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diff --git a/tests/validation/ReferenceCPP.cpp b/tests/validation/ReferenceCPP.cpp
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+/*
+ * Copyright (c) 2017 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.
+ */
+#include "ReferenceCPP.h"
+
+#include "TensorFactory.h"
+#include "TensorOperations.h"
+#include "TensorVisitors.h"
+#include "TypePrinter.h"
+
+#include "arm_compute/core/Coordinates.h"
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/runtime/Tensor.h"
+
+#include "boost_wrapper.h"
+
+#include <functional>
+#include <numeric>
+#include <vector>
+
+using namespace arm_compute::test::validation::tensor_visitors;
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+// Absolute difference
+void ReferenceCPP::absolute_difference(const RawTensor &src1, const RawTensor &src2, RawTensor &dst)
+{
+    const TensorVariant s1 = TensorFactory::get_tensor(src1);
+    const TensorVariant s2 = TensorFactory::get_tensor(src2);
+    TensorVariant       d  = TensorFactory::get_tensor(dst);
+    boost::apply_visitor(absolute_difference_visitor(), s1, s2, d);
+}
+// Integral image
+void ReferenceCPP::integral_image(const RawTensor &src, RawTensor &dst)
+{
+    ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst.data_type() != DataType::U32);
+    const Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data()));
+    Tensor<uint32_t>      d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<uint32_t *>(dst.data()));
+    tensor_operations::integral_image(s, d);
+}
+// Accumulate
+void ReferenceCPP::accumulate(const RawTensor &src, RawTensor &dst)
+{
+    ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst.data_type() != DataType::S16);
+    const Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data()));
+    Tensor<int16_t>       d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<int16_t *>(dst.data()));
+    tensor_operations::accumulate(s, d);
+}
+
+// Accumulate squared
+void ReferenceCPP::accumulate_squared(const RawTensor &src, RawTensor &dst, uint32_t shift)
+{
+    ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst.data_type() != DataType::S16);
+    const Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data()));
+    Tensor<int16_t>       d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<int16_t *>(dst.data()));
+    tensor_operations::accumulate_squared(s, d, shift);
+}
+
+// Accumulate weighted
+void ReferenceCPP::accumulate_weighted(const RawTensor &src, RawTensor &dst, float alpha)
+{
+    ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst.data_type() != DataType::U8);
+    const Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data()));
+    Tensor<uint8_t>       d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<uint8_t *>(dst.data()));
+    tensor_operations::accumulate_weighted(s, d, alpha);
+}
+
+// Arithmetic addition
+void ReferenceCPP::arithmetic_addition(const RawTensor &src1, const RawTensor &src2, RawTensor &dst, ConvertPolicy convert_policy)
+{
+    const TensorVariant s1 = TensorFactory::get_tensor(src1);
+    const TensorVariant s2 = TensorFactory::get_tensor(src2);
+    TensorVariant       d  = TensorFactory::get_tensor(dst);
+    boost::apply_visitor(arithmetic_addition_visitor(convert_policy), s1, s2, d);
+}
+
+// Arithmetic subtraction
+void ReferenceCPP::arithmetic_subtraction(const RawTensor &src1, const RawTensor &src2, RawTensor &dst, ConvertPolicy convert_policy)
+{
+    const TensorVariant s1 = TensorFactory::get_tensor(src1);
+    const TensorVariant s2 = TensorFactory::get_tensor(src2);
+    TensorVariant       d  = TensorFactory::get_tensor(dst);
+    boost::apply_visitor(arithmetic_subtraction_visitor(convert_policy), s1, s2, d);
+}
+
+// Bitwise and
+void ReferenceCPP::bitwise_and(const RawTensor &src1, const RawTensor &src2, RawTensor &dst)
+{
+    ARM_COMPUTE_ERROR_ON(src1.data_type() != DataType::U8 || src2.data_type() != DataType::U8 || dst.data_type() != DataType::U8);
+    const Tensor<uint8_t> s1(src1.shape(), src1.data_type(), src1.fixed_point_position(), reinterpret_cast<const uint8_t *>(src1.data()));
+    const Tensor<uint8_t> s2(src2.shape(), src2.data_type(), src2.fixed_point_position(), reinterpret_cast<const uint8_t *>(src2.data()));
+    Tensor<uint8_t>       d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<uint8_t *>(dst.data()));
+    tensor_operations::bitwise_and(s1, s2, d);
+}
+
+// Bitwise or
+void ReferenceCPP::bitwise_or(const RawTensor &src1, const RawTensor &src2, RawTensor &dst)
+{
+    ARM_COMPUTE_ERROR_ON(src1.data_type() != DataType::U8 || src2.data_type() != DataType::U8 || dst.data_type() != DataType::U8);
+    const Tensor<uint8_t> s1(src1.shape(), src1.data_type(), src1.fixed_point_position(), reinterpret_cast<const uint8_t *>(src1.data()));
+    const Tensor<uint8_t> s2(src2.shape(), src2.data_type(), src2.fixed_point_position(), reinterpret_cast<const uint8_t *>(src2.data()));
+    Tensor<uint8_t>       d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<uint8_t *>(dst.data()));
+    tensor_operations::bitwise_or(s1, s2, d);
+}
+
+// Bitwise xor
+void ReferenceCPP::bitwise_xor(const RawTensor &src1, const RawTensor &src2, RawTensor &dst)
+{
+    ARM_COMPUTE_ERROR_ON(src1.data_type() != DataType::U8 || src2.data_type() != DataType::U8 || dst.data_type() != DataType::U8);
+    const Tensor<uint8_t> s1(src1.shape(), src1.data_type(), src1.fixed_point_position(), reinterpret_cast<const uint8_t *>(src1.data()));
+    const Tensor<uint8_t> s2(src2.shape(), src2.data_type(), src2.fixed_point_position(), reinterpret_cast<const uint8_t *>(src2.data()));
+    Tensor<uint8_t>       d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<uint8_t *>(dst.data()));
+    tensor_operations::bitwise_xor(s1, s2, d);
+}
+
+// Bitwise not
+void ReferenceCPP::bitwise_not(const RawTensor &src, RawTensor &dst)
+{
+    ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst.data_type() != DataType::U8);
+    const Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data()));
+    Tensor<uint8_t>       d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<uint8_t *>(dst.data()));
+    tensor_operations::bitwise_not(s, d);
+}
+
+// 3-by-3 box filter
+void ReferenceCPP::box3x3(const RawTensor &src, RawTensor &dst)
+{
+    ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst.data_type() != DataType::U8);
+    const Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data()));
+    Tensor<uint8_t>       d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<uint8_t *>(dst.data()));
+    tensor_operations::box3x3(s, d);
+}
+
+// Depth conversion
+void ReferenceCPP::depth_convert(const RawTensor &src, RawTensor &dst, ConvertPolicy policy, uint32_t shift)
+{
+    const TensorVariant s = TensorFactory::get_tensor(src);
+    TensorVariant       d = TensorFactory::get_tensor(dst);
+    boost::apply_visitor(tensor_visitors::depth_convert_visitor(policy, shift), s, d);
+}
+
+// GEMM
+void ReferenceCPP::gemm(const RawTensor &src1, const RawTensor &src2, const RawTensor &src3,
+                        RawTensor &dst, float alpha, float beta)
+{
+    const TensorVariant s1 = TensorFactory::get_tensor(src1);
+    const TensorVariant s2 = TensorFactory::get_tensor(src2);
+    const TensorVariant s3 = TensorFactory::get_tensor(src3);
+    TensorVariant       d  = TensorFactory::get_tensor(dst);
+
+    boost::apply_visitor(tensor_visitors::gemm_visitor(s1, s2, s3, alpha, beta), d);
+}
+
+// Pixel-wise multiplication
+void ReferenceCPP::pixel_wise_multiplication(const RawTensor &src1, const RawTensor &src2, RawTensor &dst, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy)
+{
+    const TensorVariant s1 = TensorFactory::get_tensor(src1);
+    const TensorVariant s2 = TensorFactory::get_tensor(src2);
+    TensorVariant       d  = TensorFactory::get_tensor(dst);
+    boost::apply_visitor(pixel_wise_multiplication_visitor(scale, convert_policy, rounding_policy), s1, s2, d);
+}
+
+// Fixed-point Pixel-wise multiplication
+void ReferenceCPP::fixed_point_pixel_wise_multiplication(const RawTensor &src1, const RawTensor &src2, RawTensor &dst, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy)
+{
+    const TensorVariant s1 = TensorFactory::get_tensor(src1);
+    const TensorVariant s2 = TensorFactory::get_tensor(src2);
+    TensorVariant       d  = TensorFactory::get_tensor(dst);
+    boost::apply_visitor(tensor_visitors::fixed_point_pixel_wise_multiplication_visitor(s1, s2, scale, convert_policy, rounding_policy), d);
+}
+
+// Threshold
+void ReferenceCPP::threshold(const RawTensor &src, RawTensor &dst, uint8_t threshold, uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper)
+{
+    ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst.data_type() != DataType::U8);
+    const Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data()));
+    Tensor<uint8_t>       d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<uint8_t *>(dst.data()));
+    threshold_operation(s, d, threshold, false_value, true_value, type, upper);
+}
+
+// Activation layer
+void ReferenceCPP::activation_layer(const RawTensor &input, RawTensor &output, ActivationLayerInfo act_info)
+{
+    const TensorVariant s = TensorFactory::get_tensor(input);
+    TensorVariant       d = TensorFactory::get_tensor(output);
+    boost::apply_visitor(tensor_visitors::activation_layer_visitor(s, act_info), d);
+}
+
+// Batch Normalization Layer
+void ReferenceCPP::batch_normalization_layer(const RawTensor &src, RawTensor &dst, const RawTensor &mean, const RawTensor &var, const RawTensor &beta, const RawTensor &gamma, float epsilon,
+                                             int fixed_point_position)
+{
+    const TensorVariant s = TensorFactory::get_tensor(src);
+    TensorVariant       d = TensorFactory::get_tensor(dst);
+    const TensorVariant m = TensorFactory::get_tensor(mean);
+    const TensorVariant v = TensorFactory::get_tensor(var);
+    const TensorVariant b = TensorFactory::get_tensor(beta);
+    const TensorVariant g = TensorFactory::get_tensor(gamma);
+    boost::apply_visitor(tensor_visitors::batch_normalization_layer_visitor(s, m, v, b, g, epsilon, fixed_point_position), d);
+}
+
+// Convolution Layer
+void ReferenceCPP::convolution_layer(const RawTensor &src, const RawTensor &weights, const RawTensor &bias, RawTensor &dst, const PadStrideInfo &conv_info)
+{
+    const TensorVariant s = TensorFactory::get_tensor(src);
+    const TensorVariant w = TensorFactory::get_tensor(weights);
+    const TensorVariant b = TensorFactory::get_tensor(bias);
+    TensorVariant       d = TensorFactory::get_tensor(dst);
+    boost::apply_visitor(tensor_visitors::convolution_layer_visitor(s, w, b, conv_info), d);
+}
+
+// Fully connected layer
+void ReferenceCPP::fully_connected_layer(const RawTensor &src, const RawTensor &weights, const RawTensor &bias, RawTensor &dst)
+{
+    const TensorVariant s = TensorFactory::get_tensor(src);
+    const TensorVariant w = TensorFactory::get_tensor(weights);
+    const TensorVariant b = TensorFactory::get_tensor(bias);
+    TensorVariant       d = TensorFactory::get_tensor(dst);
+    boost::apply_visitor(tensor_visitors::fully_connected_layer_visitor(s, w, b), d);
+}
+
+// Normalization Layer
+void ReferenceCPP::normalization_layer(const RawTensor &src, RawTensor &dst, NormalizationLayerInfo norm_info)
+{
+    const TensorVariant s = TensorFactory::get_tensor(src);
+    TensorVariant       d = TensorFactory::get_tensor(dst);
+    boost::apply_visitor(tensor_visitors::normalization_layer_visitor(s, norm_info), d);
+}
+
+// Pooling Layer
+void ReferenceCPP::pooling_layer(const RawTensor &src, RawTensor &dst, PoolingLayerInfo pool_info, int fixed_point_position)
+{
+    const TensorVariant s = TensorFactory::get_tensor(src);
+    TensorVariant       d = TensorFactory::get_tensor(dst);
+    boost::apply_visitor(tensor_visitors::pooling_layer_visitor(s, pool_info, fixed_point_position), d);
+}
+
+// Softmax Layer
+void ReferenceCPP::softmax_layer(const RawTensor &src, RawTensor &dst)
+{
+    const TensorVariant s = TensorFactory::get_tensor(src);
+    TensorVariant       d = TensorFactory::get_tensor(dst);
+    boost::apply_visitor(tensor_visitors::softmax_layer_visitor(s), d);
+}
+
+// Fixed point operation
+void ReferenceCPP::fixed_point_operation(const RawTensor &src, RawTensor &dst, FixedPointOp op)
+{
+    const TensorVariant s = TensorFactory::get_tensor(src);
+    TensorVariant       d = TensorFactory::get_tensor(dst);
+    boost::apply_visitor(tensor_visitors::fixed_point_operation_visitor(s, op), d);
+}
+
+} // namespace validation
+} // namespace test
+} // namespace arm_compute