  0 KSP Residual norm 0.968764 
  1 KSP Residual norm 0.361001 
  2 KSP Residual norm 0.247329 
  3 KSP Residual norm 0.0808915 
  4 KSP Residual norm 0.01289 
  5 KSP Residual norm 0.00375064 
  6 KSP Residual norm 0.000294092 
  7 KSP Residual norm 1.40861e-05 
  8 KSP Residual norm 3.48864e-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: sor
    type = symmetric, iterations = 1, local iterations = 1, omega = 1.
  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 6.92543e-07, Iterations 8
  0 KSP Residual norm 0.377523 
  1 KSP Residual norm 0.0140399 
  2 KSP Residual norm 0.000364106 
  3 KSP Residual norm 7.83045e-06 
  4 KSP Residual norm 1.33045e-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: sor
    type = symmetric, iterations = 1, local iterations = 1, omega = 1.
  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
