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diff --git a/libs/ARMComputeEx/arm_compute/core/NEON/kernels/NENormalizationLayerExKernel.h b/libs/ARMComputeEx/arm_compute/core/NEON/kernels/NENormalizationLayerExKernel.h
deleted file mode 100644
index f7bf72985..000000000
--- a/libs/ARMComputeEx/arm_compute/core/NEON/kernels/NENormalizationLayerExKernel.h
+++ /dev/null
@@ -1,113 +0,0 @@
-/*
- * 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_NENORMALIZATIONLAYEREXKERNEL_H__
-#define __ARM_COMPUTE_NENORMALIZATIONLAYEREXKERNEL_H__
-
-#include "arm_compute/core/NEON/INEKernel.h"
-
-namespace arm_compute
-{
-class ITensor;
-
-/** Interface for the normalization layer kernel.
- */
-class NENormalizationLayerExKernel : public INEKernel
-{
-public:
-  const char *name() const override { return "NENormalizationLayerKernel"; }
-  /** Default constructor */
-  NENormalizationLayerExKernel();
-  /** Prevent instances of this class from being copied (As this class contains pointers) */
-  NENormalizationLayerExKernel(const NENormalizationLayerExKernel &) = delete;
-  /** Prevent instances of this class from being copied (As this class contains pointers) */
-  NENormalizationLayerExKernel &operator=(const NENormalizationLayerExKernel &) = delete;
-  /** Default Move Constructor. */
-  NENormalizationLayerExKernel(NENormalizationLayerExKernel &&) = default;
-  /** Default move assignment operator */
-  NENormalizationLayerExKernel &operator=(NENormalizationLayerExKernel &&) = default;
-  /** Default destructor */
-  ~NENormalizationLayerExKernel() = default;
-  /** 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 types
-   * supported: FP16/F32.
-   * @param[in]  input_squared Source with each element has been squared. 3 lower dims represent a
-   * single input with dimensions [width, height, IFM],
-   *                           Data type supported: same as @p input
-   * @param[out] output        Destination tensor. Output will have the same number of dimensions as
-   * input. Data type supported: same as @p input
-   * @param[in]  norm_info     Normalization layer information like the normalization type,
-   * normalization size and other parameters.
-   */
-  void configure(const ITensor *input, const ITensor *input_squared, ITensor *output,
-                 NormalizationLayerInfo norm_info);
-  /** Static function to check if given info will lead to a valid configuration of @ref
-   * NENormalizationLayerKernel
-   *
-   * @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 types
-   * supported: FP16/F32.
-   * @param[in] input_squared Source with each element has been squared. 3 lower dims represent a
-   * single input with dimensions [width, height, IFM],
-   *                          Data type supported: same as @p input
-   * @param[in] output        Destination tensor. Output will have the same number of dimensions as
-   * input. Data type supported: same as @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 *input_squared,
-                         const ITensorInfo *output, NormalizationLayerInfo norm_info);
-
-  // Inherited methods overridden:
-  void run(const Window &window, const ThreadInfo &info) override;
-  BorderSize border_size() const override;
-
-private:
-  /** Function to perform normalization depending on the given template
-   *  dimension. The second template parameter specifies whether the
-   *  normalization has to be 1D or 2D.
-   *
-   * @note Only supported normalizations are:
-   *  - 1D over X or Z
-   *  - 2D over X and Y
-   *
-   * @param[in] window Region on which to execute the kernel.
-   */
-  template <DataType dt, unsigned int dim, bool do_2D_norm>
-  void normalize_float(const Window &window);
-
-  /** Common signature for all the specialised normalization functions
-   *
-   * @param[in] window Region on which to execute the kernel.
-   */
-  using NormalizationFunctionEx = void (NENormalizationLayerExKernel::*)(const Window &window);
-
-private:
-  NormalizationFunctionEx _func;
-  const ITensor *_input;
-  const ITensor *_input_squared;
-  ITensor *_output;
-  NormalizationLayerInfo _norm_info;
-  BorderSize _border_size;
-};
-} // namespace arm_compute
-#endif /*__ARM_COMPUTE_NENORMALIZATIONLAYEREXKERNEL_H__ */