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diff --git a/tests/validation/CPP/Scharr.cpp b/tests/validation/CPP/Scharr.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 "Scharr.h"
+
+#include "Utils.h"
+#include "tests/validation/Helpers.h"
+
+#include <array>
+#include <map>
+#include <utility>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+namespace
+{
+const std::array<int8_t, 9> scharr_3_x{ { -3, 0, 3, -10, 0, 10, -3, 0, 3 } };
+const std::array<int8_t, 9> scharr_3_y{ { -3, -10, -3, 0, 0, 0, 3, 10, 3 } };
+
+const std::map<int, std::pair<const int8_t *, const int8_t *>> masks
+{
+    { 3, { scharr_3_x.data(), scharr_3_y.data() } }
+};
+
+template <typename T>
+struct data_type;
+
+template <>
+struct data_type<int16_t>
+{
+    const static DataType value = DataType::S16;
+};
+} // namespace
+
+template <typename T, typename U>
+std::pair<SimpleTensor<T>, SimpleTensor<T>> scharr(const SimpleTensor<U> &src, int filter_size, BorderMode border_mode, uint8_t constant_border_value, GradientDimension gradient_dimension)
+{
+    const auto shape_size = static_cast<unsigned int>(filter_size);
+
+    SimpleTensor<T> dst_x(src.shape(), data_type<T>::value, src.num_channels());
+    SimpleTensor<T> dst_y(src.shape(), data_type<T>::value, src.num_channels());
+
+    ValidRegion valid_region = shape_to_valid_region(src.shape(), border_mode == BorderMode::UNDEFINED, BorderSize(filter_size / 2));
+
+    for(int i = 0; i < src.num_elements(); ++i)
+    {
+        Coordinates coord = index2coord(src.shape(), i);
+
+        if(!is_in_valid_region(valid_region, coord))
+        {
+            continue;
+        }
+
+        switch(gradient_dimension)
+        {
+            case GradientDimension::GRAD_X:
+                apply_2d_spatial_filter(coord, src, dst_x, TensorShape{ shape_size, shape_size }, masks.at(filter_size).first, 1.f, border_mode, constant_border_value);
+                break;
+            case GradientDimension::GRAD_Y:
+                apply_2d_spatial_filter(coord, src, dst_y, TensorShape{ shape_size, shape_size }, masks.at(filter_size).second, 1.f, border_mode, constant_border_value);
+                break;
+            case GradientDimension::GRAD_XY:
+                apply_2d_spatial_filter(coord, src, dst_x, TensorShape{ shape_size, shape_size }, masks.at(filter_size).first, 1.f, border_mode, constant_border_value);
+                apply_2d_spatial_filter(coord, src, dst_y, TensorShape{ shape_size, shape_size }, masks.at(filter_size).second, 1.f, border_mode, constant_border_value);
+                break;
+            default:
+                ARM_COMPUTE_ERROR("Gradient dimension not supported");
+        }
+    }
+
+    return std::make_pair(dst_x, dst_y);
+}
+
+template std::pair<SimpleTensor<int16_t>, SimpleTensor<int16_t>> scharr(const SimpleTensor<uint8_t> &src, int filter_size, BorderMode border_mode, uint8_t constant_border_value,
+                                                                        GradientDimension gradient_dimension);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute