259 lines
14 KiB
C
259 lines
14 KiB
C
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/**
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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 l1_to_l0_iterator.h
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* \brief
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*/
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#ifndef L1_TO_L0_ITERATOR_H
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#define L1_TO_L0_ITERATOR_H
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#include "iterator.h"
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/////////////////////////////////////////////////////
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// l1_to_l0_a
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/////////////////////////////////////////////////////
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// Partial specialization for vector
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template <ArchType ArchTag, typename DataType, bool IsTransPose>
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struct l1_to_l0_a<ArchTag, DataType, IsTransPose, DataFormatT::VECTOR, DataFormatT::VECTOR> {
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using HardwareParams = HardwareInfo<ArchTag>;
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static constexpr uint32_t FRACTAL_SIZE = HardwareParams::fractalSize / sizeof(DataType);
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__aicore__ l1_to_l0_a(AscendC::LocalTensor<DataType> l0Tensor,
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AscendC::LocalTensor<DataType> l1Tensor,
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uint32_t mTileCeil,
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uint32_t kPartCeil,
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uint32_t mSrcStride,
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uint32_t kSrcStride,
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uint32_t mDstStride,
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uint32_t kDstStride)
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{
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AscendC::LoadData(l0Tensor,
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l1Tensor,
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AscendC::LoadData2dParams(0, // baseIdx
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kPartCeil, // repeat
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kSrcStride, // srcStride
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0, // sid
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kDstStride, // dstStride
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IsTransPose, // transpose
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0)); // addrCalMode
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};
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};
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// Partial specialization for no transpose, not vector
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template <ArchType ArchTag, typename DataType>
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struct l1_to_l0_a<ArchTag, DataType, false, DataFormatT::ZN, DataFormatT::ZZ> {
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using HardwareParams = HardwareInfo<ArchTag>;
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static constexpr uint32_t BLOCK_SIZE = HardwareParams::l1l0BlockSize / sizeof(DataType);
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static constexpr uint32_t FRACTAL_SIZE = HardwareParams::fractalSize / sizeof(DataType);
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static constexpr uint32_t BLOCK_NUM_PER_FRACTAL = HardwareParams::fractalSize / HardwareParams::l1l0BlockSize;
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__aicore__ l1_to_l0_a(AscendC::LocalTensor<DataType> l0Tensor,
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AscendC::LocalTensor<DataType> l1Tensor,
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uint32_t mTileCeil,
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uint32_t kPartCeil,
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uint32_t mSrcStride,
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uint32_t kSrcStride,
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uint32_t mDstStride,
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uint32_t kDstStride)
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{
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for (uint32_t i = 0; i < mTileCeil / BLOCK_NUM_PER_FRACTAL; i++) {
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AscendC::LoadData(l0Tensor[i * mDstStride * FRACTAL_SIZE],
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l1Tensor[i * mSrcStride * FRACTAL_SIZE],
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AscendC::LoadData2dParams(0, // baseIdx
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static_cast<uint16_t>(kPartCeil / BLOCK_SIZE), // repeat
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kSrcStride, // srcStride
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0, // sid
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kDstStride - 1, // dstStride
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false, // transpose
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0)); // addrCalMode
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}
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};
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};
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// Partial specialization for transpose, not vector
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template <ArchType ArchTag, typename DataType>
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struct l1_to_l0_a<ArchTag, DataType, true, DataFormatT::ZN, DataFormatT::ZZ> {
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using HardwareParams = HardwareInfo<ArchTag>;
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static constexpr uint32_t BLOCK_SIZE = HardwareParams::l1l0BlockSize / sizeof(DataType);
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static constexpr uint32_t FRACTAL_SIZE = HardwareParams::fractalSize / sizeof(DataType);
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static constexpr uint32_t BLOCK_NUM_PER_FRACTAL = HardwareParams::fractalSize / HardwareParams::l1l0BlockSize;
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__aicore__ l1_to_l0_a(AscendC::LocalTensor<DataType> l0Tensor,
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AscendC::LocalTensor<DataType> l1Tensor,
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uint32_t mTileCeil,
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uint32_t kPartCeil,
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uint32_t mSrcStride,
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uint32_t kSrcStride,
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uint32_t mDstStride,
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uint32_t kDstStride)
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{
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for (uint32_t i = 0; i < mTileCeil / BLOCK_SIZE; i++) {
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AscendC::LoadData(l0Tensor[i * mDstStride * FRACTAL_SIZE],
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l1Tensor[i * mSrcStride * FRACTAL_SIZE],
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AscendC::LoadData2dParams(0,
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static_cast<uint16_t>(kPartCeil / BLOCK_NUM_PER_FRACTAL),
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kSrcStride,
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0,
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kDstStride - 1,
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true,
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0));
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}
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};
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};
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template <ArchType ArchTag, typename DataType>
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struct l1_to_l0_a<ArchTag, DataType, false, DataFormatT::NZ, DataFormatT::ZZ> {
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using HardwareParams = HardwareInfo<ArchTag>;
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// 16 * 32
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static constexpr uint32_t ROW_BLOCK_SIZE = 16;
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static constexpr uint32_t COL_BLOCK_SIZE = 32 / sizeof(DataType);
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static constexpr uint32_t FRACTAL_SIZE = HardwareParams::fractalSize / sizeof(DataType);
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static constexpr uint32_t BLOCK_NUM_PER_FRACTAL = HardwareParams::fractalSize / HardwareParams::l1l0BlockSize;
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__aicore__ l1_to_l0_a(AscendC::LocalTensor<DataType> l0Tensor,
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AscendC::LocalTensor<DataType> l1Tensor,
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uint32_t mTileCeil,
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uint32_t kPartCeil,
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uint32_t mSrcStride,
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uint32_t kSrcStride,
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uint32_t mDstStride,
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uint32_t kDstStride)
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{
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for (uint32_t i = 0; i < mTileCeil / ROW_BLOCK_SIZE; i++) {
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AscendC::LoadData(l0Tensor[i * ROW_BLOCK_SIZE * kPartCeil],
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l1Tensor[i * FRACTAL_SIZE],
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AscendC::LoadData2dParams(0,
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static_cast<uint16_t>(kPartCeil / COL_BLOCK_SIZE),
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mTileCeil / ROW_BLOCK_SIZE,
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0,
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0,
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false,
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0));
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}
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};
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};
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/////////////////////////////////////////////////////
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// l1_to_l0_b
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/////////////////////////////////////////////////////
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// Partial specialization for vector
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template <ArchType ArchTag, typename DataType, bool IsTransPose>
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struct l1_to_l0_b<ArchTag, DataType, IsTransPose, DataFormatT::VECTOR, DataFormatT::VECTOR> {
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using HardwareParams = HardwareInfo<ArchTag>;
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static constexpr uint32_t FRACTAL_SIZE = HardwareParams::fractalSize / sizeof(DataType);
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__aicore__ l1_to_l0_b(AscendC::LocalTensor<DataType> l0Tensor,
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AscendC::LocalTensor<DataType> l1Tensor,
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uint32_t nTileCeil,
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uint32_t kPartCeil,
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uint32_t nSrcStride,
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uint32_t kSrcStride,
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uint32_t nDstStride,
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uint32_t kDstStride)
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{
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AscendC::LoadData(
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l0Tensor, l1Tensor, AscendC::LoadData2dParams(0, kPartCeil, kSrcStride, 0, kDstStride, IsTransPose, 0));
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};
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};
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template <ArchType ArchTag>
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struct l1_to_l0_b<ArchTag, int8_t, true, DataFormatT::NZ, DataFormatT::ZN> {
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using HardwareParams = HardwareInfo<ArchTag>;
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using DataType = int8_t;
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static constexpr uint32_t BLOCK_SIZE = HardwareParams::l1l0BlockSize / sizeof(DataType);
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__aicore__ l1_to_l0_b(AscendC::LocalTensor<DataType> l0Tensor,
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AscendC::LocalTensor<DataType> l1Tensor,
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uint32_t nTileCeil,
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uint32_t kPartCeil,
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uint32_t nSrcStride,
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uint32_t kSrcStride,
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uint32_t nDstStride,
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uint32_t kDstStride)
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{
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for (uint32_t i = 0; i < nTileCeil / BLOCK_SIZE; i++) {
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AscendC::LoadDataWithTranspose(l0Tensor[i * kPartCeil * BLOCK_SIZE],
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l1Tensor[i * BLOCK_SIZE * BLOCK_SIZE],
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AscendC::LoadData2dTransposeParams(0, // startIndexIn
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kPartCeil / BLOCK_SIZE, // repeatTimesIn
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nTileCeil / BLOCK_SIZE, // srcStrideIn
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1, // dstGapIn
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0, // dstfracGapIn
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0) // addrModeIn
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);
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}
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};
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};
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// Partial specialization for no transpose, not vector
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template <ArchType ArchTag, typename DataType>
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struct l1_to_l0_b<ArchTag, DataType, false, DataFormatT::ZN, DataFormatT::NZ> {
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using HardwareParams = HardwareInfo<ArchTag>;
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static constexpr uint32_t BLOCK_SIZE = HardwareParams::l1l0BlockSize / sizeof(DataType);
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static constexpr uint32_t FRACTAL_SIZE = HardwareParams::fractalSize / sizeof(DataType);
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static constexpr uint32_t BLOCK_NUM_PER_FRACTAL = HardwareParams::fractalSize / HardwareParams::l1l0BlockSize;
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__aicore__ l1_to_l0_b(AscendC::LocalTensor<DataType> l0Tensor,
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AscendC::LocalTensor<DataType> l1Tensor,
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uint32_t nTileCeil,
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uint32_t kPartCeil,
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uint32_t nSrcStride,
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uint32_t kSrcStride,
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uint32_t nDstStride,
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uint32_t kDstStride)
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{
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for (uint32_t i = 0; i < kPartCeil / BLOCK_NUM_PER_FRACTAL; i++) {
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AscendC::LoadData(l0Tensor[i * kDstStride * FRACTAL_SIZE],
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l1Tensor[i * kSrcStride * FRACTAL_SIZE],
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AscendC::LoadData2dParams(0, // baseIdx
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static_cast<uint16_t>(nTileCeil / BLOCK_SIZE), // repeat
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nSrcStride, // srcStride
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0, // sid
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nDstStride - 1, // dstStride
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true, // transpose
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0)); // addrCalMode
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}
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};
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};
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// Partial specialization for transpose, not vector
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template <ArchType ArchTag, typename DataType>
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struct l1_to_l0_b<ArchTag, DataType, true, DataFormatT::ZN, DataFormatT::NZ> {
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using HardwareParams = HardwareInfo<ArchTag>;
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static constexpr uint32_t BLOCK_SIZE = HardwareParams::l1l0BlockSize / sizeof(DataType);
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static constexpr uint32_t FRACTAL_SIZE = HardwareParams::fractalSize / sizeof(DataType);
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static constexpr uint32_t BLOCK_NUM_PER_FRACTAL = HardwareParams::fractalSize / HardwareParams::l1l0BlockSize;
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__aicore__ l1_to_l0_b(AscendC::LocalTensor<DataType> l0Tensor,
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AscendC::LocalTensor<DataType> l1Tensor,
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uint32_t nTileCeil,
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uint32_t kPartCeil,
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uint32_t nSrcStride,
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uint32_t kSrcStride,
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uint32_t nDstStride,
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uint32_t kDstStride)
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{
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AscendC::LoadData(
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l0Tensor,
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l1Tensor,
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AscendC::LoadData2dParams(0, // baseIdx
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static_cast<uint16_t>(kPartCeil * nTileCeil / FRACTAL_SIZE), // repeat
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1, // srcStride
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0, // sid
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0, // dstStride
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false, // transpose
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0)); // addr_cal_mode_t
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};
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};
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#endif // L1_TO_L0_ITERATOR_H
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