  0 KSP Residual norm 1.5288
  1 KSP Residual norm 0.461115
  2 KSP Residual norm 0.284905
  3 KSP Residual norm 0.139317
  4 KSP Residual norm 0.0192523
  5 KSP Residual norm 0.00651145
  6 KSP Residual norm 0.00059631
  7 KSP Residual norm 3.67561e-05
  8 KSP Residual norm 9.06958e-07
KSP Object: 1 MPI process
  type: gmres
    restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with one step of iterative refinement
    happy breakdown tolerance=1e-30
  maximum iterations=10000, initial guess is zero
  tolerances: relative=1e-05, absolute=1e-25, divergence=10000.
  left preconditioning
  using PRECONDITIONED norm type for convergence test
PC Object: 1 MPI process
  type: eisenstat
    omega = 1.
    Using diagonal scaling (default)
  linear system matrix, which is also used to construct the preconditioner:
  Mat Object: 1 MPI process
    type: seqaijcusparse
    rows=10, cols=10
    total: nonzeros=28, allocated nonzeros=28
    total number of mallocs used during MatSetValues calls=0
      not using I-node routines
Norm of error 9.83025e-07, Iterations 8
  0 KSP Residual norm 1.43759
  1 KSP Residual norm 0.0531118
  2 KSP Residual norm 0.00135003
  3 KSP Residual norm 2.87686e-05
  4 KSP Residual norm 5.25494e-07
KSP Object: 1 MPI process
  type: gmres
    restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with one step of iterative refinement
    happy breakdown tolerance=1e-30
  maximum iterations=10000, initial guess is zero
  tolerances: relative=1e-05, absolute=1e-25, divergence=10000.
  left preconditioning
  using PRECONDITIONED norm type for convergence test
PC Object: 1 MPI process
  type: eisenstat
    omega = 1.
    Using diagonal scaling (default)
  linear system matrix, which is also used to construct the preconditioner:
  Mat Object: 1 MPI process
    type: seqaijcusparse
    rows=10, cols=10
    total: nonzeros=28, allocated nonzeros=28
    total number of mallocs used during MatSetValues calls=0
      not using I-node routines
