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Michele Di Giorgio93b75e02021-06-21 12:00:43 +01001/*
Giorgio Arena5ae8d802021-11-18 18:02:13 +00002 * Copyright (c) 2016-2022 Arm Limited.
Michele Di Giorgio93b75e02021-06-21 12:00:43 +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_GEMM_MATRIX_ADDITION_KERNEL_H
25#define ARM_COMPUTE_CPU_GEMM_MATRIX_ADDITION_KERNEL_H
26
27#include "src/core/common/Macros.h"
Georgios Pinitas7891a732021-08-20 21:39:25 +010028#include "src/cpu/ICpuKernel.h"
Michele Di Giorgio93b75e02021-06-21 12:00:43 +010029
30namespace arm_compute
31{
32namespace cpu
33{
34namespace 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:
Michele Di Giorgio53832b22021-06-21 14:45:44 +010041 * - MTX_0 = A * B * alpha, where MTX_0 is the output of @ref CpuGemmMatrixMultiplyKernel
Michele Di Giorgio93b75e02021-06-21 12:00:43 +010042 * - MTX_1 = C
43 */
Yair Schwarzbaum46d44d22022-01-12 16:38:58 +020044class CpuGemmMatrixAdditionKernel : public ICpuKernel<CpuGemmMatrixAdditionKernel>
Michele Di Giorgio93b75e02021-06-21 12:00:43 +010045{
Dana Zlotnik256ac622022-02-02 15:06:11 +020046private:
47 using GemmMatrixAddKernelPtr = std::add_pointer<void(const ITensor *, ITensor *, const Window &, float)>::type;
48
Michele Di Giorgio93b75e02021-06-21 12:00:43 +010049public:
Dana Zlotnik256ac622022-02-02 15:06:11 +020050 struct GemmMatrixAddKernel
51 {
52 const char *name;
53 const DataTypeISASelectorPtr is_selected;
54 GemmMatrixAddKernelPtr ukernel;
55 };
Michele Di Giorgio93b75e02021-06-21 12:00:43 +010056 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
Michele Di Giorgio53832b22021-06-21 14:45:44 +010063 * @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.
Michele Di Giorgio93b75e02021-06-21 12:00:43 +010064 * @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
Dana Zlotnik256ac622022-02-02 15:06:11 +020081 static const std::vector<GemmMatrixAddKernel> &get_available_kernels();
82
Michele Di Giorgio93b75e02021-06-21 12:00:43 +010083private:
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 */
Michele Di Giorgio93b75e02021-06-21 12:00:43 +010091 /** Matrix addition function to use for the particular tensor types passed to configure() */
Dana Zlotnik256ac622022-02-02 15:06:11 +020092 GemmMatrixAddKernelPtr _func{ nullptr };
93 float _beta{ 0.f };
Michele Di Giorgio93b75e02021-06-21 12:00:43 +010094};
95} // namespace kernels
96} // namespace cpu
97} // namespace arm_compute
98#endif /* ARM_COMPUTE_CPU_GEMM_MATRIX_ADDITION_KERNEL_H */