* 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 pad.h
* \brief
*/
#ifndef LIB_PAD_PAD_H
#define LIB_PAD_PAD_H
#include "kernel_basic_intf.h"
#include "kernel_tensor.h"
#include "kernel_pop_stack_buffer.h"
#include "kernel_tiling/kernel_tiling.h"
#include "../../../impl/adv_api/detail/pad/pad/pad_common_impl.h"
#if defined(__NPU_ARCH__) && (__NPU_ARCH__ == 2201 || __NPU_ARCH__ == 2002 || __NPU_ARCH__ == 3101 || __NPU_ARCH__ == 5102)
namespace AscendC {
* Pad *
* ************************************************************************************************* */
* @ingroup Pad
* @brief pad from src to dst, applicable to vector data
* @param [out] dstTensor output LocalTensor
* @param [in] srcTensor input LocalTensor
* @param [in] sharedTmpBuffer tmp buffer LocalTensor
* @param [in] PadParams.leftPad number of left pad
* @param [in] PadParams.rightPad number of right pad
* @param [in] PadParams.padValue value of pad
*/
#pragma begin_pipe(V)
template <typename T>
__aicore__ inline void Pad(const LocalTensor<T>& dstTensor, const LocalTensor<T>& srcTensor, PadParams& padParams,
const LocalTensor<uint8_t>& sharedTmpBuffer, PadTiling& tiling)
{
TRACE_START(TraceId::Pad);
PadImpl<T>(dstTensor, srcTensor, padParams, sharedTmpBuffer, tiling);
TRACE_STOP(TraceId::Pad);
}
* Pad *
* ************************************************************************************************* */
* @ingroup Pad
* @brief pad from src to dst, applicable to vector data
* @param [out] dstTensor output LocalTensor
* @param [in] srcTensor input LocalTensor
* @param [in] PadParams.leftPad number of left pad
* @param [in] PadParams.rightPad number of right pad
* @param [in] PadParams.padValue value of pad
*/
template <typename T>
__aicore__ inline void Pad(
const LocalTensor<T>& dstTensor, const LocalTensor<T>& srcTensor, PadParams& padParams, PadTiling& tiling)
{
LocalTensor<uint8_t> tmpBuffer;
bool res = PopStackBuffer<uint8_t, TPosition::LCM>(tmpBuffer);
ASCENDC_ASSERT(res, { KERNEL_LOG(KERNEL_ERROR, "PopStackBuffer Error!"); });
PadImpl<T>(dstTensor, srcTensor, padParams, tmpBuffer, tiling);
}
* UnPad *
* ************************************************************************************************* */
* @ingroup UnPad
* @brief unpad from src to dst, applicable to vector data
* @param [out] dstTensor output LocalTensor
* @param [in] srcTensor input LocalTensor
* @param [in] sharedTmpBuffer tmp buffer LocalTensor
* @param [in] unPadParams.leftPad number of left unpad
* @param [in] unPadParams.rightPad number of right unpad
*/
template <typename T>
__aicore__ inline void UnPad(const LocalTensor<T>& dstTensor, const LocalTensor<T>& srcTensor, UnPadParams& unPadParams,
LocalTensor<uint8_t>& sharedTmpBuffer, UnPadTiling& tiling)
{
UnPadImpl<T>(dstTensor, srcTensor, unPadParams, sharedTmpBuffer, tiling);
}
* UnPad *
* ************************************************************************************************* */
* @ingroup UnPad
* @brief unpad from src to dst, applicable to vector data
* @param [out] dstTensor output LocalTensor
* @param [in] srcTensor input LocalTensor
* @param [in] unPadParams.leftPad number of left unpad
* @param [in] unPadParams.rightPad number of right unpad
*/
template <typename T>
__aicore__ inline void UnPad(
const LocalTensor<T>& dstTensor, const LocalTensor<T>& srcTensor, UnPadParams& unPadParams, UnPadTiling& tiling)
{
LocalTensor<uint8_t> tmpBuffer;
bool res = PopStackBuffer<uint8_t, TPosition::LCM>(tmpBuffer);
ASCENDC_ASSERT(res, { KERNEL_LOG(KERNEL_ERROR, "PopStackBuffer Error!"); });
UnPadImpl<T>(dstTensor, srcTensor, unPadParams, tmpBuffer, tiling);
}
#pragma end_pipe
}
#endif
#endif
