* 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_duplicate_intf.h
* \brief
*/
#ifndef ASCENDC_MODULE_OPERATOR_VEC_DUPLICATE_INTERFACE_H
#define ASCENDC_MODULE_OPERATOR_VEC_DUPLICATE_INTERFACE_H
#include "kernel_macros.h"
#include "kernel_tensor.h"
#if defined(ASCENDC_CPU_DEBUG) && ASCENDC_CPU_DEBUG == 1
#include <cstdint>
#include "stub_def.h"
#endif
#pragma begin_pipe(V)
namespace AscendC {
* Duplicate *
* ************************************************************************************************* */
* @ingroup Duplicate Level 0
* @brief dst[i] = scalar
* @param [out] dst output LocalTensor
* @param [in] scalar input scalar number
* @param [in] mask[]/mask mask array/count
* @param [in] repeatTime repeat times
* @param [in] dstBlockStride dst block stride
* @param [in] dstRepeatStride dst repeat stride
*/
template <typename T, bool isSetMask = true>
__aicore__ inline void Duplicate(const LocalTensor<T>& dst, const T& scalarValue, uint64_t mask,
const uint8_t repeatTime, const uint16_t dstBlockStride, const uint8_t dstRepeatStride);
template <typename T, bool isSetMask = true>
__aicore__ inline void Duplicate(const LocalTensor<T>& dst, const T& scalarValue, uint64_t mask[],
const uint8_t repeatTime, const uint16_t dstBlockStride, const uint8_t dstRepeatStride);
* @ingroup Duplicate Level 2
* @brief dst = dst[i] = scalar
* @param [out] dst output LocalTensor
* @param [in] scalar input scalar number
* @param [in] count number Number of data involved in calculation
*/
template <typename T>
__aicore__ inline void Duplicate(const LocalTensor<T>& dst, const T& scalarValue, const int32_t& count);
#if (__NPU_ARCH__ == 3101) || (__NPU_ARCH__ == 5102)
* @ingroup Duplicate lowest position of src
* @brief dst = dst[i] = src[0]
* @param [out] dst output LocalTensor
* @param [in] src input LocalTensor
* @param [in] count number Number of data involved in calculation
*/
template <typename T>
__aicore__ inline void Duplicate(const LocalTensor<T>& dst, const LocalTensor<T>& src,
const int32_t& count);
* Interleave *
* ************************************************************************************************* */
* @ingroup Interleave Level 2
* @brief Interleave src0 and src1 to dst0 and dst1
* @param [out] dst0 output0 LocalTensor
* @param [out] dst1 output1 LocalTensor
* @param [in] src0 input0 LocalTensor
* @param [in] src1 input1 LocalTensor
* @param [count] count number of data calculation, must be even number
*/
template <typename T>
__aicore__ inline void Interleave(const LocalTensor<T>& dst0, const LocalTensor<T>& dst1,
const LocalTensor<T>& src0, const LocalTensor<T>& src1, const int32_t count);
* DeInterleave *
* ************************************************************************************************* */
* @ingroup DeInterleave Level 2
* @brief DeInterleave src0 and src1 to dst0 and dst1
* @param [out] dst0 output0 LocalTensor
* @param [out] dst1 output1 LocalTensor
* @param [in] src0 input0 LocalTensor
* @param [in] src1 input1 LocalTensor
* @param [count] count number of data calculation, must be even number
*/
template <typename T>
__aicore__ inline void DeInterleave(const LocalTensor<T>& dst0, const LocalTensor<T>& dst1,
const LocalTensor<T>& src0, const LocalTensor<T>& src1, const int32_t count);
* @ingroup DeInterleave Level 2
* @brief DeInterleave src to dst0 and dst1
* @param [out] dst0 output0 LocalTensor
* @param [out] dst1 output1 LocalTensor
* @param [in] src input LocalTensor
* @param [srcCount] srcCount number of data calculation, must be even number
*/
template <typename T>
__aicore__ inline void DeInterleave(const LocalTensor<T>& dst0, const LocalTensor<T>& dst1,
const LocalTensor<T>& src, const int32_t srcCount);
#endif
}
#pragma end_pipe
#include "../../impl/basic_api/kernel_operator_vec_duplicate_intf_impl.h"
#endif
