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diff --git a/tests/validation/reference/InstanceNormalizationLayer.cpp b/tests/validation/reference/InstanceNormalizationLayer.cpp
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+++ b/tests/validation/reference/InstanceNormalizationLayer.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 "InstanceNormalizationLayer.h"
+
+#include "tests/validation/Helpers.h"
+
+#include <algorithm>
+#include <cmath>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> instance_normalization(const SimpleTensor<T> &src, float gamma, float beta, float epsilon)
+{
+    SimpleTensor<T> dst{ src.shape(), src.data_type() };
+
+    //NCHW
+    const size_t w_size = src.shape()[0];
+    const size_t h_size = src.shape()[1];
+    const size_t c_size = src.shape()[2];
+    const size_t n_size = src.shape()[3];
+
+    for(size_t n_i = 0; n_i < n_size; ++n_i)
+    {
+        for(size_t c_i = 0; c_i < c_size; ++c_i)
+        {
+            float sum_h_w = 0;
+            //Compute mean
+            for(size_t h_i = 0; h_i < h_size; ++h_i)
+            {
+                for(size_t w_i = 0; w_i < w_size; ++w_i)
+                {
+                    sum_h_w += src[coord2index(src.shape(), Coordinates(w_i, h_i, c_i, n_i))];
+                }
+            }
+            const float mean_h_w = sum_h_w / (h_size * w_size);
+
+            //Compute variance
+            float partial_var_h_w = 0;
+            for(size_t h_i = 0; h_i < h_size; ++h_i)
+            {
+                for(size_t w_i = 0; w_i < w_size; ++w_i)
+                {
+                    partial_var_h_w += std::pow(src[coord2index(src.shape(), Coordinates(w_i, h_i, c_i, n_i))] - mean_h_w, 2);
+                }
+            }
+            const float var_h_w = partial_var_h_w / (h_size * w_size);
+
+            //Apply mean
+            for(size_t h_i = 0; h_i < h_size; ++h_i)
+            {
+                for(size_t w_i = 0; w_i < w_size; ++w_i)
+                {
+                    //Compute output
+                    size_t index = coord2index(src.shape(), Coordinates(w_i, h_i, c_i, n_i));
+                    dst[index]   = (src[index] - mean_h_w) * gamma / std::sqrt(var_h_w + epsilon) + beta;
+                }
+            }
+        }
+    }
+    return dst;
+}
+
+template SimpleTensor<float> instance_normalization(const SimpleTensor<float> &src, float gamma, float beta, float epsilon);
+template SimpleTensor<half> instance_normalization(const SimpleTensor<half> &src, float gamma, float beta, float epsilon);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute