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diff --git a/tests/validation/reference/QuantizationLayer.cpp b/tests/validation/reference/QuantizationLayer.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 "QuantizationLayer.h"
+
+#include <cmath>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type>
+SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<T> &src)
+{
+    // Create reference
+    SimpleTensor<uint8_t> dst{ src.shape(), DataType::U8 };
+
+    const int width       = src.shape().x();
+    const int height      = src.shape().y();
+    const int depth       = src.shape().z();
+    const int stride_w    = width * height * depth;
+    const int num_batches = src.shape().total_size_upper(3);
+
+    for(int k = 0; k < num_batches; ++k)
+    {
+        // Compute min and max of the 3D tensor
+        float min = src[k * stride_w];
+        float max = src[k * stride_w];
+
+        // Look for min and max values
+        for(int i = 1; i < stride_w; ++i)
+        {
+            float val = src[i + k * stride_w];
+            min       = std::min(min, val);
+            max       = std::max(max, val);
+        }
+
+        // Saturate the result in case min = max
+        if(min == max)
+        {
+            min = 0.0f;
+            max = 1.0f;
+        }
+
+        const float range = max - min;
+
+        for(int i = 0; i < stride_w; ++i)
+        {
+            // map values to range [0.0, 1.0]
+            float       val        = src[i + k * stride_w];
+            const float normalized = (val - min) / range;
+            dst[i + k * stride_w]  = static_cast<uint8_t>(std::min(255.0f, normalized * 256.0f));
+        }
+    }
+
+    return dst;
+}
+
+template SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<float> &src);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute