text: /*
   * Copyright (c) 2016, 2017 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 "arm_compute/core/NEON/INESimpleKernel.h"
  
  namespace arm_compute
  {
  class ITensor;
  
  /** NEON 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:
      /** 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;
      /** 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: F32, F16.
       * @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, const float beta);
  
      // Inherited methods overridden:
      void run(const Window &window) override;
  
  private:
      float _beta;
  };
  }
  #endif /* __ARM_COMPUTE_NEGEMMMATRIXADDITIONKERNEL_H__ */
  