  Residual norms for rap_ solve.
  0 KSP Residual norm 4.031634755026e+03
  1 KSP Residual norm 3.491894848619e+02
  2 KSP Residual norm 2.770121266406e+02
  3 KSP Residual norm 1.075741470651e+02
  4 KSP Residual norm 5.988848697006e+01
  5 KSP Residual norm 2.202460856976e+01
  6 KSP Residual norm 9.816934131307e+00
  7 KSP Residual norm 4.212695789328e+00
  8 KSP Residual norm 2.108928837859e+00
  9 KSP Residual norm 1.354516880530e+00
 10 KSP Residual norm 8.624792000507e-01
 11 KSP Residual norm 4.280773369774e-01
 12 KSP Residual norm 1.981913963473e-01
 13 KSP Residual norm 1.175981441474e-01
 14 KSP Residual norm 6.208336820409e-02
 15 KSP Residual norm 2.616687535027e-02
  Linear rap_ solve converged due to CONVERGED_RTOL iterations 15
KSP Object: (rap_) 1 MPI process
  type: gmres
    restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with no iterative refinement
    happy breakdown tolerance=1e-30
  maximum iterations=10000, initial guess is zero
  tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
  left preconditioning
  using PRECONDITIONED norm type for convergence test
PC Object: (rap_) 1 MPI process
  type: mg
    type is MULTIPLICATIVE, levels=2 cycles=v
      Cycles per PCApply=1
      Using Galerkin computed coarse grid matrices for pmat
  Coarse grid solver -- level 0 -------------------------------
    KSP Object: (rap_mg_coarse_) 1 MPI process
      type: cg
      maximum iterations=10000, initial guess is zero
      tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
      left preconditioning
      using PRECONDITIONED norm type for convergence test
    PC Object: (rap_mg_coarse_) 1 MPI process
      type: jacobi
        type DIAGONAL
      linear system matrix, which is also used to construct the preconditioner:
      Mat Object: 1 MPI process
        type: seqaijcusparse
        rows=102, cols=102, bs=6
        total: nonzeros=7740, allocated nonzeros=7740
        total number of mallocs used during MatSetValues calls=0
          not using I-node routines
  Down solver (pre-smoother) on level 1 -------------------------------
    KSP Object: (rap_mg_levels_1_) 1 MPI process
      type: richardson
        damping factor=1.
      maximum iterations=2, nonzero initial guess
      tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
      left preconditioning
      not checking for convergence
    PC Object: (rap_mg_levels_1_) 1 MPI process
      type: jacobi
        type ROWL1 (l1-norm off-diagonal scaling 5.000000e-01)
      linear system matrix, which is also used to construct the preconditioner:
      Mat Object: 1 MPI process
        type: seqaijcusparse
        rows=1536, cols=1536, bs=3
        total: nonzeros=95832, allocated nonzeros=95832
        total number of mallocs used during MatSetValues calls=0
          has attached near null space
          not using I-node routines
  Up solver (post-smoother) same as down solver (pre-smoother)
  linear system matrix, which is also used to construct the preconditioner:
  Mat Object: 1 MPI process
    type: seqaijcusparse
    rows=1536, cols=1536, bs=3
    total: nonzeros=95832, allocated nonzeros=95832
    total number of mallocs used during MatSetValues calls=0
      has attached near null space
      not using I-node routines
Mat Object: 1 MPI process
  type: seqaijcusparse
  rows=102, cols=102, bs=6
  total: nonzeros=7740, allocated nonzeros=7740
  total number of mallocs used during MatSetValues calls=0
    not using I-node routines
