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diff --git a/tests/validation/fixtures/ReorderFixture.h b/tests/validation/fixtures/ReorderFixture.h
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+/*
+ * Copyright (c) 2023-2024 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 ACL_TESTS_VALIDATION_FIXTURES_REORDERFIXTURE_H
+#define ACL_TESTS_VALIDATION_FIXTURES_REORDERFIXTURE_H
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.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/reference/Reorder.h"
+#include "src/core/NEON/kernels/arm_gemm/utils.hpp"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+/** [ReorderLayer fixture] **/
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class ReorderValidationFixture : public framework::Fixture
+{
+public:
+    void check_hardware_supports(WeightFormat output_wf){
+        if(!Scheduler::get().cpu_info().has_sve() && output_wf!=WeightFormat::OHWIo4){
+            _hardware_supports = false;
+        }
+        if (Scheduler::get().cpu_info().has_sve() && arm_gemm::utils::get_vector_length<float>() != 8 && output_wf==WeightFormat::OHWIo8)
+        {
+            _hardware_supports = false;
+        }
+    }
+
+    void setup(TensorShape input_shape, TensorShape output_shape, WeightFormat input_wf, WeightFormat output_wf, DataType data_type)
+    {
+        check_hardware_supports(output_wf);
+        if (_hardware_supports){
+            _target    = compute_target(input_shape, output_shape, input_wf, output_wf, data_type);
+            _reference = compute_reference(input_shape, output_shape, output_wf, data_type);
+        }
+    }
+
+    protected:
+    template <typename U>
+    void fill(U &&tensor)
+    {
+        library->fill_tensor_uniform(tensor, 0);
+    }
+
+    TensorType compute_target(const TensorShape &input_shape, const TensorShape &output_shape, WeightFormat input_wf, WeightFormat output_wf, DataType data_type)
+    {
+        // Create tensors
+        TensorType src = create_tensor<TensorType>(input_shape, data_type);
+        TensorType dst = create_tensor<TensorType>(output_shape, data_type);
+
+        // Create and configure function
+        FunctionType reorder;
+
+        reorder.configure(&src, &dst, input_wf, output_wf);
+
+        ARM_COMPUTE_ASSERT(src.info()->is_resizable());
+        ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
+        ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
+
+        // Fill tensors
+        fill(AccessorType(src));
+
+        // Compute function
+        reorder.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &output_shape, WeightFormat output_wf, DataType data_type)
+    {
+        // Create reference
+        SimpleTensor<T> src{ input_shape, data_type };
+
+        // Fill reference
+        fill(src);
+
+        return reference::reorder_layer<T>(src, output_shape, output_wf);
+    }
+
+    bool _hardware_supports = true;
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+};
+/** [ReorderLayer fixture] **/
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif // ACL_TESTS_VALIDATION_FIXTURES_REORDERFIXTURE_H