text: /*
   * Copyright (c) 2017-2018 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_NEGEMMLOWPMATRIXMULTIPLYKERNEL_H__
  #define __ARM_COMPUTE_NEGEMMLOWPMATRIXMULTIPLYKERNEL_H__
  
  #include "arm_compute/core/NEON/INEKernel.h"
  
  namespace arm_compute
  {
  class ITensor;
  
  /** NEON kernel to multiply matrices
   *
   * @note @ref NEGEMMLowpMatrixMultiplyKernel low precision matrix product kernel
   *  This kernel performs the following computation:
   *
   *  -# Convert a values from int8 to int32
   *  -# Convert b values from int8 to int32
   *  -# Compute the int32 matrix product of the resulting a * b and store the result as int32
   *
   */
  class NEGEMMLowpMatrixMultiplyKernel : public INEKernel
  {
  public:
      const char *name() const override
      {
          return "NEGEMMLowpMatrixMultiplyKernel";
      }
      /** Constructor */
      NEGEMMLowpMatrixMultiplyKernel();
      /** Prevent instances of this class from being copied (As this class contains pointers)*/
      NEGEMMLowpMatrixMultiplyKernel(const NEGEMMLowpMatrixMultiplyKernel &) = delete;
      /** Prevent instances of this class from being copied (As this class contains pointers)*/
      NEGEMMLowpMatrixMultiplyKernel &operator=(const NEGEMMLowpMatrixMultiplyKernel &) = delete;
      /** Allow instances of this class to be moved */
      NEGEMMLowpMatrixMultiplyKernel(NEGEMMLowpMatrixMultiplyKernel &&) = default;
      /** Allow instances of this class to be moved */
      NEGEMMLowpMatrixMultiplyKernel &operator=(NEGEMMLowpMatrixMultiplyKernel &&) = default;
      /** Initialise the kernel's input and output.
       *
       * The input matrices @p input0 and @p input1 must be the output of the kernels: @ref NEGEMMInterleave4x4Kernel and @ref NEGEMMTranspose1xWKernel. These two
       * kernels change the layout of the original matrices to be more cache-friendly.
       *
       * @param[in]  input0 Input tensor containing the interleaved Matrix A. Data type supported: QASYMM8
       * @param[in]  input1 Input tensor containing the transposed1xW Matrix B. Data type supported: same as @p input0
       * @param[out] output Output tensor to store the result of matrix multiplication. Data type supported: S32
       */
      void configure(const ITensor *input0, const ITensor *input1, ITensor *output);
      /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMLowpMatrixMultiplyKernel
       *
       * @param[in] input0 Input tensor info containing the interleaved Matrix A. Data type supported: QASYMM8
       * @param[in] input1 Input tensor info containing the transposed Matrix B. Data type supported: same as @p input0
       * @param[in] output Output tensor info to store the result of matrix multiplication. Data type supported: S32
       *
       * @return a status
       */
      static Status validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output);
  
      // Inherited methods overridden:
      void run(const Window &window, const ThreadInfo &info) override;
  
  private:
      const ITensor *_input0;
      const ITensor *_input1;
      ITensor       *_output;
      bool           _slide_matrix_b;
  };
  } // namespace arm_compute
  #endif /*__ARM_COMPUTE_NEGEMMLOWPMATRIXMULTIPLYKERNEL_H__*/
  