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diff --git a/src/core/NEON/kernels/NEGEMMMatrixAdditionKernel.h b/src/core/NEON/kernels/NEGEMMMatrixAdditionKernel.h
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-/*
- * Copyright (c) 2016-2021 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_NEGEMMMATRIXADDITIONKERNEL_H
-#define ARM_COMPUTE_NEGEMMMATRIXADDITIONKERNEL_H
-
-#include "src/core/NEON/INESimpleKernel.h"
-
-namespace arm_compute
-{
-class ITensor;
-
-/** Kernel to perform the in-place matrix addition between 2 matrices taking into account that the second matrix might be weighted by a scalar value beta:
- *
- * @note [ MTX_OUT = MTX_0 + beta * MTX_1 ] with MTX_0 and MTX_1 of the same size
- *
- * @note This stage is used to finalize the GEMM result and it is computed if and only if beta != 0.0. In case this kernel is used for finalizing GEMM result, we have:
- * - MTX_0 = A * B * alpha, where MTX_0 is the output of @ref NEGEMMMatrixMultiplyKernel
- * - MTX_1 = C
- */
-class NEGEMMMatrixAdditionKernel : public INESimpleKernel
-{
-public:
- const char *name() const override
- {
- return "NEGEMMMatrixAdditionKernel";
- }
- /** Constructor */
- NEGEMMMatrixAdditionKernel();
- /** Prevent instances of this class from being copied */
- NEGEMMMatrixAdditionKernel(const NEGEMMMatrixAdditionKernel &) = delete;
- /** Prevent instances of this class from being copied */
- NEGEMMMatrixAdditionKernel &operator=(const NEGEMMMatrixAdditionKernel &) = delete;
- /** Allow instances of this class to be moved */
- NEGEMMMatrixAdditionKernel(NEGEMMMatrixAdditionKernel &&) = default;
- /** Allow instances of this class to be moved */
- NEGEMMMatrixAdditionKernel &operator=(NEGEMMMatrixAdditionKernel &&) = default;
- /** Default destructor */
- ~NEGEMMMatrixAdditionKernel() = default;
- /** Initialise the kernel's input and output.
- *
- * @note The input and output tensor must have the same dimensions
- *
- * @param[in] input Input tensor (Matrix C). Data types supported: F16/F32
- * @param[in, out] output Output tensor. If this kernel is used to finalize the GEMM result, output contains the result obtained by the kernel @ref NEGEMMMatrixMultiplyKernel. Data type supported: the same as @p input.
- * @param[in] beta Weight of matrix C
- */
- void configure(const ITensor *input, ITensor *output, float beta);
- /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMMatrixAdditionKernel.
- *
- * @note The input and output tensor must have the same dimensions
- *
- * @param[in] input Input tensor info (Matrix C). Data types supported: F16/F32
- * @param[in] output Output tensor info. If this kernel is used to finalize the GEMM result, output contains the result obtained by the kernel @ref NEGEMMMatrixMultiplyKernel. Data type supported: the same as @p input.
- * @param[in] beta Weight of matrix C
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *output, float beta);
-
- // Inherited methods overridden:
- void run(const Window &window, const ThreadInfo &info) override;
-
-private:
- /** Common signature for all the matrix addition functions
- *
- * @param[in] input An input tensor. Data types supported: F16/F32
- * @param[out] output The output tensor. Data type supported: same as @p input
- * @param[in] window Region on which to execute the kernel.
- * @param[in] beta Weight of matrix C
- */
- using MatrixAdditionFunction = void(const ITensor *input, ITensor *output, const Window &window, float beta);
- /** Matrix addition function to use for the particular tensor types passed to configure() */
- MatrixAdditionFunction *_func;
- float _beta;
-};
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_NEGEMMMATRIXADDITIONKERNEL_H */