* 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_m300/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 2dv2 *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void LoadData2DL12L0ATransposeCal(__ca__ T* dst, __cbuf__ T* src,
const LoadData2dTransposeParams &loadDataParam)
{
if constexpr (IsSameType<T, int4b_t>::value) {
ASCENDC_ASSERT(false, {
KERNEL_LOG(KERNEL_ERROR,
"LoadDataWithTranspose doesn't support data type int4b_t from L1 to L0A on current device");
});
} else {
load_cbuf_to_ca_transpose(dst, src, loadDataParam.startIndex, loadDataParam.repeatTimes,
loadDataParam.srcStride, loadDataParam.dstGap, inc, loadDataParam.dstFracGap);
}
}
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.dstGap, 1, inc);
} else {
load_cbuf_to_ca(dst, src, loadDataParam.startIndex, loadDataParam.repeatTimes, loadDataParam.srcStride,
loadDataParam.dstGap, 0, inc);
}
}
template <typename T>
__aicore__ inline void LoadData2DL12L0BTransposeCal(__cb__ T* dst, __cbuf__ T* src,
const LoadData2dTransposeParams& loadDataParam)
{
if constexpr (IsSameType<T, int4b_t>::value) {
load_cbuf_to_cb_transpose_s4((__cb__ void *)dst, (__cbuf__ void *)src, loadDataParam.startIndex,
loadDataParam.repeatTimes, loadDataParam.srcStride, loadDataParam.dstGap, inc,
loadDataParam.dstFracGap);
} else {
load_cbuf_to_cb_transpose(dst, src, loadDataParam.startIndex, loadDataParam.repeatTimes,
loadDataParam.srcStride, loadDataParam.dstGap, inc, loadDataParam.dstFracGap);
}
}
template <typename T>
__aicore__ inline void LoadData2DL12L0BTransposeCal(__cb__ T *dst, __cbuf__ T *src,
const LoadData2dTransposeParamsV2 &loadDataParam)
{
ASCENDC_ASSERT(false, {
KERNEL_LOG(
KERNEL_ERROR, "current device don't support load_cbuf_to_cb_transpose using LoadData2dTransposeParamsV2");
});
}
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.dstGap, 1, inc);
} else {
load_cbuf_to_cb(dst, src, loadDataParam.startIndex, loadDataParam.repeatTimes, loadDataParam.srcStride,
loadDataParam.dstGap, 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.dstGap, 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.dstGap, loadDataParam.sid, (addr_cal_mode_t)0);
}
template <typename T>
__aicore__ inline void LoadData2DGM2L1Cal(__cbuf__ T* dst, __gm__ T* src, const LoadData2DParams& loadDataParam)
{
if (loadDataParam.addrMode == 0) {
load_gm_to_cbuf(dst, src, loadDataParam.startIndex, loadDataParam.repeatTimes, loadDataParam.srcStride,
loadDataParam.dstGap, loadDataParam.sid, inc);
} else {
load_gm_to_cbuf(dst, src, loadDataParam.startIndex, loadDataParam.repeatTimes, loadDataParam.srcStride,
loadDataParam.dstGap, loadDataParam.sid, dec);
}
}
template <typename T>
__aicore__ inline void LoadData2DL12L0ACal(__ca__ T *dst, __cbuf__ T *src, const LoadData2DParamsV2 &loadDataParam)
{
ASCENDC_ASSERT(
false, { KERNEL_LOG(KERNEL_ERROR, "current device don't support LoadData using LoadData2DParamsV2"); });
}
template <typename T>
__aicore__ inline void LoadData2DL12L0BCal(__cb__ T *dst, __cbuf__ T *src, const LoadData2DParamsV2 &loadDataParam)
{
ASCENDC_ASSERT(
false, { KERNEL_LOG(KERNEL_ERROR, "current device don't support LoadData using LoadData2DParamsV2"); });
}
template <typename T>
__aicore__ inline void LoadData2DGM2L0ACal(__ca__ T *dst, __gm__ T *src, const LoadData2DParamsV2 &loadDataParam)
{
ASCENDC_ASSERT(
false, { KERNEL_LOG(KERNEL_ERROR, "current device don't support LoadData using LoadData2DParamsV2"); });
}
template <typename T>
__aicore__ inline void LoadData2DGM2L0BCal(__cb__ T *dst, __gm__ T *src, const LoadData2DParamsV2 &loadDataParam)
{
ASCENDC_ASSERT(
false, { KERNEL_LOG(KERNEL_ERROR, "current device don't support LoadData using LoadData2DParamsV2"); });
}
template <typename T>
__aicore__ inline void LoadData2DGM2L1Cal(__cbuf__ T *dst, __gm__ T *src, const LoadData2DParamsV2 &loadDataParam)
{
ASCENDC_ASSERT(
false, { KERNEL_LOG(KERNEL_ERROR, "current device don't support LoadData using LoadData2DParamsV2"); });
}
* LoadData 3dv2 *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void LoadData3DV2L12L0ACal(__ca__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV2<T>& loadDataParams)
{
if constexpr (IsSameType<T, int4b_t>::value) {
img2colv2_cbuf_to_ca_s4((__ca__ void *)dst, (__cbuf__ void *)src, loadDataParams.kExtension,
loadDataParams.mExtension, loadDataParams.kStartPt, loadDataParams.mStartPt, loadDataParams.strideW,
loadDataParams.strideH, loadDataParams.filterW, loadDataParams.filterH, loadDataParams.dilationFilterW,
loadDataParams.dilationFilterH, loadDataParams.filterSizeW, loadDataParams.filterSizeH,
loadDataParams.enTranspose, loadDataParams.fMatrixCtrl, loadDataParams.channelSize);
} else if constexpr (IsSameType<T, bfloat16_t>::value) {
img2colv2_cbuf_to_ca(reinterpret_cast<__ca__ half*>(dst), reinterpret_cast<__cbuf__ half*>(src),
loadDataParams.kExtension, loadDataParams.mExtension, loadDataParams.kStartPt,
loadDataParams.mStartPt, loadDataParams.strideW, loadDataParams.strideH, loadDataParams.filterW,
loadDataParams.filterH, loadDataParams.dilationFilterW, loadDataParams.dilationFilterH,
loadDataParams.filterSizeW, loadDataParams.filterSizeH, loadDataParams.enTranspose,
loadDataParams.fMatrixCtrl, loadDataParams.channelSize);
} else {
img2colv2_cbuf_to_ca(dst, src, loadDataParams.kExtension, loadDataParams.mExtension, loadDataParams.kStartPt,
loadDataParams.mStartPt, loadDataParams.strideW, loadDataParams.strideH, loadDataParams.filterW,
loadDataParams.filterH, loadDataParams.dilationFilterW, loadDataParams.dilationFilterH,
loadDataParams.filterSizeW, loadDataParams.filterSizeH, loadDataParams.enTranspose,
loadDataParams.fMatrixCtrl, loadDataParams.channelSize);
}
}
template <typename T>
__aicore__ inline void LoadData3DV2L12L0BCal(__cb__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV2<T>& loadDataParams)
{
if constexpr(IsSameType<T, bfloat16_t>::value) {
img2colv2_cbuf_to_cb(reinterpret_cast<__cb__ half*>(dst),
reinterpret_cast<__cbuf__ half*>(src),
loadDataParams.kExtension, loadDataParams.mExtension, loadDataParams.kStartPt,
loadDataParams.mStartPt, loadDataParams.strideW, loadDataParams.strideH, loadDataParams.filterW,
loadDataParams.filterH, loadDataParams.dilationFilterW, loadDataParams.dilationFilterH,
loadDataParams.filterSizeW, loadDataParams.filterSizeH, loadDataParams.enTranspose,
loadDataParams.fMatrixCtrl, loadDataParams.channelSize);
} else if constexpr (!IsSameType<T, int4b_t>::value) {
img2colv2_cbuf_to_cb(dst, src, loadDataParams.kExtension, loadDataParams.mExtension, loadDataParams.kStartPt,
loadDataParams.mStartPt, loadDataParams.strideW, loadDataParams.strideH, loadDataParams.filterW,
loadDataParams.filterH, loadDataParams.dilationFilterW, loadDataParams.dilationFilterH,
loadDataParams.filterSizeW, loadDataParams.filterSizeH, loadDataParams.enTranspose,
loadDataParams.fMatrixCtrl, loadDataParams.channelSize);
} else {
ASCENDC_ASSERT(false, {
KERNEL_LOG(KERNEL_ERROR,
"Load3DV2 doesn't support data type int4b_t from L1 to L0B on current device");
});
}
}
template <>
__aicore__ inline void LoadData3DV2L12L0ACal(__ca__ bfloat16_t* dst, __cbuf__ bfloat16_t* src,
const LoadData3DParamsV2<bfloat16_t>& loadDataParams)
{
img2colv2_cbuf_to_ca(reinterpret_cast<__ca__ half*>(dst),
reinterpret_cast<__cbuf__ half*>(src),
loadDataParams.kExtension, loadDataParams.mExtension, loadDataParams.kStartPt,
loadDataParams.mStartPt, loadDataParams.strideW, loadDataParams.strideH, loadDataParams.filterW,
loadDataParams.filterH, loadDataParams.dilationFilterW, loadDataParams.dilationFilterH,
loadDataParams.filterSizeW, loadDataParams.filterSizeH, loadDataParams.enTranspose,
loadDataParams.fMatrixCtrl, loadDataParams.channelSize);
}
template <>
__aicore__ inline void LoadData3DV2L12L0BCal(__cb__ bfloat16_t* dst, __cbuf__ bfloat16_t* src,
const LoadData3DParamsV2<bfloat16_t>& loadDataParams)
{
img2colv2_cbuf_to_cb(reinterpret_cast<__cb__ half*>(dst),
reinterpret_cast<__cbuf__ half*>(src),
loadDataParams.kExtension, loadDataParams.mExtension, loadDataParams.kStartPt,
loadDataParams.mStartPt, loadDataParams.strideW, loadDataParams.strideH, loadDataParams.filterW,
loadDataParams.filterH, loadDataParams.dilationFilterW, loadDataParams.dilationFilterH,
loadDataParams.filterSizeW, loadDataParams.filterSizeH, loadDataParams.enTranspose,
loadDataParams.fMatrixCtrl, loadDataParams.channelSize);
}
* LoadData 3dv2Pro *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void LoadData3DV2L12L0ACal(__ca__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV2Pro& loadDataParams)
{
img2colv2_cbuf_to_ca(dst, src, loadDataParams.extConfig, loadDataParams.extConfig >> LOAD_M_EXTENSION,
loadDataParams.extConfig >> LOAD_K_START_POSITION, loadDataParams.extConfig >> LOAD_M_START_POSITION,
loadDataParams.filterConfig, loadDataParams.filterConfig >> LOAD_STRIDE_H,
loadDataParams.filterConfig >> LOAD_FILTER_W, loadDataParams.filterConfig >> LOAD_FILTER_H,
loadDataParams.filterConfig >> LOAD_DILATION_FILTER_W, loadDataParams.filterConfig >> LOAD_DILATION_FILTER_H,
loadDataParams.filterSizeW, loadDataParams.filterSizeH, loadDataParams.enTranspose, loadDataParams.fMatrixCtrl,
loadDataParams.channelSize);
}
template <>
__aicore__ inline void LoadData3DV2L12L0ACal(__ca__ bfloat16_t* dst, __cbuf__ bfloat16_t* src,
const LoadData3DParamsV2Pro& loadDataParams)
{
img2colv2_cbuf_to_ca((__ca__ half*)dst, (__cbuf__ half*)src,
loadDataParams.extConfig, loadDataParams.extConfig >> LOAD_M_EXTENSION,
loadDataParams.extConfig >> LOAD_K_START_POSITION, loadDataParams.extConfig >> LOAD_M_START_POSITION,
loadDataParams.filterConfig, loadDataParams.filterConfig >> LOAD_STRIDE_H,
loadDataParams.filterConfig >> LOAD_FILTER_W, loadDataParams.filterConfig >> LOAD_FILTER_H,
loadDataParams.filterConfig >> LOAD_DILATION_FILTER_W, loadDataParams.filterConfig >> LOAD_DILATION_FILTER_H,
loadDataParams.filterSizeW, loadDataParams.filterSizeH, loadDataParams.enTranspose, loadDataParams.fMatrixCtrl,
loadDataParams.channelSize);
}
template <typename T>
__aicore__ inline void LoadData3DV2L12L0BCal(__cb__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV2Pro& loadDataParams)
{
img2colv2_cbuf_to_cb(dst, src, loadDataParams.extConfig, loadDataParams.extConfig >> LOAD_M_EXTENSION,
loadDataParams.extConfig >> LOAD_K_START_POSITION, loadDataParams.extConfig >> LOAD_M_START_POSITION,
loadDataParams.filterConfig, loadDataParams.filterConfig >> LOAD_STRIDE_H,
loadDataParams.filterConfig >> LOAD_FILTER_W, loadDataParams.filterConfig >> LOAD_FILTER_H,
loadDataParams.filterConfig >> LOAD_DILATION_FILTER_W, loadDataParams.filterConfig >> LOAD_DILATION_FILTER_H,
loadDataParams.filterSizeW, loadDataParams.filterSizeH, loadDataParams.enTranspose, loadDataParams.fMatrixCtrl,
loadDataParams.channelSize);
}
template <>
__aicore__ inline void LoadData3DV2L12L0BCal(__cb__ bfloat16_t* dst, __cbuf__ bfloat16_t* src,
const LoadData3DParamsV2Pro& loadDataParams)
{
img2colv2_cbuf_to_cb((__cb__ half*)dst, (__cbuf__ half*)src,
loadDataParams.extConfig, loadDataParams.extConfig >> LOAD_M_EXTENSION,
loadDataParams.extConfig >> LOAD_K_START_POSITION, loadDataParams.extConfig >> LOAD_M_START_POSITION,
loadDataParams.filterConfig, loadDataParams.filterConfig >> LOAD_STRIDE_H,
loadDataParams.filterConfig >> LOAD_FILTER_W, loadDataParams.filterConfig >> LOAD_FILTER_H,
loadDataParams.filterConfig >> LOAD_DILATION_FILTER_W, loadDataParams.filterConfig >> LOAD_DILATION_FILTER_H,
loadDataParams.filterSizeW, loadDataParams.filterSizeH, loadDataParams.enTranspose, loadDataParams.fMatrixCtrl,
loadDataParams.channelSize);
}
template <typename T>
__aicore__ inline void LoadData3DV2L12UBCal(__ubuf__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV2Pro& loadDataParams)
{
ASCENDC_ASSERT((false),
{ KERNEL_LOG(KERNEL_ERROR, "unsupported loaddata_3d_v2 from A1/B1 to UB on current device"); });
}
template <>
__aicore__ inline void LoadData3DV2L12L0BCal(__cb__ uint8_t* dst, __cbuf__ uint8_t* src,
const LoadData3DParamsV2Pro& loadDataParams)
{
ASCENDC_ASSERT((false), {
KERNEL_LOG(KERNEL_ERROR, "unsupported loaddata_3d_v2 load uint8_t dtype from A1/B1 to B2 on current device");
});
}
template <>
__aicore__ inline void LoadData3DV2L12L0BCal(__cb__ int8_t* dst, __cbuf__ int8_t* src,
const LoadData3DParamsV2Pro& loadDataParams)
{
ASCENDC_ASSERT((false), {
KERNEL_LOG(KERNEL_ERROR, "unsupported loaddata_3d_v2 load int8_t dtype from A1/B1 to B2 on current device");
});
}
* Mmad *
* ************************************************************************************************* */
template <typename T, typename U, typename S>
__aicore__ inline void MmadCal(__cc__ T* c, __ca__ U* a, __cb__ S* b, const MmadParams& mmadParams)
{
bool cmatrixInitVal = mmadParams.cmatrixInitVal && (!mmadParams.isBias);
if constexpr ((IsSameType<U, int4b_t>::value) && (IsSameType<S, int4b_t>::value)) {
mad_s4(c, (__ca__ void *)a, (__cb__ void *)b, mmadParams.m, mmadParams.k, mmadParams.n, mmadParams.unitFlag,
mmadParams.kDirectionAlign, mmadParams.cmatrixSource, cmatrixInitVal);
} else {
mad(c, a, b, mmadParams.m, mmadParams.k, mmadParams.n, mmadParams.unitFlag, mmadParams.kDirectionAlign,
mmadParams.cmatrixSource, 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)
{
if constexpr ((IsSameType<U, int4b_t>::value) && (IsSameType<S, int4b_t>::value)) {
mad_s4(c, (__ca__ void *)a, (__cb__ void *)b, mmadParams.m, mmadParams.k, mmadParams.n,
mmadParams.unitFlag, mmadParams.kDirectionAlign, cmatrixSource, mmadParams.cmatrixInitVal);
} else {
mad(c, a, b, bias, mmadParams.m, mmadParams.k, mmadParams.n, mmadParams.unitFlag, mmadParams.kDirectionAlign,
cmatrixSource, mmadParams.cmatrixInitVal);
}
}
__aicore__ inline void MmadSpCal(__cc__ int32_t *c, __ca__ int8_t *a, __cb__ int8_t *b, const MmadParams &mmadParams)
{
ASCENDC_ASSERT(false, { KERNEL_LOG(KERNEL_ERROR, "not support mmadSp calculate on current device"); });
}
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_ASSERT(false, { KERNEL_LOG(KERNEL_ERROR, "not support LoadDataWithSparse calculate on current device"); });
}
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_ASSERT(false, { KERNEL_LOG(KERNEL_ERROR, "not support LoadUnzipIndex on current device"); });
}
* 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])
{
uint64_t regFMatrix = 0;
regFMatrix |= static_cast<uint64_t>(l1W);
uint32_t l1HShiftBit = 16;
regFMatrix |= static_cast<uint64_t>(l1H) << 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_b(regFMatrix);
}
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) {
paddingValue = static_cast<uint32_t>(GetScalarBitcodeValue((T)padValue));
} else {
paddingValue = ((static_cast<uint16_t>(padValue)) << padValueShiftBit) | static_cast<uint16_t>(padValue);
}
set_padding(paddingValue);
}
* LoadData 3dv1 *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void LoadData3DV1L12L0ACal(__ca__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV1<T>& loadDataParams)
{
ASCENDC_ASSERT((false), { KERNEL_LOG(KERNEL_ERROR, "unsupported loaddata_3d_v1 from l1 to l0a"); });
}
template <typename T>
__aicore__ inline void LoadData3DV1L12L0BCal(__cb__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV1<T>& loadDataParams)
{
ASCENDC_ASSERT((false), { KERNEL_LOG(KERNEL_ERROR, "unsupported loaddata_3d_v1 from l1 to l0b"); });
}
template <typename T>
__aicore__ inline void LoadData3DV1L12UBCal(__ubuf__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV1<T>& loadDataParams)
{
ASCENDC_ASSERT((false), { KERNEL_LOG(KERNEL_ERROR, "unsupported loaddata_3d_v1 from l1 to ubuf"); });
}
* LoadData 3dv2 *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void LoadData3DV2L12UBCal(__ubuf__ T* dst, __cbuf__ T* src,
const LoadData3DParamsV2<T>& loadDataParams)
{
ASCENDC_ASSERT((false), { KERNEL_LOG(KERNEL_ERROR, "unsupported loaddata_3d_v2 from l1 to ubuf"); });
}
template <>
__aicore__ inline void LoadData3DV2L12L0BCal(__cb__ int8_t* dst, __cbuf__ int8_t* src,
const LoadData3DParamsV2<int8_t>& loadDataParams)
{
ASCENDC_ASSERT((false),
{ KERNEL_LOG(KERNEL_ERROR, "unsupported loaddata_3d_v2 load int8_t dtype from l1 to cb"); });
}
template <>
__aicore__ inline void LoadData3DV2L12L0BCal(__cb__ uint8_t* dst, __cbuf__ uint8_t* src,
const LoadData3DParamsV2<uint8_t>& loadDataParams)
{
ASCENDC_ASSERT((false),
{ KERNEL_LOG(KERNEL_ERROR, "unsupported loaddata_3d_v2 load uint8_t dtype from l1 to cb"); });
}
* BroadCastVecToMM *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void BroadCastVecToMMCal(__cc__ T* dstLocal, __ubuf__ T* srcLocal, const int32_t blockCount,
const uint8_t blockLen, const uint8_t srcGap, const uint8_t dstGap)
{
ASCENDC_ASSERT((false), { KERNEL_LOG(KERNEL_ERROR, "unsupported broadcast from ub to l0c on current device"); });
}
__aicore__ inline void CheckInitConstValueParams(uint16_t repeatTime, uint16_t blockNum, uint16_t dstGap)
{
constexpr uint16_t validRange = 32767;
ASCENDC_ASSERT((repeatTime <= validRange), {
KERNEL_LOG(KERNEL_ERROR,
"Failed to check repeatTime value in InitConstValue, its valid range is 0 ~ 32767, current value is %u",
repeatTime);
});
ASCENDC_ASSERT((blockNum <= validRange), {
KERNEL_LOG(KERNEL_ERROR,
"Failed to check blockNum value in InitConstValue, its valid range is 0 ~ 32767, current value is %u",
blockNum);
});
ASCENDC_ASSERT((dstGap <= validRange), {
KERNEL_LOG(KERNEL_ERROR,
"Failed to check dstGap value in InitConstValue, its valid range is 0 ~ 32767, current value is %u",
dstGap);
});
}
* InitL1Buffer *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void InitL1BufferCal(__cbuf__ T *dst, const InitConstValueParams<T> &initConstValueParams)
{
CheckInitConstValueParams(initConstValueParams.repeatTimes, initConstValueParams.blockNum,
initConstValueParams.dstGap);
int64_t repeatBit = (static_cast<uint64_t>(initConstValueParams.blockNum) << 16) |
(static_cast<uint64_t>(initConstValueParams.dstGap) << 32) | initConstValueParams.repeatTimes;
if constexpr (IsSameType<T, bfloat16_t>::value) {
create_cbuf_matrix_bf16(dst, repeatBit, initConstValueParams.initValue);
} else if constexpr (IsSameType<T, uint32_t>::value || IsSameType<T, half>::value) {
create_cbuf_matrix(dst, repeatBit, (T)initConstValueParams.initValue);
} else if constexpr (IsSameType<T, int16_t>::value || IsSameType<T, uint16_t>::value) {
create_cbuf_matrix(dst, repeatBit, GetScalarBitcodeToHalf(initConstValueParams.initValue));
} else if constexpr (IsSameType<T, float>::value || IsSameType<T, int32_t>::value) {
create_cbuf_matrix(dst, repeatBit, static_cast<uint32_t>(GetScalarBitcodeValue(initConstValueParams.initValue)));
} else {
ASCENDC_ASSERT(
false, { KERNEL_LOG(KERNEL_ERROR, "InitConstValue doesn't support current data type on current device"); });
}
}
* InitL0ANzMatrix *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void InitL0ANzMatrixCal(__ca__ T *dst, const InitConstValueParams<T> &initConstValueParams)
{
CheckInitConstValueParams(initConstValueParams.repeatTimes, initConstValueParams.blockNum,
initConstValueParams.dstGap);
int64_t repeatBit = (static_cast<uint64_t>(initConstValueParams.blockNum) << 16) |
(static_cast<uint64_t>(initConstValueParams.dstGap) << 32) | initConstValueParams.repeatTimes;
if constexpr (IsSameType<T, bfloat16_t>::value) {
create_ca_matrix_bf16(dst, repeatBit, initConstValueParams.initValue);
} else if constexpr (IsSameType<T, uint32_t>::value || IsSameType<T, half>::value) {
create_ca_matrix(dst, repeatBit, (T)initConstValueParams.initValue);
} else if constexpr (IsSameType<T, int16_t>::value || IsSameType<T, uint16_t>::value) {
create_ca_matrix(dst, repeatBit, GetScalarBitcodeToHalf(initConstValueParams.initValue));
} else if constexpr (IsSameType<T, float>::value || IsSameType<T, int32_t>::value) {
create_ca_matrix(dst, repeatBit, static_cast<uint32_t>(GetScalarBitcodeValue(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)
{
CheckInitConstValueParams(initConstValueParams.repeatTimes, initConstValueParams.blockNum,
initConstValueParams.dstGap);
int64_t repeatBit = (static_cast<uint64_t>(initConstValueParams.blockNum) << 16) |
(static_cast<uint64_t>(initConstValueParams.dstGap) << 32) | initConstValueParams.repeatTimes;
if constexpr (IsSameType<T, bfloat16_t>::value) {
create_cb_matrix_bf16(dst, repeatBit, initConstValueParams.initValue);
} else if constexpr (IsSameType<T, uint32_t>::value || IsSameType<T, half>::value) {
create_cb_matrix(dst, repeatBit, (T)initConstValueParams.initValue);
} else if constexpr (IsSameType<T, int16_t>::value || IsSameType<T, uint16_t>::value) {
create_cb_matrix(dst, repeatBit, GetScalarBitcodeToHalf(initConstValueParams.initValue));
} else if constexpr (IsSameType<T, float>::value || IsSameType<T, int32_t>::value) {
create_cb_matrix(dst, repeatBit, static_cast<uint32_t>(GetScalarBitcodeValue(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)
{
uint64_t rptConfig = static_cast<uint64_t>(repeatParams.repeatStride) | (static_cast<uint64_t>(repeatParams.repeatTime) << 16) |
(static_cast<uint64_t>(repeatParams.repeatMode) << 24);
set_l3d_rpt(rptConfig);
}
* 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)
{
static_assert(SupportType<T, int8_t, half>(),
"Failed to check the datatype, LoadImageToLocal support types are int8_t/half");
load_image_to_cbuf(dst,
static_cast<uint16_t>(loadDataParams.horizSize - 1),
static_cast<uint16_t>(loadDataParams.vertSize - 1),
loadDataParams.horizStartPos,
loadDataParams.vertStartPos,
static_cast<uint16_t>(loadDataParams.srcHorizSize - 1),
loadDataParams.topPadSize,
loadDataParams.botPadSize,
loadDataParams.leftPadSize,
loadDataParams.rightPadSize,
loadDataParams.sid);
}
* LoadDataUnzip *
* ************************************************************************************************* */
template <typename T>
__aicore__ inline void LoadDataUnzipToL1Cal(__cbuf__ T *dst, __gm__ T *src)
{
ASCENDC_ASSERT(false, {
KERNEL_LOG(KERNEL_ERROR, "current device don't support LoadDataUnzip");
});
}
template <typename T>
__aicore__ inline void LoadDataUnzipToL0BCal(__cb__ T *dst, __gm__ T *src)
{
ASCENDC_ASSERT(false, {
KERNEL_LOG(KERNEL_ERROR, "current device don't support LoadDataUnzip");
});
}
template <typename T>
__aicore__ inline void LoadDataUnzipToL0ACal(__ca__ T *dst, __gm__ T *src)
{
ASCENDC_ASSERT(false, {
KERNEL_LOG(KERNEL_ERROR, "current device don't support 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
