* 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_vpadding_intf_impl.h
* \brief
*/
#ifndef ASCENDC_MODULE_OPERATOR_VEC_VPADDING_INTERFACE_IMPL_H
#define ASCENDC_MODULE_OPERATOR_VEC_VPADDING_INTERFACE_IMPL_H
#include "kernel_tensor.h"
#include "kernel_check.h"
#include "kernel_struct_unary.h"
#if __NPU_ARCH__ == 1001
#include "dav_c100/kernel_operator_vec_vpadding_impl.h"
#elif __NPU_ARCH__ == 2002
#include "dav_m200/kernel_operator_vec_vpadding_impl.h"
#elif __NPU_ARCH__ == 2201
#include "dav_c220/kernel_operator_vec_vpadding_impl.h"
#elif __NPU_ARCH__ == 3002
#include "dav_m300/kernel_operator_vec_vpadding_impl.h"
#elif __NPU_ARCH__ == 3102
#include "dav_m310/kernel_operator_vec_vpadding_impl.h"
#elif __NPU_ARCH__ == 3101
#include "dav_c310/kernel_operator_vec_vpadding_impl.h"
#elif (__NPU_ARCH__ == 5102)
#include "dav_m510/kernel_operator_vec_vpadding_impl.h"
#elif __NPU_ARCH__ == 3003
#include "dav_l300/kernel_operator_vec_vpadding_impl.h"
#elif __NPU_ARCH__ == 3113
#include "dav_l311/kernel_operator_vec_vpadding_impl.h"
#endif
#pragma begin_pipe(V)
namespace AscendC {
template <typename T, bool isSetMask>
__aicore__ inline void VectorPadding(const LocalTensor<T>& dst, const LocalTensor<T>& src,
const uint8_t padMode, const bool padSide, const uint64_t mask, const uint8_t repeatTime,
const UnaryRepeatParams& repeatParams)
{
using PrimType = PrimT<T>;
#if ASCENDC_CPU_DEBUG
MaskSetter::Instance().SetMask(isSetMask);
if (!CheckVectorPadding(dst, src, padMode, padSide, mask, repeatTime, repeatParams, "VectorPadding")) {
ASCENDC_REPORT_CHECK_ERROR("VectorPadding", KernelFuncType::MASK_COUNT_MODE);
}
#endif
VectorPaddingImpl<PrimType, isSetMask>((__ubuf__ PrimType *)dst.GetPhyAddr(), (__ubuf__ PrimType *)src.GetPhyAddr(), padMode,
padSide, mask, repeatTime, repeatParams);
}
template <typename T, bool isSetMask>
__aicore__ inline void VectorPadding(const LocalTensor<T>& dst, const LocalTensor<T>& src,
const uint8_t padMode, const bool padSide, const uint64_t mask[], const uint8_t repeatTime,
const UnaryRepeatParams& repeatParams)
{
using PrimType = PrimT<T>;
#if ASCENDC_CPU_DEBUG
MaskSetter::Instance().SetMask(isSetMask);
if (!CheckVectorPadding(dst, src, padMode, padSide, mask, repeatTime, repeatParams, "VectorPadding")) {
ASCENDC_REPORT_CHECK_ERROR("VectorPadding", KernelFuncType::MASK_BIT_MODE);
}
#endif
VectorPaddingImpl<PrimType, isSetMask>((__ubuf__ PrimType *)dst.GetPhyAddr(), (__ubuf__ PrimType *)src.GetPhyAddr(), padMode,
padSide, mask, repeatTime, repeatParams);
}
template <typename T>
__aicore__ inline void VectorPadding(const LocalTensor<T>& dst, const LocalTensor<T>& src,
const uint8_t padMode, const bool padSide, const uint32_t count)
{
using PrimType = PrimT<T>;
#if ASCENDC_CPU_DEBUG
if (!CheckVectorPadding(dst, src, padMode, padSide, count, "VectorPadding")) {
ASCENDC_REPORT_CHECK_ERROR("VectorPadding", KernelFuncType::CALCOUNT_MODE);
}
#endif
VectorPaddingImpl((__ubuf__ PrimType *)dst.GetPhyAddr(), (__ubuf__ PrimType *)src.GetPhyAddr(), padMode, padSide,
count);
}
}
#pragma end_pipe
#endif
