xref: /aosp_15_r20/external/ComputeLibrary/src/cpu/kernels/CpuGemmMatrixAdditionKernel.h (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
2  * Copyright (c) 2016-2022 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_CPU_GEMM_MATRIX_ADDITION_KERNEL_H
25 #define ARM_COMPUTE_CPU_GEMM_MATRIX_ADDITION_KERNEL_H
26 
27 #include "src/core/common/Macros.h"
28 #include "src/cpu/ICpuKernel.h"
29 
30 namespace arm_compute
31 {
32 namespace cpu
33 {
34 namespace kernels
35 {
36 /** Kernel to perform the in-place matrix addition between 2 matrices taking into account that the second matrix might be weighted by a scalar value beta:
37  *
38  * @note [ MTX_OUT = MTX_0 + beta * MTX_1 ] with MTX_0 and MTX_1 of the same size
39  *
40  * @note This stage is used to finalize the GEMM result and it is computed if and only if beta != 0.0. In case this kernel is used for finalizing GEMM result, we have:
41  *        - MTX_0 = A * B * alpha, where MTX_0 is the output of @ref CpuGemmMatrixMultiplyKernel
42  *        - MTX_1 = C
43  */
44 class CpuGemmMatrixAdditionKernel : public ICpuKernel<CpuGemmMatrixAdditionKernel>
45 {
46 private:
47     using GemmMatrixAddKernelPtr = std::add_pointer<void(const ITensor *, ITensor *, const Window &, float)>::type;
48 
49 public:
50     struct GemmMatrixAddKernel
51     {
52         const char                  *name;
53         const DataTypeISASelectorPtr is_selected;
54         GemmMatrixAddKernelPtr       ukernel;
55     };
56     CpuGemmMatrixAdditionKernel() = default;
57     ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmMatrixAdditionKernel);
58     /** Initialise the kernel's input and output.
59      *
60      * @note The input and output tensor must have the same dimensions
61      *
62      * @param[in]      src  Input tensor info (Matrix C). Data types supported: F16/F32
63      * @param[in, out] dst  Output tensor info. If this kernel is used to finalize the GEMM result, output contains the result obtained by the kernel @ref CpuGemmMatrixMultiplyKernel. Data type supported: the same as @p src.
64      * @param[in]      beta Weight of matrix C
65      */
66     void configure(const ITensorInfo *src, ITensorInfo *dst, float beta);
67     /** Static function to check if given info will lead to a valid configuration of @ref CpuGemmMatrixAdditionKernel.
68      *
69      * @note The input and output tensor must have the same dimensions
70      *
71      * Similar to @ref CpuGemmMatrixAdditionKernel::configure()
72      *
73      * @return a status
74      */
75     static Status validate(const ITensorInfo *src, const ITensorInfo *dst, float beta);
76 
77     // Inherited methods overridden:
78     void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
79     const char *name() const override;
80 
81     static const std::vector<GemmMatrixAddKernel> &get_available_kernels();
82 
83 private:
84     /** Common signature for all the matrix addition functions
85      *
86      * @param[in]  src    An input tensor. Data types supported: F16/F32
87      * @param[out] dst    The output tensor. Data type supported: same as @p src
88      * @param[in]  window Region on which to execute the kernel.
89      * @param[in]  beta   Weight of matrix C
90      */
91     /** Matrix addition function to use for the particular tensor types passed to configure() */
92     GemmMatrixAddKernelPtr _func{ nullptr };
93     float                  _beta{ 0.f };
94 };
95 } // namespace kernels
96 } // namespace cpu
97 } // namespace arm_compute
98 #endif /* ARM_COMPUTE_CPU_GEMM_MATRIX_ADDITION_KERNEL_H */
99