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diff --git a/libs/ARMComputeEx/arm_compute/runtime/NEON/functions/NENormalizationLayerEx.h b/libs/ARMComputeEx/arm_compute/runtime/NEON/functions/NENormalizationLayerEx.h
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+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright (c) 2016-2018 ARM Limited.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#ifndef __ARM_COMPUTE_NENORMALIZATIONLAYEREX_H__
+#define __ARM_COMPUTE_NENORMALIZATIONLAYEREX_H__
+
+#include "arm_compute/runtime/IFunction.h"
+
+#include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h"
+#include "arm_compute/core/NEON/kernels/NENormalizationLayerExKernel.h"
+#include "arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h"
+#include "arm_compute/runtime/MemoryGroup.h"
+
+namespace arm_compute
+{
+class ITensor;
+
+/** Basic function to compute a normalization layer. This function calls the following NEON kernels:
+ *
+ * -# @ref NEPixelWiseMultiplicationKernel
+ * -# @ref NEFillBorderKernel
+ * -# @ref NENormalizationLayerKernelEx
+ *
+ */
+class NENormalizationLayerEx : public IFunction
+{
+public:
+  /** Default constructor */
+  NENormalizationLayerEx(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
+  /** Set the input and output tensors.
+   *
+   * @param[in]  input     Source tensor. 3 lower dims represent a single input with dimensions
+   * [width, height, IFM],
+   *                       and an optional 4th dimension for batch of inputs. Data type supported:
+   * F16/F32
+   * @param[out] output    Destination with the same dimensions, data type and number of channels of
+   * @p input
+   * @param[in]  norm_info Normalization layer information like the normalization type,
+   * normalization size and other parameters.
+   */
+  void configure(const ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info);
+  /** Static function to check if given info will lead to a valid configuration of @ref
+   * NENormalizationLayer
+   *
+   * @param[in] input     Source tensor. 3 lower dims represent a single input with dimensions
+   * [width, height, IFM],
+   *                      and an optional 4th dimension for batch of inputs. Data type supported:
+   * F16/F32
+   * @param[in] output    Destination with the same dimensions, data type and number of channels of
+   * @p input
+   * @param[in] norm_info Normalization layer information like the normalization type, normalization
+   * size and other parameters.
+   *
+   * @return a status
+   */
+  static Status validate(const ITensorInfo *input, const ITensorInfo *output,
+                         const NormalizationLayerInfo &norm_info);
+
+  // Inherited methods overridden:
+  void run() override;
+
+private:
+  MemoryGroup _memory_group;                        /**< Function memory group */
+  NENormalizationLayerExKernel _norm_kernel;        /**< Normalization layer kernel */
+  NEPixelWiseMultiplicationKernel _multiply_kernel; /**< Pixel multiplication kernel */
+  NEFillBorderKernel _border_handler;               /**< Kernel to handle  borders */
+  Tensor _input_squared; /**< The intermediate buffer which stores results of squaring input */
+};
+}
+#endif /* __ARM_COMPUTE_NENORMALIZATIONLAYEREX_H__ */