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diff --git a/tests/validation/CPP/L2Normalize.cpp b/tests/validation/CPP/L2Normalize.cpp
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+++ b/tests/validation/CPP/L2Normalize.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 "L2Normalize.h"
+#include "ReductionOperation.h"
+
+#include "tests/validation/Helpers.h"
+
+#include <algorithm>
+#include <cmath>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+namespace
+{
+TensorShape get_output_shape(TensorShape shape, unsigned int axis)
+{
+    TensorShape output_shape(shape);
+    output_shape.set(axis, 1);
+    return output_shape;
+}
+} // namespace
+
+template <typename T>
+SimpleTensor<T> l2_normalize(const SimpleTensor<T> &src, unsigned int axis, float epsilon)
+{
+    // Create reference
+    SimpleTensor<T> dst{ src.shape(), src.data_type() };
+
+    // Reduce across given axis
+    SimpleTensor<T> sum = reduction_operation(src, get_output_shape(src.shape(), axis), axis, ReductionOperation::SUM_SQUARE);
+
+    // Compute reference
+    const int elems      = src.shape()[axis];
+    const int upper_dims = src.shape().total_size_upper(axis + 1);
+
+    for(int du = 0; du < upper_dims; ++du)
+    {
+        if(axis == 0)
+        {
+            const T *src_row_ptr         = src.data() + du * elems;
+            T       *dst_row_ptr         = dst.data() + du * elems;
+            const T  normalization_value = std::sqrt(std::max(sum[du], epsilon));
+            std::transform(src_row_ptr, src_row_ptr + elems, dst_row_ptr, [normalization_value](T val)
+            {
+                return val / normalization_value;
+            });
+        }
+        else
+        {
+            ARM_COMPUTE_ERROR("Unsupported normalization axis");
+        }
+    }
+
+    return dst;
+}
+
+template SimpleTensor<float> l2_normalize(const SimpleTensor<float> &src, unsigned int axis, float epsilon);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute