def eval_tangent_matrix(self, snes, psol, pmtx, ppmtx):
self.scatter(self.psol_i, psol)
mtx_if = BasicEvaluator.eval_tangent_matrix(self, self.psol_i[...], is_full=True)
pp.apply_ebc_to_matrix(mtx_if, self.ebc_rows)
pp.assemble_mtx_to_petsc(
pmtx, mtx_if, self.pdofs, self.drange, self.is_overlap, self.comm, verbose=self.verbose
)
def eval_tangent_matrix(self, snes, psol, pmtx, ppmtx):
self.scatter(self.psol_i, psol)
mtx_if = BasicEvaluator.eval_tangent_matrix(self,
self.psol_i[...],
is_full=True)
pp.assemble_mtx_to_petsc(pmtx,
mtx_if,
self.pdofs,
self.drange,
self.is_overlap,
self.comm,
verbose=self.verbose)
def solve_problem(mesh_filename, options, comm):
order = options.order
rank, size = comm.Get_rank(), comm.Get_size()
output('rank', rank, 'of', size)
mesh = Mesh.from_file(mesh_filename)
if rank == 0:
cell_tasks = pl.partition_mesh(mesh, size, use_metis=options.metis,
verbose=True)
else:
cell_tasks = None
domain = FEDomain('domain', mesh)
omega = domain.create_region('Omega', 'all')
field = Field.from_args('fu', nm.float64, 1, omega, approx_order=order)
output('distributing field %s...' % field.name)
tt = time.clock()
distribute = pl.distribute_fields_dofs
lfds, gfds = distribute([field], cell_tasks,
is_overlap=True,
save_inter_regions=options.save_inter_regions,
output_dir=options.output_dir,
comm=comm, verbose=True)
lfd = lfds[0]
output('...done in', time.clock() - tt)
if rank == 0:
dof_maps = gfds[0].dof_maps
id_map = gfds[0].id_map
if options.verify:
verify_save_dof_maps(field, cell_tasks,
dof_maps, id_map, options, verbose=True)
if options.plot:
ppd.plot_partitioning([None, None], field, cell_tasks, gfds[0],
options.output_dir, size)
output('creating local problem...')
tt = time.clock()
omega_gi = Region.from_cells(lfd.cells, field.domain)
omega_gi.finalize()
omega_gi.update_shape()
pb = create_local_problem(omega_gi, order)
output('...done in', time.clock() - tt)
variables = pb.get_variables()
eqs = pb.equations
u_i = variables['u_i']
field_i = u_i.field
if options.plot:
ppd.plot_local_dofs([None, None], field, field_i, omega_gi,
options.output_dir, rank)
output('allocating global system...')
tt = time.clock()
sizes, drange = pl.get_sizes(lfd.petsc_dofs_range, field.n_nod, 1)
output('sizes:', sizes)
output('drange:', drange)
pdofs = pl.get_local_ordering(field_i, lfd.petsc_dofs_conn)
output('pdofs:', pdofs)
pmtx, psol, prhs = pl.create_petsc_system(pb.mtx_a, sizes, pdofs, drange,
is_overlap=True, comm=comm,
verbose=True)
output('...done in', time.clock() - tt)
output('evaluating local problem...')
tt = time.clock()
state = State(variables)
state.fill(0.0)
state.apply_ebc()
rhs_i = eqs.eval_residuals(state())
# This must be after pl.create_petsc_system() call!
mtx_i = eqs.eval_tangent_matrices(state(), pb.mtx_a)
output('...done in', time.clock() - tt)
output('assembling global system...')
tt = time.clock()
pl.apply_ebc_to_matrix(mtx_i, u_i.eq_map.eq_ebc)
pl.assemble_rhs_to_petsc(prhs, rhs_i, pdofs, drange, is_overlap=True,
comm=comm, verbose=True)
pl.assemble_mtx_to_petsc(pmtx, mtx_i, pdofs, drange, is_overlap=True,
comm=comm, verbose=True)
output('...done in', time.clock() - tt)
output('creating solver...')
tt = time.clock()
conf = Struct(method='cg', precond='gamg', sub_precond=None,
i_max=10000, eps_a=1e-50, eps_r=1e-5, eps_d=1e4, verbose=True)
status = {}
ls = PETScKrylovSolver(conf, comm=comm, mtx=pmtx, status=status)
output('...done in', time.clock() - tt)
output('solving...')
tt = time.clock()
psol = ls(prhs, psol, conf)
psol_i = pl.create_local_petsc_vector(pdofs)
gather, scatter = pl.create_gather_scatter(pdofs, psol_i, psol, comm=comm)
scatter(psol_i, psol)
sol0_i = state() - psol_i[...]
psol_i[...] = sol0_i
gather(psol, psol_i)
output('...done in', time.clock() - tt)
output('saving solution...')
tt = time.clock()
u_i.set_data(sol0_i)
out = u_i.create_output()
filename = os.path.join(options.output_dir, 'sol_%02d.h5' % comm.rank)
pb.domain.mesh.write(filename, io='auto', out=out)
gather_to_zero = pl.create_gather_to_zero(psol)
psol_full = gather_to_zero(psol)
if comm.rank == 0:
sol = psol_full[...].copy()[id_map]
u = FieldVariable('u', 'parameter', field,
primary_var_name='(set-to-None)')
filename = os.path.join(options.output_dir, 'sol.h5')
if (order == 1) or (options.linearization == 'strip'):
out = u.create_output(sol)
mesh.write(filename, io='auto', out=out)
else:
out = u.create_output(sol, linearization=Struct(kind='adaptive',
min_level=0,
max_level=order,
eps=1e-3))
out['u'].mesh.write(filename, io='auto', out=out)
output('...done in', time.clock() - tt)
if options.show:
plt.show()
def solve_problem(mesh_filename, options, comm):
order = options.order
rank, size = comm.Get_rank(), comm.Get_size()
output('rank', rank, 'of', size)
mesh = Mesh.from_file(mesh_filename)
if rank == 0:
cell_tasks = pl.partition_mesh(mesh,
size,
use_metis=options.metis,
verbose=True)
else:
cell_tasks = None
output('creating global domain and field...')
tt = time.clock()
domain = FEDomain('domain', mesh)
omega = domain.create_region('Omega', 'all')
field = Field.from_args('fu', nm.float64, 1, omega, approx_order=order)
output('...done in', time.clock() - tt)
output('distributing field %s...' % field.name)
tt = time.clock()
distribute = pl.distribute_fields_dofs
lfds, gfds = distribute([field],
cell_tasks,
is_overlap=True,
save_inter_regions=options.save_inter_regions,
output_dir=options.output_dir,
comm=comm,
verbose=True)
lfd = lfds[0]
output('...done in', time.clock() - tt)
if rank == 0:
dof_maps = gfds[0].dof_maps
id_map = gfds[0].id_map
if options.verify:
verify_save_dof_maps(field,
cell_tasks,
dof_maps,
id_map,
options,
verbose=True)
if options.plot:
ppd.plot_partitioning([None, None], field, cell_tasks, gfds[0],
options.output_dir, size)
output('creating local problem...')
tt = time.clock()
omega_gi = Region.from_cells(lfd.cells, field.domain)
omega_gi.finalize()
omega_gi.update_shape()
pb = create_local_problem(omega_gi, order)
output('...done in', time.clock() - tt)
variables = pb.get_variables()
eqs = pb.equations
u_i = variables['u_i']
field_i = u_i.field
if options.plot:
ppd.plot_local_dofs([None, None], field, field_i, omega_gi,
options.output_dir, rank)
output('allocating global system...')
tt = time.clock()
sizes, drange = pl.get_sizes(lfd.petsc_dofs_range, field.n_nod, 1)
output('sizes:', sizes)
output('drange:', drange)
pdofs = pl.get_local_ordering(field_i, lfd.petsc_dofs_conn)
output('pdofs:', pdofs)
pmtx, psol, prhs = pl.create_petsc_system(pb.mtx_a,
sizes,
pdofs,
drange,
is_overlap=True,
comm=comm,
verbose=True)
output('...done in', time.clock() - tt)
output('evaluating local problem...')
tt = time.clock()
state = State(variables)
state.fill(0.0)
state.apply_ebc()
rhs_i = eqs.eval_residuals(state())
# This must be after pl.create_petsc_system() call!
mtx_i = eqs.eval_tangent_matrices(state(), pb.mtx_a)
output('...done in', time.clock() - tt)
output('assembling global system...')
tt = time.clock()
apply_ebc_to_matrix(mtx_i, u_i.eq_map.eq_ebc)
pl.assemble_rhs_to_petsc(prhs,
rhs_i,
pdofs,
drange,
is_overlap=True,
comm=comm,
verbose=True)
pl.assemble_mtx_to_petsc(pmtx,
mtx_i,
pdofs,
drange,
is_overlap=True,
comm=comm,
verbose=True)
output('...done in', time.clock() - tt)
output('creating solver...')
tt = time.clock()
conf = Struct(method='cg',
precond='gamg',
sub_precond='none',
i_max=10000,
eps_a=1e-50,
eps_r=1e-5,
eps_d=1e4,
verbose=True)
status = {}
ls = PETScKrylovSolver(conf, comm=comm, mtx=pmtx, status=status)
output('...done in', time.clock() - tt)
output('solving...')
tt = time.clock()
psol = ls(prhs, psol)
psol_i = pl.create_local_petsc_vector(pdofs)
gather, scatter = pl.create_gather_scatter(pdofs, psol_i, psol, comm=comm)
scatter(psol_i, psol)
sol0_i = state() - psol_i[...]
psol_i[...] = sol0_i
gather(psol, psol_i)
output('...done in', time.clock() - tt)
output('saving solution...')
tt = time.clock()
u_i.set_data(sol0_i)
out = u_i.create_output()
filename = os.path.join(options.output_dir, 'sol_%02d.h5' % comm.rank)
pb.domain.mesh.write(filename, io='auto', out=out)
gather_to_zero = pl.create_gather_to_zero(psol)
psol_full = gather_to_zero(psol)
if comm.rank == 0:
sol = psol_full[...].copy()[id_map]
u = FieldVariable('u',
'parameter',
field,
primary_var_name='(set-to-None)')
filename = os.path.join(options.output_dir, 'sol.h5')
if (order == 1) or (options.linearization == 'strip'):
out = u.create_output(sol)
mesh.write(filename, io='auto', out=out)
else:
out = u.create_output(sol,
linearization=Struct(kind='adaptive',
min_level=0,
max_level=order,
eps=1e-3))
out['u'].mesh.write(filename, io='auto', out=out)
output('...done in', time.clock() - tt)
if options.show:
plt.show()
