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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_NEGEMMLOWPOFFSETCONTRIBUTIONKERNEL_H__
25#define __ARM_COMPUTE_NEGEMMLOWPOFFSETCONTRIBUTIONKERNEL_H__
26
27#include "arm_compute/core/NEON/INEKernel.h"
28
29namespace arm_compute
30{
31class ITensor;
32
33/* NEON kernel used to add the offset contribution after @ref NEGEMMLowpMatrixMultiplyKernel. The computation is performed in-place
34 *
35 * This kernel takes a final int32 accumulator value (the output of @NEGEMMLowpMatrixMultiplyKernel),
36 * and adds to it the offset contribution of matrix A and matrix B in-place.
37 *
38 */
39class NEGEMMLowpOffsetContributionKernel : public INEKernel
40{
41public:
42 /** Constructor */
43 NEGEMMLowpOffsetContributionKernel();
44 /** Prevent instances of this class from being copied (As this class contains pointers)*/
45 NEGEMMLowpOffsetContributionKernel(const NEGEMMLowpOffsetContributionKernel &) = delete;
46 /** Prevent instances of this class from being copied (As this class contains pointers)*/
47 NEGEMMLowpOffsetContributionKernel &operator=(const NEGEMMLowpOffsetContributionKernel &) = delete;
48 /** Allow instances of this class to be moved */
49 NEGEMMLowpOffsetContributionKernel(NEGEMMLowpOffsetContributionKernel &&) = default;
50 /** Allow instances of this class to be moved */
51 NEGEMMLowpOffsetContributionKernel &operator=(NEGEMMLowpOffsetContributionKernel &&) = default;
52 /** Initialise the kernel's input and output.
53 *
54 * @param[in, out] mm_result Input tensor containing the result of @ref NEGEMMLowpMatrixMultiplyKernel. Data type supported: S32
55 * @param[in] vector_sum_col Input row-vector of sums of all the entries in each column of matrix B.
56 * Note: vector_sum_col can be a nullptr in case a_offset = 0. Data type supported: same as @p mm_result
57 * @param[in] vector_sum_row Input row-vector of sums of all the entries in each row of matrix A.
58 * Note: vector_sum_row can be a nullptr in case b_offset = 0. Data type supported: same as @p mm_result
59 * @param[in] k Number of matrix A columns or Matrix B rows
60 * @param[in] a_offset Offset to be added to each element of the matrix A.
61 * @param[in] b_offset Offset to be added to each element of the matrix B.
62 */
63 void configure(ITensor *mm_result, const ITensor *vector_sum_col, const ITensor *vector_sum_row, int32_t k, int32_t a_offset, int32_t b_offset);
64
65 // Inherited methods overridden:
66 void run(const Window &window, const ThreadInfo &info) override;
67
68private:
69 const ITensor *_vector_sum_col;
70 const ITensor *_vector_sum_row;
71 ITensor *_mm_result;
72 int32_t _a_offset;
73 int32_t _b_offset;
74 int32_t _k_offset;
75 bool _slide_vector_sum_col;
76};
77} // namespace arm_compute
78
79#endif /* __ARM_COMPUTE_NEGEMMLOWPOFFSETCONTRIBUTIONKERNEL_H__ */