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/*
* Copyright (c) 2016-2022 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 ARM_COMPUTE_CPU_GEMM_MATRIX_ADDITION_KERNEL_H
#define ARM_COMPUTE_CPU_GEMM_MATRIX_ADDITION_KERNEL_H
#include "src/core/common/Macros.h"
#include "src/cpu/ICpuKernel.h"
namespace arm_compute
{
namespace cpu
{
namespace kernels
{
/** 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:
*
* @note [ MTX_OUT = MTX_0 + beta * MTX_1 ] with MTX_0 and MTX_1 of the same size
*
* @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:
* - MTX_0 = A * B * alpha, where MTX_0 is the output of @ref CpuGemmMatrixMultiplyKernel
* - MTX_1 = C
*/
class CpuGemmMatrixAdditionKernel : public ICpuKernel<CpuGemmMatrixAdditionKernel>
{
private:
using GemmMatrixAddKernelPtr = std::add_pointer<void(const ITensor *, ITensor *, const Window &, float)>::type;
public:
struct GemmMatrixAddKernel
{
const char *name;
const DataTypeISASelectorPtr is_selected;
GemmMatrixAddKernelPtr ukernel;
};
CpuGemmMatrixAdditionKernel() = default;
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmMatrixAdditionKernel);
/** Initialise the kernel's input and output.
*
* @note The input and output tensor must have the same dimensions
*
* @param[in] src Input tensor info (Matrix C). Data types supported: F16/F32
* @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.
* @param[in] beta Weight of matrix C
*/
void configure(const ITensorInfo *src, ITensorInfo *dst, float beta);
/** Static function to check if given info will lead to a valid configuration of @ref CpuGemmMatrixAdditionKernel.
*
* @note The input and output tensor must have the same dimensions
*
* Similar to @ref CpuGemmMatrixAdditionKernel::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *src, const ITensorInfo *dst, float beta);
// Inherited methods overridden:
void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
const char *name() const override;
static const std::vector<GemmMatrixAddKernel> &get_available_kernels();
private:
/** Common signature for all the matrix addition functions
*
* @param[in] src An input tensor. Data types supported: F16/F32
* @param[out] dst The output tensor. Data type supported: same as @p src
* @param[in] window Region on which to execute the kernel.
* @param[in] beta Weight of matrix C
*/
/** Matrix addition function to use for the particular tensor types passed to configure() */
GemmMatrixAddKernelPtr _func{nullptr};
float _beta{0.f};
};
} // namespace kernels
} // namespace cpu
} // namespace arm_compute
#endif /* ARM_COMPUTE_CPU_GEMM_MATRIX_ADDITION_KERNEL_H */
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