* 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 lgamma.h
* \brief
*/
#if !defined(__ASCENDC_INCLUDE_INTERNAL_HEADERS__)
#define __ASCENDC_INCLUDE_INTERNAL_HEADERS__
#define __UNDEF_ASCENDC_INCLUDE_INTERNAL_HEADERS_LGAMMA_H__
#endif
#ifndef LIB_MATH_LGAMMA_H
#define LIB_MATH_LGAMMA_H
#include "kernel_tensor.h"
#if defined(__NPU_ARCH__) && (__NPU_ARCH__ == 3510 || __NPU_ARCH__ == 5102)
#include "../../../impl/adv_api/detail/math/lgamma/lgamma_3510_impl.h"
#else
#include "../../../impl/adv_api/detail/math/lgamma/lgamma_common_impl.h"
#endif
#if defined(__NPU_ARCH__) && (__NPU_ARCH__ == 2201 || __NPU_ARCH__ == 2002 || __NPU_ARCH__ == 3510 || __NPU_ARCH__ == 5102)
namespace AscendC {
#pragma begin_pipe(V)
* @brief This function Computes the natural logarithm of the absolute value of the gamma function on input (e.g.
* lgamma(1) is 0)
* @ingroup Lgamma
* @param [in] srcTensor, input LocalTensor
* @param [in] sharedTmpBuffer, input local temporary Tensor
* @param [in] calCount, amount of data to be calculated
* @param [out] dstTensor, output LocalTensor
*/
template <typename T, bool isReuseSource = false>
__aicore__ inline void Lgamma(const LocalTensor<T>& dstTensor, const LocalTensor<T>& srcTensor,
const LocalTensor<uint8_t>& sharedTmpBuffer, const uint32_t calCount)
{
if ASCEND_IS_AIC {
return;
}
LgammaImpl<T, isReuseSource>(dstTensor, srcTensor, sharedTmpBuffer, calCount);
}
* @brief This function Computes the natural logarithm of the absolute value of the gamma function on input (e.g.
* lgamma(1) is 0)
* @ingroup Lgamma
* @param [in] srcTensor, input LocalTensor
* @param [in] calCount, amount of data to be calculated
* @param [out] dstTensor, output LocalTensor
*/
template <typename T, bool isReuseSource = false>
__aicore__ inline void Lgamma(const LocalTensor<T>& dstTensor, const LocalTensor<T>& srcTensor, const uint32_t calCount)
{
if ASCEND_IS_AIC {
return;
}
LocalTensor<uint8_t> tmp;
const bool ret = PopStackBuffer<uint8_t, TPosition::LCM>(tmp);
ASCENDC_ASSERT((ret), { KERNEL_LOG(KERNEL_ERROR, "PopStackBuffer Error!"); });
LgammaImpl<T, isReuseSource>(dstTensor, srcTensor, tmp, calCount);
}
#pragma end_pipe
}
#endif
#endif
#if defined(__UNDEF_ASCENDC_INCLUDE_INTERNAL_HEADERS_LGAMMA_H__)
#undef __ASCENDC_INCLUDE_INTERNAL_HEADERS__
#undef __UNDEF_ASCENDC_INCLUDE_INTERNAL_HEADERS_LGAMMA_H__
#endif