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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_NEGEMMLOWPFINALIZEKERNEL_H__
#define __ARM_COMPUTE_NEGEMMLOWPFINALIZEKERNEL_H__
#include "arm_compute/core/NEON/INEKernel.h"
namespace arm_compute
{
class ITensor;
/* NEON kernel used to finalize the GEMMLowp result
*
* This kernel performs the following computations:
*
* -# Add offset terms to final result
* -# Multiply each entry of result and round to nearest integer
* -# Clamp the resulting int32 values to the [0..255] range and cast to uint8.
*/
class NEGEMMLowpFinalizeKernel : public INEKernel
{
public:
/** Constructor */
NEGEMMLowpFinalizeKernel();
/** Prevent instances of this class from being copied (As this class contains pointers)*/
NEGEMMLowpFinalizeKernel(const NEGEMMLowpFinalizeKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers)*/
NEGEMMLowpFinalizeKernel &operator=(const NEGEMMLowpFinalizeKernel &) = delete;
/** Allow instances of this class to be moved */
NEGEMMLowpFinalizeKernel(NEGEMMLowpFinalizeKernel &&) = default;
/** Allow instances of this class to be moved */
NEGEMMLowpFinalizeKernel &operator=(NEGEMMLowpFinalizeKernel &&) = default;
/** Initialise the kernel's input and output.
*
* @note The input row-vectors @p vector_sum_col and @p vector_sum_row must be the output of @ref NEGEMMLowpMatrixBReductionKernel and @ref NEGEMMLowpMatrixAReductionKernel kernels.
* These 2 vectors are needed to handle the offset of matrix product
* https://github.com/google/gemmlowp/blob/master/doc/low-precision.md
*
* @param[in] vector_sum_col Input row-vector of sums of all the entries in each column of input1.
* Note: vector_sum_col can be a nullptr in case a_offset = 0. Data type supported: S32
* @param[in] vector_sum_row Input row-vector of sums of all the entries in each row of input0.
* Note: vector_sum_row can be a nullptr in case b_offset = 0. Data type supported: same as @p vector_sum_col
* @param[in] mm_result Input tensor containing the result of @ref NEGEMMLowpMatrixMultiplyKernel. Data type supported: same as @p vector_sum_col
* @param[out] output Output tensor containing the result of GEMMLowP. Data type supported: S8
* @param[in] num_mtx_a_cols Number of matrix A columns
* @param[in] a_offset Offset to be added to each element of the matrix A.
* @param[in] b_offset Offset to be added to each element of the matrix B.
* @param[in] c_offset Offset to be added to each element of the output matrix
* @param[in] c_mult_int Value to be multiplied to each entry of the result.
* @param[in] shift Number of bits to shift right the result.
*/
void configure(const ITensor *vector_sum_col, const ITensor *vector_sum_row, const ITensor *mm_result, ITensor *output, int32_t num_mtx_a_cols, int32_t a_offset, int32_t b_offset, int32_t c_offset,
int32_t c_mult_int, int32_t shift);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
private:
/** Template function to run the finalize kernel
*
* @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()).
*/
template <bool add_a_offset, bool add_b_offset>
void finalize(const Window &window);
using FinalizeFunctionPtr = void (NEGEMMLowpFinalizeKernel::*)(const Window &window);
FinalizeFunctionPtr _func;
const ITensor *_vector_sum_col;
const ITensor *_vector_sum_row;
const ITensor *_mm_result;
ITensor *_output;
int32_t _a_offset;
int32_t _b_offset;
int32_t _c_offset;
int32_t _k_offset;
int32_t _c_mult_int;
int32_t _shift;
bool _slide_vector_sum_col;
};
} // namespace arm_compute
#endif /* __ARM_COMPUTE_NEGEMMLOWPFINALIZEKERNEL_H__ */
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