lapack_int LAPACKE_cungql	(	int	matrix_layout,
		lapack_int	m,
		lapack_int	n,
		lapack_int	k,
		lapack_complex_float *	a,
		lapack_int	lda,
		const lapack_complex_float *	tau
	)

Definition at line 36 of file lapacke_cungql.c.

{
    lapack_int info = 0;
    lapack_int lwork = -1;
    lapack_complex_float* work = NULL;
    lapack_complex_float work_query;
    if( matrix_layout != LAPACK_COL_MAJOR && matrix_layout != LAPACK_ROW_MAJOR ) {
        LAPACKE_xerbla( "LAPACKE_cungql", -1 );
        return -1;
    }
#ifndef LAPACK_DISABLE_NAN_CHECK
    /* Optionally check input matrices for NaNs */
    if( LAPACKE_cge_nancheck( matrix_layout, m, n, a, lda ) ) {
        return -5;
    }
    if( LAPACKE_c_nancheck( k, tau, 1 ) ) {
        return -7;
    }
#endif
    /* Query optimal working array(s) size */
    info = LAPACKE_cungql_work( matrix_layout, m, n, k, a, lda, tau, &work_query,
                                lwork );
    if( info != 0 ) {
        goto exit_level_0;
    }
    lwork = LAPACK_C2INT( work_query );
    /* Allocate memory for work arrays */
    work = (lapack_complex_float*)
        LAPACKE_malloc( sizeof(lapack_complex_float) * lwork );
    if( work == NULL ) {
        info = LAPACK_WORK_MEMORY_ERROR;
        goto exit_level_0;
    }
    /* Call middle-level interface */
    info = LAPACKE_cungql_work( matrix_layout, m, n, k, a, lda, tau, work,
                                lwork );
    /* Release memory and exit */
    LAPACKE_free( work );
exit_level_0:
    if( info == LAPACK_WORK_MEMORY_ERROR ) {
        LAPACKE_xerbla( "LAPACKE_cungql", info );
    }
    return info;
}

Here is the call graph for this function: