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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_REDUCE_MEAN_FIXTURE
+#define ARM_COMPUTE_TEST_REDUCE_MEAN_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/Tensor.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/ReductionOperation.h"
+#include "tests/validation/reference/ReshapeLayer.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class ReduceMeanValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type, Coordinates axis, bool keep_dims, QuantizationInfo quantization_info)
+    {
+        _target    = compute_target(shape, data_type, axis, keep_dims, quantization_info);
+        _reference = compute_reference(shape, data_type, axis, keep_dims, quantization_info);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor)
+    {
+        if(!is_data_type_quantized(tensor.data_type()))
+        {
+            std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
+            library->fill(tensor, distribution, 0);
+        }
+        else
+        {
+            const QuantizationInfo          quant_info = tensor.quantization_info();
+            const int                       min_bound  = quant_info.quantize(-1.f, RoundingPolicy::TO_NEAREST_UP);
+            const int                       max_bound  = quant_info.quantize(1.f, RoundingPolicy::TO_NEAREST_UP);
+            std::uniform_int_distribution<> distribution(min_bound, max_bound);
+
+            library->fill(tensor, distribution, 0);
+        }
+    }
+
+    TensorType compute_target(TensorShape &src_shape, DataType data_type, Coordinates axis, bool keep_dims, QuantizationInfo quantization_info)
+    {
+        // Create tensors
+        TensorType src = create_tensor<TensorType>(src_shape, data_type, 1, quantization_info);
+        TensorType dst;
+
+        // Create and configure function
+        FunctionType reduction_mean;
+        reduction_mean.configure(&src, axis, keep_dims, &dst);
+
+        ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Fill tensors
+        fill(AccessorType(src));
+
+        // Compute function
+        reduction_mean.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference(TensorShape &src_shape, DataType data_type, Coordinates axis, bool keep_dims, QuantizationInfo quantization_info)
+    {
+        // Create reference
+        SimpleTensor<T> src{ src_shape, data_type, 1, quantization_info };
+
+        // Fill reference
+        fill(src);
+
+        SimpleTensor<T> out;
+        for(unsigned int i = 0; i < axis.num_dimensions(); ++i)
+        {
+            TensorShape output_shape = i == 0 ? src_shape : out.shape();
+            output_shape.set(axis[i], 1);
+            out = reference::reduction_operation<T>(i == 0 ? src : out, output_shape, axis[i], ReductionOperation::MEAN_SUM);
+        }
+
+        if(!keep_dims)
+        {
+            TensorShape output_shape = src_shape;
+            for(unsigned int i = 0; i < axis.num_dimensions(); ++i)
+            {
+                output_shape.remove_dimension(axis[i]);
+            }
+
+            out = reference::reshape_layer(out, output_shape);
+        }
+        return out;
+    }
+
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+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 = QuantizationInfo())
+    {
+        ReduceMeanValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, keep_dims, quantization_info);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+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());
+    }
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_REDUCE_MEAN_FIXTURE */