* 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_createvecindex_intf_impl.h
* \brief
*/
#ifndef ASCENDC_MODULE_OPERATOR_VEC_CREATEVECINDEX_INTERFACE_IMPL_H
#define ASCENDC_MODULE_OPERATOR_VEC_CREATEVECINDEX_INTERFACE_IMPL_H
#include "kernel_tensor.h"
#include "kernel_check.h"
#if __NPU_ARCH__ == 1001
#include "dav_c100/kernel_operator_vec_createvecindex_impl.h"
#elif __NPU_ARCH__ == 2002
#include "dav_m200/kernel_operator_vec_createvecindex_impl.h"
#elif __NPU_ARCH__ == 2201
#include "dav_c220/kernel_operator_vec_createvecindex_impl.h"
#elif __NPU_ARCH__ == 3002
#include "dav_m300/kernel_operator_vec_createvecindex_impl.h"
#elif __NPU_ARCH__ == 3102
#include "dav_m310/kernel_operator_vec_createvecindex_impl.h"
#elif __NPU_ARCH__ == 3101
#include "dav_c310/kernel_operator_vec_createvecindex_impl.h"
#elif (__NPU_ARCH__ == 5102)
#include "dav_m510/kernel_operator_vec_createvecindex_impl.h"
#elif __NPU_ARCH__ == 3003
#include "dav_l300/kernel_operator_vec_createvecindex_impl.h"
#elif __NPU_ARCH__ == 3113
#include "dav_l311/kernel_operator_vec_createvecindex_impl.h"
#include "dav_l311/kernel_operator_vec_cmpsel_impl.h"
#endif
namespace AscendC {
template <typename T>
__aicore__ inline __in_pipe__(S) __out_pipe__(V) void CreateVecIndex(LocalTensor<T> &dst, const T &firstValue,
uint64_t mask, uint8_t repeatTime, uint16_t dstBlkStride, uint8_t dstRepStride)
{
ASCENDC_ASSERT((SupportType<T, half, int16_t, float, int32_t>()), {KERNEL_LOG(KERNEL_ERROR, "Failed to check "
"dtype in CreateVecIndex, current api support dtype combination is dst: half / int16_t / float / int32_t");});
#if ASCENDC_CPU_DEBUG
if (!CheckFuncCreateVecIndex(dst, mask, repeatTime, dstBlkStride, dstRepStride, "CreateVecIndex")) {
ASCENDC_REPORT_CHECK_ERROR("CreateVecIndex", KernelFuncType::MASK_COUNT_MODE);
}
#endif
CreateVecIndexCalc(dst, firstValue, mask, repeatTime, dstBlkStride, dstRepStride);
}
template <typename T>
__aicore__ inline __in_pipe__(S) __out_pipe__(V) void CreateVecIndex(LocalTensor<T> &dst, const T &firstValue,
uint64_t mask[], uint8_t repeatTime, uint16_t dstBlkStride, uint8_t dstRepStride)
{
ASCENDC_ASSERT((SupportType<T, half, int16_t, float, int32_t>()), {KERNEL_LOG(KERNEL_ERROR, "Failed to check "
"dtype in CreateVecIndex, current api support dtype combination is dst: half / int16_t / float / int32_t");});
#if ASCENDC_CPU_DEBUG
if (!CheckFuncCreateVecIndex(dst, mask, repeatTime, dstBlkStride, dstRepStride, "CreateVecIndex")) {
ASCENDC_REPORT_CHECK_ERROR("CreateVecIndex", KernelFuncType::MASK_BIT_MODE);
}
#endif
CreateVecIndexCalc(dst, firstValue, mask, repeatTime, dstBlkStride, dstRepStride);
}
template <typename T>
__aicore__ inline __in_pipe__(S) __out_pipe__(V) void CreateVecIndex(LocalTensor<T> dst, const T &firstValue,
uint32_t count)
{
#if ASCENDC_CPU_DEBUG
if (!CheckFuncCreateVecIndex(dst, count, "CreateVecIndex")) {
ASCENDC_REPORT_CHECK_ERROR("CreateVecIndex", KernelFuncType::CALCOUNT_MODE);
}
#endif
CreateVecIndexCalc(dst, firstValue, count);
}
}
#endif
