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diff --git a/tests/validation/reference/MeanStdDevNormalizationLayer.cpp b/tests/validation/reference/MeanStdDevNormalizationLayer.cpp
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+++ b/tests/validation/reference/MeanStdDevNormalizationLayer.cpp
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+/*
+ * Copyright (c) 2019 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 "MeanStdDevNormalizationLayer.h"
+
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> mean_std_normalization_layer(const SimpleTensor<T> &src, float epsilon)
+{
+    // Create reference
+    SimpleTensor<T> dst{ src.shape(), src.data_type(), 1 };
+
+    const int cols       = src.shape()[0];
+    const int batch_size = src.shape()[1];
+
+    for(int i = 0; i < batch_size; ++i)
+    {
+        T sum    = static_cast<T>(0.f);
+        T sum_sq = static_cast<T>(0.f);
+        for(int j = 0; j < cols; ++j)
+        {
+            const T value = src[j + i * cols];
+            sum += value;
+            sum_sq += value * value;
+        }
+        const T mean       = sum / static_cast<T>(cols);
+        const T var        = ((sum_sq / static_cast<T>(cols)) - (mean * mean)) + static_cast<T>(epsilon);
+        const T stddev_inv = static_cast<T>(1.f) / static_cast<T>(std::sqrt(var));
+        for(int j = 0; j < cols; ++j)
+        {
+            dst[j + i * cols] = (src[j + i * cols] - mean) * stddev_inv;
+        }
+    }
+    return dst;
+}
+
+template SimpleTensor<float> mean_std_normalization_layer(const SimpleTensor<float> &src, float epsilon);
+template SimpleTensor<half> mean_std_normalization_layer(const SimpleTensor<half> &src, float epsilon);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute