/* * 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 { private: using GemmMatrixAddKernelPtr = std::add_pointer::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 &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 */