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Gian Marcoe75a02b2017-11-08 12:24:09 +00001/*
2 * Copyright (c) 2017 ARM Limited.
3 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24#ifndef __ARM_COMPUTE_NEGEMMLOWPOUTPUTSTAGE_H__
25#define __ARM_COMPUTE_NEGEMMLOWPOUTPUTSTAGE_H__
26
27#include "arm_compute/runtime/NEON/INESimpleFunction.h"
28
29/** This file contains all available output stages for GEMMLowp on NEON.
30 *
31 * In gemmlowp, the "output stage" is the process that takes a final int32 accumulator value (the output of @ref NEGEMMLowpMatrixMultiplyCore),
32 * and processes it to obtain the final ASYMM8 value.
33 *
34 * More information about the GEMMLowp output stage can be found at https://github.com/google/gemmlowp/blob/master/doc/output.md
35 */
36
37namespace arm_compute
38{
39class ITensor;
40
41/** Basic function to execute NEGEMMLowpQuantizeDownInt32ToUint8Scale on NEON.
42 *
43 * NEGEMMLowpQuantizeDownInt32ToUint8Scale depends on 3 parameters: result_offset, result_mult_int, result_shift
44 * The final result is:
45 *
46 * ((input[i][k] + result_offset) * result_mult_int + rounding) >> result_shift
47 *
48 * where rounding = (result_shift < 1) ? 0 : (1 << (result_shift - 1))
49 *
50 * This function calls the following NEON kernels:
51 *
52 * -# @ref NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel
53 *
54*/
55class NEGEMMLowpQuantizeDownInt32ToUint8Scale : public INESimpleFunction
56{
57public:
58 /** Initialise the kernel's inputs, output
59 *
60 * @param[in] input Input tensor. It is the output of @ref NEGEMMLowpMatrixMultiplyCore function. Data type supported: S32
61 * @param[out] output Output tensor. Data type supported: Data type supported: QASYMM8
62 * @param[in] result_offset Offset to be added to each element of the input matrix
63 * @param[in] result_mult_int Value to be multiplied to each element of the input matrix when once the result_offset has been add
64 * @param[in] result_shift Number of bits to shift right the result before converting back to QASYMM8
65 */
66 void configure(const ITensor *input, ITensor *output, int result_offset, int result_mult_int, int result_shift);
67};
68}
69#endif /*__ARM_COMPUTE_NEGEMMLOWPOUTPUTSTAGE_H__ */