  0 KSP Residual norm 0.707107
  1 KSP Residual norm 0.316228
  2 KSP Residual norm 0.188982
  3 KSP Residual norm 0.129099
  4 KSP Residual norm 0.0953463
  5 KSP Residual norm < 1.e-11
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: jacobi
    type DIAGONAL
  linear system matrix = precond matrix:
  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 5.26414e-07, Iterations 5
  0 KSP Residual norm 0.353553
  1 KSP Residual norm 0.0857493
  2 KSP Residual norm 0.0227273
  3 KSP Residual norm 0.0060831
  4 KSP Residual norm 0.0016298
  5 KSP Residual norm < 1.e-11
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: jacobi
    type DIAGONAL
  linear system matrix = precond matrix:
  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
