* 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 kernel_operator_vec_binary_scalar_intf.h
* \brief
*/
#if !defined(__ASCENDC_INCLUDE_INTERNAL_HEADERS__)
#define __ASCENDC_INCLUDE_INTERNAL_HEADERS__
#define __UNDEF_ASCENDC_INCLUDE_INTERNAL_HEADERS_KERNEL_OPERATOR_VEC_BINARY_SCALAR_INTF_H__
#endif
#ifndef ASCENDC_MODULE_OPERATOR_VEC_BINARY_SCALAR_INTERFACE_H
#define ASCENDC_MODULE_OPERATOR_VEC_BINARY_SCALAR_INTERFACE_H
#include "kernel_macros.h"
#include "kernel_tensor.h"
#include "kernel_struct_unary.h"
#include "kernel_struct_binary.h"
#include "utils/kernel_utils_macros.h"
#if defined(ASCENDC_CPU_DEBUG) && ASCENDC_CPU_DEBUG == 1
#include <cstdint>
#include "stub_def.h"
#endif
#pragma begin_pipe(V)
namespace AscendC {
* Adds *
* ************************************************************************************************* */
* @ingroup Adds Level 0
* @brief dst[i] = src[i] + sacalar
* @param [out] dst output LocalTensor
* @param [in] src input LocalTensor
* @param [in] scalar input scalar number
* @param [in] mask[]/mask mask array/count
* @param [in] repeatTime repeat times
* @param [in] repeatParams.dstBlkStride dst block stride
* @param [in] repeatParams.srcBlkStride src block stride
* @param [in] repeatParams.dstRepStride dst repeat stride
* @param [in] repeatParams.src0RepStride src repeat stride
*/
template <typename T, bool isSetMask = true>
__aicore__ inline void Adds(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
uint64_t mask[], const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void Adds(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
uint64_t mask[], const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, bool isSetMask = true>
__aicore__ inline void Adds(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void Adds(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
#if (__NPU_ARCH__ == 3510) || (__NPU_ARCH__ == 5102)
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Adds(const U& dst, const S& src0, const V& src1, uint64_t mask[],
const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Adds(const U& dst, const S& src0, const V& src1,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
#endif
* @ingroup Adds Level 2
* @brief dst = src[i] + sacalar
* @param [out] dst output LocalTensor
* @param [in] src input LocalTensor
* @param [in] scalar input scalar number
* @param [in] count number Number of data involved in calculation
*/
template <typename T, bool isSetMask = true>
__aicore__ inline void Adds(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
const int32_t& count);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void Adds(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
const int32_t& count);
#if (__NPU_ARCH__ == 3510) || (__NPU_ARCH__ == 5102)
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Adds(const U& dst, const S& src0, const V& src1, const int32_t& count);
#endif
* Muls *
* ************************************************************************************************* */
* @ingroup Muls Level 0
* @brief dst[i] = src[i] * sacalar
* @param [out] dst output LocalTensor
* @param [in] src input LocalTensor
* @param [in] scalar input scalar number
* @param [in] mask[]/mask mask array/count
* @param [in] repeatTime repeat times
* @param [in] repeatParams.dstBlkStride dst block stride
* @param [in] repeatParams.srcBlkStride src block stride
* @param [in] repeatParams.dstRepStride dst repeat stride
* @param [in] repeatParams.src0RepStride src repeat stride
*/
template <typename T, bool isSetMask = true>
__aicore__ inline void Muls(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
uint64_t mask[], const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void Muls(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
uint64_t mask[], const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, bool isSetMask = true>
__aicore__ inline void Muls(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void Muls(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
#if (__NPU_ARCH__ == 3510) || (__NPU_ARCH__ == 5102)
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Muls(const U& dst, const S& src0, const V& src1, uint64_t mask[],
const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Muls(const U& dst, const S& src0, const V& src1,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
#endif
* @ingroup Muls Level 2
* @brief dst = src[i] * sacalar
* @param [out] dst output LocalTensor
* @param [in] src input LocalTensor
* @param [in] scalar input scalar number
* @param [in] count number Number of data involved in calculation
*/
template <typename T, bool isSetMask = true>
__aicore__ inline void Muls(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
const int32_t& count);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void Muls(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
const int32_t& count);
#if (__NPU_ARCH__ == 3510) || (__NPU_ARCH__ == 5102)
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Muls(const U& dst, const S& src0, const V& src1, const int32_t& count);
#endif
* Maxs *
* ************************************************************************************************* */
* @ingroup Maxs Level 0
* @brief dst[i] = src[i] > sacalar ? src[0] : scalar
* @param [out] dst output LocalTensor
* @param [in] src input LocalTensor
* @param [in] scalar input scalar number
* @param [in] mask[]/mask mask array/count
* @param [in] repeatTime repeat times
* @param [in] repeatParams.dstBlkStride dst block stride
* @param [in] repeatParams.srcBlkStride src block stride
* @param [in] repeatParams.dstRepStride dst repeat stride
* @param [in] repeatParams.src0RepStride src repeat stride
*/
template <typename T, bool isSetMask = true>
__aicore__ inline void Maxs(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
uint64_t mask[], const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void Maxs(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
uint64_t mask[], const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, bool isSetMask = true>
__aicore__ inline void Maxs(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void Maxs(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
#if (__NPU_ARCH__ == 3510) || (__NPU_ARCH__ == 5102)
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Maxs(const U& dst, const S& src0, const V& src1, uint64_t mask[],
const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Maxs(const U& dst, const S& src0, const V& src1,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
#endif
* @ingroup Maxs Level 2
* @brief dst = src[i] > sacalar ? src[0] : scalar
* @param [out] dst output LocalTensor
* @param [in] src input LocalTensor
* @param [in] scalar input scalar number
* @param [in] count number Number of data involved in calculation
*/
template <typename T, bool isSetMask = true>
__aicore__ inline void Maxs(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
const int32_t& count);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void Maxs(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
const int32_t& count);
#if (__NPU_ARCH__ == 3510) || (__NPU_ARCH__ == 5102)
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Maxs(const U& dst, const S& src0, const V& src1, const int32_t& count);
#endif
* Mins *
* ************************************************************************************************* */
* @ingroup Mins Level 0
* @brief dst[i] = src[i] < sacalar ? src[0] : scalar
* @param [out] dst output LocalTensor
* @param [in] src input LocalTensor
* @param [in] scalar input scalar number
* @param [in] mask[]/mask mask array/count
* @param [in] repeatTime repeat times
* @param [in] repeatParams.dstBlkStride dst block stride
* @param [in] repeatParams.srcBlkStride src block stride
* @param [in] repeatParams.dstRepStride dst repeat stride
* @param [in] repeatParams.src0RepStride src repeat stride
*/
template <typename T, bool isSetMask = true>
__aicore__ inline void Mins(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
uint64_t mask[], const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void Mins(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
uint64_t mask[], const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, bool isSetMask = true>
__aicore__ inline void Mins(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void Mins(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
#if (__NPU_ARCH__ == 3510) || (__NPU_ARCH__ == 5102)
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Mins(const U& dst, const S& src0, const V& src1, uint64_t mask[],
const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Mins(const U& dst, const S& src0, const V& src1,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
#endif
* @ingroup Mins Level 2
* @brief dst = src[i] < sacalar ? src[0] : scalar
* @param [out] dst output LocalTensor
* @param [in] src input LocalTensor
* @param [in] scalar input scalar number
* @param [in] count number Number of data involved in calculation
*/
template <typename T, bool isSetMask = true>
__aicore__ inline void Mins(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
const int32_t& count);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void Mins(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
const int32_t& count);
#if (__NPU_ARCH__ == 3510) || (__NPU_ARCH__ == 5102)
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Mins(const U& dst, const S& src0, const V& src1, const int32_t& count);
#endif
* ShiftLeft *
* ************************************************************************************************* */
* @ingroup ShiftLeft Level 0
* @brief dst[i] = src[i] << sacalar
* @param [out] dst output LocalTensor
* @param [in] src input LocalTensor
* @param [in] scalar input scalar number
* @param [in] mask[]/mask mask array/count
* @param [in] repeatTime repeat times
* @param [in] repeatParams.dstBlkStride dst block stride
* @param [in] repeatParams.srcBlkStride src block stride
* @param [in] repeatParams.dstRepStride dst repeat stride
* @param [in] repeatParams.src0RepStride src repeat stride
*/
template <typename T, bool isSetMask = true>
__aicore__ inline void ShiftLeft(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
uint64_t mask[], const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void ShiftLeft(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
uint64_t mask[], const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, bool isSetMask = true>
__aicore__ inline void ShiftLeft(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void ShiftLeft(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
* @ingroup Shiftleft Level 2
* @brief dst = src[i] << sacalar
* @param [out] dst output LocalTensor
* @param [in] src input LocalTensor
* @param [in] scalar input scalar number
* @param [in] count number Number of data involved in calculation
*/
template <typename T, bool isSetMask = true>
__aicore__ inline void ShiftLeft(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
const int32_t& count);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void ShiftLeft(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
const int32_t& count);
* ShiftRight *
* ************************************************************************************************* */
* @ingroup ShiftRight Level 0
* @brief dst[i] = src[i] >> sacalar
* @param [out] dst output LocalTensor
* @param [in] src input LocalTensor
* @param [in] scalar input scalar number
* @param [in] mask[]/mask mask array/count
* @param [in] repeatTime repeat times
* @param [in] repeatParams.dstBlkStride dst block stride
* @param [in] repeatParams.srcBlkStride src block stride
* @param [in] repeatParams.dstRepStride dst repeat stride
* @param [in] repeatParams.src0RepStride src repeat stride
*/
template <typename T, bool isSetMask = true>
__aicore__ inline void ShiftRight(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
uint64_t mask[], const uint8_t repeatTime, const UnaryRepeatParams& repeatParams, bool roundEn = false);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void ShiftRight(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
uint64_t mask[], const uint8_t repeatTime, const UnaryRepeatParams& repeatParams, bool roundEn);
template <typename T, bool isSetMask = true>
__aicore__ inline void ShiftRight(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams, bool roundEn = false);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void ShiftRight(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams, bool roundEn);
* @ingroup ShiftRight Level 2
* @brief dst = src[i] >> sacalar
* @param [out] dst output LocalTensor
* @param [in] src input LocalTensor
* @param [in] scalar input scalar number
* @param [in] count number Number of data involved in calculation
*/
template <typename T, bool isSetMask = true>
__aicore__ inline void ShiftRight(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
const int32_t& count);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void ShiftRight(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
const int32_t& count);
* LeakyRelu *
* ************************************************************************************************* */
* @ingroup LeakyRelu Level 0
* @brief dst[i] = src[i] < 0 ? (scalar * src[i]) : src[i]
* @param [out] dst output LocalTensor
* @param [in] src input LocalTensor
* @param [in] scalar input scalar number
* @param [in] mask[]/mask mask array/count
* @param [in] repeatTime repeat times
* @param [in] repeatParams.dstBlkStride dst block stride
* @param [in] repeatParams.srcBlkStride src block stride
* @param [in] repeatParams.dstRepStride dst repeat stride
* @param [in] repeatParams.src0RepStride src repeat stride
*/
template <typename T, bool isSetMask = true>
__aicore__ inline void LeakyRelu(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
uint64_t mask[], const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void LeakyRelu(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
uint64_t mask[], const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, bool isSetMask = true>
__aicore__ inline void LeakyRelu(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void LeakyRelu(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
* @ingroup LeakyRelu Level 2
* @brief dst = src[i] < 0 ? (scalar * src[i]) : src[i]
* @param [out] dst output LocalTensor
* @param [in] src input LocalTensor
* @param [in] scalar input scalar number
* @param [in] count number Number of data involved in calculation
*/
template <typename T, bool isSetMask = true>
__aicore__ inline void LeakyRelu(const LocalTensor<T>& dst, const LocalTensor<T>& src, const T& scalarValue,
const int32_t& count);
template <typename T, typename U, bool isSetMask = true,
typename Std::enable_if<Std::is_same<PrimT<T>, U>::value, bool>::type = true>
__aicore__ inline void LeakyRelu(const LocalTensor<T>& dst, const LocalTensor<T>& src, const U& scalarValue,
const int32_t& count);
#if (__NPU_ARCH__ == 3510) || (__NPU_ARCH__ == 5102) || (__NPU_ARCH__ == 3003) || (__NPU_ARCH__ == 3113)
* Subs *
* ************************************************************************************************* */
* @ingroup Subs Level 0
* @brief dst[i] = src0 - src1
* @param [out] dst output LocalTensor
* @param [in] src0 input LocalTensor or scalar, one of src0/src1 should be scalar or single point LocalTensor
* @param [in] src1 input LocalTensor or scalar, one of src0/src1 should be scalar or single point LocalTensor
* @param [in] mask[]/mask mask array/count
* @param [in] repeatTime repeat times
* @param [in] intriParams.dstBlkStride dst block stride
* @param [in] intriParams.srcBlkStride src block stride
* @param [in] intriParams.dstRepStride dst repeat stride
* @param [in] intriParams.src0RepStride src repeat stride
*/
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Subs(const U& dst, const S& src0, const V& src1, uint64_t mask[],
const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Subs(const U& dst, const S& src0, const V& src1,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
* @ingroup Subs Level 2
* @brief dst = src0 - src1
* @param [out] dst output LocalTensor
* @param [in] src0 input LocalTensor or scalar, one of src0/src1 should be scalar or single point LocalTensor
* @param [in] src1 input LocalTensor or scalar, one of src0/src1 should be scalar or single point LocalTensor
* @param [in] count number Number of data involved in calculation
*/
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Subs(const U& dst, const S& src0, const V& src1, const int32_t& count);
* Divs *
* ************************************************************************************************* */
* @ingroup Divs Level 0
* @brief dst[i] = src0 // src1
* @param [out] dst output LocalTensor
* @param [in] src0 input LocalTensor or scalar, one of src0/src1 should be scalar or single point LocalTensor
* @param [in] src1 input LocalTensor or scalar, one of src0/src1 should be scalar or single point LocalTensor
* @param [in] mask[]/mask mask array/count
* @param [in] repeatTime repeat times
* @param [in] intriParams.dstBlkStride dst block stride
* @param [in] intriParams.srcBlkStride src block stride
* @param [in] intriParams.dstRepStride dst repeat stride
* @param [in] intriParams.src0RepStride src repeat stride
*/
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Divs(const U& dst, const S& src0, const V& src1, uint64_t mask[],
const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Divs(const U& dst, const S& src0, const V& src1,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
* @ingroup Divs Level 2
* @brief dst = src0 // src1
* @param [out] dst output LocalTensor
* @param [in] src0 input LocalTensor or scalar, one of src0/src1 should be scalar or single point LocalTensor
* @param [in] src1 input LocalTensor or scalar, one of src0/src1 should be scalar or single point LocalTensor
* @param [in] count number Number of data involved in calculation
*/
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Divs(const U& dst, const S& src0, const V& src1, const int32_t& count);
* Ands *
* ************************************************************************************************* */
* @ingroup Ands Level 0
* @brief dst[i] = src0 & src1
* @param [out] dst output LocalTensor
* @param [in] src0 input LocalTensor or scalar, one of src0/src1 should be scalar or single point LocalTensor
* @param [in] src1 input LocalTensor or scalar, one of src0/src1 should be scalar or single point LocalTensor
* @param [in] mask[]/mask mask array/count
* @param [in] repeatTime repeat times
* @param [in] intriParams.dstBlkStride dst block stride
* @param [in] intriParams.srcBlkStride src block stride
* @param [in] intriParams.dstRepStride dst repeat stride
* @param [in] intriParams.src0RepStride src repeat stride
*/
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Ands(const U& dst, const S& src0, const V& src1, uint64_t mask[],
const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Ands(const U& dst, const S& src0, const V& src1,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
* @ingroup Ands Level 2
* @brief dst = src0 & src1
* @param [out] dst output LocalTensor
* @param [in] src0 input LocalTensor or scalar, one of src0/src1 should be scalar or single point LocalTensor
* @param [in] src1 input LocalTensor or scalar, one of src0/src1 should be scalar or single point LocalTensor
* @param [in] count number Number of data involved in calculation
*/
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Ands(const U& dst, const S& src0, const V& src1, const int32_t& count);
* Ors *
* ************************************************************************************************* */
* @ingroup Ors Level 0
* @brief dst[i] = src0 | src1
* @param [out] dst output LocalTensor
* @param [in] src0 input LocalTensor or scalar, one of src0/src1 should be scalar or single point LocalTensor
* @param [in] src1 input LocalTensor or scalar, one of src0/src1 should be scalar or single point LocalTensor
* @param [in] mask[]/mask mask array/count
* @param [in] repeatTime repeat times
* @param [in] intriParams.dstBlkStride dst block stride
* @param [in] intriParams.srcBlkStride src block stride
* @param [in] intriParams.dstRepStride dst repeat stride
* @param [in] intriParams.src0RepStride src repeat stride
*/
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Ors(const U& dst, const S& src0, const V& src1, uint64_t mask[],
const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Ors(const U& dst, const S& src0, const V& src1,
uint64_t mask, const uint8_t repeatTime, const UnaryRepeatParams& repeatParams);
* @ingroup Ors Level 2
* @brief dst = src0 | src1
* @param [out] dst output LocalTensor
* @param [in] src0 input LocalTensor or scalar, one of src0/src1 should be scalar or single point LocalTensor
* @param [in] src1 input LocalTensor or scalar, one of src0/src1 should be scalar or single point LocalTensor
* @param [in] count number Number of data involved in calculation
*/
template <typename T = BinaryDefaultType, bool isSetMask = true, const BinaryConfig& config = DEFAULT_BINARY_CONFIG,
typename U, typename S, typename V>
__aicore__ inline void Ors(const U& dst, const S& src0, const V& src1, const int32_t& count);
* MulsCast *
* ************************************************************************************************* */
* @ingroup MulsCast Level 2
* @brief dst = abs(src0 - src1)
* @param [out] dst output LocalTensor
* @param [in] src0 input LocalTensor
* @param [in] src1 input LocalTensor
* @param [in] count number Number of data involved in calculation
*/
template <typename T0 = BinaryDefaultType, typename T1 = BinaryDefaultType,
const BinaryConfig &config = DEFAULT_BINARY_CONFIG, typename T2, typename T3, typename T4>
__aicore__ inline void MulsCast(const T2 &dst, const T3 &src0, const T4 &src1, const uint32_t count);
template <typename T0 = BinaryDefaultType, typename T1 = BinaryDefaultType,
const BinaryConfig &config = DEFAULT_BINARY_CONFIG, typename T2, typename T3, typename T4>
__aicore__ inline void FusedMulsCast(const T2 &dst, const T3 &src0, const T4 &src1, const uint32_t count);
#endif
}
#pragma end_pipe
#include "../../impl/basic_api/kernel_operator_vec_binary_scalar_intf_impl.h"
#endif
#if defined(__UNDEF_ASCENDC_INCLUDE_INTERNAL_HEADERS_KERNEL_OPERATOR_VEC_BINARY_SCALAR_INTF_H__)
#undef __ASCENDC_INCLUDE_INTERNAL_HEADERS__
#undef __UNDEF_ASCENDC_INCLUDE_INTERNAL_HEADERS_KERNEL_OPERATOR_VEC_BINARY_SCALAR_INTF_H__
#endif
