shape, pool_info, data_type, pool_info.data_layout);
@@ -222,7 +216,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class GlobalPoolingLayerValidationFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, PoolingType pool_type, DataType data_type, DataLayout data_layout = DataLayout::NCHW)
     {
         PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, PoolingLayerInfo(pool_type, data_layout), data_type, data_layout);
diff --git a/tests/validation/fixtures/PriorBoxLayerFixture.h b/tests/validation/fixtures/PriorBoxLayerFixture.h
index 40a9f5d976..0a76cfd155 100644
--- a/tests/validation/fixtures/PriorBoxLayerFixture.h
+++ b/tests/validation/fixtures/PriorBoxLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -45,7 +45,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class PriorBoxLayerValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, PriorBoxLayerInfo info, DataType data_type, DataLayout data_layout)
     {
         TensorInfo        input_info(input_shape, 1, data_type);
diff --git a/tests/validation/fixtures/QLSTMLayerNormalizationFixture.h b/tests/validation/fixtures/QLSTMLayerNormalizationFixture.h
index b496e4abad..e864b4affe 100644
--- a/tests/validation/fixtures/QLSTMLayerNormalizationFixture.h
+++ b/tests/validation/fixtures/QLSTMLayerNormalizationFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2020-2021 Arm Limited.
+ * Copyright (c) 2020-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -44,7 +44,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class QLSTMLayerNormalizationValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weight_shape, TensorShape bias_shape, DataType data_type, QuantizationInfo weight_qinfo)
     {
         ARM_COMPUTE_ERROR_ON(data_type != DataType::QSYMM16);
diff --git a/tests/validation/fixtures/QuantizationLayerFixture.h b/tests/validation/fixtures/QuantizationLayerFixture.h
index 8e8b920a9a..1b21967bda 100644
--- a/tests/validation/fixtures/QuantizationLayerFixture.h
+++ b/tests/validation/fixtures/QuantizationLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -46,7 +46,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class QuantizationValidationGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type_in, DataType data_type_out, QuantizationInfo qinfo, QuantizationInfo qinfo_in)
     {
         _target    = compute_target(shape, data_type_in, data_type_out, qinfo, qinfo_in);
@@ -108,7 +107,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class QuantizationValidationFixture : public QuantizationValidationGenericFixture<TensorType, AccessorType, FunctionType, Tin, Tout>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type_in, DataType data_type_out, QuantizationInfo qinfo)
     {
         QuantizationValidationGenericFixture<TensorType, AccessorType, FunctionType, Tin, Tout>::setup(shape, data_type_in, data_type_out, qinfo, QuantizationInfo());
diff --git a/tests/validation/fixtures/RNNLayerFixture.h b/tests/validation/fixtures/RNNLayerFixture.h
index 983cd43398..e9a05e7838 100644
--- a/tests/validation/fixtures/RNNLayerFixture.h
+++ b/tests/validation/fixtures/RNNLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -42,7 +42,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class RNNLayerValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape recurrent_weights_shape, TensorShape bias_shape, TensorShape output_shape, ActivationLayerInfo info,
                DataType data_type)
     {
diff --git a/tests/validation/fixtures/ROIAlignLayerFixture.h b/tests/validation/fixtures/ROIAlignLayerFixture.h
index 4c349bcd47..ad76dcbbd9 100644
--- a/tests/validation/fixtures/ROIAlignLayerFixture.h
+++ b/tests/validation/fixtures/ROIAlignLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -45,7 +45,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ROIAlignLayerGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, const ROIPoolingLayerInfo pool_info, TensorShape rois_shape, DataType data_type, DataLayout data_layout, QuantizationInfo qinfo, QuantizationInfo output_qinfo)
     {
         _rois_data_type = is_data_type_quantized_asymmetric(data_type) ? DataType::QASYMM16 : data_type;
@@ -189,7 +188,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ROIAlignLayerFixture : public ROIAlignLayerGenericFixture<TensorType, AccessorType, FunctionType, T, TRois>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, const ROIPoolingLayerInfo pool_info, TensorShape rois_shape, DataType data_type, DataLayout data_layout)
     {
         ROIAlignLayerGenericFixture<TensorType, AccessorType, FunctionType, T, TRois>::setup(input_shape, pool_info, rois_shape, data_type, data_layout,
@@ -201,7 +199,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ROIAlignLayerQuantizedFixture : public ROIAlignLayerGenericFixture<TensorType, AccessorType, FunctionType, T, TRois>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, const ROIPoolingLayerInfo pool_info, TensorShape rois_shape, DataType data_type,
                DataLayout data_layout, QuantizationInfo qinfo, QuantizationInfo output_qinfo)
     {
diff --git a/tests/validation/fixtures/ROIPoolingLayerFixture.h b/tests/validation/fixtures/ROIPoolingLayerFixture.h
index 763c5a7d76..4b46a6176d 100644
--- a/tests/validation/fixtures/ROIPoolingLayerFixture.h
+++ b/tests/validation/fixtures/ROIPoolingLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2021 Arm Limited.
+ * Copyright (c) 2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -45,7 +45,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ROIPoolingLayerGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, const ROIPoolingLayerInfo pool_info, TensorShape rois_shape, DataType data_type, DataLayout data_layout, QuantizationInfo qinfo, QuantizationInfo output_qinfo)
     {
         _target    = compute_target(input_shape, data_type, data_layout, pool_info, rois_shape, qinfo, output_qinfo);
@@ -174,7 +173,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ROIPoolingLayerQuantizedFixture : public ROIPoolingLayerGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, const ROIPoolingLayerInfo pool_info, TensorShape rois_shape, DataType data_type,
                DataLayout data_layout, QuantizationInfo qinfo, QuantizationInfo output_qinfo)
     {
@@ -187,7 +185,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ROIPoolingLayerFixture : public ROIPoolingLayerGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, const ROIPoolingLayerInfo pool_info, TensorShape rois_shape, DataType data_type, DataLayout data_layout)
     {
         ROIPoolingLayerGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, pool_info, rois_shape, data_type, data_layout,
diff --git a/tests/validation/fixtures/RangeFixture.h b/tests/validation/fixtures/RangeFixture.h
index 9265e299b6..166613a318 100644
--- a/tests/validation/fixtures/RangeFixture.h
+++ b/tests/validation/fixtures/RangeFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -55,7 +55,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class RangeFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(const DataType data_type0, float start, float step, const QuantizationInfo qinfo0 = QuantizationInfo())
     {
         _target    = compute_target(data_type0, qinfo0, start, step);
diff --git a/tests/validation/fixtures/ReduceMeanFixture.h b/tests/validation/fixtures/ReduceMeanFixture.h
index 13354eedc1..39fdea59fc 100644
--- a/tests/validation/fixtures/ReduceMeanFixture.h
+++ b/tests/validation/fixtures/ReduceMeanFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -47,7 +47,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ReduceMeanValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     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_input, quantization_info_output);
@@ -155,7 +154,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ReduceMeanQuantizedFixture : public ReduceMeanValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     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_input, quantization_info_output);
@@ -166,7 +164,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ReduceMeanFixture : public ReduceMeanValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 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(), QuantizationInfo());
diff --git a/tests/validation/fixtures/ReductionOperationFixture.h b/tests/validation/fixtures/ReductionOperationFixture.h
index c333f1391f..36e6309d6f 100644
--- a/tests/validation/fixtures/ReductionOperationFixture.h
+++ b/tests/validation/fixtures/ReductionOperationFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2022 Arm Limited.
+ * Copyright (c) 2017-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -45,7 +45,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ReductionOperationValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info, bool keep_dims = false)
     {
         const bool is_arg_min_max = (op == ReductionOperation::ARG_IDX_MAX) || (op == ReductionOperation::ARG_IDX_MIN);
@@ -149,7 +148,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ReductionOperationQuantizedFixture : public ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info = QuantizationInfo(), bool keep_dims = false)
     {
         ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, quantization_info, keep_dims);
@@ -160,7 +158,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ReductionOperationFixture : public ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, bool keep_dims = false)
     {
         ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, QuantizationInfo(), keep_dims);
diff --git a/tests/validation/fixtures/ReorderFixture.h b/tests/validation/fixtures/ReorderFixture.h
index bb3e3730df..36e62696bc 100644
--- a/tests/validation/fixtures/ReorderFixture.h
+++ b/tests/validation/fixtures/ReorderFixture.h
@@ -44,7 +44,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ReorderValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape output_shape, WeightFormat input_wf, WeightFormat output_wf, DataType data_type)
     {
         _target    = compute_target(input_shape, output_shape, input_wf, output_wf, data_type);
diff --git a/tests/validation/fixtures/ReorgLayerFixture.h b/tests/validation/fixtures/ReorgLayerFixture.h
index 76a486e3d7..f87017190e 100644
--- a/tests/validation/fixtures/ReorgLayerFixture.h
+++ b/tests/validation/fixtures/ReorgLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -43,7 +43,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ReorgLayerValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, int32_t stride, DataType data_type, DataLayout data_layout)
     {
         _target    = compute_target(input_shape, stride, data_type, data_layout);
diff --git a/tests/validation/fixtures/ReshapeLayerFixture.h b/tests/validation/fixtures/ReshapeLayerFixture.h
index 8a98379ef2..b4c3a9fa1b 100644
--- a/tests/validation/fixtures/ReshapeLayerFixture.h
+++ b/tests/validation/fixtures/ReshapeLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -44,7 +44,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ReshapeLayerValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape output_shape, DataType data_type)
     {
         _target    = compute_target(input_shape, output_shape, data_type);
diff --git a/tests/validation/fixtures/ReverseFixture.h b/tests/validation/fixtures/ReverseFixture.h
index 9d047a0067..509fd93abf 100644
--- a/tests/validation/fixtures/ReverseFixture.h
+++ b/tests/validation/fixtures/ReverseFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -45,7 +45,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ReverseValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, TensorShape axis_shape, DataType data_type)
     {
         _target    = compute_target(shape, axis_shape, data_type);
diff --git a/tests/validation/fixtures/ScaleFixture.h b/tests/validation/fixtures/ScaleFixture.h
index 72feb62016..b00a86f6dc 100644
--- a/tests/validation/fixtures/ScaleFixture.h
+++ b/tests/validation/fixtures/ScaleFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2022 Arm Limited.
+ * Copyright (c) 2017-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -38,7 +38,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ScaleValidationGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, QuantizationInfo quantization_info, DataLayout data_layout, InterpolationPolicy policy, BorderMode border_mode, SamplingPolicy sampling_policy,
                bool align_corners, bool mixed_layout, QuantizationInfo output_quantization_info)
     {
@@ -211,7 +210,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ScaleValidationQuantizedFixture : public ScaleValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, QuantizationInfo quantization_info, DataLayout data_layout, InterpolationPolicy policy, BorderMode border_mode, SamplingPolicy sampling_policy,
                bool align_corners)
     {
@@ -231,7 +229,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ScaleValidationDifferentOutputQuantizedFixture : public ScaleValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, QuantizationInfo input_quantization_info, QuantizationInfo output_quantization_info, DataLayout data_layout, InterpolationPolicy policy,
                BorderMode border_mode, SamplingPolicy sampling_policy,
                bool align_corners)
@@ -252,7 +249,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ScaleValidationFixture : public ScaleValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, DataLayout data_layout, InterpolationPolicy policy, BorderMode border_mode, SamplingPolicy sampling_policy, bool align_corners)
     {
         ScaleValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape,
diff --git a/tests/validation/fixtures/ScharrFixture.h b/tests/validation/fixtures/ScharrFixture.h
index e67d0178b0..b54a9d29e6 100644
--- a/tests/validation/fixtures/ScharrFixture.h
+++ b/tests/validation/fixtures/ScharrFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -66,7 +66,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class ScharrValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, BorderMode border_mode, Format format, GradientDimension gradient_dimension)
     {
         // Generate a random constant value
diff --git a/tests/validation/fixtures/SelectFixture.h b/tests/validation/fixtures/SelectFixture.h
index 7b035574f7..8cb6f062f9 100644
--- a/tests/validation/fixtures/SelectFixture.h
+++ b/tests/validation/fixtures/SelectFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -63,7 +63,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class SelectValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, bool has_same_same_rank, DataType data_type)
     {
         TensorShape condition_shape = detail::select_condition_shape(shape, has_same_same_rank);
diff --git a/tests/validation/fixtures/SliceOperationsFixtures.h b/tests/validation/fixtures/SliceOperationsFixtures.h
index 267cdd5123..b1f91ea2e0 100644
--- a/tests/validation/fixtures/SliceOperationsFixtures.h
+++ b/tests/validation/fixtures/SliceOperationsFixtures.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -45,7 +45,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class SliceFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, Coordinates starts, Coordinates ends, DataType data_type)
     {
         _target    = compute_target(shape, starts, ends, data_type);
@@ -108,7 +107,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class StridedSliceFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape,
                Coordinates starts, Coordinates ends, BiStrides strides,
                int32_t begin_mask, int32_t end_mask, int32_t shrink_mask,
diff --git a/tests/validation/fixtures/SoftmaxLayerFixture.h b/tests/validation/fixtures/SoftmaxLayerFixture.h
index 352e215dee..f4bf8df9c0 100644
--- a/tests/validation/fixtures/SoftmaxLayerFixture.h
+++ b/tests/validation/fixtures/SoftmaxLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -46,7 +46,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class SoftmaxValidationGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, QuantizationInfo quantization_info, float beta, size_t axis)
     {
         _quantization_info = quantization_info;
@@ -131,7 +130,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class SoftmaxValidationFixture : public SoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T, IS_LOG>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, float beta, size_t axis)
     {
         SoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T, IS_LOG>::setup(shape,
@@ -146,7 +144,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class SoftmaxValidationQuantizedFixture : public SoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T, IS_LOG>
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, QuantizationInfo quantization_info, float beta, size_t axis)
     {
         SoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T, IS_LOG>::setup(shape,
diff --git a/tests/validation/fixtures/SpaceToBatchFixture.h b/tests/validation/fixtures/SpaceToBatchFixture.h
index cfa7775c21..964e511301 100644
--- a/tests/validation/fixtures/SpaceToBatchFixture.h
+++ b/tests/validation/fixtures/SpaceToBatchFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -39,7 +39,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class SpaceToBatchLayerValidationGenericFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape block_shape_shape, TensorShape paddings_shape, TensorShape output_shape,
                DataType data_type, DataLayout data_layout, QuantizationInfo quantization_info)
     {
@@ -140,7 +139,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class SpaceToBatchLayerValidationFixture : public SpaceToBatchLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape block_shape_shape, TensorShape paddings_shape, TensorShape output_shape,
                DataType data_type, DataLayout data_layout)
     {
@@ -152,7 +150,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class SpaceToBatchLayerValidationQuantizedFixture : public SpaceToBatchLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape block_shape_shape, TensorShape paddings_shape, TensorShape output_shape,
                DataType data_type, DataLayout data_layout, QuantizationInfo quantization_info)
     {
diff --git a/tests/validation/fixtures/SpaceToDepthFixture.h b/tests/validation/fixtures/SpaceToDepthFixture.h
index 0776e495eb..2d2e9fad7d 100644
--- a/tests/validation/fixtures/SpaceToDepthFixture.h
+++ b/tests/validation/fixtures/SpaceToDepthFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2021 Arm Limited.
+ * Copyright (c) 2019-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -40,7 +40,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class SpaceToDepthLayerValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape output_shape, const int block_shape, DataType data_type, DataLayout data_layout)
     {
         _target    = compute_target(input_shape, output_shape, block_shape, data_type, data_layout);
diff --git a/tests/validation/fixtures/SplitFixture.h b/tests/validation/fixtures/SplitFixture.h
index 3006f21467..203925329c 100644
--- a/tests/validation/fixtures/SplitFixture.h
+++ b/tests/validation/fixtures/SplitFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -47,7 +47,6 @@ template <typename TensorType, typename ITensorType, typename AccessorType, type
 class SplitFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, unsigned int axis, unsigned int splits, DataType data_type)
     {
         _target    = compute_target(shape, axis, splits, data_type);
@@ -149,7 +148,6 @@ template <typename TensorType, typename ITensorType, typename AccessorType, type
 class SplitShapesFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, unsigned int axis, std::vector<TensorShape> split_shapes, DataType data_type)
     {
         _target    = compute_target(shape, axis, split_shapes, data_type);
diff --git a/tests/validation/fixtures/StackLayerFixture.h b/tests/validation/fixtures/StackLayerFixture.h
index f729e059b0..7320a032bd 100644
--- a/tests/validation/fixtures/StackLayerFixture.h
+++ b/tests/validation/fixtures/StackLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -52,7 +52,6 @@ template <typename TensorType, typename AbstractTensorType, typename AccessorTyp
 class StackLayerValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape_src, int axis, DataType data_type, int num_tensors)
     {
         _target    = compute_target(shape_src, axis, data_type, num_tensors);
diff --git a/tests/validation/fixtures/TileFixture.h b/tests/validation/fixtures/TileFixture.h
index 35773d9a83..979eee5ab1 100644
--- a/tests/validation/fixtures/TileFixture.h
+++ b/tests/validation/fixtures/TileFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -44,7 +44,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class TileValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type, const Multiples &multiples)
     {
         _target    = compute_target(shape, data_type, multiples);
diff --git a/tests/validation/fixtures/TransposeFixture.h b/tests/validation/fixtures/TransposeFixture.h
index 6f032d4889..92eb9af0c1 100644
--- a/tests/validation/fixtures/TransposeFixture.h
+++ b/tests/validation/fixtures/TransposeFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -44,7 +44,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class TransposeValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape shape, DataType data_type)
     {
         _target    = compute_target(shape, data_type);
diff --git a/tests/validation/fixtures/UNIT/DynamicTensorFixture.h b/tests/validation/fixtures/UNIT/DynamicTensorFixture.h
index bdf43050e6..3e96dcbf2d 100644
--- a/tests/validation/fixtures/UNIT/DynamicTensorFixture.h
+++ b/tests/validation/fixtures/UNIT/DynamicTensorFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2021 Arm Limited.
+ * Copyright (c) 2019-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -127,7 +127,6 @@ class DynamicTensorType3SingleFunction : public framework::Fixture
     using T = float;
 
 public:
-    template <typename...>
     void setup(TensorShape input_level0, TensorShape input_level1)
     {
         input_l0 = input_level0;
@@ -251,7 +250,6 @@ class DynamicTensorType3ComplexFunction : public framework::Fixture
     using T = float;
 
 public:
-    template <typename...>
     void setup(std::vector<TensorShape> input_shapes, TensorShape weights_shape, TensorShape bias_shape, std::vector<TensorShape> output_shapes, PadStrideInfo info)
     {
         num_iterations = input_shapes.size();
@@ -390,7 +388,6 @@ class DynamicTensorType2PipelineFunction : public framework::Fixture
     using T = float;
 
 public:
-    template <typename...>
     void setup(std::vector<TensorShape> input_shapes)
     {
         _data_type    = DataType::F32;
diff --git a/tests/validation/fixtures/UnstackFixture.h b/tests/validation/fixtures/UnstackFixture.h
index 4f8b280735..30b7dd5539 100644
--- a/tests/validation/fixtures/UnstackFixture.h
+++ b/tests/validation/fixtures/UnstackFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -47,7 +47,6 @@ template <typename TensorType, typename ITensorType, typename AccessorType, type
 class UnstackValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, int axis, int num, DataType data_type)
     {
         _target    = compute_target(input_shape, axis, num, data_type);
diff --git a/tests/validation/fixtures/WeightsReshapeFixture.h b/tests/validation/fixtures/WeightsReshapeFixture.h
index 7c7214acac..68bd8b689d 100644
--- a/tests/validation/fixtures/WeightsReshapeFixture.h
+++ b/tests/validation/fixtures/WeightsReshapeFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -48,7 +48,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class WeightsReshapeOpValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, DataType data_type, bool has_bias, unsigned int num_groups)
     {
         const TensorShape output_shape = compute_weights_reshaped_shape(TensorInfo(input_shape, 1, data_type), has_bias, num_groups);
diff --git a/tests/validation/fixtures/WinogradConvolutionLayerFixture.h b/tests/validation/fixtures/WinogradConvolutionLayerFixture.h
index e99eb910e8..1e8820492a 100644
--- a/tests/validation/fixtures/WinogradConvolutionLayerFixture.h
+++ b/tests/validation/fixtures/WinogradConvolutionLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -55,7 +55,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class WinogradConvolutionLayerFastMathValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation,
                DataType data_type, ActivationLayerInfo act_info, const DataLayout &data_layout)
 
@@ -243,7 +242,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class WinogradInputTransformValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, WinogradInfo winograd_info, DataLayout data_layout, DataType data_type)
     {
         TensorShape output_shape = compute_winograd_input_transform_shape(TensorInfo(input_shape, 1, data_type), winograd_info);
@@ -355,7 +353,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class WinogradFilterTransformValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, Size2D output_tile, DataLayout data_layout, DataType data_type)
     {
         WinogradInfo winograd_info(output_tile, Size2D(input_shape[0], input_shape[1]), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, DataLayout::NCHW /* Not needed */);
@@ -470,7 +467,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class WinogradOutputTransformValidationFixture : public framework::Fixture
 {
 public:
-    template <typename...>
     void setup(TensorShape input_shape, WinogradInfo winograd_info, DataType data_type, ActivationLayerInfo act_info = ActivationLayerInfo())
     {
         _target    = compute_target(input_shape, winograd_info, data_type, act_info);
author	Matthew Bentham <Matthew.Bentham@arm.com>	2023-07-12 11:54:59 +0000
committer	Matthew Bentham <matthew.bentham@arm.com>	2023-07-12 14:56:44 +0000
commit	945b8da90cea5ccacc0294e58131f73f39137367 (patch)
tree	e3ae7bb1fc5ef28a683883c0eafef531e4f4fa2e
parent	ab0b75054ca3ddd62cff34518f331aa8474daa5a (diff)
download	ComputeLibrary-945b8da90cea5ccacc0294e58131f73f39137367.tar.gz