1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
|
/*
* Copyright (c) 2017-2022,2024 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 ACL_SRC_CPU_KERNELS_CPUGEMMLOWPOFFSETCONTRIBUTIONKERNEL_H
#define ACL_SRC_CPU_KERNELS_CPUGEMMLOWPOFFSETCONTRIBUTIONKERNEL_H
#include "src/core/common/Macros.h"
#include "src/cpu/ICpuKernel.h"
#include <cstdint>
namespace arm_compute
{
namespace cpu
{
namespace kernels
{
/** Kernel used to add the offset contribution after @ref CpuGemmLowpMatrixMultiplyKernel. The computation is performed in-place
*
* This kernel takes a final int32 accumulator value (the output of @ref CpuGemmLowpMatrixMultiplyKernel),
* and adds to it the offset contribution of matrix A and matrix B in-place.
*
* The final result is:
*
* mm_result[i][k] = mm_result[i][k] +
* (vector_sum_col[k] * a_offset) +
* (vector_sum_row[i] * b_offset) +
* (a_offset * b_offset * k)
*
*/
class CpuGemmLowpOffsetContributionKernel : public ICpuKernel<CpuGemmLowpOffsetContributionKernel>
{
public:
/** Default constructor */
CpuGemmLowpOffsetContributionKernel() = default;
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmLowpOffsetContributionKernel);
/** Initialise the kernel's input and output.
*
* @param[in, out] mm_result Input tensor containing the result of @ref CpuGemmLowpMatrixMultiplyKernel. Data type supported: S32
* @param[in] vector_sum_col Input row-vector of sums of all the entries in each column of matrix B.
* Note: vector_sum_col can be a nullptr in case a_offset = 0. Data type supported: same as @p mm_result
* @param[in] vector_sum_row Input row-vector of sums of all the entries in each row of matrix A.
* Note: vector_sum_row can be a nullptr in case b_offset = 0. Data type supported: same as @p mm_result
* @param[in] k Number of matrix A columns or Matrix B rows
* @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] scale (Optional) multiplies the contribution to make it the same scale as the dst in the case where mm_result is float
* (and so has already been scaled). Default is 1.0
*/
void configure(ITensorInfo *mm_result,
ITensorInfo *vector_sum_col,
ITensorInfo *vector_sum_row,
int32_t k,
int32_t a_offset,
int32_t b_offset,
float scale = 1.0f);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to CpuGemmLowpOffsetContributionKernel::configure()
*
* @return a status
*/
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);
/** Set the a offset
* Warning: if a_offset is non-zero then vector_sum_col must be set in run_op.
* Run configure or validate again if you aren't sure
*
* @param[in] a_offset Offset to be added to each element of the matrix A.
*/
void set_a_offset(int32_t a_offset);
/** Set the b offset
* Warning: if b_offset is non-zero then vector_sum_row must be set in run_op.
* Run configure or validate again if you aren't sure
*
* @param[in] b_offset Offset to be added to each element of the matrix B.
*/
void set_b_offset(int32_t b_offset);
/** Set the dequantize scale
*
* @param[in] scale Multiplies the contribution to make it the same scale as the dst in the case where
* mm_result is float (and so has already been scaled).
*/
void set_scale(float scale);
// Inherited methods overridden:
void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
const char *name() const override;
private:
int32_t _a_offset{0};
int32_t _b_offset{0};
int32_t _k{0}; // Number of columns of A or rows of B, used in last offset term
float _scale{1.0};
bool _slide_vector_sum_col{true};
};
} // namespace kernels
} // namespace cpu
} // namespace arm_compute
#endif // ACL_SRC_CPU_KERNELS_CPUGEMMLOWPOFFSETCONTRIBUTIONKERNEL_H
|
