/**
* 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.
*/
#include "../iterator.h"
constexpr uint32_t BLOCK_NUM = 16;
constexpr uint32_t BLOCK_SIZE_INT8 = 32;
template <>
struct l0c_to_gm<ArchType::ASCEND_V220, DataFormat::ND, half, float> {
/**
* @brief Copy data from L0C buffer to global memory, partial specialized for
*
* @param gmTensor the destination tensor on global memory, which is stored in ND format.
* @param l0cTensor the source tensor on L0C buffer, which is stored in FRACTAL_NZ format.
* @param mTileActual the m-direction size of the matrix in L0C buffer.
* @param nTileActual the n-direction size of the matrix in L0C buffer.
* @param srcStride the source stride between the adjacent fractal matrics along n-direction in unit of C0_SIZE.
* @param dstStride the leading dimension of the destination matrix in unit of element.
*/
__aicore__ l0c_to_gm(AscendC::GlobalTensor<half> gmTensor,
AscendC::LocalTensor<float> l0cTensor,
uint32_t mTileActual,
uint32_t nTileActual,
uint32_t srcStride,
uint32_t dstStride)
{
#ifdef __DAV_C220_CUBE__
auto intriParams = AscendC::FixpipeParamsV220(nTileActual, // nSize
mTileActual, // mSize
srcStride, // srcStride
dstStride, // dstStride
false); // enRelu
intriParams.quantPre = QuantMode_t::F322F16;
AscendC::Fixpipe<half, float, AscendC::CFG_ROW_MAJOR>(gmTensor, l0cTensor, intriParams);
#else
AscendC::FixpipeParams<float> intriParams(
(nTileActual + BLOCK_NUM - 1) / AscendC::BLOCK_CUBE,
static_cast<uint16_t>(mTileActual * BLOCK_NUM * sizeof(float) / BLOCK_SIZE_INT8),
0,
dstStride);
intriParams.nz2ndParams = {true, 1, 0, 0, static_cast<uint16_t>(nTileActual)};
intriParams.quantParams = {QuantMode_t::F322F16};
AscendC::Fixpipe(gmTensor, l0cTensor, intriParams);
#endif
};
};
template <>
struct l0c_to_gm<ArchType::ASCEND_V220, DataFormat::ND, half, int32_t> {
__aicore__ l0c_to_gm(AscendC::GlobalTensor<half> gmTensor,
AscendC::LocalTensor<int32_t> l0cTensor,
uint32_t mTileActual,
uint32_t nTileActual,
uint32_t srcStride,
uint32_t dstStride)
{
#ifdef __DAV_C220_CUBE__
auto intriParams = AscendC::FixpipeParamsV220(nTileActual, // nSize
mTileActual, // mSize
srcStride, // srcStride
dstStride, // dstStride
false); // enRelu
intriParams.quantPre = QuantMode_t::VDEQF16;
AscendC::Fixpipe<half, int32_t, AscendC::CFG_ROW_MAJOR>(gmTensor, l0cTensor, intriParams);
#else
AscendC::FixpipeParams<int32_t> intriParams(
(nTileActual + BLOCK_NUM - 1) / AscendC::BLOCK_CUBE,
static_cast<uint16_t>(mTileActual * BLOCK_NUM * sizeof(float) / BLOCK_SIZE_INT8),
0,
dstStride);
intriParams.nz2ndParams = {true, 1, 0, 0, static_cast<uint16_t>(nTileActual)};
intriParams.quantParams = {QuantMode_t::VDEQF16};
AscendC::Fixpipe(gmTensor, l0cTensor, intriParams);
#endif
};
};
template <>
struct l0c_to_gm<ArchType::ASCEND_V220, DataFormat::ND, __bf16, float> {
__aicore__ l0c_to_gm(AscendC::GlobalTensor<__bf16> gmTensor,
AscendC::LocalTensor<float> l0cTensor,
uint32_t mTileActual,
uint32_t nTileActual,
uint32_t srcStride,
uint32_t dstStride)
{
#ifdef __DAV_C220_CUBE__
auto intriParams = AscendC::FixpipeParamsV220(nTileActual, // nSize
mTileActual, // mSize
srcStride, // srcStride
dstStride, // dstStride
false); // enRelu
intriParams.quantPre = QuantMode_t::F322BF16;
AscendC::Fixpipe<__bf16, float, AscendC::CFG_ROW_MAJOR>(gmTensor, l0cTensor, intriParams);
#else
AscendC::FixpipeParams<float> intriParams(
(nTileActual + BLOCK_NUM - 1) / AscendC::BLOCK_CUBE,
static_cast<uint16_t>(mTileActual * BLOCK_NUM * sizeof(float) / BLOCK_SIZE_INT8),
0,
dstStride);
intriParams.nz2ndParams = {true, 1, 0, 0, static_cast<uint16_t>(nTileActual)};
intriParams.quantParams = {QuantMode_t::F322BF16};
AscendC::Fixpipe(gmTensor, l0cTensor, intriParams);
#endif
};
};
// Partial specialization ND, float
template <>
struct l0c_to_gm<ArchType::ASCEND_V220, DataFormat::ND, float, float> {
__aicore__ l0c_to_gm(AscendC::GlobalTensor<float> gmTensor,
AscendC::LocalTensor<float> l0cTensor,
uint32_t mTileActual,
uint32_t nTileActual,
uint32_t srcStride,
uint32_t dstStride)
{
#ifdef __DAV_C220_CUBE__
auto intriParams = AscendC::FixpipeParamsV220(nTileActual, // nSize
mTileActual, // mSize
srcStride, // srcStride
dstStride, // dstStride
false); // enRelu
intriParams.quantPre = QuantMode_t::NoQuant;
AscendC::Fixpipe<float, float, AscendC::CFG_ROW_MAJOR>(gmTensor, l0cTensor, intriParams);
#else
AscendC::FixpipeParams<float> intriParams(
(nTileActual + BLOCK_NUM - 1) / AscendC::BLOCK_CUBE,
static_cast<uint16_t>(mTileActual * BLOCK_NUM * sizeof(float) / BLOCK_SIZE_INT8),
0,
dstStride);
intriParams.nz2ndParams = {true, 1, 0, 0, static_cast<uint16_t>(nTileActual)};
intriParams.quantParams = {QuantMode_t::NoQuant};
AscendC::Fixpipe(gmTensor, l0cTensor, intriParams);
#endif
};
};
template <>
struct l0c_to_gm<ArchType::ASCEND_V220, DataFormat::NZ, half, float> {
__aicore__ l0c_to_gm(AscendC::GlobalTensor<half> gmTensor,
AscendC::LocalTensor<float> l0cTensor,
uint32_t mTileActual,
uint32_t nTileActual,
uint32_t srcStride,
uint32_t dstStride)
{
#ifdef __DAV_C220_CUBE__
auto intriParams = AscendC::FixpipeParamsV220(nTileActual, // nSize
mTileActual, // mSize
srcStride, // srcStride
dstStride, // dstStride
false); // enRelu
intriParams.quantPre = QuantMode_t::F322F16;
AscendC::Fixpipe<half, float, AscendC::CFG_NZ>(gmTensor, l0cTensor, intriParams);
#else
AscendC::FixpipeParams<float> intriParams(
(nTileActual + BLOCK_NUM - 1) / AscendC::BLOCK_CUBE,
static_cast<uint16_t>(mTileActual * BLOCK_NUM * sizeof(float) / BLOCK_SIZE_INT8),
0,
dstStride - (nTileActual * sizeof(half) / sizeof(float)));
intriParams.quantParams = {QuantMode_t::F322F16};
AscendC::Fixpipe(gmTensor, l0cTensor, intriParams);
#endif
};
};
template <>
struct l0c_to_gm<ArchType::ASCEND_V220, DataFormat::ND, int32_t, int32_t> {
__aicore__ l0c_to_gm(AscendC::GlobalTensor<int32_t> gmTensor,
AscendC::LocalTensor<int32_t> l0cTensor,
uint32_t mTileActual,
uint32_t nTileActual,
uint32_t srcStride,
uint32_t dstStride)
{
#ifdef __DAV_C220_CUBE__
auto intriParams = AscendC::FixpipeParamsV220(nTileActual, // nSize
mTileActual, // mSize
srcStride, // srcStride
dstStride, // dstStride
false); // enRelu
intriParams.quantPre = QuantMode_t::NoQuant;
AscendC::Fixpipe<int32_t, int32_t, AscendC::CFG_ROW_MAJOR>(gmTensor, l0cTensor, intriParams);
#endif
};
};
