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>
diff --git a/tests/validation/fixtures/Pooling3dLayerFixture.h b/tests/validation/fixtures/Pooling3dLayerFixture.h
index 563f1dc..1bdf615 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 @@
 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 @@
 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 @@
 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 @@
 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 @@
 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);