/*
    Routines for matrix products. Calling procedure:

    MatProductCreate(A,B,C,&D); or MatProductCreateWithMat(A,B,C,D)
    MatProductSetType(D, MATPRODUCT_AB/AtB/ABt/PtAP/RARt/ABC)
    MatProductSetAlgorithm(D, alg)
    MatProductSetFill(D,fill)
    MatProductSetFromOptions(D)
      -> MatProductSetFromOptions_Private(D)
           # Check matrix global sizes
           if the matrices have the same setfromoptions routine, use it
           if not, try:
             -> Query MatProductSetFromOptions_Atype_Btype_Ctype_C(D) from A, B and C (in order)
             if found -> run the specific setup that must set the symbolic operation (these callbacks should never fail)
           if callback not found or no symbolic operation set
             -> Query MatProductSetFromOptions_anytype_C(D) from A, B and C (in order) (e.g, matrices may have inner matrices like MATTRANSPOSEVIRTUAL)
           if dispatch found but combination still not present do
             -> check if B is dense and product type AtB or AB -> if true, basic looping of dense columns
             -> check if triple product (PtAP, RARt or ABC) -> if true, set the Basic routines

    #  The setfromoptions calls MatProductSetFromOptions_Atype_Btype_Ctype should
    #    Check matrix local sizes for mpi matrices
    #    Set default algorithm
    #    Get runtime option
    #    Set D->ops->productsymbolic = MatProductSymbolic_productype_Atype_Btype_Ctype if found

    MatProductSymbolic(D)
      # Call MatProductSymbolic_productype_Atype_Btype_Ctype()
        the callback must set the numeric phase D->ops->productnumeric = MatProductNumeric_productype_Atype_Btype_Ctype

    MatProductNumeric(D)
      # Call the numeric phase

    # The symbolic phases are allowed to set extra data structures and attach those to the product
    # this additional data can be reused between multiple numeric phases with the same matrices
    # if not needed, call
    MatProductClear(D)
*/

#include <petsc/private/matimpl.h> /*I "petscmat.h" I*/

const char *const MatProductTypes[] = {"UNSPECIFIED", "AB", "AtB", "ABt", "PtAP", "RARt", "ABC"};

/* these are basic implementations relying on the old function pointers
 * they are dangerous and should be removed in the future */
static PetscErrorCode MatProductNumeric_PtAP_Unsafe(Mat C)
{
  Mat_Product *product = C->product;
  Mat          P = product->B, AP = product->Dwork;

  PetscFunctionBegin;
  /* AP = A*P */
  PetscCall(MatProductNumeric(AP));
  /* C = P^T*AP */
  product->type = MATPRODUCT_AtB;
  PetscCall((*C->ops->transposematmultnumeric)(P, AP, C));
  product->type = MATPRODUCT_PtAP;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatProductSymbolic_PtAP_Unsafe(Mat C)
{
  Mat_Product *product = C->product;
  Mat          A = product->A, P = product->B, AP;
  PetscReal    fill = product->fill;

  PetscFunctionBegin;
  PetscCall(PetscInfo(C, "for A %s, P %s is used\n", ((PetscObject)product->A)->type_name, ((PetscObject)product->B)->type_name));
  /* AP = A*P */
  PetscCall(MatProductCreate(A, P, NULL, &AP));
  PetscCall(MatProductSetType(AP, MATPRODUCT_AB));
  PetscCall(MatProductSetAlgorithm(AP, MATPRODUCTALGORITHMDEFAULT));
  PetscCall(MatProductSetFill(AP, fill));
  PetscCall(MatProductSetFromOptions(AP));
  PetscCall(MatProductSymbolic(AP));

  /* C = P^T*AP */
  PetscCall(MatProductSetType(C, MATPRODUCT_AtB));
  PetscCall(MatProductSetAlgorithm(C, MATPRODUCTALGORITHMDEFAULT));
  product->A = P;
  product->B = AP;
  PetscCall(MatProductSetFromOptions(C));
  PetscCall(MatProductSymbolic(C));

  /* resume user's original input matrix setting for A and B */
  product->type  = MATPRODUCT_PtAP;
  product->A     = A;
  product->B     = P;
  product->Dwork = AP;

  C->ops->productnumeric = MatProductNumeric_PtAP_Unsafe;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatProductNumeric_RARt_Unsafe(Mat C)
{
  Mat_Product *product = C->product;
  Mat          R = product->B, RA = product->Dwork;

  PetscFunctionBegin;
  /* RA = R*A */
  PetscCall(MatProductNumeric(RA));
  /* C = RA*R^T */
  product->type = MATPRODUCT_ABt;
  PetscCall((*C->ops->mattransposemultnumeric)(RA, R, C));
  product->type = MATPRODUCT_RARt;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatProductSymbolic_RARt_Unsafe(Mat C)
{
  Mat_Product *product = C->product;
  Mat          A = product->A, R = product->B, RA;
  PetscReal    fill = product->fill;

  PetscFunctionBegin;
  PetscCall(PetscInfo(C, "for A %s, R %s is used\n", ((PetscObject)product->A)->type_name, ((PetscObject)product->B)->type_name));
  /* RA = R*A */
  PetscCall(MatProductCreate(R, A, NULL, &RA));
  PetscCall(MatProductSetType(RA, MATPRODUCT_AB));
  PetscCall(MatProductSetAlgorithm(RA, MATPRODUCTALGORITHMDEFAULT));
  PetscCall(MatProductSetFill(RA, fill));
  PetscCall(MatProductSetFromOptions(RA));
  PetscCall(MatProductSymbolic(RA));

  /* C = RA*R^T */
  PetscCall(MatProductSetType(C, MATPRODUCT_ABt));
  PetscCall(MatProductSetAlgorithm(C, MATPRODUCTALGORITHMDEFAULT));
  product->A = RA;
  PetscCall(MatProductSetFromOptions(C));
  PetscCall(MatProductSymbolic(C));

  /* resume user's original input matrix setting for A */
  product->type          = MATPRODUCT_RARt;
  product->A             = A;
  product->Dwork         = RA; /* save here so it will be destroyed with product C */
  C->ops->productnumeric = MatProductNumeric_RARt_Unsafe;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatProductNumeric_ABC_Unsafe(Mat mat)
{
  Mat_Product *product = mat->product;
  Mat          A = product->A, BC = product->Dwork;

  PetscFunctionBegin;
  /* Numeric BC = B*C */
  PetscCall(MatProductNumeric(BC));
  /* Numeric mat = A*BC */
  product->type = MATPRODUCT_AB;
  PetscCall((*mat->ops->matmultnumeric)(A, BC, mat));
  product->type = MATPRODUCT_ABC;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatProductSymbolic_ABC_Unsafe(Mat mat)
{
  Mat_Product *product = mat->product;
  Mat          B = product->B, C = product->C, BC;
  PetscReal    fill = product->fill;

  PetscFunctionBegin;
  PetscCall(PetscInfo(mat, "for A %s, B %s, C %s is used\n", ((PetscObject)product->A)->type_name, ((PetscObject)product->B)->type_name, ((PetscObject)product->C)->type_name));
  /* Symbolic BC = B*C */
  PetscCall(MatProductCreate(B, C, NULL, &BC));
  PetscCall(MatProductSetType(BC, MATPRODUCT_AB));
  PetscCall(MatProductSetAlgorithm(BC, MATPRODUCTALGORITHMDEFAULT));
  PetscCall(MatProductSetFill(BC, fill));
  PetscCall(MatProductSetFromOptions(BC));
  PetscCall(MatProductSymbolic(BC));

  /* Symbolic mat = A*BC */
  PetscCall(MatProductSetType(mat, MATPRODUCT_AB));
  PetscCall(MatProductSetAlgorithm(mat, MATPRODUCTALGORITHMDEFAULT));
  product->B     = BC;
  product->Dwork = BC;
  PetscCall(MatProductSetFromOptions(mat));
  PetscCall(MatProductSymbolic(mat));

  /* resume user's original input matrix setting for B */
  product->type            = MATPRODUCT_ABC;
  product->B               = B;
  mat->ops->productnumeric = MatProductNumeric_ABC_Unsafe;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatProductSymbolic_Unsafe(Mat mat)
{
  Mat_Product *product = mat->product;

  PetscFunctionBegin;
  switch (product->type) {
  case MATPRODUCT_PtAP:
    PetscCall(MatProductSymbolic_PtAP_Unsafe(mat));
    break;
  case MATPRODUCT_RARt:
    PetscCall(MatProductSymbolic_RARt_Unsafe(mat));
    break;
  case MATPRODUCT_ABC:
    PetscCall(MatProductSymbolic_ABC_Unsafe(mat));
    break;
  default:
    SETERRQ(PetscObjectComm((PetscObject)mat), PETSC_ERR_SUP, "ProductType %s is not supported", MatProductTypes[product->type]);
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  MatProductReplaceMats - Replace the input matrices for the matrix-matrix product operation inside the computed matrix

  Collective

  Input Parameters:
+ A - the matrix or `NULL` if not being replaced
. B - the matrix or `NULL` if not being replaced
. C - the matrix or `NULL` if not being replaced
- D - the matrix whose values are computed via a matrix-matrix product operation

  Level: intermediate

  Note:
  To reuse the symbolic phase, the input matrices must have exactly the same data structure as the replaced one.
  If the type of any of the input matrices is different than what was previously used, or their symmetry flag changed but
  the symbolic phase took advantage of their symmetry, the product is cleared and `MatProductSetFromOptions()`
  and `MatProductSymbolic()` are invoked again.

.seealso: [](ch_matrices), `MatProduct`, `Mat`, `MatProductCreate()`, `MatProductSetFromOptions()`, `MatProductSymbolic()`, `MatProductClear()`
@*/
PetscErrorCode MatProductReplaceMats(Mat A, Mat B, Mat C, Mat D)
{
  Mat_Product *product;
  PetscBool    flgA = PETSC_TRUE, flgB = PETSC_TRUE, flgC = PETSC_TRUE, isset, issym;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(D, MAT_CLASSID, 4);
  MatCheckProduct(D, 4);
  product = D->product;
  if (A) {
    PetscValidHeaderSpecific(A, MAT_CLASSID, 1);
    PetscCall(PetscObjectReference((PetscObject)A));
    PetscCall(PetscObjectTypeCompare((PetscObject)product->A, ((PetscObject)A)->type_name, &flgA));
    PetscCall(MatIsSymmetricKnown(A, &isset, &issym));
    if (product->symbolic_used_the_fact_A_is_symmetric && isset && !issym) { /* symbolic was built around a symmetric A, but the new A is not anymore */
      flgA                                           = PETSC_FALSE;
      product->symbolic_used_the_fact_A_is_symmetric = PETSC_FALSE; /* reinit */
    }
    PetscCall(MatDestroy(&product->A));
    product->A = A;
  }
  if (B) {
    PetscValidHeaderSpecific(B, MAT_CLASSID, 2);
    PetscCall(PetscObjectReference((PetscObject)B));
    PetscCall(PetscObjectTypeCompare((PetscObject)product->B, ((PetscObject)B)->type_name, &flgB));
    PetscCall(MatIsSymmetricKnown(B, &isset, &issym));
    if (product->symbolic_used_the_fact_B_is_symmetric && isset && !issym) {
      flgB                                           = PETSC_FALSE;
      product->symbolic_used_the_fact_B_is_symmetric = PETSC_FALSE; /* reinit */
    }
    PetscCall(MatDestroy(&product->B));
    product->B = B;
  }
  if (C) {
    PetscValidHeaderSpecific(C, MAT_CLASSID, 3);
    PetscCall(PetscObjectReference((PetscObject)C));
    PetscCall(PetscObjectTypeCompare((PetscObject)product->C, ((PetscObject)C)->type_name, &flgC));
    PetscCall(MatIsSymmetricKnown(C, &isset, &issym));
    if (product->symbolic_used_the_fact_C_is_symmetric && isset && !issym) {
      flgC                                           = PETSC_FALSE;
      product->symbolic_used_the_fact_C_is_symmetric = PETSC_FALSE; /* reinit */
    }
    PetscCall(MatDestroy(&product->C));
    product->C = C;
  }
  /* Any of the replaced mats is of a different type, reset */
  if (!flgA || !flgB || !flgC) {
    if (D->product->destroy) PetscCall((*D->product->destroy)(&D->product->data));
    D->product->destroy = NULL;
    D->product->data    = NULL;
    if (D->ops->productnumeric || D->ops->productsymbolic) {
      PetscCall(MatProductSetFromOptions(D));
      PetscCall(MatProductSymbolic(D));
    }
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatProductNumeric_X_Dense(Mat C)
{
  Mat_Product *product = C->product;
  Mat          A = product->A, B = product->B;
  PetscInt     k, K              = B->cmap->N;
  PetscBool    t = PETSC_TRUE, iscuda = PETSC_FALSE;
  PetscBool    Bcpu = PETSC_TRUE, Ccpu = PETSC_TRUE;
  char        *Btype = NULL, *Ctype = NULL;

  PetscFunctionBegin;
  switch (product->type) {
  case MATPRODUCT_AB:
    t = PETSC_FALSE;
  case MATPRODUCT_AtB:
    break;
  default:
    SETERRQ(PetscObjectComm((PetscObject)C), PETSC_ERR_SUP, "MatProductNumeric type %s not supported for %s and %s matrices", MatProductTypes[product->type], ((PetscObject)A)->type_name, ((PetscObject)B)->type_name);
  }
  if (PetscDefined(HAVE_CUDA)) {
    VecType vtype;

    PetscCall(MatGetVecType(A, &vtype));
    PetscCall(PetscStrcmp(vtype, VECCUDA, &iscuda));
    if (!iscuda) PetscCall(PetscStrcmp(vtype, VECSEQCUDA, &iscuda));
    if (!iscuda) PetscCall(PetscStrcmp(vtype, VECMPICUDA, &iscuda));
    if (iscuda) { /* Make sure we have up-to-date data on the GPU */
      PetscCall(PetscStrallocpy(((PetscObject)B)->type_name, &Btype));
      PetscCall(PetscStrallocpy(((PetscObject)C)->type_name, &Ctype));
      PetscCall(MatConvert(B, MATDENSECUDA, MAT_INPLACE_MATRIX, &B));
      if (!C->assembled) { /* need to flag the matrix as assembled, otherwise MatConvert will complain */
        PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY));
        PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY));
      }
      PetscCall(MatConvert(C, MATDENSECUDA, MAT_INPLACE_MATRIX, &C));
    } else { /* Make sure we have up-to-date data on the CPU */
#if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_VIENNACL)
      Bcpu = B->boundtocpu;
      Ccpu = C->boundtocpu;
#endif
      PetscCall(MatBindToCPU(B, PETSC_TRUE));
      PetscCall(MatBindToCPU(C, PETSC_TRUE));
    }
  }
  for (k = 0; k < K; k++) {
    Vec x, y;

    PetscCall(MatDenseGetColumnVecRead(B, k, &x));
    PetscCall(MatDenseGetColumnVecWrite(C, k, &y));
    if (t) {
      PetscCall(MatMultTranspose(A, x, y));
    } else {
      PetscCall(MatMult(A, x, y));
    }
    PetscCall(MatDenseRestoreColumnVecRead(B, k, &x));
    PetscCall(MatDenseRestoreColumnVecWrite(C, k, &y));
  }
  PetscCall(MatSetOption(C, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE));
  PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY));
  PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY));
  if (PetscDefined(HAVE_CUDA)) {
    if (iscuda) {
      PetscCall(MatConvert(B, Btype, MAT_INPLACE_MATRIX, &B));
      PetscCall(MatConvert(C, Ctype, MAT_INPLACE_MATRIX, &C));
    } else {
      PetscCall(MatBindToCPU(B, Bcpu));
      PetscCall(MatBindToCPU(C, Ccpu));
    }
  }
  PetscCall(PetscFree(Btype));
  PetscCall(PetscFree(Ctype));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatProductSymbolic_X_Dense(Mat C)
{
  Mat_Product *product = C->product;
  Mat          A = product->A, B = product->B;
  PetscBool    isdense;

  PetscFunctionBegin;
  switch (product->type) {
  case MATPRODUCT_AB:
    PetscCall(MatSetSizes(C, A->rmap->n, B->cmap->n, A->rmap->N, B->cmap->N));
    break;
  case MATPRODUCT_AtB:
    PetscCall(MatSetSizes(C, A->cmap->n, B->cmap->n, A->cmap->N, B->cmap->N));
    break;
  default:
    SETERRQ(PetscObjectComm((PetscObject)C), PETSC_ERR_SUP, "MatProductSymbolic type %s not supported for %s and %s matrices", MatProductTypes[product->type], ((PetscObject)A)->type_name, ((PetscObject)B)->type_name);
  }
  PetscCall(PetscObjectBaseTypeCompareAny((PetscObject)C, &isdense, MATSEQDENSE, MATMPIDENSE, ""));
  if (!isdense) {
    PetscCall(MatSetType(C, ((PetscObject)B)->type_name));
    /* If matrix type of C was not set or not dense, we need to reset the pointer */
    C->ops->productsymbolic = MatProductSymbolic_X_Dense;
  }
  C->ops->productnumeric = MatProductNumeric_X_Dense;
  PetscCall(MatSetUp(C));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* a single driver to query the dispatching */
static PetscErrorCode MatProductSetFromOptions_Private(Mat mat)
{
  Mat_Product      *product = mat->product;
  PetscInt          Am, An, Bm, Bn, Cm, Cn;
  Mat               A = product->A, B = product->B, C = product->C;
  const char *const Bnames[] = {"B", "R", "P"};
  const char       *bname;
  PetscErrorCode (*fA)(Mat);
  PetscErrorCode (*fB)(Mat);
  PetscErrorCode (*fC)(Mat);
  PetscErrorCode (*f)(Mat) = NULL;

  PetscFunctionBegin;
  mat->ops->productsymbolic = NULL;
  mat->ops->productnumeric  = NULL;
  if (product->type == MATPRODUCT_UNSPECIFIED) PetscFunctionReturn(PETSC_SUCCESS);
  PetscCheck(A, PetscObjectComm((PetscObject)mat), PETSC_ERR_PLIB, "Missing A mat");
  PetscCheck(B, PetscObjectComm((PetscObject)mat), PETSC_ERR_PLIB, "Missing B mat");
  PetscCheck(product->type != MATPRODUCT_ABC || C, PetscObjectComm((PetscObject)mat), PETSC_ERR_PLIB, "Missing C mat");
  if (product->type != MATPRODUCT_ABC) C = NULL; /* do not use C if not needed */
  if (product->type == MATPRODUCT_RARt) bname = Bnames[1];
  else if (product->type == MATPRODUCT_PtAP) bname = Bnames[2];
  else bname = Bnames[0];

  /* Check matrices sizes */
  Am = A->rmap->N;
  An = A->cmap->N;
  Bm = B->rmap->N;
  Bn = B->cmap->N;
  Cm = C ? C->rmap->N : 0;
  Cn = C ? C->cmap->N : 0;
  if (product->type == MATPRODUCT_RARt || product->type == MATPRODUCT_ABt) {
    PetscInt t = Bn;
    Bn         = Bm;
    Bm         = t;
  }
  if (product->type == MATPRODUCT_AtB) An = Am;

  PetscCheck(An == Bm, PetscObjectComm((PetscObject)mat), PETSC_ERR_ARG_SIZ, "Matrix dimensions of A and %s are incompatible for MatProductType %s: A %" PetscInt_FMT "x%" PetscInt_FMT ", %s %" PetscInt_FMT "x%" PetscInt_FMT, bname,
             MatProductTypes[product->type], A->rmap->N, A->cmap->N, bname, B->rmap->N, B->cmap->N);
  PetscCheck(!Cm || Cm == Bn, PetscObjectComm((PetscObject)mat), PETSC_ERR_ARG_SIZ, "Matrix dimensions of B and C are incompatible for MatProductType %s: B %" PetscInt_FMT "x%" PetscInt_FMT ", C %" PetscInt_FMT "x%" PetscInt_FMT,
             MatProductTypes[product->type], B->rmap->N, B->cmap->N, Cm, Cn);

  fA = A->ops->productsetfromoptions;
  fB = B->ops->productsetfromoptions;
  fC = C ? C->ops->productsetfromoptions : fA;
  if (C) {
    PetscCall(PetscInfo(mat, "MatProductType %s for A %s, %s %s, C %s\n", MatProductTypes[product->type], ((PetscObject)A)->type_name, bname, ((PetscObject)B)->type_name, ((PetscObject)C)->type_name));
  } else {
    PetscCall(PetscInfo(mat, "MatProductType %s for A %s, %s %s\n", MatProductTypes[product->type], ((PetscObject)A)->type_name, bname, ((PetscObject)B)->type_name));
  }
  if (fA == fB && fA == fC && fA) {
    PetscCall(PetscInfo(mat, "  matching op\n"));
    PetscCall((*fA)(mat));
  }
  /* We may have found f but it did not succeed */
  if (!mat->ops->productsymbolic) { /* query MatProductSetFromOptions_Atype_Btype_Ctype */
    char mtypes[256];
    PetscCall(PetscStrncpy(mtypes, "MatProductSetFromOptions_", sizeof(mtypes)));
    PetscCall(PetscStrlcat(mtypes, ((PetscObject)A)->type_name, sizeof(mtypes)));
    PetscCall(PetscStrlcat(mtypes, "_", sizeof(mtypes)));
    PetscCall(PetscStrlcat(mtypes, ((PetscObject)B)->type_name, sizeof(mtypes)));
    if (C) {
      PetscCall(PetscStrlcat(mtypes, "_", sizeof(mtypes)));
      PetscCall(PetscStrlcat(mtypes, ((PetscObject)C)->type_name, sizeof(mtypes)));
    }
    PetscCall(PetscStrlcat(mtypes, "_C", sizeof(mtypes)));
#if defined(__clang__)
    PETSC_PRAGMA_DIAGNOSTIC_IGNORED_BEGIN("-Wformat-pedantic")
#elif defined(__GNUC__) || defined(__GNUG__)
    PETSC_PRAGMA_DIAGNOSTIC_IGNORED_BEGIN("-Wformat")
#endif
    PetscCall(PetscObjectQueryFunction((PetscObject)A, mtypes, &f));
    PetscCall(PetscInfo(mat, "  querying %s from A? %p\n", mtypes, f));
    if (!f) {
      PetscCall(PetscObjectQueryFunction((PetscObject)B, mtypes, &f));
      PetscCall(PetscInfo(mat, "  querying %s from %s? %p\n", mtypes, bname, f));
    }
    if (!f && C) {
      PetscCall(PetscObjectQueryFunction((PetscObject)C, mtypes, &f));
      PetscCall(PetscInfo(mat, "  querying %s from C? %p\n", mtypes, f));
    }
    if (f) PetscCall((*f)(mat));

    /* We may have found f but it did not succeed */
    /* some matrices (i.e. MATTRANSPOSEVIRTUAL, MATSHELL constructed from MatConvert), knows what to do with their inner matrices */
    if (!mat->ops->productsymbolic) {
      PetscCall(PetscStrncpy(mtypes, "MatProductSetFromOptions_anytype_C", sizeof(mtypes)));
      PetscCall(PetscObjectQueryFunction((PetscObject)A, mtypes, &f));
      PetscCall(PetscInfo(mat, "  querying %s from A? %p\n", mtypes, f));
      if (!f) {
        PetscCall(PetscObjectQueryFunction((PetscObject)B, mtypes, &f));
        PetscCall(PetscInfo(mat, "  querying %s from %s? %p\n", mtypes, bname, f));
      }
      if (!f && C) {
        PetscCall(PetscObjectQueryFunction((PetscObject)C, mtypes, &f));
        PetscCall(PetscInfo(mat, "  querying %s from C? %p\n", mtypes, f));
      }
    }
    if (f) PetscCall((*f)(mat));
  }
  PETSC_PRAGMA_DIAGNOSTIC_IGNORED_END()
  /* We may have found f but it did not succeed */
  if (!mat->ops->productsymbolic) {
    /* we can still compute the product if B is of type dense */
    if (product->type == MATPRODUCT_AB || product->type == MATPRODUCT_AtB) {
      PetscBool isdense;

      PetscCall(PetscObjectBaseTypeCompareAny((PetscObject)B, &isdense, MATSEQDENSE, MATMPIDENSE, ""));
      if (isdense) {
        mat->ops->productsymbolic = MatProductSymbolic_X_Dense;
        PetscCall(PetscInfo(mat, "  using basic looping over columns of a dense matrix\n"));
      }
    } else if (product->type != MATPRODUCT_ABt) { /* use MatProductSymbolic/Numeric_Unsafe() for triple products only */
      /*
         TODO: this should be changed to a proper setfromoptions, not setting the symbolic pointer here, because we do not know if
               the combination will succeed. In order to be sure, we need MatProductGetProductType to return the type of the result
               before computing the symbolic phase
      */
      PetscCall(PetscInfo(mat, "  symbolic product not supported, using MatProductSymbolic_Unsafe() implementation\n"));
      mat->ops->productsymbolic = MatProductSymbolic_Unsafe;
    }
  }
  if (!mat->ops->productsymbolic) PetscCall(PetscInfo(mat, "  symbolic product is not supported\n"));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  MatProductSetFromOptions - Sets the options for the computation of a matrix-matrix product operation where the type,
  the algorithm etc are determined from the options database.

  Logically Collective

  Input Parameter:
. mat - the matrix whose values are computed via a matrix-matrix product operation

  Options Database Keys:
+ -mat_product_clear                 - Clear intermediate data structures after `MatProductNumeric()` has been called
. -mat_product_algorithm <algorithm> - Sets the algorithm, see `MatProductAlgorithm` for possible values
- -mat_product_algorithm_backend_cpu - Use the CPU to perform the computation even if the matrix is a GPU matrix

  Level: intermediate

  Note:
  The `-mat_product_clear` option reduces memory usage but means that the matrix cannot be re-used for a matrix-matrix product operation

.seealso: [](ch_matrices), `MatProduct`, `Mat`, `MatSetFromOptions()`, `MatProductCreate()`, `MatProductCreateWithMat()`, `MatProductNumeric()`,
          `MatProductSetType()`, `MatProductSetAlgorithm()`, `MatProductAlgorithm`
@*/
PetscErrorCode MatProductSetFromOptions(Mat mat)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(mat, MAT_CLASSID, 1);
  MatCheckProduct(mat, 1);
  PetscCheck(!mat->product->data, PetscObjectComm((PetscObject)mat), PETSC_ERR_ORDER, "Cannot call MatProductSetFromOptions() with already present data");
  mat->product->setfromoptionscalled = PETSC_TRUE;
  PetscObjectOptionsBegin((PetscObject)mat);
  PetscCall(PetscOptionsBool("-mat_product_clear", "Clear intermediate data structures after MatProductNumeric() has been called", "MatProductClear", mat->product->clear, &mat->product->clear, NULL));
  PetscCall(PetscOptionsDeprecated("-mat_freeintermediatedatastructures", "-mat_product_clear", "3.13", "Or call MatProductClear() after MatProductNumeric()"));
  PetscOptionsEnd();
  PetscCall(MatProductSetFromOptions_Private(mat));
  PetscCheck(mat->product, PetscObjectComm((PetscObject)mat), PETSC_ERR_PLIB, "Missing product after setup phase");
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  MatProductView - View the private matrix-matrix algorithm object within a matrix

  Logically Collective

  Input Parameters:
+ mat    - the matrix obtained with `MatProductCreate()` or `MatProductCreateWithMat()`
- viewer - where the information on the matrix-matrix algorithm of `mat` should be reviewed

  Level: intermediate

  Developer Note:
  Shouldn't this information be printed from an appropriate `MatView()` with perhaps certain formats set?

.seealso: [](ch_matrices), `MatProductType`, `Mat`, `MatProductSetFromOptions()`, `MatView()`, `MatProductCreate()`, `MatProductCreateWithMat()`
@*/
PetscErrorCode MatProductView(Mat mat, PetscViewer viewer)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(mat, MAT_CLASSID, 1);
  if (!mat->product) PetscFunctionReturn(PETSC_SUCCESS);
  if (!viewer) PetscCall(PetscViewerASCIIGetStdout(PetscObjectComm((PetscObject)mat), &viewer));
  PetscValidHeaderSpecific(viewer, PETSC_VIEWER_CLASSID, 2);
  PetscCheckSameComm(mat, 1, viewer, 2);
  if (mat->product->view) PetscCall((*mat->product->view)(mat, viewer));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* these are basic implementations relying on the old function pointers
 * they are dangerous and should be removed in the future */
PetscErrorCode MatProductNumeric_AB(Mat mat)
{
  Mat_Product *product = mat->product;
  Mat          A = product->A, B = product->B;

  PetscFunctionBegin;
  PetscCall((*mat->ops->matmultnumeric)(A, B, mat));
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode MatProductNumeric_AtB(Mat mat)
{
  Mat_Product *product = mat->product;
  Mat          A = product->A, B = product->B;

  PetscFunctionBegin;
  PetscCall((*mat->ops->transposematmultnumeric)(A, B, mat));
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode MatProductNumeric_ABt(Mat mat)
{
  Mat_Product *product = mat->product;
  Mat          A = product->A, B = product->B;

  PetscFunctionBegin;
  PetscCall((*mat->ops->mattransposemultnumeric)(A, B, mat));
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode MatProductNumeric_PtAP(Mat mat)
{
  Mat_Product *product = mat->product;
  Mat          A = product->A, B = product->B;

  PetscFunctionBegin;
  PetscCall((*mat->ops->ptapnumeric)(A, B, mat));
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode MatProductNumeric_RARt(Mat mat)
{
  Mat_Product *product = mat->product;
  Mat          A = product->A, B = product->B;

  PetscFunctionBegin;
  PetscCall((*mat->ops->rartnumeric)(A, B, mat));
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode MatProductNumeric_ABC(Mat mat)
{
  Mat_Product *product = mat->product;
  Mat          A = product->A, B = product->B, C = product->C;

  PetscFunctionBegin;
  PetscCall((*mat->ops->matmatmultnumeric)(A, B, C, mat));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  MatProductNumeric - Compute a matrix-matrix product operation with the numerical values

  Collective

  Input/Output Parameter:
. mat - the matrix whose values are computed via a matrix-matrix product operation

  Level: intermediate

  Note:
  `MatProductSymbolic()` must have been called on `mat` before calling this function

.seealso: [](ch_matrices), `MatProduct`, `Mat`, `MatProductSetAlgorithm()`, `MatProductSetType()`, `MatProductCreate()`, `MatSetType()`, `MatProductSymbolic()`
@*/
PetscErrorCode MatProductNumeric(Mat mat)
{
  PetscLogEvent eventtype = -1;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(mat, MAT_CLASSID, 1);
  MatCheckProduct(mat, 1);
  switch (mat->product->type) {
  case MATPRODUCT_AB:
    eventtype = MAT_MatMultNumeric;
    break;
  case MATPRODUCT_AtB:
    eventtype = MAT_TransposeMatMultNumeric;
    break;
  case MATPRODUCT_ABt:
    eventtype = MAT_MatTransposeMultNumeric;
    break;
  case MATPRODUCT_PtAP:
    eventtype = MAT_PtAPNumeric;
    break;
  case MATPRODUCT_RARt:
    eventtype = MAT_RARtNumeric;
    break;
  case MATPRODUCT_ABC:
    eventtype = MAT_MatMatMultNumeric;
    break;
  default:
    SETERRQ(PetscObjectComm((PetscObject)mat), PETSC_ERR_SUP, "ProductType %s is not supported", MatProductTypes[mat->product->type]);
  }

  if (mat->ops->productnumeric) {
    PetscCall(PetscLogEventBegin(eventtype, mat, 0, 0, 0));
    PetscUseTypeMethod(mat, productnumeric);
    PetscCall(PetscLogEventEnd(eventtype, mat, 0, 0, 0));
  } else if (mat->product) {
    char errstr[256];

    if (mat->product->type == MATPRODUCT_ABC) {
      PetscCall(PetscSNPrintf(errstr, 256, "%s with A %s, B %s, C %s", MatProductTypes[mat->product->type], ((PetscObject)mat->product->A)->type_name, ((PetscObject)mat->product->B)->type_name, ((PetscObject)mat->product->C)->type_name));
    } else {
      PetscCall(PetscSNPrintf(errstr, 256, "%s with A %s, B %s", MatProductTypes[mat->product->type], ((PetscObject)mat->product->A)->type_name, ((PetscObject)mat->product->B)->type_name));
    }
    SETERRQ(PetscObjectComm((PetscObject)mat), PETSC_ERR_PLIB, "Unspecified numeric phase for product %s", errstr);
  }
  PetscCheck(mat->product, PetscObjectComm((PetscObject)mat), PETSC_ERR_PLIB, "Missing struct after numeric phase for product");

  if (mat->product->clear) PetscCall(MatProductClear(mat));
  PetscCall(PetscObjectStateIncrease((PetscObject)mat));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* these are basic implementations relying on the old function pointers
 * they are dangerous and should be removed in the future */
PetscErrorCode MatProductSymbolic_AB(Mat mat)
{
  Mat_Product *product = mat->product;
  Mat          A = product->A, B = product->B;

  PetscFunctionBegin;
  PetscCall((*mat->ops->matmultsymbolic)(A, B, product->fill, mat));
  mat->ops->productnumeric = MatProductNumeric_AB;
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode MatProductSymbolic_AtB(Mat mat)
{
  Mat_Product *product = mat->product;
  Mat          A = product->A, B = product->B;

  PetscFunctionBegin;
  PetscCall((*mat->ops->transposematmultsymbolic)(A, B, product->fill, mat));
  mat->ops->productnumeric = MatProductNumeric_AtB;
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode MatProductSymbolic_ABt(Mat mat)
{
  Mat_Product *product = mat->product;
  Mat          A = product->A, B = product->B;

  PetscFunctionBegin;
  PetscCall((*mat->ops->mattransposemultsymbolic)(A, B, product->fill, mat));
  mat->ops->productnumeric = MatProductNumeric_ABt;
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode MatProductSymbolic_ABC(Mat mat)
{
  Mat_Product *product = mat->product;
  Mat          A = product->A, B = product->B, C = product->C;

  PetscFunctionBegin;
  PetscCall((*mat->ops->matmatmultsymbolic)(A, B, C, product->fill, mat));
  mat->ops->productnumeric = MatProductNumeric_ABC;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  MatProductSymbolic - Perform the symbolic portion of a matrix-matrix product operation, this creates a data structure for use with the numerical
  product to be done with `MatProductNumeric()`

  Collective

  Input/Output Parameter:
. mat - the matrix whose values are to be computed via a matrix-matrix product operation

  Level: intermediate

  Note:
  `MatProductSetFromOptions()` must have been called on `mat` before calling this function

.seealso: [](ch_matrices), `MatProduct`, `Mat`, `MatProductCreate()`, `MatProductCreateWithMat()`, `MatProductSetFromOptions()`, `MatProductNumeric()`, `MatProductSetType()`, `MatProductSetAlgorithm()`
@*/
PetscErrorCode MatProductSymbolic(Mat mat)
{
  PetscLogEvent eventtype = -1;
  PetscBool     missing   = PETSC_FALSE;
  Mat_Product  *product   = mat->product;
  Mat           A         = product->A;
  Mat           B         = product->B;
  Mat           C         = product->C;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(mat, MAT_CLASSID, 1);
  MatCheckProduct(mat, 1);
  PetscCheck(!mat->product->data, PetscObjectComm((PetscObject)mat), PETSC_ERR_ORDER, "Cannot run symbolic phase. Product data not empty");
  switch (mat->product->type) {
  case MATPRODUCT_AB:
    eventtype = MAT_MatMultSymbolic;
    break;
  case MATPRODUCT_AtB:
    eventtype = MAT_TransposeMatMultSymbolic;
    break;
  case MATPRODUCT_ABt:
    eventtype = MAT_MatTransposeMultSymbolic;
    break;
  case MATPRODUCT_PtAP:
    eventtype = MAT_PtAPSymbolic;
    break;
  case MATPRODUCT_RARt:
    eventtype = MAT_RARtSymbolic;
    break;
  case MATPRODUCT_ABC:
    eventtype = MAT_MatMatMultSymbolic;
    break;
  default:
    SETERRQ(PetscObjectComm((PetscObject)mat), PETSC_ERR_SUP, "ProductType %s is not supported", MatProductTypes[mat->product->type]);
  }
  mat->ops->productnumeric = NULL;
  if (mat->ops->productsymbolic) {
    PetscCall(PetscLogEventBegin(eventtype, mat, 0, 0, 0));
    PetscUseTypeMethod(mat, productsymbolic);
    PetscCall(PetscLogEventEnd(eventtype, mat, 0, 0, 0));
  } else missing = PETSC_TRUE;
  if (missing || !mat->product || !mat->ops->productnumeric) {
    char errstr[256];

    if (mat->product->type == MATPRODUCT_ABC) {
      PetscCall(PetscSNPrintf(errstr, 256, "%s with A %s, B %s, C %s", MatProductTypes[mat->product->type], ((PetscObject)mat->product->A)->type_name, ((PetscObject)mat->product->B)->type_name, ((PetscObject)mat->product->C)->type_name));
    } else {
      PetscCall(PetscSNPrintf(errstr, 256, "%s with A %s, B %s", MatProductTypes[mat->product->type], ((PetscObject)mat->product->A)->type_name, ((PetscObject)mat->product->B)->type_name));
    }
    PetscCheck(mat->product->setfromoptionscalled, PetscObjectComm((PetscObject)mat), PETSC_ERR_PLIB, "Unspecified symbolic phase for product %s. Call MatProductSetFromOptions() first", errstr);
    PetscCheck(!missing, PetscObjectComm((PetscObject)mat), PETSC_ERR_SUP, "Unspecified symbolic phase for product %s. The product is not supported", errstr);
    PetscCheck(mat->product, PetscObjectComm((PetscObject)mat), PETSC_ERR_PLIB, "Missing struct after symbolic phase for product %s", errstr);
  }
#if defined(PETSC_HAVE_DEVICE)
  PetscBool bindingpropagates;
  bindingpropagates = (PetscBool)((A->boundtocpu && A->bindingpropagates) || (B->boundtocpu && B->bindingpropagates));
  if (C) bindingpropagates = (PetscBool)(bindingpropagates || (C->boundtocpu && C->bindingpropagates));
  if (bindingpropagates) {
    PetscCall(MatBindToCPU(mat, PETSC_TRUE));
    PetscCall(MatSetBindingPropagates(mat, PETSC_TRUE));
  }
#endif
  /* set block sizes */
  switch (product->type) {
  case MATPRODUCT_PtAP:
    if (B->cmap->bs > 1) PetscCall(MatSetBlockSizes(mat, B->cmap->bs, B->cmap->bs));
    break;
  case MATPRODUCT_RARt:
    if (B->rmap->bs > 1) PetscCall(MatSetBlockSizes(mat, B->rmap->bs, B->rmap->bs));
    break;
  case MATPRODUCT_ABC:
    PetscCall(MatSetBlockSizesFromMats(mat, A, C));
    break;
  case MATPRODUCT_AB:
    PetscCall(MatSetBlockSizesFromMats(mat, A, B));
    break;
  case MATPRODUCT_AtB:
    if (A->cmap->bs > 1 || B->cmap->bs > 1) PetscCall(MatSetBlockSizes(mat, A->cmap->bs, B->cmap->bs));
    break;
  case MATPRODUCT_ABt:
    if (A->rmap->bs > 1 || B->rmap->bs > 1) PetscCall(MatSetBlockSizes(mat, A->rmap->bs, B->rmap->bs));
    break;
  default:
    SETERRQ(PetscObjectComm((PetscObject)mat), PETSC_ERR_PLIB, "Not for ProductType %s", MatProductTypes[product->type]);
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  MatProductSetFill - Set an expected fill of the matrix whose values are computed via a matrix-matrix product operation

  Collective

  Input Parameters:
+ mat  - the matrix whose values are to be computed via a matrix-matrix product operation
- fill - expected fill as ratio of nnz(mat)/(nnz(A) + nnz(B) + nnz(C)); use `PETSC_DETERMINE` or `PETSC_CURRENT` if you do not have a good estimate.
         If the product is a dense matrix, this value is not used.

  Level: intermediate

  Notes:
  Use `fill` of `PETSC_DETERMINE` to use the default value.

  The deprecated `PETSC_DEFAULT` is also supported to mean use the current value.

.seealso: [](ch_matrices), `MatProduct`, `PETSC_DETERMINE`, `Mat`, `MatProductSetFromOptions()`, `MatProductSetType()`, `MatProductSetAlgorithm()`, `MatProductCreate()`
@*/
PetscErrorCode MatProductSetFill(Mat mat, PetscReal fill)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(mat, MAT_CLASSID, 1);
  MatCheckProduct(mat, 1);
  if (fill == (PetscReal)PETSC_DETERMINE) mat->product->fill = mat->product->default_fill;
  else if (fill != (PetscReal)PETSC_CURRENT) mat->product->fill = fill;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  MatProductSetAlgorithm - Requests a particular algorithm for a matrix-matrix product operation that will perform to compute the given matrix

  Collective

  Input Parameters:
+ mat - the matrix whose values are computed via a matrix-matrix product operation
- alg - particular implementation algorithm of the matrix product, e.g., `MATPRODUCTALGORITHMDEFAULT`.

  Options Database Key:
. -mat_product_algorithm <algorithm> - Sets the algorithm, see `MatProductAlgorithm`

  Level: intermediate

.seealso: [](ch_matrices), `MatProduct`, `Mat`, `MatProductClear()`, `MatProductSetType()`, `MatProductSetFill()`, `MatProductCreate()`, `MatProductAlgorithm`, `MatProductType`, `MatProductGetAlgorithm()`
@*/
PetscErrorCode MatProductSetAlgorithm(Mat mat, MatProductAlgorithm alg)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(mat, MAT_CLASSID, 1);
  MatCheckProduct(mat, 1);
  PetscCall(PetscFree(mat->product->alg));
  PetscCall(PetscStrallocpy(alg, &mat->product->alg));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  MatProductGetAlgorithm - Returns the selected algorithm for a matrix-matrix product operation

  Not Collective

  Input Parameter:
. mat - the matrix whose values are computed via a matrix-matrix product operation

  Output Parameter:
. alg - the selected algorithm of the matrix product, e.g., `MATPRODUCTALGORITHMDEFAULT`.

  Level: intermediate

.seealso: [](ch_matrices), `MatProduct`, `Mat`, `MatProductSetAlgorithm()`
@*/
PetscErrorCode MatProductGetAlgorithm(Mat mat, MatProductAlgorithm *alg)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(mat, MAT_CLASSID, 1);
  PetscAssertPointer(alg, 2);
  if (mat->product) *alg = mat->product->alg;
  else *alg = NULL;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  MatProductSetType - Sets a particular matrix-matrix product operation to be used to compute the values of the given matrix

  Collective

  Input Parameters:
+ mat        - the matrix whose values are computed via a matrix-matrix product operation
- productype - matrix product type, e.g., `MATPRODUCT_AB`,`MATPRODUCT_AtB`,`MATPRODUCT_ABt`,`MATPRODUCT_PtAP`,`MATPRODUCT_RARt`,`MATPRODUCT_ABC`,
               see `MatProductType`

  Level: intermediate

  Note:
  The small t represents the transpose operation.

.seealso: [](ch_matrices), `MatProduct`, `Mat`, `MatProductCreate()`, `MatProductType`,
          `MATPRODUCT_AB`, `MATPRODUCT_AtB`, `MATPRODUCT_ABt`, `MATPRODUCT_PtAP`, `MATPRODUCT_RARt`, `MATPRODUCT_ABC`
@*/
PetscErrorCode MatProductSetType(Mat mat, MatProductType productype)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(mat, MAT_CLASSID, 1);
  MatCheckProduct(mat, 1);
  PetscValidLogicalCollectiveEnum(mat, productype, 2);
  if (productype != mat->product->type) {
    if (mat->product->destroy) PetscCall((*mat->product->destroy)(&mat->product->data));
    mat->product->destroy     = NULL;
    mat->product->data        = NULL;
    mat->ops->productsymbolic = NULL;
    mat->ops->productnumeric  = NULL;
  }
  mat->product->type = productype;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  MatProductClear - Clears from the matrix any internal data structures related to the computation of the values of the matrix from matrix-matrix product operations

  Collective

  Input Parameter:
. mat - the matrix whose values are to be computed via a matrix-matrix product operation

  Options Database Key:
. -mat_product_clear - Clear intermediate data structures after `MatProductNumeric()` has been called

  Level: intermediate

  Notes:
  This function should be called to remove any intermediate data used to compute the matrix to free up memory.

  After having called this function, matrix-matrix product operations can no longer be used on `mat`

  Developer Note:
  This frees the `Mat_Product` context that was attached to the matrix during `MatProductCreate()` or `MatProductCreateWithMat()`

.seealso: [](ch_matrices), `MatProduct`, `Mat`, `MatProductCreate()`
@*/
PetscErrorCode MatProductClear(Mat mat)
{
  Mat_Product *product = mat->product;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(mat, MAT_CLASSID, 1);
  if (product) {
    PetscCall(MatDestroy(&product->A));
    PetscCall(MatDestroy(&product->B));
    PetscCall(MatDestroy(&product->C));
    PetscCall(PetscFree(product->alg));
    PetscCall(MatDestroy(&product->Dwork));
    if (product->destroy) PetscCall((*product->destroy)(&product->data));
  }
  PetscCall(PetscFree(mat->product));
  mat->ops->productsymbolic = NULL;
  mat->ops->productnumeric  = NULL;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* Create a supporting struct and attach it to the matrix product */
PetscErrorCode MatProductCreate_Private(Mat A, Mat B, Mat C, Mat D)
{
  Mat_Product *product = NULL;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(D, MAT_CLASSID, 4);
  PetscCheck(!D->product, PetscObjectComm((PetscObject)D), PETSC_ERR_PLIB, "Product already present");
  PetscCall(PetscNew(&product));
  product->A                    = A;
  product->B                    = B;
  product->C                    = C;
  product->type                 = MATPRODUCT_UNSPECIFIED;
  product->Dwork                = NULL;
  product->api_user             = PETSC_FALSE;
  product->clear                = PETSC_FALSE;
  product->setfromoptionscalled = PETSC_FALSE;
  PetscObjectParameterSetDefault(product, fill, 2);
  D->product = product;

  PetscCall(MatProductSetAlgorithm(D, MATPRODUCTALGORITHMDEFAULT));
  PetscCall(MatProductSetFill(D, PETSC_DEFAULT));

  PetscCall(PetscObjectReference((PetscObject)A));
  PetscCall(PetscObjectReference((PetscObject)B));
  PetscCall(PetscObjectReference((PetscObject)C));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  MatProductCreateWithMat - Set a given matrix to have its values computed via matrix-matrix operations on other matrices.

  Collective

  Input Parameters:
+ A - the first matrix
. B - the second matrix
. C - the third matrix (optional, use `NULL` if not needed)
- D - the matrix whose values are to be computed via a matrix-matrix product operation

  Level: intermediate

  Notes:
  Use `MatProductCreate()` if the matrix you wish computed `D` does not exist

  See `MatProductCreate()` for details on the usage of the matrix-matrix product operations

  Any product data currently attached to `D` will be freed

.seealso: [](ch_matrices), `MatProduct`, `Mat`, `MatProductType`, `MatProductSetType()`, `MatProductAlgorithm`,
          `MatProductSetAlgorithm`, `MatProductCreate()`, `MatProductClear()`
@*/
PetscErrorCode MatProductCreateWithMat(Mat A, Mat B, Mat C, Mat D)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(A, MAT_CLASSID, 1);
  PetscValidType(A, 1);
  MatCheckPreallocated(A, 1);
  PetscCheck(A->assembled, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONGSTATE, "Not for unassembled matrix");
  PetscCheck(!A->factortype, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix");

  PetscValidHeaderSpecific(B, MAT_CLASSID, 2);
  PetscValidType(B, 2);
  MatCheckPreallocated(B, 2);
  PetscCheck(B->assembled, PetscObjectComm((PetscObject)B), PETSC_ERR_ARG_WRONGSTATE, "Not for unassembled matrix");
  PetscCheck(!B->factortype, PetscObjectComm((PetscObject)B), PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix");

  if (C) {
    PetscValidHeaderSpecific(C, MAT_CLASSID, 3);
    PetscValidType(C, 3);
    MatCheckPreallocated(C, 3);
    PetscCheck(C->assembled, PetscObjectComm((PetscObject)C), PETSC_ERR_ARG_WRONGSTATE, "Not for unassembled matrix");
    PetscCheck(!C->factortype, PetscObjectComm((PetscObject)C), PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix");
  }

  PetscValidHeaderSpecific(D, MAT_CLASSID, 4);
  PetscValidType(D, 4);
  MatCheckPreallocated(D, 4);
  PetscCheck(D->assembled, PetscObjectComm((PetscObject)D), PETSC_ERR_ARG_WRONGSTATE, "Not for unassembled matrix");
  PetscCheck(!D->factortype, PetscObjectComm((PetscObject)D), PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix");

  /* Create a supporting struct and attach it to D */
  PetscCall(MatProductClear(D));
  PetscCall(MatProductCreate_Private(A, B, C, D));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  MatProductCreate - create a matrix to hold the result of a matrix-matrix (or matrix-matrix-matrix) product operation

  Collective

  Input Parameters:
+ A - the first matrix
. B - the second matrix
- C - the third matrix (or `NULL`)

  Output Parameter:
. D - the matrix whose values are to be computed via a matrix-matrix product operation

  Level: intermediate

  Example:
.vb
    MatProductCreate(A,B,C,&D); or MatProductCreateWithMat(A,B,C,D)
    MatProductSetType(D, MATPRODUCT_AB or MATPRODUCT_AtB or MATPRODUCT_ABt or MATPRODUCT_PtAP or MATPRODUCT_RARt or MATPRODUCT_ABC)
    MatProductSetAlgorithm(D, alg)
    MatProductSetFill(D,fill)
    MatProductSetFromOptions(D)
    MatProductSymbolic(D)
    MatProductNumeric(D)
    Change numerical values in some of the matrices
    MatProductNumeric(D)
.ve

  Notes:
  Use `MatProductCreateWithMat()` if `D` the matrix you wish computed already exists.

  The information computed during the symbolic stage can be reused for new numerical computations with the same non-zero structure of the input matrices.

  Developer Notes:
  It is undocumented what happens if the nonzero structure of the input matrices changes. Is the symbolic stage automatically redone? Does it crash?
  Is there error checking for it?

  On this call, auxiliary data needed to compute the product is stored in `D` in a `Mat_Product` context. A call to `MatProductClear()` frees this
  information.

  Each `MatProductAlgorithm` associated with a particular `MatType` stores additional data needed for the product computation
  (generally this data is computed in `MatProductSymbolic()`) inside the `Mat_Product` context in a `MatProductCtx_XXX` data structure
  and provides a `MatProductCtxDestroy_XXX()` routine to free that data. The `MatProductAlgorithm` and `MatType` specific destroy routine is called by
  `MatProductClear()`.

.seealso: [](ch_matrices), `MatProduct`, `Mat`, `MatProductCreateWithMat()`, `MatProductSetType()`, `MatProductSetAlgorithm()`, `MatProductClear()`,
          `MatProductSymbolic()`, `MatProductNumeric()`, `MatProductAlgorithm`, `MatProductType`
@*/
PetscErrorCode MatProductCreate(Mat A, Mat B, Mat C, Mat *D)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(A, MAT_CLASSID, 1);
  PetscValidType(A, 1);
  PetscValidHeaderSpecific(B, MAT_CLASSID, 2);
  PetscValidType(B, 2);
  PetscCheck(!A->factortype, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix A");
  PetscCheck(!B->factortype, PetscObjectComm((PetscObject)B), PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix B");

  if (C) {
    PetscValidHeaderSpecific(C, MAT_CLASSID, 3);
    PetscValidType(C, 3);
    PetscCheck(!C->factortype, PetscObjectComm((PetscObject)C), PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix C");
  }

  PetscAssertPointer(D, 4);
  PetscCall(MatCreate(PetscObjectComm((PetscObject)A), D));
  /* Delay setting type of D to the MatProduct symbolic phase, as we allow sparse A and dense B */
  PetscCall(MatProductCreate_Private(A, B, C, *D));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*
   These are safe basic implementations of ABC, RARt and PtAP
   that do not rely on mat->ops->matmatop function pointers.
   They only use the MatProduct API and are currently used by
   cuSPARSE and KOKKOS-KERNELS backends
*/
typedef struct {
  Mat BC;
  Mat ABC;
} MatProductCtx_MatMatMatPrivate;

static PetscErrorCode MatProductCtxDestroy_MatMatMatPrivate(PetscCtxRt data)
{
  MatProductCtx_MatMatMatPrivate *mmdata = *(MatProductCtx_MatMatMatPrivate **)data;

  PetscFunctionBegin;
  PetscCall(MatDestroy(&mmdata->BC));
  PetscCall(MatDestroy(&mmdata->ABC));
  PetscCall(PetscFree(mmdata));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatProductNumeric_ABC_Basic(Mat mat)
{
  Mat_Product                    *product = mat->product;
  MatProductCtx_MatMatMatPrivate *mmabc;

  PetscFunctionBegin;
  MatCheckProduct(mat, 1);
  PetscCheck(mat->product->data, PetscObjectComm((PetscObject)mat), PETSC_ERR_PLIB, "Product data empty");
  mmabc = (MatProductCtx_MatMatMatPrivate *)mat->product->data;
  PetscCheck(mmabc->BC->ops->productnumeric, PetscObjectComm((PetscObject)mat), PETSC_ERR_PLIB, "Missing numeric stage");
  /* use function pointer directly to prevent logging */
  PetscCall((*mmabc->BC->ops->productnumeric)(mmabc->BC));
  /* swap ABC product stuff with that of ABC for the numeric phase on mat */
  mat->product             = mmabc->ABC->product;
  mat->ops->productnumeric = mmabc->ABC->ops->productnumeric;
  /* use function pointer directly to prevent logging */
  PetscUseTypeMethod(mat, productnumeric);
  mat->ops->productnumeric = MatProductNumeric_ABC_Basic;
  mat->product             = product;
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode MatProductSymbolic_ABC_Basic(Mat mat)
{
  Mat_Product                    *product = mat->product;
  Mat                             A, B, C;
  MatProductType                  p1, p2;
  MatProductCtx_MatMatMatPrivate *mmabc;
  const char                     *prefix;

  PetscFunctionBegin;
  MatCheckProduct(mat, 1);
  PetscCheck(!mat->product->data, PetscObjectComm((PetscObject)mat), PETSC_ERR_PLIB, "Product data not empty");
  PetscCall(MatGetOptionsPrefix(mat, &prefix));
  PetscCall(PetscNew(&mmabc));
  product->data    = mmabc;
  product->destroy = MatProductCtxDestroy_MatMatMatPrivate;
  switch (product->type) {
  case MATPRODUCT_PtAP:
    p1 = MATPRODUCT_AB;
    p2 = MATPRODUCT_AtB;
    A  = product->B;
    B  = product->A;
    C  = product->B;
    if (A->cmap->bs > 0 && C->cmap->bs > 0) PetscCall(MatSetBlockSizes(mat, A->cmap->bs, C->cmap->bs));
    break;
  case MATPRODUCT_RARt:
    p1 = MATPRODUCT_ABt;
    p2 = MATPRODUCT_AB;
    A  = product->B;
    B  = product->A;
    C  = product->B;
    if (A->rmap->bs > 0 && C->rmap->bs > 0) PetscCall(MatSetBlockSizes(mat, A->rmap->bs, C->rmap->bs));
    break;
  case MATPRODUCT_ABC:
    p1 = MATPRODUCT_AB;
    p2 = MATPRODUCT_AB;
    A  = product->A;
    B  = product->B;
    C  = product->C;
    PetscCall(MatSetBlockSizesFromMats(mat, A, C));
    break;
  default:
    SETERRQ(PetscObjectComm((PetscObject)mat), PETSC_ERR_PLIB, "Not for ProductType %s", MatProductTypes[product->type]);
  }
  PetscCall(MatProductCreate(B, C, NULL, &mmabc->BC));
  PetscCall(MatSetOptionsPrefix(mmabc->BC, prefix));
  PetscCall(MatAppendOptionsPrefix(mmabc->BC, "P1_"));
  PetscCall(MatProductSetType(mmabc->BC, p1));
  PetscCall(MatProductSetAlgorithm(mmabc->BC, MATPRODUCTALGORITHMDEFAULT));
  PetscCall(MatProductSetFill(mmabc->BC, product->fill));
  mmabc->BC->product->api_user = product->api_user;
  PetscCall(MatProductSetFromOptions(mmabc->BC));
  PetscCheck(mmabc->BC->ops->productsymbolic, PetscObjectComm((PetscObject)mat), PETSC_ERR_SUP, "Symbolic ProductType %s not supported with %s and %s", MatProductTypes[p1], ((PetscObject)B)->type_name, ((PetscObject)C)->type_name);
  /* use function pointer directly to prevent logging */
  PetscCall((*mmabc->BC->ops->productsymbolic)(mmabc->BC));

  PetscCall(MatProductCreate(A, mmabc->BC, NULL, &mmabc->ABC));
  PetscCall(MatSetOptionsPrefix(mmabc->ABC, prefix));
  PetscCall(MatAppendOptionsPrefix(mmabc->ABC, "P2_"));
  PetscCall(MatProductSetType(mmabc->ABC, p2));
  PetscCall(MatProductSetAlgorithm(mmabc->ABC, MATPRODUCTALGORITHMDEFAULT));
  PetscCall(MatProductSetFill(mmabc->ABC, product->fill));
  mmabc->ABC->product->api_user = product->api_user;
  PetscCall(MatProductSetFromOptions(mmabc->ABC));
  PetscCheck(mmabc->ABC->ops->productsymbolic, PetscObjectComm((PetscObject)mat), PETSC_ERR_SUP, "Symbolic ProductType %s not supported with %s and %s", MatProductTypes[p2], ((PetscObject)A)->type_name, ((PetscObject)mmabc->BC)->type_name);
  /* swap ABC product stuff with that of ABC for the symbolic phase on mat */
  mat->product              = mmabc->ABC->product;
  mat->ops->productsymbolic = mmabc->ABC->ops->productsymbolic;
  /* use function pointer directly to prevent logging */
  PetscUseTypeMethod(mat, productsymbolic);
  mmabc->ABC->ops->productnumeric = mat->ops->productnumeric;
  mat->ops->productsymbolic       = MatProductSymbolic_ABC_Basic;
  mat->ops->productnumeric        = MatProductNumeric_ABC_Basic;
  mat->product                    = product;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  MatProductGetType - Returns the type of matrix-matrix product associated with computing values for the given matrix

  Not Collective

  Input Parameter:
. mat - the matrix whose values are to be computed via a matrix-matrix product operation

  Output Parameter:
. mtype - the `MatProductType`

  Level: intermediate

.seealso: [](ch_matrices), `MatProduct`, `Mat`, `MatProductCreateWithMat()`, `MatProductSetType()`, `MatProductCreate()`, `MatProductType`, `MatProductAlgorithm`
@*/
PetscErrorCode MatProductGetType(Mat mat, MatProductType *mtype)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(mat, MAT_CLASSID, 1);
  PetscAssertPointer(mtype, 2);
  *mtype = MATPRODUCT_UNSPECIFIED;
  if (mat->product) *mtype = mat->product->type;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  MatProductGetMats - Returns the matrices associated with the matrix-matrix product associated with computing values for the given matrix

  Not Collective

  Input Parameter:
. mat - the matrix whose values are to be computed via a matrix-matrix product operation

  Output Parameters:
+ A - the first matrix
. B - the second matrix
- C - the third matrix (may be `NULL` for some `MatProductType`)

  Level: intermediate

.seealso: [](ch_matrices), `MatProduct`, `Mat`, `MatProductCreateWithMat()`, `MatProductSetType()`, `MatProductSetAlgorithm()`, `MatProductCreate()`
@*/
PetscErrorCode MatProductGetMats(Mat mat, Mat *A, Mat *B, Mat *C)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(mat, MAT_CLASSID, 1);
  if (A) *A = mat->product ? mat->product->A : NULL;
  if (B) *B = mat->product ? mat->product->B : NULL;
  if (C) *C = mat->product ? mat->product->C : NULL;
  PetscFunctionReturn(PETSC_SUCCESS);
}