214 lines
9.6 KiB
C++
214 lines
9.6 KiB
C++
/**
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* Copyright (c) 2025 Huawei Technologies Co., Ltd.
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* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
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* CANN Open Software License Agreement Version 2.0 (the "License").
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* Please refer to the License for details. You may not use this file except in compliance with the License.
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* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
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* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
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* See LICENSE in the root of the software repository for the full text of the License.
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*/
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/*!
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* \file l0c_to_gm_iterator.h
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* \brief
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*/
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#ifndef L0C_TO_GM_ITERATOR_H
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#define L0C_TO_GM_ITERATOR_H
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#ifdef __CCE_KT_TEST__
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#define __bf16 bfloat16_t
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#endif
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#include "iterator.h"
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constexpr uint32_t BLOCK_NUM = 16;
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constexpr uint32_t BLOCK_SIZE_INT8 = 32;
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template <>
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struct l0c_to_gm<ArchType::ASCEND_V220, DataFormatT::ND, half, float> {
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/**
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* @brief Copy data from L0C buffer to global memory, partial specialized for
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*
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* @param gmTensor the destination tensor on global memory, which is stored in ND format.
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* @param l0cTensor the source tensor on L0C buffer, which is stored in FRACTAL_NZ format.
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* @param mTileActual the m-direction size of the matrix in L0C buffer.
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* @param nTileActual the n-direction size of the matrix in L0C buffer.
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* @param srcStride the source stride between the adjacent fractal matrices along n-direction in unit of C0_SIZE.
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* @param dstStride the leading dimension of the destination matrix in unit of element.
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*/
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__aicore__ l0c_to_gm(AscendC::GlobalTensor<half> gmTensor,
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AscendC::LocalTensor<float> l0cTensor,
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uint32_t mTileActual,
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uint32_t nTileActual,
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uint32_t srcStride,
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uint32_t dstStride)
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{
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#ifdef __DAV_C220_CUBE__
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auto intriParams = AscendC::FixpipeParamsV220(nTileActual, // nSize
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mTileActual, // mSize
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srcStride, // srcStride
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dstStride, // dstStride
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false); // enRelu
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intriParams.quantPre = QuantMode_t::F322F16;
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AscendC::Fixpipe<half, float, AscendC::CFG_ROW_MAJOR>(gmTensor, l0cTensor, intriParams);
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#else
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AscendC::FixpipeParams<float> intriParams(
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(nTileActual + BLOCK_NUM - 1) / AscendC::BLOCK_CUBE,
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static_cast<uint16_t>(mTileActual * BLOCK_NUM * sizeof(float) / BLOCK_SIZE_INT8),
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0,
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dstStride);
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intriParams.nz2ndParams = {true, 1, 0, 0, static_cast<uint16_t>(nTileActual)};
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intriParams.quantParams = {QuantMode_t::F322F16};
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AscendC::Fixpipe(gmTensor, l0cTensor, intriParams);
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#endif
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};
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};
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template <>
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struct l0c_to_gm<ArchType::ASCEND_V220, DataFormatT::ND, half, int32_t> {
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__aicore__ l0c_to_gm(AscendC::GlobalTensor<half> gmTensor,
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AscendC::LocalTensor<int32_t> l0cTensor,
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uint32_t mTileActual,
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uint32_t nTileActual,
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uint32_t srcStride,
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uint32_t dstStride)
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{
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#ifdef __DAV_C220_CUBE__
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auto intriParams = AscendC::FixpipeParamsV220(nTileActual, // nSize
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mTileActual, // mSize
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srcStride, // srcStride
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dstStride, // dstStride
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false); // enRelu
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intriParams.quantPre = QuantMode_t::VDEQF16;
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AscendC::Fixpipe<half, int32_t, AscendC::CFG_ROW_MAJOR>(gmTensor, l0cTensor, intriParams);
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#else
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AscendC::FixpipeParams<int32_t> intriParams(
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(nTileActual + BLOCK_NUM - 1) / AscendC::BLOCK_CUBE,
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static_cast<uint16_t>(mTileActual * BLOCK_NUM * sizeof(float) / BLOCK_SIZE_INT8),
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0,
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dstStride);
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intriParams.nz2ndParams = {true, 1, 0, 0, static_cast<uint16_t>(nTileActual)};
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intriParams.quantParams = {QuantMode_t::VDEQF16};
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AscendC::Fixpipe(gmTensor, l0cTensor, intriParams);
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#endif
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};
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};
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template <>
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struct l0c_to_gm<ArchType::ASCEND_V220, DataFormatT::ND, __bf16, float> {
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__aicore__ l0c_to_gm(AscendC::GlobalTensor<__bf16> gmTensor,
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AscendC::LocalTensor<float> l0cTensor,
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uint32_t mTileActual,
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uint32_t nTileActual,
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uint32_t srcStride,
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uint32_t dstStride)
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{
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#ifdef __DAV_C220_CUBE__
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auto intriParams = AscendC::FixpipeParamsV220(nTileActual, // nSize
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mTileActual, // mSize
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srcStride, // srcStride
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dstStride, // dstStride
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false); // enRelu
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intriParams.quantPre = QuantMode_t::F322BF16;
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AscendC::Fixpipe<__bf16, float, AscendC::CFG_ROW_MAJOR>(gmTensor, l0cTensor, intriParams);
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#else
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AscendC::FixpipeParams<float> intriParams(
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(nTileActual + BLOCK_NUM - 1) / AscendC::BLOCK_CUBE,
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static_cast<uint16_t>(mTileActual * BLOCK_NUM * sizeof(float) / BLOCK_SIZE_INT8),
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0,
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dstStride);
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intriParams.nz2ndParams = {true, 1, 0, 0, static_cast<uint16_t>(nTileActual)};
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intriParams.quantParams = {QuantMode_t::F322BF16};
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AscendC::Fixpipe(gmTensor, l0cTensor, intriParams);
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#endif
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};
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};
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// Partial specialization ND, float
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template <>
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struct l0c_to_gm<ArchType::ASCEND_V220, DataFormatT::ND, float, float> {
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__aicore__ l0c_to_gm(AscendC::GlobalTensor<float> gmTensor,
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AscendC::LocalTensor<float> l0cTensor,
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uint32_t mTileActual,
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uint32_t nTileActual,
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uint32_t srcStride,
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uint32_t dstStride)
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{
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#ifdef __DAV_C220_CUBE__
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auto intriParams = AscendC::FixpipeParamsV220(nTileActual, // nSize
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mTileActual, // mSize
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srcStride, // srcStride
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dstStride, // dstStride
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false); // enRelu
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intriParams.quantPre = QuantMode_t::NoQuant;
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AscendC::Fixpipe<float, float, AscendC::CFG_ROW_MAJOR>(gmTensor, l0cTensor, intriParams);
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#else
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AscendC::FixpipeParams<float> intriParams(
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(nTileActual + BLOCK_NUM - 1) / AscendC::BLOCK_CUBE,
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static_cast<uint16_t>(mTileActual * BLOCK_NUM * sizeof(float) / BLOCK_SIZE_INT8),
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0,
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dstStride);
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intriParams.nz2ndParams = {true, 1, 0, 0, static_cast<uint16_t>(nTileActual)};
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intriParams.quantParams = {QuantMode_t::NoQuant};
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AscendC::Fixpipe(gmTensor, l0cTensor, intriParams);
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#endif
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};
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};
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template <>
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struct l0c_to_gm<ArchType::ASCEND_V220, DataFormatT::NZ, half, float> {
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__aicore__ l0c_to_gm(AscendC::GlobalTensor<half> gmTensor,
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AscendC::LocalTensor<float> l0cTensor,
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uint32_t mTileActual,
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uint32_t nTileActual,
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uint32_t srcStride,
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uint32_t dstStride)
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{
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#ifdef __DAV_C220_CUBE__
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auto intriParams = AscendC::FixpipeParamsV220(nTileActual, // nSize
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mTileActual, // mSize
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srcStride, // srcStride
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dstStride, // dstStride
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false); // enRelu
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intriParams.quantPre = QuantMode_t::F322F16;
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AscendC::Fixpipe<half, float, AscendC::CFG_NZ>(gmTensor, l0cTensor, intriParams);
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#else
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AscendC::FixpipeParams<float> intriParams(
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(nTileActual + BLOCK_NUM - 1) / AscendC::BLOCK_CUBE,
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static_cast<uint16_t>(mTileActual * BLOCK_NUM * sizeof(float) / BLOCK_SIZE_INT8),
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0,
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dstStride - (nTileActual * sizeof(half) / sizeof(float)));
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intriParams.quantParams = {QuantMode_t::F322F16};
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AscendC::Fixpipe(gmTensor, l0cTensor, intriParams);
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#endif
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};
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};
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template <>
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struct l0c_to_gm<ArchType::ASCEND_V220, DataFormatT::ND, int32_t, int32_t> {
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__aicore__ l0c_to_gm(AscendC::GlobalTensor<int32_t> gmTensor,
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AscendC::LocalTensor<int32_t> l0cTensor,
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uint32_t mTileActual,
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uint32_t nTileActual,
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uint32_t srcStride,
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uint32_t dstStride){
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#ifdef __DAV_C220_CUBE__
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auto intriParams = AscendC::FixpipeParamsV220(nTileActual, // nSize
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mTileActual, // mSize
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srcStride, // srcStride
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dstStride, // dstStride
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false); // enRelu
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intriParams.quantPre = QuantMode_t::NoQuant;
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AscendC::Fixpipe<int32_t, int32_t, AscendC::CFG_ROW_MAJOR>(gmTensor, l0cTensor, intriParams);
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#endif
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};
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};
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#endif // L0C_TO_GM_ITERATOR_H
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