* Copyright (c) 2025 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (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"
#if defined(__NPU_ARCH__) && (__NPU_ARCH__ == 3101 || __NPU_ARCH__ == 5102 || __NPU_ARCH__ == 3003 || __NPU_ARCH__ == 3113)
#include "../../../impl/adv_api/detail/math/axpy/axpy_c310_impl.h"
#else
#include "../../../impl/adv_api/detail/math/axpy/axpy_common_impl.h"
#endif
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 <typename T, typename U, bool isReuseSource = false>
__aicore__ inline void Axpy(const LocalTensor<T>& dstTensor, const LocalTensor<U>& srcTensor, const U scalarValue,
const LocalTensor<uint8_t>& sharedTmpBuffer, const uint32_t calCount)
{
if ASCEND_IS_AIC {
return;
}
AxpyImpl<T, U, isReuseSource>(dstTensor, srcTensor, scalarValue, sharedTmpBuffer, calCount);
}
#pragma end_pipe
}
#endif
