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diff --git a/tests/validation/CPP/DepthwiseConvolution.cpp b/tests/validation/CPP/DepthwiseConvolution.cpp
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+++ b/tests/validation/CPP/DepthwiseConvolution.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 "DepthwiseConvolution.h"
+
+#include "ConvolutionLayer.h"
+#include "Utils.h"
+
+#include "tests/validation/Helpers.h"
+#include "tests/validation/half.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+/** Perform a depthwise convolution
+ *
+ * - Three dimensions tensors
+ * - Third dimention is number of channels
+ * - Depths of input tensor and filter are equals
+ * - Padding, stride and output shape "match"
+ *
+ */
+template <typename T>
+SimpleTensor<T> depthwise_convolution(const SimpleTensor<T> &src, const SimpleTensor<T> &weights, const TensorShape &dst_shape, const PadStrideInfo &conv_info)
+{
+    // Create reference
+    SimpleTensor<T> dst{ dst_shape, src.data_type(), 1, src.fixed_point_position() };
+
+    // Compute reference
+    const size_t filter_width  = weights.shape().x();
+    const size_t filter_height = weights.shape().y();
+    const size_t filter_plane  = filter_width * filter_height;
+    const size_t input_width   = src.shape().x();
+    const size_t input_height  = src.shape().y();
+    const size_t input_depth   = src.shape().z();
+
+    const size_t filter_half_size = filter_width / 2;
+    const size_t pad_x            = std::min(filter_half_size, static_cast<size_t>(conv_info.pad().first));
+    const size_t pad_y            = std::min(filter_half_size, static_cast<size_t>(conv_info.pad().second));
+    const size_t minimum_x        = -pad_x + filter_half_size;
+    const size_t minimum_y        = -pad_y + filter_half_size;
+
+    int out_pos = 0;
+    for(size_t z = 0; z < input_depth; ++z)
+    {
+        for(size_t y = minimum_y; y < input_height + pad_y - filter_half_size; y += conv_info.stride().second)
+        {
+            for(size_t x = minimum_x; x < input_width + pad_x - filter_half_size; x += conv_info.stride().first)
+            {
+                Coordinates coords(static_cast<int>(x), static_cast<int>(y), static_cast<int>(z));
+                size_t      filter_offset = filter_plane * z;
+
+                T val = 0;
+                for(int j = y - filter_half_size; j <= static_cast<int>(y + filter_half_size); ++j)
+                {
+                    for(int i = x - filter_half_size; i <= static_cast<int>(x + filter_half_size); ++i)
+                    {
+                        coords.set(0, i);
+                        coords.set(1, j);
+                        val += *(weights.data() + filter_offset) * tensor_elem_at(src, coords, BorderMode::CONSTANT, 0.f);
+                        ++filter_offset;
+                    }
+                }
+                coords.set(0, x);
+                coords.set(1, y);
+                dst[out_pos++] = saturate_cast<T>(val);
+            }
+        }
+    }
+
+    return dst;
+}
+
+template SimpleTensor<float> depthwise_convolution(const SimpleTensor<float> &src, const SimpleTensor<float> &weights, const TensorShape &dst_shape, const PadStrideInfo &conv_info);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute