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/*
* Copyright (c) 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_NEGEMMLOWPOUTPUTSTAGE_H__
#define __ARM_COMPUTE_NEGEMMLOWPOUTPUTSTAGE_H__
#include "arm_compute/runtime/NEON/INESimpleFunction.h"
/** This file contains all available output stages for GEMMLowp on NEON.
*
* In gemmlowp, the "output stage" is the process that takes a final int32 accumulator value (the output of @ref NEGEMMLowpMatrixMultiplyCore),
* and processes it to obtain the final ASYMM8 value.
*
* More information about the GEMMLowp output stage can be found at https://github.com/google/gemmlowp/blob/master/doc/output.md
*/
namespace arm_compute
{
class ITensor;
/** Basic function to execute NEGEMMLowpQuantizeDownInt32ToUint8Scale on NEON.
*
* NEGEMMLowpQuantizeDownInt32ToUint8Scale depends on 3 parameters: result_offset, result_mult_int, result_shift
* The final result is:
*
* ((input[i][k] + result_offset) * result_mult_int + rounding) >> result_shift
*
* where rounding = (result_shift < 1) ? 0 : (1 << (result_shift - 1))
*
* This function calls the following NEON kernels:
*
* -# @ref NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel
*
*/
class NEGEMMLowpQuantizeDownInt32ToUint8Scale : public INESimpleFunction
{
public:
/** Initialise the kernel's inputs, output
*
* @param[in] input Input tensor. It is the output of @ref NEGEMMLowpMatrixMultiplyCore function. Data type supported: S32
* @param[out] output Output tensor. Data type supported: Data type supported: QASYMM8
* @param[in] result_offset Offset to be added to each element of the input matrix
* @param[in] result_mult_int Value to be multiplied to each element of the input matrix when once the result_offset has been add
* @param[in] result_shift Number of bits to shift right the result before converting back to QASYMM8
*/
void configure(const ITensor *input, ITensor *output, int result_offset, int result_mult_int, int result_shift);
};
}
#endif /*__ARM_COMPUTE_NEGEMMLOWPOUTPUTSTAGE_H__ */
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