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Pablo Tello299025a2017-09-29 11:30:12 +01001/*
Michele Di Giorgiod9eaf612020-07-08 11:12:57 +01002 * Copyright (c) 2017-2020 Arm Limited.
Pablo Tello299025a2017-09-29 11:30:12 +01003 *
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 */
Michalis Spyrouf4643372019-11-29 16:17:13 +000024#ifndef ARM_COMPUTE_TEST_GEMMLOWP_H
25#define ARM_COMPUTE_TEST_GEMMLOWP_H
Pablo Tello299025a2017-09-29 11:30:12 +010026
27#include "tests/SimpleTensor.h"
28#include "tests/validation/Helpers.h"
29
30namespace arm_compute
31{
32namespace test
33{
34namespace validation
35{
36namespace reference
37{
Vidhya Sudhan Loganathan951b8a42019-11-04 14:42:08 +000038template <typename T1, typename T2, typename T3>
39SimpleTensor<T1> gemmlowp_matrix_multiply_core(const SimpleTensor<T2> &a, const SimpleTensor<T3> &b, TensorShape shape_c, int32_t a_offset, int32_t b_offset);
40
41template <typename T1, typename T2, typename T3 = T2>
42SimpleTensor<T1> gemmlowp(const SimpleTensor<T2> &a, const SimpleTensor<T3> &b, TensorShape shape_c);
Michalis Spyrouf3dfa272017-11-21 17:52:12 +000043
Manuel Bottini959c26d2019-12-02 16:22:35 +000044template <typename TIn, typename TOut>
45SimpleTensor<uint8_t> gemmlowp_quantize_down_scale(const SimpleTensor<TIn> &in, int32_t result_offset, std::vector<int32_t> result_mult_int, std::vector<int32_t> result_shift);
Pablo Tello181e6512017-11-15 13:28:27 +000046
Manuel Bottini959c26d2019-12-02 16:22:35 +000047template <typename TIn, typename TOut>
48SimpleTensor<TOut> gemmlowp_quantize_down_scale(const SimpleTensor<TIn> &in, int32_t result_offset, std::vector<int32_t> result_mult_int, std::vector<int32_t> result_shift,
49 int32_t min = 0, int32_t max = 0);
Gian Marco58c57942017-11-28 09:10:03 +000050
Manuel Bottini959c26d2019-12-02 16:22:35 +000051template <typename TIn, typename TOut>
52SimpleTensor<TOut> gemmlowp_quantize_down_scale(const SimpleTensor<TIn> &in, const SimpleTensor<TIn> &bias, int32_t result_offset, std::vector<int32_t> result_mult_int,
53 std::vector<int32_t> result_shift, int32_t min = 0, int32_t max = 0);
Gian Marco58c57942017-11-28 09:10:03 +000054
Georgios Pinitas448a81f2019-11-21 14:10:25 +000055template <typename TIn, typename TOut>
56SimpleTensor<TOut> gemmlowp_quantize_down_scale_by_fixedpoint(const SimpleTensor<TIn> &in, std::vector<int32_t> result_fixedpoint_multiplier, std::vector<int32_t> result_shift,
57 int32_t result_offset_after_shift, int32_t min = 0, int32_t max = 0);
Gian Marco Iodicebc415af2019-06-13 15:58:32 +010058
Georgios Pinitas448a81f2019-11-21 14:10:25 +000059template <typename TIn, typename TOut>
60SimpleTensor<TOut> gemmlowp_quantize_down_scale_by_fixedpoint(const SimpleTensor<TIn> &in, const SimpleTensor<TIn> &bias, std::vector<int32_t> result_fixedpoint_multiplier,
61 std::vector<int32_t> result_shift, int32_t result_offset_after_shift, int32_t min = 0, int32_t max = 0);
Sheri Zhang1b14c752020-03-09 14:29:52 +000062
63template <typename TIn, typename TOut>
64SimpleTensor<TOut> gemmlowp_quantize_down_scale_by_float(const SimpleTensor<TIn> &in, const SimpleTensor<TIn> &bias,
65 std::vector<float_t> result_real_multiplier, int32_t result_offset, int32_t min = 0, int32_t max = 0);
66
67template <typename TIn, typename TOut>
68SimpleTensor<TOut> gemmlowp_quantize_down_scale_by_float(const SimpleTensor<TIn> &in,
69 std::vector<float_t> result_real_multiplier, int32_t result_offset, int32_t min = 0, int32_t max = 0);
Pablo Tello299025a2017-09-29 11:30:12 +010070} // namespace reference
71} // namespace validation
72} // namespace test
73} // namespace arm_compute
Michalis Spyrouf4643372019-11-29 16:17:13 +000074#endif /* ARM_COMPUTE_TEST_GEMMLOWP_H */