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diff --git a/tests/validation/fixtures/StackLayerFixture.h b/tests/validation/fixtures/StackLayerFixture.h
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+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_TEST_STACK_LAYER_FIXTURE
+#define ARM_COMPUTE_TEST_STACK_LAYER_FIXTURE
+
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "tests/AssetsLibrary.h"
+#include "tests/Globals.h"
+#include "tests/IAccessor.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Fixture.h"
+#include "tests/validation/Helpers.h"
+#include "tests/validation/reference/StackLayer.h"
+#include "tests/validation/reference/Utils.h"
+
+#include <random>
+#include <vector>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+using namespace arm_compute::misc::shape_calculator;
+
+template <typename TensorType, typename AbstractTensorType, typename AccessorType, typename FunctionType, typename T>
+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);
+        _reference = compute_reference(shape_src, axis, data_type, num_tensors);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor, unsigned int i)
+    {
+        library->fill_tensor_uniform(tensor, i);
+    }
+
+    TensorType compute_target(TensorShape shape_src, int axis, DataType data_type, int num_tensors)
+    {
+        std::vector<TensorType>           tensors(num_tensors);
+        std::vector<AbstractTensorType *> src(num_tensors);
+
+        // Create vector of input tensors
+        for(int i = 0; i < num_tensors; ++i)
+        {
+            tensors[i] = create_tensor<TensorType>(shape_src, data_type);
+            src[i]     = &(tensors[i]);
+            ARM_COMPUTE_EXPECT(tensors[i].info()->is_resizable(), framework::LogLevel::ERRORS);
+        }
+
+        // Create tensors
+        CLTensor dst;
+
+        // The output tensor will be auto-initialized within the function
+
+        // Create and configure function
+        FunctionType stack;
+        stack.configure(src, axis, &dst);
+
+        // Allocate and fill the input tensors
+        for(int i = 0; i < num_tensors; ++i)
+        {
+            ARM_COMPUTE_EXPECT(tensors[i].info()->is_resizable(), framework::LogLevel::ERRORS);
+            tensors[i].allocator()->allocate();
+            ARM_COMPUTE_EXPECT(!tensors[i].info()->is_resizable(), framework::LogLevel::ERRORS);
+
+            // Fill input tensor
+            fill(AccessorType(tensors[i]), i);
+        }
+
+        // Allocate output tensor
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Compute stack function
+        stack.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference(const TensorShape &shape_src, int axis, DataType data_type, int num_tensors)
+    {
+        std::vector<SimpleTensor<T>> src;
+
+        for(int i = 0; i < num_tensors; ++i)
+        {
+            src.emplace_back(std::move(SimpleTensor<T>(shape_src, data_type, 1)));
+
+            fill(src[i], i);
+        }
+
+        // Wrap around negative values
+        const unsigned int axis_u = wrap_around(axis, static_cast<int>(shape_src.num_dimensions() + 1));
+
+        const TensorShape shape_dst = compute_stack_shape(TensorInfo(shape_src, 1, data_type), axis_u, num_tensors);
+
+        return reference::stack_layer<T>(src, shape_dst, data_type, axis_u);
+    }
+
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_STACK_LAYER_FIXTURE */