// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2020 Everton Constantino (everton.constantino@ibm.com)
// Copyright (C) 2021 Chip Kerchner (chip.kerchner@ibm.com)
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.

#ifndef EIGEN_MATRIX_PRODUCT_MMA_ALTIVEC_H
#define EIGEN_MATRIX_PRODUCT_MMA_ALTIVEC_H

// If using dynamic dispatch, set the CPU target.
#if defined(EIGEN_ALTIVEC_MMA_DYNAMIC_DISPATCH)
#pragma GCC push_options
#pragma GCC target("cpu=power10,htm")
#endif

#ifdef __has_builtin
#if !__has_builtin(__builtin_vsx_assemble_pair)
#define __builtin_vsx_assemble_pair __builtin_mma_assemble_pair
#endif
#if !__has_builtin(__builtin_vsx_disassemble_pair)
#define __builtin_vsx_disassemble_pair __builtin_mma_disassemble_pair
#endif
#endif

#include "../../InternalHeaderCheck.h"

namespace Eigen {

namespace internal {

#define accColsC (accCols / 2)

EIGEN_ALWAYS_INLINE void bsetzeroMMA(__vector_quad* acc)
{
  __builtin_mma_xxsetaccz(acc);
}

template<typename DataMapper, typename Index, typename Packet, const Index accCols, const Index accCols2>
EIGEN_ALWAYS_INLINE void storeAccumulator(Index i, const DataMapper& data, const Packet& alpha, const Packet& pMask, __vector_quad* acc)
{
  PacketBlock<Packet, 4> result;
  __builtin_mma_disassemble_acc(&result.packet, acc);

  PacketBlock<Packet, 4> tRes;
  bload<DataMapper, Packet, Index, 0, ColMajor, false, 4>(tRes, data, i, 0);

  bscale<Packet, 4, (accCols != accCols2)>(tRes, result, alpha, pMask);

  bstore<DataMapper, Packet, Index, 4>(tRes, data, i);
}

template<typename DataMapper, typename Index, typename Packet, typename Packetc, const Index accCols, const Index accCols2>
EIGEN_ALWAYS_INLINE void storeComplexAccumulator(Index i, const DataMapper& data, const Packet& alphaReal, const Packet& alphaImag, const Packet& pMask, __vector_quad* accReal, __vector_quad* accImag)
{
  const bool full = (accCols2 > accColsC);
  PacketBlock<Packet, 4> resultReal, resultImag;
  __builtin_mma_disassemble_acc(&resultReal.packet, accReal);
  __builtin_mma_disassemble_acc(&resultImag.packet, accImag);

  PacketBlock<Packetc, 8> tRes;
  bload<DataMapper, Packetc, Index, accColsC, ColMajor, true, 4, full>(tRes, data, i, 0);

  PacketBlock<Packet, 4> taccReal, taccImag;
  bscalec<Packet, 4, (accCols != accCols2)>(resultReal, resultImag, alphaReal, alphaImag, taccReal, taccImag, pMask);

  PacketBlock<Packetc, 4> acc1, acc2;
  bcouple<Packet, Packetc, 4, full>(taccReal, taccImag, tRes, acc1, acc2);

  bstore<DataMapper, Packetc, Index, 4>(acc1, data, i);
  if (full) {
    bstore<DataMapper, Packetc, Index, 4>(acc2, data, i + accColsC);
  }
}

// Defaults to float32, since Eigen still supports C++03 we can't use default template arguments
template<typename LhsPacket, typename RhsPacket, bool NegativeAccumulate>
EIGEN_ALWAYS_INLINE void pgerMMA(__vector_quad* acc, const RhsPacket& a, const LhsPacket& b)
{
  if(NegativeAccumulate)
  {
    __builtin_mma_xvf32gernp(acc, (__vector unsigned char)a, (__vector unsigned char)b);
  } else {
    __builtin_mma_xvf32gerpp(acc, (__vector unsigned char)a, (__vector unsigned char)b);
  }
}

template<typename LhsPacket, typename RhsPacket, bool NegativeAccumulate>
EIGEN_ALWAYS_INLINE void pgerMMA(__vector_quad* acc, const __vector_pair& a, const Packet2d& b)
{
  if(NegativeAccumulate)
  {
    __builtin_mma_xvf64gernp(acc, (__vector_pair)a, (__vector unsigned char)b);
  } else {
    __builtin_mma_xvf64gerpp(acc, (__vector_pair)a, (__vector unsigned char)b);
  }
}

template<typename Packet, typename RhsPacket, bool ConjugateLhs, bool ConjugateRhs, bool LhsIsReal, bool RhsIsReal>
EIGEN_ALWAYS_INLINE void pgercMMA(__vector_quad* accReal, __vector_quad* accImag, const Packet& lhsV, Packet& lhsVi, const RhsPacket& rhsV, RhsPacket& rhsVi)
{
  pgerMMA<Packet, RhsPacket, false>(accReal,  rhsV,  lhsV);
  if(LhsIsReal) {
    pgerMMA<Packet, RhsPacket, ConjugateRhs>(accImag, rhsVi,  lhsV);
    EIGEN_UNUSED_VARIABLE(lhsVi);
  } else {
    if(!RhsIsReal) {
      pgerMMA<Packet, RhsPacket, ConjugateLhs == ConjugateRhs>(accReal, rhsVi, lhsVi);
      pgerMMA<Packet, RhsPacket, ConjugateRhs>(accImag, rhsVi,  lhsV);
    } else {
      EIGEN_UNUSED_VARIABLE(rhsVi);
    }
    pgerMMA<Packet, RhsPacket, ConjugateLhs>(accImag,  rhsV, lhsVi);
  }
}

// This is necessary because ploadRhs for double returns a pair of vectors when MMA is enabled.
template<typename Packet>
EIGEN_ALWAYS_INLINE Packet ploadRhs(const __UNPACK_TYPE__(Packet)* rhs)
{
  return ploadu<Packet>(rhs);
}

template<typename Scalar, typename Packet>
EIGEN_ALWAYS_INLINE void ploadRhsMMA(const Scalar* rhs, Packet& rhsV)
{
  rhsV = ploadRhs<Packet>(rhs);
} 

template<>
EIGEN_ALWAYS_INLINE void ploadRhsMMA(const double* rhs, __vector_pair& rhsV)
{
#if EIGEN_COMP_LLVM
  __builtin_vsx_assemble_pair(&rhsV,
    reinterpret_cast<__vector unsigned char>(ploadRhs<Packet2d>(rhs + (sizeof(Packet2d) / sizeof(double)))),
    reinterpret_cast<__vector unsigned char>(ploadRhs<Packet2d>(rhs)));
#else
  __asm__ ("lxvp %x0,%1" : "=wa" (rhsV) : "Y" (*rhs));
#endif
}

EIGEN_ALWAYS_INLINE void ploadLhsMMA(const double* lhs, __vector_pair& lhsV)
{
  ploadRhsMMA(lhs, lhsV);
}

// PEEL_MMA loop factor.
#define PEEL_MMA 7

#define MICRO_MMA_UNROLL(func) \
  func(0) func(1) func(2) func(3) func(4) func(5) func(6) func(7)

#define MICRO_MMA_WORK(func, type, peel) \
  func(0,type,peel) func(1,type,peel) func(2,type,peel) func(3,type,peel) \
  func(4,type,peel) func(5,type,peel) func(6,type,peel) func(7,type,peel)

#define MICRO_MMA_WORK_ONE(iter, type, peel) \
  if (unroll_factor > iter) { \
    pgerMMA<Packet, type, false>(&accZero##iter, rhsV##peel, lhsV##iter); \
  }

#define MICRO_MMA_WORK_TWO(iter, type, peel) \
  if (unroll_factor > iter) { \
    pgerMMA<Packet, type, false>(&accZero##iter, rhsV##peel, lhsV2##iter.packet[peel & 1]); \
  }

#define MICRO_MMA_LOAD1_TWO(lhs_ptr, iter) \
  if (unroll_factor > iter) { \
    if (MICRO_NORMAL(iter)) { \
      ploadLhsMMA(reinterpret_cast<const double*>(lhs_ptr##iter), plhsV##iter); \
      __builtin_vsx_disassemble_pair(reinterpret_cast<void*>(&lhsV2##iter.packet), &plhsV##iter); \
      lhs_ptr##iter += accCols*2; \
    } else { \
      lhsV2##iter.packet[0] = ploadLhs<Packet>(lhs_ptr##iter); \
      lhsV2##iter.packet[1] = ploadLhs<Packet>(lhs_ptr##iter + accCols2); \
      lhs_ptr##iter += accCols2*2; \
      EIGEN_UNUSED_VARIABLE(plhsV##iter) \
    } \
  } else { \
    EIGEN_UNUSED_VARIABLE(lhsV2##iter); \
    EIGEN_UNUSED_VARIABLE(plhsV##iter) \
  }

#define MICRO_MMA_LOAD_TWO(iter) MICRO_MMA_LOAD1_TWO(lhs_ptr, iter)

#define MICRO_MMA_TYPE_PEEL(funcw, funcl, type, peel) \
  if (PEEL_MMA > peel) { \
    Packet lhsV0, lhsV1, lhsV2, lhsV3, lhsV4, lhsV5, lhsV6, lhsV7; \
    ploadRhsMMA(rhs_ptr + (accRows * peel), rhsV##peel); \
    MICRO_MMA_UNROLL(funcl) \
    MICRO_MMA_WORK(funcw, type, peel) \
  } else { \
    EIGEN_UNUSED_VARIABLE(rhsV##peel); \
  }

#define MICRO_MMA_TYPE_PEEL2(funcw1, funcl1, funcw2, funcl2, type, peel1, peel2) \
  if (PEEL_MMA > peel2) { \
    PacketBlock<Packet,2> lhsV20, lhsV21, lhsV22, lhsV23, lhsV24, lhsV25, lhsV26, lhsV27; \
    __vector_pair plhsV0, plhsV1, plhsV2, plhsV3, plhsV4, plhsV5, plhsV6, plhsV7; \
    ploadRhsMMA(rhs_ptr + (accRows * peel1), rhsV##peel1); \
    ploadRhsMMA(rhs_ptr + (accRows * peel2), rhsV##peel2); \
    MICRO_MMA_UNROLL(funcl2) \
    MICRO_MMA_WORK(funcw2, type, peel1) \
    MICRO_MMA_WORK(funcw2, type, peel2) \
  } else { \
    MICRO_MMA_TYPE_PEEL(funcw1, funcl1, type, peel1) \
  }

#define MICRO_MMA_UNROLL_TYPE_PEEL2(funcw1, funcl1, funcw2, funcl2, type) \
  type rhsV0, rhsV1, rhsV2, rhsV3, rhsV4, rhsV5, rhsV6, rhsV7; \
  MICRO_MMA_TYPE_PEEL2(funcw1,funcl1,funcw2,funcl2,type,0,1) \
  MICRO_MMA_TYPE_PEEL2(funcw1,funcl1,funcw2,funcl2,type,2,3) \
  MICRO_MMA_TYPE_PEEL2(funcw1,funcl1,funcw2,funcl2,type,4,5) \
  MICRO_MMA_TYPE_PEEL2(funcw1,funcl1,funcw2,funcl2,type,6,7)

#define MICRO_MMA_UNROLL_TYPE_ONE(funcw, funcl, type) \
  type rhsV0; \
  MICRO_MMA_TYPE_PEEL(funcw,funcl,type,0)

#define MICRO_MMA_UNROLL_TYPE(MICRO_MMA_TYPE, size) \
  MICRO_MMA_TYPE(MICRO_MMA_WORK_ONE, MICRO_LOAD_ONE, RhsPacket) \
  rhs_ptr += (accRows * size);

#define MICRO_MMA_UNROLL_TYPE2(MICRO_MMA_TYPE, size) \
 MICRO_MMA_TYPE(MICRO_MMA_WORK_ONE, MICRO_LOAD_ONE, MICRO_MMA_WORK_TWO, MICRO_MMA_LOAD_TWO, RhsPacket) \
  rhs_ptr += (accRows * size);

#define MICRO_MMA_ONE_PEEL MICRO_MMA_UNROLL_TYPE2(MICRO_MMA_UNROLL_TYPE_PEEL2, PEEL_MMA)

#define MICRO_MMA_ONE MICRO_MMA_UNROLL_TYPE(MICRO_MMA_UNROLL_TYPE_ONE, 1)

#define MICRO_MMA_DST_PTR_ONE(iter) \
  if (unroll_factor > iter) { \
    bsetzeroMMA(&accZero##iter); \
  } else { \
    EIGEN_UNUSED_VARIABLE(accZero##iter); \
  }

#define MICRO_MMA_DST_PTR MICRO_MMA_UNROLL(MICRO_MMA_DST_PTR_ONE)

#define MICRO_MMA_SRC_PTR MICRO_MMA_UNROLL(MICRO_SRC_PTR_ONE)

#define MICRO_MMA_PREFETCH MICRO_MMA_UNROLL(MICRO_PREFETCH_ONE)

#define MICRO_MMA_STORE_ONE(iter) \
  if (unroll_factor > iter) { \
    storeAccumulator<DataMapper, Index, Packet, accCols, (unroll_factor != (iter + 1)) ? accCols : accCols2>(row + iter*accCols, res, pAlpha, pMask, &accZero##iter); \
  }

#define MICRO_MMA_STORE MICRO_MMA_UNROLL(MICRO_MMA_STORE_ONE)

template<int unroll_factor, typename Scalar, typename Packet, typename RhsPacket, typename DataMapper, typename Index, const Index accRows, const Index accCols, const Index accCols2>
EIGEN_ALWAYS_INLINE void gemm_unrolled_MMA_iteration(
  const DataMapper& res,
  const Scalar* lhs_base,
  const Scalar* rhs_base,
  Index depth,
  Index strideA,
  Index offsetA,
  Index& row,
  const Packet& pAlpha,
  const Packet& pMask)
{
  const Scalar* rhs_ptr = rhs_base;
  const Scalar* lhs_ptr0 = NULL, * lhs_ptr1 = NULL, * lhs_ptr2 = NULL, * lhs_ptr3 = NULL, * lhs_ptr4 = NULL, * lhs_ptr5 = NULL, * lhs_ptr6 = NULL, * lhs_ptr7 = NULL;
  __vector_quad accZero0, accZero1, accZero2, accZero3, accZero4, accZero5, accZero6, accZero7;

  MICRO_MMA_SRC_PTR
  MICRO_MMA_DST_PTR

  Index k = 0, depth2 = depth - PEEL_MMA;
  for(; k <= depth2; k += PEEL_MMA)
  {
    EIGEN_POWER_PREFETCH(rhs_ptr);
    MICRO_MMA_PREFETCH
    MICRO_MMA_ONE_PEEL
  }
  for(; k < depth; k++)
  {
    MICRO_MMA_ONE
  }
  MICRO_MMA_STORE

  MICRO_UPDATE
}

#define MICRO_MMA_UNROLL_ITER2(N, M) \
  gemm_unrolled_MMA_iteration<N + (M ? 1 : 0), Scalar, Packet, RhsPacket, DataMapper, Index, accRows, accCols, M ? M : accCols>(res3, lhs_base, rhs_base, depth, strideA, offsetA, row, pAlpha, pMask); \
  if (M) return;

template<typename Scalar, typename Packet, typename RhsPacket, typename DataMapper, typename Index, const Index accRows, const Index accCols>
EIGEN_ALWAYS_INLINE void gemmMMA_cols(
  const DataMapper& res,
  const Scalar* blockA,
  const Scalar* blockB,
  Index depth,
  Index strideA,
  Index offsetA,
  Index strideB,
  Index offsetB,
  Index col,
  Index rows,
  Index remaining_rows,
  const Packet& pAlpha,
  const Packet& pMask)
{
  const DataMapper res3 = res.getSubMapper(0, col);

  const Scalar* rhs_base = blockB + col*strideB + accRows*offsetB;
  const Scalar* lhs_base = blockA + accCols*offsetA;
  Index row = 0;

#define MAX_MMA_UNROLL 7
  while(row + MAX_MMA_UNROLL*accCols <= rows) {
    MICRO_MMA_UNROLL_ITER2(MAX_MMA_UNROLL, 0);
  }
  switch( (rows-row)/accCols ) {
#if MAX_MMA_UNROLL > 7
    case 7:
      MICRO_UNROLL_ITER(MICRO_MMA_UNROLL_ITER2, 7)
      break;
#endif
#if MAX_MMA_UNROLL > 6
    case 6:
      MICRO_UNROLL_ITER(MICRO_MMA_UNROLL_ITER2, 6)
      break;
#endif
#if MAX_MMA_UNROLL > 5
    case 5:
      MICRO_UNROLL_ITER(MICRO_MMA_UNROLL_ITER2, 5)
      break;
#endif
#if MAX_MMA_UNROLL > 4
    case 4:
      MICRO_UNROLL_ITER(MICRO_MMA_UNROLL_ITER2, 4)
      break;
#endif
#if MAX_MMA_UNROLL > 3
    case 3:
      MICRO_UNROLL_ITER(MICRO_MMA_UNROLL_ITER2, 3)
      break;
#endif
#if MAX_MMA_UNROLL > 2
    case 2:
      MICRO_UNROLL_ITER(MICRO_MMA_UNROLL_ITER2, 2)
      break;
#endif
#if MAX_MMA_UNROLL > 1
    case 1:
      MICRO_UNROLL_ITER(MICRO_MMA_UNROLL_ITER2, 1)
      break;
#endif
    default:
      break;
  }
#undef MAX_MMA_UNROLL

  if(remaining_rows > 0)
  {
    gemm_extra_row<Scalar, Packet, DataMapper, Index, accRows, accCols>(res3, blockA, rhs_base, depth, strideA, offsetA, strideB, row, rows, remaining_rows, pAlpha, pMask);
  }
}

template<typename Scalar, typename Index, typename Packet, typename RhsPacket, typename DataMapper, const Index accRows, const Index accCols>
void gemmMMA(const DataMapper& res, const Scalar* blockA, const Scalar* blockB, Index rows, Index depth, Index cols, Scalar alpha, Index strideA, Index strideB, Index offsetA, Index offsetB)
{
      const Index remaining_rows = rows % accCols;

      if( strideA == -1 ) strideA = depth;
      if( strideB == -1 ) strideB = depth;

      const Packet pAlpha = pset1<Packet>(alpha);
      const Packet pMask  = bmask<Packet>(remaining_rows);

      typedef typename std::conditional_t<(sizeof(Scalar) == sizeof(float)), RhsPacket, __vector_pair> RhsPacket2;

      Index col = 0;
      for(; col + accRows <= cols; col += accRows)
      {
        gemmMMA_cols<Scalar, Packet, RhsPacket2, DataMapper, Index, accRows, accCols>(res, blockA, blockB, depth, strideA, offsetA, strideB, offsetB, col, rows, remaining_rows, pAlpha, pMask);
      }

      if (col != cols)
      {
        gemm_extra_cols<Scalar, Packet, DataMapper, Index, accCols>(res, blockA, blockB, depth, strideA, offsetA, strideB, offsetB, col, rows, cols, remaining_rows, pAlpha, pMask);
      }
}

#define advanceRows ((LhsIsReal) ? 1 : 2)
#define advanceCols ((RhsIsReal) ? 1 : 2)

// PEEL_COMPLEX_MMA loop factor.
#define PEEL_COMPLEX_MMA 3

#define MICRO_COMPLEX_MMA_UNROLL(func) \
  func(0) func(1) func(2) func(3)

#define MICRO_COMPLEX_MMA_WORK(func, type, peel) \
  func(0,type,peel) func(1,type,peel) func(2,type,peel) func(3,type,peel)

#define MICRO_COMPLEX_MMA_WORK_ONE(iter, type, peel) \
  if (unroll_factor > iter) { \
    pgercMMA<Packet, type, ConjugateLhs, ConjugateRhs, LhsIsReal, RhsIsReal>(&accReal##iter, &accImag##iter, lhsV##iter, lhsVi##iter, rhsV##peel, rhsVi##peel); \
  }

#define MICRO_COMPLEX_MMA_WORK_TWO(iter, type, peel) \
  if (unroll_factor > iter) { \
    pgercMMA<Packet, type, ConjugateLhs, ConjugateRhs, LhsIsReal, RhsIsReal>(&accReal##iter, &accImag##iter, lhsV2##iter.packet[peel & 1], lhsVi2##iter.packet[peel & 1], rhsV##peel, rhsVi##peel); \
  }

#define MICRO_COMPLEX_MMA_LOAD1_TWO(lhs_ptr, iter) \
  if (!LhsIsReal && (unroll_factor > iter)) { \
    if (MICRO_NORMAL(iter)) { \
      ploadLhsMMA(reinterpret_cast<const double*>(lhs_ptr_real##iter + imag_delta), plhsVi##iter); \
      __builtin_vsx_disassemble_pair(reinterpret_cast<void*>(&lhsVi2##iter.packet), &plhsVi##iter); \
    } else { \
      lhsVi2##iter.packet[0] = ploadLhs<Packet>(lhs_ptr_real##iter + imag_delta2); \
      lhsVi2##iter.packet[1] = ploadLhs<Packet>(lhs_ptr_real##iter + imag_delta2 + accCols2); \
      EIGEN_UNUSED_VARIABLE(plhsVi##iter) \
    } \
  } else { \
    EIGEN_UNUSED_VARIABLE(lhsVi2##iter); \
    EIGEN_UNUSED_VARIABLE(plhsVi##iter) \
  } \
  MICRO_MMA_LOAD1_TWO(lhs_ptr_real, iter)

#define MICRO_COMPLEX_MMA_LOAD_TWO(iter) MICRO_COMPLEX_MMA_LOAD1_TWO(lhs_ptr, iter)

#define MICRO_COMPLEX_MMA_TYPE_PEEL(funcw, funcl, type, peel) \
  if (PEEL_COMPLEX_MMA > peel) { \
    Packet lhsV0, lhsV1, lhsV2, lhsV3; \
    Packet lhsVi0, lhsVi1, lhsVi2, lhsVi3; \
    ploadRhsMMA(rhs_ptr_real + (accRows * peel), rhsV##peel); \
    if(!RhsIsReal) { \
      ploadRhsMMA(rhs_ptr_imag + (accRows * peel), rhsVi##peel); \
    } else { \
      EIGEN_UNUSED_VARIABLE(rhsVi##peel); \
    } \
    MICRO_COMPLEX_MMA_UNROLL(funcl) \
    MICRO_COMPLEX_MMA_WORK(funcw, type, peel) \
  } else { \
    EIGEN_UNUSED_VARIABLE(rhsV##peel); \
    EIGEN_UNUSED_VARIABLE(rhsVi##peel); \
  }

#define MICRO_COMPLEX_MMA_TYPE_PEEL2(funcw1, funcl1, funcw2, funcl2, type, peel1, peel2) \
  if (PEEL_COMPLEX_MMA > peel2) { \
    PacketBlock<Packet,2> lhsV20, lhsV21, lhsV22, lhsV23; \
    PacketBlock<Packet,2> lhsVi20, lhsVi21, lhsVi22, lhsVi23; \
    __vector_pair plhsV0, plhsV1, plhsV2, plhsV3; \
    __vector_pair plhsVi0, plhsVi1, plhsVi2, plhsVi3; \
    ploadRhsMMA(rhs_ptr_real + (accRows * peel1), rhsV##peel1); \
    ploadRhsMMA(rhs_ptr_real + (accRows * peel2), rhsV##peel2); \
    if(!RhsIsReal) { \
      ploadRhsMMA(rhs_ptr_imag + (accRows * peel1), rhsVi##peel1); \
      ploadRhsMMA(rhs_ptr_imag + (accRows * peel2), rhsVi##peel2); \
    } else { \
      EIGEN_UNUSED_VARIABLE(rhsVi##peel1); \
      EIGEN_UNUSED_VARIABLE(rhsVi##peel2); \
    } \
    MICRO_COMPLEX_MMA_UNROLL(funcl2) \
    MICRO_COMPLEX_MMA_WORK(funcw2, type, peel1) \
    MICRO_COMPLEX_MMA_WORK(funcw2, type, peel2) \
  } else { \
    MICRO_COMPLEX_MMA_TYPE_PEEL(funcw1, funcl1, type, peel1) \
  }

#define MICRO_COMPLEX_MMA_UNROLL_TYPE_PEEL2(funcw1, funcl1, funcw2, funcl2, type) \
  type rhsV0, rhsV1, rhsV2, rhsV3; \
  type rhsVi0, rhsVi1, rhsVi2, rhsVi3; \
  MICRO_COMPLEX_MMA_TYPE_PEEL2(funcw1,funcl1,funcw2,funcl2,type,0,1) \
  MICRO_COMPLEX_MMA_TYPE_PEEL2(funcw1,funcl1,funcw2,funcl2,type,2,3)

#define MICRO_COMPLEX_MMA_UNROLL_TYPE_ONE(funcw, funcl, type) \
  type rhsV0, rhsVi0; \
  MICRO_COMPLEX_MMA_TYPE_PEEL(funcw,funcl,type,0)

#define MICRO_COMPLEX_MMA_UNROLL_TYPE(MICRO_COMPLEX_MMA_TYPE, size) \
  MICRO_COMPLEX_MMA_TYPE(MICRO_COMPLEX_MMA_WORK_ONE, MICRO_COMPLEX_LOAD_ONE, RhsPacket) \
  rhs_ptr_real += (accRows * size); \
  if(!RhsIsReal) rhs_ptr_imag += (accRows * size);

#define MICRO_COMPLEX_MMA_UNROLL_TYPE2(MICRO_COMPLEX_MMA_TYPE, size) \
 MICRO_COMPLEX_MMA_TYPE(MICRO_COMPLEX_MMA_WORK_ONE, MICRO_COMPLEX_LOAD_ONE, MICRO_COMPLEX_MMA_WORK_TWO, MICRO_COMPLEX_MMA_LOAD_TWO, RhsPacket) \
  rhs_ptr_real += (accRows * size); \
  if(!RhsIsReal) rhs_ptr_imag += (accRows * size);

#define MICRO_COMPLEX_MMA_ONE_PEEL MICRO_COMPLEX_MMA_UNROLL_TYPE2(MICRO_COMPLEX_MMA_UNROLL_TYPE_PEEL2, PEEL_COMPLEX_MMA)

#define MICRO_COMPLEX_MMA_ONE MICRO_COMPLEX_MMA_UNROLL_TYPE(MICRO_COMPLEX_MMA_UNROLL_TYPE_ONE, 1)

#define MICRO_COMPLEX_MMA_DST_PTR_ONE(iter) \
  if (unroll_factor > iter) { \
    bsetzeroMMA(&accReal##iter); \
    bsetzeroMMA(&accImag##iter); \
  } else { \
    EIGEN_UNUSED_VARIABLE(accReal##iter); \
    EIGEN_UNUSED_VARIABLE(accImag##iter); \
  }

#define MICRO_COMPLEX_MMA_DST_PTR MICRO_COMPLEX_MMA_UNROLL(MICRO_COMPLEX_MMA_DST_PTR_ONE)

#define MICRO_COMPLEX_MMA_SRC_PTR MICRO_COMPLEX_MMA_UNROLL(MICRO_COMPLEX_SRC_PTR_ONE)

#define MICRO_COMPLEX_MMA_PREFETCH MICRO_COMPLEX_MMA_UNROLL(MICRO_COMPLEX_PREFETCH_ONE)

#define MICRO_COMPLEX_MMA_STORE_ONE(iter) \
  if (unroll_factor > iter) { \
    storeComplexAccumulator<DataMapper, Index, Packet, Packetc, accCols, (unroll_factor != (iter + 1)) ? accCols : accCols2>(row + iter*accCols, res, pAlphaReal, pAlphaImag, pMask, &accReal##iter, &accImag##iter); \
  }

#define MICRO_COMPLEX_MMA_STORE MICRO_COMPLEX_MMA_UNROLL(MICRO_COMPLEX_MMA_STORE_ONE)

template<int unroll_factor, typename Scalar, typename Packet, typename Packetc, typename RhsPacket, typename DataMapper, typename Index, const Index accRows, const Index accCols, const Index accCols2, bool ConjugateLhs, bool ConjugateRhs, bool LhsIsReal, bool RhsIsReal>
EIGEN_ALWAYS_INLINE void gemm_complex_unrolled_MMA_iteration(
  const DataMapper& res,
  const Scalar* lhs_base,
  const Scalar* rhs_base,
  Index depth,
  Index strideA,
  Index offsetA,
  Index strideB,
  Index& row,
  const Packet& pAlphaReal,
  const Packet& pAlphaImag,
  const Packet& pMask)
{
  const Scalar* rhs_ptr_real = rhs_base;
  const Scalar* rhs_ptr_imag = NULL;
  const Index imag_delta = accCols*strideA;
  const Index imag_delta2 = accCols2*strideA;
  if(!RhsIsReal) {
    rhs_ptr_imag = rhs_base + accRows*strideB;
  } else {
    EIGEN_UNUSED_VARIABLE(rhs_ptr_imag);
  }
  const Scalar* lhs_ptr_real0 = NULL, * lhs_ptr_real1 = NULL;
  const Scalar* lhs_ptr_real2 = NULL, * lhs_ptr_real3 = NULL;
  __vector_quad accReal0, accImag0, accReal1, accImag1, accReal2, accImag2, accReal3, accImag3;

  MICRO_COMPLEX_MMA_SRC_PTR
  MICRO_COMPLEX_MMA_DST_PTR

  Index k = 0, depth2 = depth - PEEL_COMPLEX_MMA;
  for(; k <= depth2; k += PEEL_COMPLEX_MMA)
  {
    EIGEN_POWER_PREFETCH(rhs_ptr_real);
    if(!RhsIsReal) {
      EIGEN_POWER_PREFETCH(rhs_ptr_imag);
    }
    MICRO_COMPLEX_MMA_PREFETCH
    MICRO_COMPLEX_MMA_ONE_PEEL
  }
  for(; k < depth; k++)
  {
    MICRO_COMPLEX_MMA_ONE
  }
  MICRO_COMPLEX_MMA_STORE

  MICRO_COMPLEX_UPDATE
}

#define MICRO_COMPLEX_MMA_UNROLL_ITER2(N, M) \
  gemm_complex_unrolled_MMA_iteration<N + (M ? 1 : 0), Scalar, Packet, Packetc, RhsPacket, DataMapper, Index, accRows, accCols, M ? M : accCols, ConjugateLhs, ConjugateRhs, LhsIsReal, RhsIsReal>(res3, lhs_base, rhs_base, depth, strideA, offsetA, strideB, row, pAlphaReal, pAlphaImag, pMask); \
  if (M) return;

template<typename Scalar, typename Packet, typename Packetc, typename RhsPacket, typename DataMapper, typename Index, const Index accRows, const Index accCols, bool ConjugateLhs, bool ConjugateRhs, bool LhsIsReal, bool RhsIsReal>
EIGEN_ALWAYS_INLINE void gemmMMA_complex_cols(
  const DataMapper& res,
  const Scalar* blockA,
  const Scalar* blockB,
  Index depth,
  Index strideA,
  Index offsetA,
  Index strideB,
  Index offsetB,
  Index col,
  Index rows,
  Index remaining_rows,
  const Packet& pAlphaReal,
  const Packet& pAlphaImag,
  const Packet& pMask)
{
  const DataMapper res3 = res.getSubMapper(0, col);

  const Scalar* rhs_base = blockB + advanceCols*col*strideB + accRows*offsetB;
  const Scalar* lhs_base = blockA + accCols*offsetA;
  Index row = 0;

#define MAX_COMPLEX_MMA_UNROLL 4
  while(row + MAX_COMPLEX_MMA_UNROLL*accCols <= rows) {
    MICRO_COMPLEX_MMA_UNROLL_ITER2(MAX_COMPLEX_MMA_UNROLL, 0);
  }
  switch( (rows-row)/accCols ) {
#if MAX_COMPLEX_MMA_UNROLL > 4
    case 4:
      MICRO_UNROLL_ITER(MICRO_COMPLEX_MMA_UNROLL_ITER2, 4)
      break;
#endif
#if MAX_COMPLEX_MMA_UNROLL > 3
    case 3:
      MICRO_UNROLL_ITER(MICRO_COMPLEX_MMA_UNROLL_ITER2, 3)
      break;
#endif
#if MAX_COMPLEX_MMA_UNROLL > 2
    case 2:
      MICRO_UNROLL_ITER(MICRO_COMPLEX_MMA_UNROLL_ITER2, 2)
      break;
#endif
#if MAX_COMPLEX_MMA_UNROLL > 1
    case 1:
      MICRO_UNROLL_ITER(MICRO_COMPLEX_MMA_UNROLL_ITER2, 1)
      break;
#endif
    default:
      break;
  }
#undef MAX_COMPLEX_MMA_UNROLL

  if(remaining_rows > 0)
  {
    gemm_complex_extra_row<Scalar, Packet, Packetc, DataMapper, Index, accRows, accCols, ConjugateLhs, ConjugateRhs, LhsIsReal, RhsIsReal>(res3, blockA, rhs_base, depth, strideA, offsetA, strideB, row, rows, remaining_rows, pAlphaReal, pAlphaImag, pMask);
  }
}

template<typename LhsScalar, typename RhsScalar, typename Scalarc, typename Scalar, typename Index, typename Packet, typename Packetc, typename RhsPacket, typename DataMapper, const Index accRows, const Index accCols, bool ConjugateLhs, bool ConjugateRhs, bool LhsIsReal, bool RhsIsReal>
void gemm_complexMMA(const DataMapper& res, const LhsScalar* blockAc, const RhsScalar* blockBc, Index rows, Index depth, Index cols, Scalarc alpha, Index strideA, Index strideB, Index offsetA, Index offsetB)
{
      const Index remaining_rows = rows % accCols;

      if( strideA == -1 ) strideA = depth;
      if( strideB == -1 ) strideB = depth;

      const Packet pAlphaReal = pset1<Packet>(alpha.real());
      const Packet pAlphaImag = pset1<Packet>(alpha.imag());
      const Packet pMask = bmask<Packet>(remaining_rows);

      const Scalar* blockA = (Scalar *) blockAc;
      const Scalar* blockB = (Scalar *) blockBc;

      typedef typename std::conditional_t<(sizeof(Scalar) == sizeof(float)), RhsPacket, __vector_pair> RhsPacket2;

      Index col = 0;
      for(; col + accRows <= cols; col += accRows)
      {
        gemmMMA_complex_cols<Scalar, Packet, Packetc, RhsPacket2, DataMapper, Index, accRows, accCols, ConjugateLhs, ConjugateRhs, LhsIsReal, RhsIsReal>(res, blockA, blockB, depth, strideA, offsetA, strideB, offsetB, col, rows, remaining_rows, pAlphaReal, pAlphaImag, pMask);
      }

      if (col != cols)
      {
        gemm_complex_extra_cols<Scalar, Packet, Packetc, DataMapper, Index, accCols, ConjugateLhs, ConjugateRhs, LhsIsReal, RhsIsReal>(res, blockA, blockB, depth, strideA, offsetA, strideB, offsetB, col, rows, cols, remaining_rows, pAlphaReal, pAlphaImag, pMask);
      }
}

#undef accColsC
#undef advanceRows
#undef advanceCols

} // end namespace internal

} // end namespace Eigen

#if defined(EIGEN_ALTIVEC_MMA_DYNAMIC_DISPATCH)
#pragma GCC pop_options
#endif

#endif // EIGEN_MATRIX_PRODUCT_MMA_ALTIVEC_H