79 lines
3.2 KiB
C++
79 lines
3.2 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 mma.h
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* \brief
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*/
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#ifndef INCLUDE_MMA_H
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#define INCLUDE_MMA_H
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#include "hardware.h"
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#include "kernel_tensor.h"
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template <ArchType ArchTag, typename ElementA, typename ElementB, typename AccDTypeC, bool IsTransposeA>
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struct mmad {
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__aicore__ mmad(AscendC::LocalTensor<AccDTypeC> l0cTensor,
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AscendC::LocalTensor<ElementA> l0aTensor,
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AscendC::LocalTensor<ElementB> l0bTensor,
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uint32_t mTileActual,
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uint32_t nTileActual,
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uint32_t kPartActual,
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bool initC) {};
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__aicore__ mmad(AscendC::LocalTensor<AccDTypeC> l0cTensor,
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AscendC::LocalTensor<ElementA> l0aTensor,
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AscendC::LocalTensor<ElementB> l0bTensor,
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uint64_t biasBt,
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uint32_t mTileActual,
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uint32_t nTileActual,
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uint32_t kPartActual,
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bool initC) {};
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};
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// Partial specialization for V220, int8_t, not_vector_A, not TransposeA
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template <ArchType ArchTag, typename AccDTypeC, typename ElementA, typename ElementB>
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struct mmad<ArchTag, ElementA, ElementB, AccDTypeC, false> {
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__aicore__ mmad(AscendC::LocalTensor<AccDTypeC> l0cTensor,
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AscendC::LocalTensor<ElementA> l0aTensor,
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AscendC::LocalTensor<ElementB> l0bTensor,
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uint32_t mTileActual,
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uint32_t nTileActual,
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uint32_t kPartActual,
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bool initC)
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{
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AscendC::Mmad(l0cTensor,
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l0aTensor,
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l0bTensor,
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AscendC::MmadParams(mTileActual, nTileActual, kPartActual, 0, false, initC));
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};
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__aicore__ mmad(AscendC::LocalTensor<AccDTypeC> l0cTensor,
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AscendC::LocalTensor<ElementA> l0aTensor,
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AscendC::LocalTensor<ElementB> l0bTensor,
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uint64_t biasBt,
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uint32_t mTileActual,
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uint32_t nTileActual,
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uint32_t kPartActual,
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bool initC)
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{
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AscendC::LocalTensor<ElementA> biasTensor;
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biasTensor.InitBuffer(biasBt, mTileActual);
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biasTensor.address_.logicPos = static_cast<uint8_t>(AscendC::TPosition::C2);
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AscendC::Mmad(l0cTensor,
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l0aTensor,
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l0bTensor,
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biasTensor,
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AscendC::MmadParams(mTileActual, nTileActual, kPartActual, 0, false, initC));
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};
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};
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#endif |