# This demo program solves Poisson's equation # # - div grad u(x, y) = f(x, y) # # on the unit square with homogeneous Dirichlet boundary conditions # at y = 0, 1. # # Original implementation in DOLFIN by Kristian B. Oelgaard and Anders Logg # This implementation can be found at: # https://bitbucket.org/fenics-project/dolfin/src/master/python/demo/documented/periodic/demo_periodic.py # # Copyright (C) Jørgen S. Dokken 2020. # # This file is part of DOLFINX_MPC. # # SPDX-License-Identifier: MIT from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser from time import perf_counter import h5py import numpy as np from dolfinx.common import Timer, TimingType, list_timings from dolfinx.fem import (Function, FunctionSpace, dirichletbc, form, locate_dofs_geometrical) from dolfinx.fem.petsc import (apply_lifting, assemble_matrix, assemble_vector, set_bc) from dolfinx.io import XDMFFile from dolfinx.log import LogLevel, log, set_log_level from dolfinx.mesh import CellType, create_unit_cube, refine from mpi4py import MPI from petsc4py import PETSc from ufl import (SpatialCoordinate, TestFunction, TrialFunction, dx, exp, grad, inner, pi, sin) def reference_periodic(tetra: bool, r_lvl: int = 0, out_hdf5: h5py.File = None, xdmf: bool = False, boomeramg: bool = False, kspview: bool = False, degree: int = 1): # Create mesh and finite element if tetra: # Tet setup N = 3 mesh = create_unit_cube(MPI.COMM_WORLD, N, N, N) for i in range(r_lvl): mesh.topology.create_entities(mesh.topology.dim - 2) mesh = refine(mesh, redistribute=True) N *= 2 else: # Hex setup N = 3 for i in range(r_lvl): N *= 2 mesh = create_unit_cube(MPI.COMM_WORLD, N, N, N, CellType.hexahedron) V = FunctionSpace(mesh, ("CG", degree)) # Create Dirichlet boundary condition def dirichletboundary(x): return np.logical_or(np.logical_or(np.isclose(x[1], 0), np.isclose(x[1], 1)), np.logical_or(np.isclose(x[2], 0), np.isclose(x[2], 1))) mesh.topology.create_connectivity(2, 1) geometrical_dofs = locate_dofs_geometrical(V, dirichletboundary) bc = dirichletbc(PETSc.ScalarType(0), geometrical_dofs, V) bcs = [bc] # Define variational problem u = TrialFunction(V) v = TestFunction(V) a = inner(grad(u), grad(v)) * dx x = SpatialCoordinate(mesh) dx_ = x[0] - 0.9 dy_ = x[1] - 0.5 dz_ = x[2] - 0.1 f = x[0] * sin(5.0 * pi * x[1]) + 1.0 * exp(-(dx_ * dx_ + dy_ * dy_ + dz_ * dz_) / 0.02) rhs = inner(f, v) * dx # Assemble rhs, RHS and apply lifting bilinear_form = form(a) linear_form = form(rhs) A_org = assemble_matrix(bilinear_form, bcs) A_org.assemble() L_org = assemble_vector(linear_form) apply_lifting(L_org, [bilinear_form], [bcs]) L_org.ghostUpdate(addv=PETSc.InsertMode.ADD_VALUES, mode=PETSc.ScatterMode.REVERSE) set_bc(L_org, bcs) # Create PETSc nullspace nullspace = PETSc.NullSpace().create(constant=True) PETSc.Mat.setNearNullSpace(A_org, nullspace) # Set PETSc options opts = PETSc.Options() if boomeramg: opts["ksp_type"] = "cg" opts["ksp_rtol"] = 1.0e-5 opts["pc_type"] = "hypre" opts['pc_hypre_type'] = 'boomeramg' opts["pc_hypre_boomeramg_max_iter"] = 1 opts["pc_hypre_boomeramg_cycle_type"] = "v" # opts["pc_hypre_boomeramg_print_statistics"] = 1 else: opts["ksp_type"] = "cg" opts["ksp_rtol"] = 1.0e-12 opts["pc_type"] = "gamg" opts["pc_gamg_type"] = "agg" opts["pc_gamg_sym_graph"] = True # Use Chebyshev smoothing for multigrid opts["mg_levels_ksp_type"] = "richardson" opts["mg_levels_pc_type"] = "sor" # opts["help"] = None # List all available options # opts["ksp_view"] = None # List progress of solver # Initialize PETSc solver, set options and operator solver = PETSc.KSP().create(MPI.COMM_WORLD) solver.setFromOptions() solver.setOperators(A_org) # Solve linear problem u_ = Function(V) start = perf_counter() with Timer("Solve"): solver.solve(L_org, u_.vector) end = perf_counter() u_.vector.ghostUpdate(addv=PETSc.InsertMode.INSERT, mode=PETSc.ScatterMode.FORWARD) if kspview: solver.view() it = solver.getIterationNumber() num_dofs = V.dofmap.index_map.size_global * V.dofmap.index_map_bs if out_hdf5 is not None: d_set = out_hdf5.get("its") d_set[r_lvl] = it d_set = out_hdf5.get("num_dofs") d_set[r_lvl] = num_dofs d_set = out_hdf5.get("solve_time") d_set[r_lvl, MPI.COMM_WORLD.rank] = end - start if MPI.COMM_WORLD.rank == 0: print("Rlvl {0:d}, Iterations {1:d}".format(r_lvl, it)) # Output solution to XDMF if xdmf: ext = "tet" if tetra else "hex" fname = "results/reference_periodic_{0:d}_{1:s}.xdmf".format( r_lvl, ext) u_.name = "u_" + ext + "_unconstrained" with XDMFFile(MPI.COMM_WORLD, fname, "w") as out_periodic: out_periodic.write_mesh(mesh) out_periodic.write_function(u_, 0.0, "Xdmf/Domain/" + "Grid[@Name='{0:s}'][1]" .format(mesh.name)) if __name__ == "__main__": # Set Argparser defaults parser = ArgumentParser(formatter_class=ArgumentDefaultsHelpFormatter) parser.add_argument("--nref", default=1, type=np.int8, dest="n_ref", help="Number of spatial refinements") parser.add_argument("--degree", default=1, type=np.int8, dest="degree", help="CG Function space degree") parser.add_argument('--xdmf', action='store_true', dest="xdmf", help="XDMF-output of function (Default false)") parser.add_argument('--timings', action='store_true', dest="timings", help="List timings (Default false)") parser.add_argument('--kspview', action='store_true', dest="kspview", help="View PETSc progress") parser.add_argument("-o", default='periodic_ref_output.hdf5', dest="hdf5", help="Name of HDF5 output file") ct_parser = parser.add_mutually_exclusive_group(required=False) ct_parser.add_argument('--tet', dest='tetra', action='store_true', help="Tetrahedron elements", default=True) ct_parser.add_argument('--hex', dest='tetra', action='store_false', help="Hexahedron elements") solver_parser = parser.add_mutually_exclusive_group(required=False) solver_parser.add_argument('--boomeramg', dest='boomeramg', default=True, action='store_true', help="Use BoomerAMG preconditioner (Default)") solver_parser.add_argument('--gamg', dest='boomeramg', action='store_false', help="Use PETSc GAMG preconditioner") args = parser.parse_args() N = args.n_ref + 1 h5f = h5py.File('periodic_ref_output.hdf5', 'w', driver='mpio', comm=MPI.COMM_WORLD) h5f.create_dataset("its", (N,), dtype=np.int32) h5f.create_dataset("num_dofs", (N,), dtype=np.int32) sd = h5f.create_dataset("solve_time", (N, MPI.COMM_WORLD.size), dtype=np.float64) solver = "BoomerAMG" if args.boomeramg else "GAMG" ct = "Tet" if args.tetra else "Hex" sd.attrs["solver"] = np.string_(solver) sd.attrs["degree"] = np.string_(str(int(args.degree))) sd.attrs["ct"] = np.string_(ct) for i in range(N): if MPI.COMM_WORLD.rank == 0: set_log_level(LogLevel.INFO) log(LogLevel.INFO, "Run {0:1d} in progress".format(i)) set_log_level(LogLevel.ERROR) reference_periodic(args.tetra, r_lvl=i, out_hdf5=h5f, xdmf=args.xdmf, boomeramg=args.boomeramg, kspview=args.kspview, degree=args.degree) if args.timings and i == N - 1: list_timings(MPI.COMM_WORLD, [TimingType.wall]) h5f.close()