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Manuel Bottinicfac51c2021-06-18 15:47:28 +01001/*
Giorgio Arena5ae8d802021-11-18 18:02:13 +00002 * Copyright (c) 2017-2022 Arm Limited.
Manuel Bottinicfac51c2021-06-18 15:47:28 +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 */
24#ifndef ARM_COMPUTE_CPU_GEMMLOWP_OFFSETCONTRIBUTION_KERNEL_H
25#define ARM_COMPUTE_CPU_GEMMLOWP_OFFSETCONTRIBUTION_KERNEL_H
26
27#include "src/core/common/Macros.h"
Georgios Pinitas7891a732021-08-20 21:39:25 +010028#include "src/cpu/ICpuKernel.h"
Manuel Bottinicfac51c2021-06-18 15:47:28 +010029
30namespace arm_compute
31{
32namespace cpu
33{
34namespace kernels
35{
36/** Kernel used to add the offset contribution after @ref CpuGemmLowpMatrixMultiplyKernel. The computation is performed in-place
37 *
38 * This kernel takes a final int32 accumulator value (the output of @ref CpuGemmLowpMatrixMultiplyKernel),
39 * and adds to it the offset contribution of matrix A and matrix B in-place.
40 *
41 * The final result is:
42 *
43 * mm_result[i][k] = mm_result[i][k] +
44 * (vector_sum_col[k] * a_offset) +
45 * (vector_sum_row[i] * b_offset) +
46 * (a_offset * b_offset * k)
47 *
48 */
Yair Schwarzbaum46d44d22022-01-12 16:38:58 +020049class CpuGemmLowpOffsetContributionKernel : public ICpuKernel<CpuGemmLowpOffsetContributionKernel>
Manuel Bottinicfac51c2021-06-18 15:47:28 +010050{
51public:
52 /** Default constructor */
53 CpuGemmLowpOffsetContributionKernel() = default;
54 ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmLowpOffsetContributionKernel);
55 /** Initialise the kernel's input and output.
56 *
57 * @param[in, out] mm_result Input tensor containing the result of @ref CpuGemmLowpMatrixMultiplyKernel. Data type supported: S32
58 * @param[in] vector_sum_col Input row-vector of sums of all the entries in each column of matrix B.
59 * Note: vector_sum_col can be a nullptr in case a_offset = 0. Data type supported: same as @p mm_result
60 * @param[in] vector_sum_row Input row-vector of sums of all the entries in each row of matrix A.
61 * Note: vector_sum_row can be a nullptr in case b_offset = 0. Data type supported: same as @p mm_result
62 * @param[in] k Number of matrix A columns or Matrix B rows
63 * @param[in] a_offset Offset to be added to each element of the matrix A.
64 * @param[in] b_offset Offset to be added to each element of the matrix B.
65 */
66 void configure(ITensorInfo *mm_result, ITensorInfo *vector_sum_col, ITensorInfo *vector_sum_row, int32_t k, int32_t a_offset, int32_t b_offset);
67 /** Static function to check if given info will lead to a valid configuration
68 *
69 * Similar to CpuGemmLowpOffsetContributionKernel::configure()
70 *
71 * @return a status
72 */
73 static Status validate(const ITensorInfo *mm_result, const ITensorInfo *vector_sum_col, const ITensorInfo *vector_sum_row, int32_t a_offset, int32_t b_offset);
74
75 // Inherited methods overridden:
76 void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
77 const char *name() const override;
78
79private:
80 int32_t _a_offset{ 0 };
81 int32_t _b_offset{ 0 };
82 int32_t _k_offset{ 0 };
83 bool _slide_vector_sum_col{ true };
84};
85} // namespace kernels
86} // namespace cpu
87} // namespace arm_compute
88#endif /* ARM_COMPUTE_CPU_GEMMLOWP_OFFSETCONTRIBUTION_KERNEL_H */