* 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_mm_impl.h
* \brief
*/
#if !defined(__ASCENDC_INCLUDE_INTERNAL_HEADERS__)
#pragma message("impl/basic_api/dav_c100/kernel_operator_mm_impl.h is an internal header file and must not be used directly. Functions or variables defined in this file may be removed in the future. Please use \"#include \"basic_api/kernel_tensor.h\"\" and use public functions or variables defined in interface headers files.")
#define __ASCENDC_INCLUDE_INTERNAL_HEADERS__
#define __UNDEF_ASCENDC_INCLUDE_INTERNAL_HEADERS_KERNEL_OPERATOR_MM_IMPL_H__
#endif
#ifndef ASCENDC_MODULE_OPERATOR_MM_IMPL_H
#define ASCENDC_MODULE_OPERATOR_MM_IMPL_H
#include "kernel_struct_mm.h"
namespace AscendC {
* LoadData 2dv1 *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void LoadData2DL12L0ACal(__ca__ T* dst, __cbuf__ T* src, const LoadData2DParams& loadDataParam)
{
if (loadDataParam.ifTranspose) {
load_cbuf_to_ca(dst, src, loadDataParam.startIndex, loadDataParam.repeatTimes, loadDataParam.srcStride,
loadDataParam.sid, 1, inc);
} else {
load_cbuf_to_ca(dst, src, loadDataParam.startIndex, loadDataParam.repeatTimes, loadDataParam.srcStride,
loadDataParam.sid, 0, inc);
}
}
template <typename T>
__aicore__ inline void LoadData2DL12L0BCal(__cb__ T* dst, __cbuf__ T* src, const LoadData2DParams& loadDataParam)
{
if (loadDataParam.ifTranspose) {
load_cbuf_to_cb(dst, src, loadDataParam.startIndex, loadDataParam.repeatTimes, loadDataParam.srcStride,
loadDataParam.sid, 1, inc);
} else {
load_cbuf_to_cb(dst, src, loadDataParam.startIndex, loadDataParam.repeatTimes, loadDataParam.srcStride,
loadDataParam.sid, 0, inc);
}
}
template <typename T>
__aicore__ inline void LoadData2DGM2L0ACal(__ca__ T* dst, __gm__ T* src, const LoadData2DParams& loadDataParam)
{
load_gm_to_ca(dst, src, loadDataParam.startIndex, loadDataParam.repeatTimes, loadDataParam.srcStride,
loadDataParam.sid, (addr_cal_mode_t)0);
}
template <typename T>
__aicore__ inline void LoadData2DGM2L0BCal(__cb__ T* dst, __gm__ T* src, const LoadData2DParams& loadDataParam)
{
load_gm_to_cb(dst, src, loadDataParam.startIndex, loadDataParam.repeatTimes, loadDataParam.srcStride,
loadDataParam.sid, (addr_cal_mode_t)0);
}
template <typename T>
__aicore__ inline void LoadData2DGM2L1Cal(__cbuf__ T* dst, __gm__ T* src, const LoadData2DParams& loadDataParam)
{
load_gm_to_cbuf(dst, src, loadDataParam.startIndex, loadDataParam.repeatTimes, loadDataParam.srcStride,
loadDataParam.sid, (addr_cal_mode_t)0);
}
template <typename T>
__aicore__ inline void LoadData2DL12L0ATransposeCal(__ca__ T *dst, __cbuf__ T *src,
const LoadData2dTransposeParams &loadDataParam)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadDataWithTranspose from A1 to A2");
}
template <typename T>
__aicore__ inline void LoadData2DL12L0BTransposeCal(__cb__ T *dst, __cbuf__ T *src,
const LoadData2dTransposeParams &loadDataParam)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadDataWithTranspose with LoadData2dTransposeParams from B1 to B2");
}
template <typename T>
__aicore__ inline void LoadData2DL12L0BTransposeCal(__cb__ T *dst, __cbuf__ T *src,
const LoadData2dTransposeParamsV2 &loadDataParam)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadDataWithTranspose with LoadData2dTransposeParamsV2 from B1 to B2");
}
* LoadData 2dv2 *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void LoadData2DL12L0ACal(__ca__ T *dst, __cbuf__ T *src, const LoadData2DParamsV2 &loadDataParam)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadData with LoadData2DParamsV2 from A1 to A2");
}
template <typename T>
__aicore__ inline void LoadData2DL12L0BCal(__cb__ T *dst, __cbuf__ T *src, const LoadData2DParamsV2 &loadDataParam)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadData with LoadData2DParamsV2 from B1 to B2");
}
template <typename T>
__aicore__ inline void LoadData2DGM2L0ACal(__ca__ T *dst, __gm__ T *src, const LoadData2DParamsV2 &loadDataParam)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadData with LoadData2DParamsV2 from GM to A2");
}
template <typename T>
__aicore__ inline void LoadData2DGM2L0BCal(__cb__ T *dst, __gm__ T *src, const LoadData2DParamsV2 &loadDataParam)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadData with LoadData2DParamsV2 from GM to B2");
}
template <typename T>
__aicore__ inline void LoadData2DGM2L1Cal(__cbuf__ T *dst, __gm__ T *src, const LoadData2DParamsV2 &loadDataParam)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadData with LoadData2DParamsV2 from GM to A1 / B1");
}
* LoadData 3dv1 *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void LoadData3DV1L12L0ACal(__ca__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV1<T>& loadDataParams)
{
if (loadDataParams.cSize == 0) {
img2col_cbuf_to_ca(dst, src, loadDataParams.fetchFilterW, loadDataParams.fetchFilterH, loadDataParams.leftTopW,
loadDataParams.leftTopH, loadDataParams.c1Index, loadDataParams.strideW, loadDataParams.strideH,
loadDataParams.filterW, loadDataParams.filterH, loadDataParams.dilationFilterW,
loadDataParams.dilationFilterH, loadDataParams.jumpStride, loadDataParams.repeatMode,
loadDataParams.repeatTime, CSIZE0);
} else {
img2col_cbuf_to_ca(dst, src, loadDataParams.fetchFilterW, loadDataParams.fetchFilterH, loadDataParams.leftTopW,
loadDataParams.leftTopH, loadDataParams.c1Index, loadDataParams.strideW, loadDataParams.strideH,
loadDataParams.filterW, loadDataParams.filterH, loadDataParams.dilationFilterW,
loadDataParams.dilationFilterH, loadDataParams.jumpStride, loadDataParams.repeatMode,
loadDataParams.repeatTime, CSIZE1);
}
}
template <typename T>
__aicore__ inline void LoadData3DV1L12L0BCal(__cb__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV1<T>& loadDataParams)
{
if (loadDataParams.cSize == 0) {
img2col_cbuf_to_cb(dst, src, loadDataParams.fetchFilterW, loadDataParams.fetchFilterH, loadDataParams.leftTopW,
loadDataParams.leftTopH, loadDataParams.c1Index, loadDataParams.strideW, loadDataParams.strideH,
loadDataParams.filterW, loadDataParams.filterH, loadDataParams.dilationFilterW,
loadDataParams.dilationFilterH, loadDataParams.jumpStride, loadDataParams.repeatMode,
loadDataParams.repeatTime, CSIZE0);
} else {
img2col_cbuf_to_cb(dst, src, loadDataParams.fetchFilterW, loadDataParams.fetchFilterH, loadDataParams.leftTopW,
loadDataParams.leftTopH, loadDataParams.c1Index, loadDataParams.strideW, loadDataParams.strideH,
loadDataParams.filterW, loadDataParams.filterH, loadDataParams.dilationFilterW,
loadDataParams.dilationFilterH, loadDataParams.jumpStride, loadDataParams.repeatMode,
loadDataParams.repeatTime, CSIZE1);
}
}
template <typename T>
__aicore__ inline void LoadData3DV1L12UBCal(__ubuf__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV1<T>& loadDataParams)
{
if (loadDataParams.cSize == 0) {
img2col_cbuf_to_ub(dst, src, loadDataParams.fetchFilterW, loadDataParams.fetchFilterH, loadDataParams.leftTopW,
loadDataParams.leftTopH, loadDataParams.c1Index, loadDataParams.strideW, loadDataParams.strideH,
loadDataParams.filterW, loadDataParams.filterH, loadDataParams.dilationFilterW,
loadDataParams.dilationFilterH, loadDataParams.jumpStride, loadDataParams.repeatMode,
loadDataParams.repeatTime, CSIZE0);
} else {
img2col_cbuf_to_ub(dst, src, loadDataParams.fetchFilterW, loadDataParams.fetchFilterH, loadDataParams.leftTopW,
loadDataParams.leftTopH, loadDataParams.c1Index, loadDataParams.strideW, loadDataParams.strideH,
loadDataParams.filterW, loadDataParams.filterH, loadDataParams.dilationFilterW,
loadDataParams.dilationFilterH, loadDataParams.jumpStride, loadDataParams.repeatMode,
loadDataParams.repeatTime, CSIZE1);
}
}
* Mmad *
* ************************************************************************************************* */
template <typename T, typename U, typename S>
__aicore__ inline void MmadCal(__cc__ T* c, __ca__ U* a, __cb__ S* b, const MmadParams& mmadParams)
{
ASCENDC_ASSERT(mmadParams.cmatrixSource == 0,
{ KERNEL_LOG(KERNEL_ERROR, "the C matrix source not support BT buffer on current device"); });
bool cmatrixInitVal = mmadParams.cmatrixInitVal && (!mmadParams.isBias);
return mad(c, a, b, mmadParams.m, mmadParams.k, mmadParams.n, cmatrixInitVal);
}
template <typename T, typename U, typename S>
__aicore__ inline void MmadCal(__cc__ T* c, __ca__ U* a, __cb__ S* b, uint64_t bias,
const MmadParams& mmadParams, bool cmatrixSource)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "Mmad with biasLocal");
}
__aicore__ inline void MmadSpCal(__cc__ int32_t *c, __ca__ int8_t *a, __cb__ int8_t *b, const MmadParams &mmadParams)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "MmadWithSparse");
}
template <typename T = int8_t, typename U = uint8_t,
typename std::enable_if<IsSameType<PrimT<T>, int8_t>::value, bool>::type = true,
typename std::enable_if<IsSameType<PrimT<U>, uint8_t>::value, bool>::type = true>
__aicore__ inline void LoadDataWithSparseCal(const LocalTensor<T> &dst, const LocalTensor<T> &src,
const LocalTensor<U> &idx, const LoadData2dParams &loadDataParam)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadDataWithSparse");
}
template <typename T = int8_t, typename std::enable_if<IsSameType<PrimT<T>, int8_t>::value, bool>::type = true>
__aicore__ inline void LoadUnzipIndexCal(const GlobalTensor<T>& src, uint32_t numOfIndexTabEntry)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadUnzipIndex");
}
* BroadCastVecToMM *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void BroadCastVecToMMCal(__cc__ T* dst, __ubuf__ T* src, const int32_t blockCount,
const uint8_t blockLen, const uint8_t srcGap, const uint8_t dstGap)
{
broadcast_ub_to_cc(dst, src, blockCount, blockLen, srcGap, dstGap);
}
* LoadData 3dv1 *
* ************************************************************************************************* */
__aicore__ inline void Load3DSetFMatrixCal(uint16_t l1H, uint16_t l1W, const uint8_t padList[4])
{
uint64_t regFMatrix = 0;
regFMatrix |= uint64_t(l1W & 0xFFFF);
uint32_t l1HShiftBit = 16;
regFMatrix |= uint64_t(l1H & 0xFFFF) << l1HShiftBit;
uint32_t padNumber = 4;
uint32_t padListShiftBit = 8;
uint32_t padListShiftBase = 32;
for (uint32_t i = 0; i < padNumber; i++) {
regFMatrix |= uint64_t(padList[i] & 0xFF) << (padListShiftBase + i * padListShiftBit);
}
set_fmatrix(regFMatrix);
}
__aicore__ inline void Load3DSetFMatrixBCal(uint16_t l1H, uint16_t l1W, const uint8_t padList[4])
{
ASCENDC_REPORT_NOT_SUPPORT(false, "SetFMatrix with fmatrixMode = FMATRIX_RIGHT");
}
template <typename T> __aicore__ inline void Load3DSetPaddingCal(const T padValue)
{
uint16_t paddingValue = 0;
uint16_t padValueShiftBit = 8;
if constexpr (sizeof(T) == B16_BYTE_SIZE) {
paddingValue = static_cast<uint16_t>(GetScalarBitcodeValue((T)padValue));
} else if constexpr (sizeof(T) == B32_BYTE_SIZE) {
ASCENDC_ASSERT(false, { KERNEL_LOG(KERNEL_ERROR, "Load3DSetPaddingCal does not support sizeof(T) = 4"); });
} else {
paddingValue = ((static_cast<uint16_t>(padValue)) << padValueShiftBit) | static_cast<uint16_t>(padValue);
}
set_padding(paddingValue);
}
* LoadData 3dv2 *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void LoadData3DV2L12L0ACal(__ca__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV2<T>& loadDataParams)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadData with LoadData3DParamsV2 from A1 to A2");
}
template <typename T>
__aicore__ inline void LoadData3DV2L12L0BCal(__cb__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV2<T>& loadDataParams)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadData with LoadData3DParamsV2 from B1 to B2");
}
template <typename T>
__aicore__ inline void LoadData3DV2L12UBCal(__ubuf__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV2<T>& loadDataParams)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadData with LoadData3DParamsV2 from L1 to UB");
}
* LoadData 3dv2Pro *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void LoadData3DV2L12L0ACal(__ca__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV2Pro& loadDataParams)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadData with LoadData3DParamsV2Pro from A1 to A2");
}
template <typename T>
__aicore__ inline void LoadData3DV2L12L0BCal(__cb__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV2Pro& loadDataParams)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadData with LoadData3DParamsV2Pro from B1 to B2");
}
template <typename T>
__aicore__ inline void LoadData3DV2L12UBCal(__ubuf__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV2Pro& loadDataParams)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadData with LoadData3DParamsV2Pro from L1 to UB");
}
* InitL1Buffer *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void InitL1BufferCal(__cbuf__ T *dst, const InitConstValueParams<T> &initConstValueParams)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "InitConstValue in A1 / B1");
}
* InitL0ANzMatrix *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void InitL0ANzMatrixCal(__ca__ T *dst, const InitConstValueParams<T> &initConstValueParams)
{
int64_t repeatBit = initConstValueParams.repeatTimes;
if constexpr (IsSameType<T, half>::value) {
create_ca_matrix((__ca__ void *)dst, repeatBit, (half)initConstValueParams.initValue);
} else if constexpr (IsSameType<T, int16_t>::value || IsSameType<T, uint16_t>::value) {
create_ca_matrix((__ca__ void *)dst, repeatBit, GetScalarBitcodeToHalf(initConstValueParams.initValue));
} else {
ASCENDC_ASSERT(false,
{ KERNEL_LOG(KERNEL_ERROR, "InitConstValue doesn't support current data type on current device"); });
}
}
* InitL0BNzMatrix *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void InitL0BNzMatrixCal(__cb__ T *dst, const InitConstValueParams<T> &initConstValueParams)
{
int64_t repeatBit = initConstValueParams.repeatTimes;
if constexpr (IsSameType<T, half>::value) {
create_cb_matrix((__cb__ void *)dst, repeatBit, (half)initConstValueParams.initValue);
} else if constexpr (IsSameType<T, int16_t>::value || IsSameType<T, uint16_t>::value) {
create_cb_matrix((__cb__ void *)dst, repeatBit, GetScalarBitcodeToHalf(initConstValueParams.initValue));
} else {
ASCENDC_ASSERT(false,
{ KERNEL_LOG(KERNEL_ERROR, "InitConstValue doesn't support current data type on current device"); });
}
}
* SetLoadDataRepeat *
* ************************************************************************************************* */
__aicore__ inline void SetLoadDataRepeatCal(const LoadDataRepeatParam& repeatParams)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "SetLoadDataRepeat");
}
* SetLoadDataBoundary *
* ************************************************************************************************* */
__aicore__ inline void SetLoadDataBoundaryCal(uint32_t boundaryValue)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "SetLoadDataBoundary");
}
* LoadImageToLocalCal *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void LoadImageToLocalCal(__cbuf__ T *dst, const LoadImageToLocalParams &loadDataParams)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadImageToLocal");
}
* LoadDataUnzip *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void LoadDataUnzipToL1Cal(__cbuf__ T *dst, __gm__ T *src)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadDataUnzip");
}
template <typename T>
__aicore__ inline void LoadDataUnzipToL0BCal(__cb__ T *dst, __gm__ T *src)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadDataUnzip");
}
template <typename T>
__aicore__ inline void LoadDataUnzipToL0ACal(__ca__ T *dst, __gm__ T *src)
{
ASCENDC_REPORT_NOT_SUPPORT(false, "LoadDataUnzip");
}
}
#endif
#if defined(__UNDEF_ASCENDC_INCLUDE_INTERNAL_HEADERS_KERNEL_OPERATOR_MM_IMPL_H__)
#undef __ASCENDC_INCLUDE_INTERNAL_HEADERS__
#undef __UNDEF_ASCENDC_INCLUDE_INTERNAL_HEADERS_KERNEL_OPERATOR_MM_IMPL_H__
#endif
