/** * Copyright (c) 2024 Huawei Technologies Co., Ltd. * This file is a part of the CANN Open Software. * Licensed under CANN Open Software License Agreement Version 1.0 (the "License"). * Please refer to the License for details. You may not use this file except in compliance with the License. * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. * See LICENSE in the root of the software repository for the full text of the License. */ /*! * \file axpy.h * \brief Compute axpy dst = src * scalar + dst */ #ifndef LIB_MATH_AXPY_H #define LIB_MATH_AXPY_H #include "kernel_tensor.h" #include "../../impl/math/axpy/axpy_common_impl.h" namespace AscendC { #pragma begin_pipe(V) /*! * \ingroup Axpy * \brief compute axpy dst = src * scalar + dst * \tparam isReuseSource: Whether to reuse the buffer of srcTensor. * If the value is true, srcTensor can used as tmpBuffer and the data in it will be overwritten. * If the value is false, srcTensor will not be used as tmpBuffer for calculation. * \param [out] dstTensor: output LocalTensor * \param [in] srcTensor: input LocalTensor * \param [in] scalarValue: input scalarValue * \param [in] sharedTmpBuffer: extra temporary shared space used for intermediate values among calculation process, * whose required space size should refer to corresponding tiling API, which is defined at axpy_tiling.h. * Generally, the more space you allocate, the better performance you will achieve, and the performance * reaches peak when buffer size is maximum(calculated by tiling function). Moreover, it is not guaranteed * that the shared space will be cleared after usage, the data could be anything. * \param [in] calCount: input total calCount */ template __aicore__ inline void Axpy(const LocalTensor& dstTensor, const LocalTensor& srcTensor, const U scalarValue, const LocalTensor& sharedTmpBuffer, const uint32_t calCount) { // Only for AI Vector Core. if ASCEND_IS_AIC { return; } AxpyImpl(dstTensor, srcTensor, scalarValue, sharedTmpBuffer, calCount); } #pragma end_pipe } // namespace AscendC #endif // LIB_MATH_AXPY_H