/*  Adapted from
 *      https://gitee.com/ascend/ascend-transformer-boost.git
 *
 * Copyright (c) 2024 Huawei Technologies Co., Ltd.
 * This file is a part of the CANN Open Software.
 * Licensed under CANN Open Software License Agreement Version 1.0 (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.
 */
#ifndef INCLUDE_MMA_H
#define INCLUDE_MMA_H

#include "hardware.h"
#include "kernel_tensor.h"

template <ArchType ArchTag, typename ElementA, typename ElementB, typename AccDTypeC, bool IsTransposeA>
struct mmad {
    __aicore__ mmad(AscendC::LocalTensor<AccDTypeC> l0cTensor, AscendC::LocalTensor<ElementA> l0aTensor,
                    AscendC::LocalTensor<ElementB> l0bTensor, uint32_t mTileActual, uint32_t nTileActual,
                    uint32_t kPartActual, bool initC, uint8_t unitFlag = 0) {};

    __aicore__ mmad(AscendC::LocalTensor<AccDTypeC> l0cTensor, AscendC::LocalTensor<ElementA> l0aTensor,
                    AscendC::LocalTensor<ElementB> l0bTensor, uint64_t biasBt, uint32_t mTileActual,
                    uint32_t nTileActual, uint32_t kPartActual, bool initC, uint8_t unitFlag = 0) {};
};

// Partial specialization for V220, int8_t, not_vector_A, not TransposeA
template <ArchType ArchTag, typename AccDTypeC, typename ElementA, typename ElementB>
struct mmad<ArchTag, ElementA, ElementB, AccDTypeC, false> {
    __aicore__ mmad(AscendC::LocalTensor<AccDTypeC> l0cTensor, AscendC::LocalTensor<ElementA> l0aTensor,
                    AscendC::LocalTensor<ElementB> l0bTensor, uint32_t mTileActual, uint32_t nTileActual,
                    uint32_t kPartActual, bool initC, uint8_t unitFlag = 0)
    {
        AscendC::Mmad(l0cTensor,                        // C
                      l0aTensor,                        // A
                      l0bTensor,                        // B
                      AscendC::MmadParams(mTileActual,  // m
                                          nTileActual,  // n
                                          kPartActual,  // k
                                          unitFlag,     // unitFlag
                                          false,        // cmatrixSource
                                          initC));      // cmatrixInitVal
    };

    __aicore__ mmad(AscendC::LocalTensor<AccDTypeC> l0cTensor, AscendC::LocalTensor<ElementA> l0aTensor,
                    AscendC::LocalTensor<ElementB> l0bTensor, uint64_t biasBt, uint32_t mTileActual,
                    uint32_t nTileActual, uint32_t kPartActual, bool initC, uint8_t unitFlag = 0)
    {
        AscendC::LocalTensor<AccDTypeC> biasTensor;
        biasTensor.InitBuffer(biasBt, nTileActual);
        biasTensor.address_.logicPos = static_cast<uint8_t>(AscendC::TPosition::C2);
        AscendC::Mmad(l0cTensor,                        // C
                      l0aTensor,                        // A
                      l0bTensor,                        // B
                      biasTensor,                       // bt
                      AscendC::MmadParams(mTileActual,  // m
                                          nTileActual,  // n
                                          kPartActual,  // k
                                          unitFlag,     // unitFlag
                                          true,         // cmatrixSource
                                          false));      // cmatrixInitVal
    };
};

#endif