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diff --git a/arm_compute/core/NEON/kernels/NEL2NormalizeLayerKernel.h b/arm_compute/core/NEON/kernels/NEL2NormalizeLayerKernel.h
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-/*
- * Copyright (c) 2017-2019 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.
- */
-#ifndef ARM_COMPUTE_NEL2NORMALIZELAYERKERNEL_H
-#define ARM_COMPUTE_NEL2NORMALIZELAYERKERNEL_H
-
-#include "arm_compute/core/NEON/INEKernel.h"
-
-namespace arm_compute
-{
-class ITensor;
-
-/** Interface for performing a L2 normalize on a given axis given the square sum of it in this axis */
-class NEL2NormalizeLayerKernel : public INEKernel
-{
-public:
- const char *name() const override
- {
- return "NEL2NormalizeLayerKernel";
- }
- /** Default constructor */
- NEL2NormalizeLayerKernel();
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- NEL2NormalizeLayerKernel(const NEL2NormalizeLayerKernel &) = delete;
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- NEL2NormalizeLayerKernel &operator=(const NEL2NormalizeLayerKernel &) = delete;
- /** Allow instances of this class to be moved */
- NEL2NormalizeLayerKernel(NEL2NormalizeLayerKernel &&) = default;
- /** Allow instances of this class to be moved */
- NEL2NormalizeLayerKernel &operator=(NEL2NormalizeLayerKernel &&) = default;
- /** Default destructor */
- ~NEL2NormalizeLayerKernel() = default;
- /** Set the input and output tensors.
- *
- * @param[in] input Source tensor. Data types supported: F16/F32.
- * @param[in] sum Sum values tensor. Data types supported: same as @p input.
- * Sum will have the same number of dimensions as input.
- * @param[out] output Destination tensor. Data types and data layouts supported: same as @p input.
- * Output will have the same number of dimensions as input.
- * @param[in] axis Axis along which to reduce. Negative values wrap around. Maximum supported actual reduction axis : 2
- * @param[in] epsilon Lower bound value for the normalization.
- */
- void configure(const ITensor *input, const ITensor *sum, ITensor *output, int axis, float epsilon);
-
- /** Static function to check if given info will lead to a valid configuration of @ref NEL2NormalizeLayerKernel.
- *
- * @param[in] input Source tensor info. Data types supported: F16/F32.
- * @param[in] sum Sum values tensor info. Data types supported: same as @p input.
- * Sum will have the same number of dimensions as input.
- * @param[in] output Destination tensor info. Data types and data layouts supported: same as @p input.
- * Output will have the same number of dimensions as input.
- * @param[in] axis Axis along which to reduce. Negative values wrap around. Maximum supported actual reduction axis : 2
- * @param[in] epsilon Lower bound value for the normalization.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *sum, const ITensorInfo *output, int axis, float epsilon);
-
- // Inherited methods overridden:
- void run(const Window &window, const ThreadInfo &info) override;
-
-private:
- const ITensor *_input;
- const ITensor *_sum;
- ITensor *_output;
- unsigned int _actual_axis;
- float _epsilon;
-};
-} // namespace arm_compute
-#endif /*ARM_COMPUTE_NEL2NORMALIZELAYERKERNEL_H */