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//------------------------------------------------------------------------------
// GB_Vector_diag: extract a diagonal from a matrix, as a vector
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
#define GB_FREE_WORKSPACE \
{ \
GB_Matrix_free (&T) ; \
}
#define GB_FREE_ALL \
{ \
GB_FREE_WORKSPACE ; \
GB_phybix_free (V) ; \
}
#include "GB_diag.h"
#include "GB_select.h"
GrB_Info GB_Vector_diag // extract a diagonal from a matrix, as a vector
(
GrB_Matrix V, // output vector (as an n-by-1 matrix)
const GrB_Matrix A, // input matrix
int64_t k,
GB_Context Context
)
{
//--------------------------------------------------------------------------
// check inputs
//--------------------------------------------------------------------------
GrB_Info info ;
ASSERT_MATRIX_OK (A, "A input for GB_Vector_diag", GB0) ;
ASSERT_MATRIX_OK (V, "V input for GB_Vector_diag", GB0) ;
ASSERT (GB_VECTOR_OK (V)) ; // V is a vector on input
ASSERT (!GB_aliased (A, V)) ; // A and V cannot be aliased
ASSERT (!GB_IS_HYPERSPARSE (V)) ; // vectors cannot be hypersparse
struct GB_Matrix_opaque T_header ;
GrB_Matrix T = NULL ;
GrB_Type atype = A->type ;
GrB_Type vtype = V->type ;
int64_t nrows = GB_NROWS (A) ;
int64_t ncols = GB_NCOLS (A) ;
int64_t n ;
if (k >= ncols || k <= -nrows)
{
// output vector V must have zero length
n = 0 ;
}
else if (k >= 0)
{
// if k is in range 0 to n-1, V must have length min (m,n-k)
n = GB_IMIN (nrows, ncols - k) ;
}
else
{
// if k is in range -1 to -m+1, V must have length min (m+k,n)
n = GB_IMIN (nrows + k, ncols) ;
}
if (n != V->vlen)
{
GB_ERROR (GrB_DIMENSION_MISMATCH,
"Input vector must have size " GBd "\n", n) ;
}
if (!GB_Type_compatible (atype, vtype))
{
GB_ERROR (GrB_DOMAIN_MISMATCH, "Input matrix of type [%s] "
"cannot be typecast to output of type [%s]\n",
atype->name, vtype->name) ;
}
//--------------------------------------------------------------------------
// finish any pending work in A and clear the output vector V
//--------------------------------------------------------------------------
GB_MATRIX_WAIT (A) ;
GB_phybix_free (V) ;
//--------------------------------------------------------------------------
// handle the CSR/CSC format of A
//--------------------------------------------------------------------------
bool csc = A->is_csc ;
if (!csc)
{
// The kth diagonal of a CSC matrix is the same as the (-k)th diagonal
// of the CSR format, so if A is CSR, negate the value of k. Then
// treat A as if it were CSC in the rest of this method.
k = -k ;
}
//--------------------------------------------------------------------------
// extract the kth diagonal of A into the temporary hypersparse matrix T
//--------------------------------------------------------------------------
GB_CLEAR_STATIC_HEADER (T, &T_header) ;
GB_OK (GB_selector (
T, // output matrix
GB_DIAG_selop_code, // just use the DIAG opcode
NULL, // do not use the GB_Operator
false, // flipij is false
A, // input matrix
k, // ithunk = k
NULL, // no GrB_Scalar Thunk
Context)) ;
GB_OK (GB_convert_any_to_hyper (T, Context)) ;
GB_MATRIX_WAIT (T) ;
ASSERT_MATRIX_OK (T, "T = diag (A,k)", GB0) ;
//--------------------------------------------------------------------------
// transplant the pattern of T into the sparse vector V
//--------------------------------------------------------------------------
int64_t vnz = GB_nnz (T) ;
float bitmap_switch = V->bitmap_switch ;
int sparsity_control = V->sparsity_control ;
GB_OK (GB_new (&V, // existing header
vtype, n, 1, GB_Ap_malloc, true, GxB_SPARSE,
GxB_NEVER_HYPER, 1, Context)) ;
V->sparsity_control = sparsity_control ;
V->bitmap_switch = bitmap_switch ;
V->iso = T->iso ; // OK
if (V->iso)
{
GBURBLE ("(iso diag) ") ;
}
V->p [0] = 0 ;
V->p [1] = vnz ;
V->nvals = vnz ;
if (k >= 0)
{
// transplant T->i into V->i
V->i = T->i ;
V->i_size = T->i_size ;
T->i = NULL ;
}
else
{
// transplant T->h into V->i
V->i = T->h ;
V->i_size = T->h_size ;
T->h = NULL ;
}
//--------------------------------------------------------------------------
// transplant or typecast the values from T to V
//--------------------------------------------------------------------------
GB_Type_code vcode = vtype->code ;
GB_Type_code acode = atype->code ;
if (vcode == acode)
{
// transplant T->x into V->x
V->x = T->x ;
V->x_size = T->x_size ;
T->x = NULL ;
}
else
{
// V->x = (vtype) T->x
// V is sparse so malloc is OK
V->x = GB_XALLOC (false, V->iso, vnz, vtype->size, &(V->x_size)) ;
if (V->x == NULL)
{
// out of memory
GB_FREE_ALL ;
return (GrB_OUT_OF_MEMORY) ;
}
GB_cast_matrix (V, T, Context) ;
}
//--------------------------------------------------------------------------
// finalize the vector V
//--------------------------------------------------------------------------
V->jumbled = T->jumbled ;
V->nvec_nonempty = (vnz == 0) ? 0 : 1 ;
V->magic = GB_MAGIC ;
//--------------------------------------------------------------------------
// free workspace, conform V to its desired format, and return result
//--------------------------------------------------------------------------
GB_FREE_WORKSPACE ;
ASSERT_MATRIX_OK (V, "V before conform for GB_Vector_diag", GB0) ;
GB_OK (GB_conform (V, Context)) ;
ASSERT_MATRIX_OK (V, "V output for GB_Vector_diag", GB0) ;
return (GrB_SUCCESS) ;
}
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