def main(): logmgr = LogManager("mylog.dat", "w") # , comm=... # set a run property logmgr.set_constant("myconst", uniform(0, 1)) add_run_info(logmgr) add_general_quantities(logmgr) add_simulation_quantities(logmgr) vis_timer = IntervalTimer("t_vis", "Time spent visualizing") logmgr.add_quantity(vis_timer) logmgr.add_quantity(Fifteen("fifteen")) logmgr.add_watches(["step.max", "t_sim.max", "t_step.max"]) for istep in range(200): logmgr.tick_before() dt = uniform(0.01, 0.1) set_dt(logmgr, dt) sleep(dt) # Illustrate custom timers if istep % 10 == 0: with vis_timer.start_sub_timer(): sleep(0.05) # Illustrate warnings capture if uniform(0, 1) < 0.05: warn("Oof. Something went awry.") logmgr.tick_after() logmgr.close()
def main(write_output=True): from hedge.backends import guess_run_context rcon = guess_run_context( #["cuda"] ) gamma = 1.4 # at A=1 we have case of isentropic vortex, source terms # arise for other values densityA = 2.0 from hedge.tools import EOCRecorder, to_obj_array eoc_rec = EOCRecorder() if rcon.is_head_rank: from hedge.mesh import \ make_rect_mesh, \ make_centered_regular_rect_mesh refine = 1 mesh = make_centered_regular_rect_mesh((0,-5), (10,5), n=(9,9), post_refine_factor=refine) mesh_data = rcon.distribute_mesh(mesh) else: mesh_data = rcon.receive_mesh() for order in [4,5]: discr = rcon.make_discretization(mesh_data, order=order, debug=[#"cuda_no_plan", #"print_op_code" ], default_scalar_type=numpy.float64) from hedge.visualization import SiloVisualizer, VtkVisualizer #vis = VtkVisualizer(discr, rcon, "vortex-%d" % order) vis = SiloVisualizer(discr, rcon) vortex = Vortex(beta=5, gamma=gamma, center=[5,0], velocity=[1,0], densityA=densityA) fields = vortex.volume_interpolant(0, discr) sources=SourceTerms(beta=5, gamma=gamma, center=[5,0], velocity=[1,0], densityA=densityA) from hedge.models.gas_dynamics import ( GasDynamicsOperator, GammaLawEOS) from hedge.mesh import TAG_ALL op = GasDynamicsOperator(dimensions=2, mu=0.0, prandtl=0.72, spec_gas_const=287.1, equation_of_state=GammaLawEOS(vortex.gamma), bc_inflow=vortex, bc_outflow=vortex, bc_noslip=vortex, inflow_tag=TAG_ALL, source=sources) euler_ex = op.bind(discr) max_eigval = [0] def rhs(t, q): ode_rhs, speed = euler_ex(t, q) max_eigval[0] = speed return ode_rhs rhs(0, fields) if rcon.is_head_rank: print "---------------------------------------------" print "order %d" % order print "---------------------------------------------" print "#elements=", len(mesh.elements) # limiter setup ------------------------------------------------------- from hedge.models.gas_dynamics import SlopeLimiter1NEuler limiter = SlopeLimiter1NEuler(discr, gamma, 2, op) # time stepper -------------------------------------------------------- from hedge.timestep import SSPRK3TimeStepper, RK4TimeStepper #stepper = SSPRK3TimeStepper(limiter=limiter) #stepper = SSPRK3TimeStepper() stepper = RK4TimeStepper() # diagnostics setup --------------------------------------------------- from pytools.log import LogManager, add_general_quantities, \ add_simulation_quantities, add_run_info if write_output: log_file_name = "euler-%d.dat" % order else: log_file_name = None logmgr = LogManager(log_file_name, "w", rcon.communicator) add_run_info(logmgr) add_general_quantities(logmgr) add_simulation_quantities(logmgr) discr.add_instrumentation(logmgr) stepper.add_instrumentation(logmgr) logmgr.add_watches(["step.max", "t_sim.max", "t_step.max"]) # timestep loop ------------------------------------------------------- t = 0 #fields = limiter(fields) try: from hedge.timestep import times_and_steps step_it = times_and_steps( final_time=.1, #max_steps=500, logmgr=logmgr, max_dt_getter=lambda t: 0.4*op.estimate_timestep(discr, stepper=stepper, t=t, max_eigenvalue=max_eigval[0])) for step, t, dt in step_it: if step % 1 == 0 and write_output: #if False: visf = vis.make_file("vortex-%d-%04d" % (order, step)) true_fields = vortex.volume_interpolant(t, discr) #rhs_fields = rhs(t, fields) from pyvisfile.silo import DB_VARTYPE_VECTOR vis.add_data(visf, [ ("rho", discr.convert_volume(op.rho(fields), kind="numpy")), ("e", discr.convert_volume(op.e(fields), kind="numpy")), ("rho_u", discr.convert_volume(op.rho_u(fields), kind="numpy")), ("u", discr.convert_volume(op.u(fields), kind="numpy")), #("true_rho", discr.convert_volume(op.rho(true_fields), kind="numpy")), #("true_e", discr.convert_volume(op.e(true_fields), kind="numpy")), #("true_rho_u", discr.convert_volume(op.rho_u(true_fields), kind="numpy")), #("true_u", discr.convert_volume(op.u(true_fields), kind="numpy")), #("rhs_rho", discr.convert_volume(op.rho(rhs_fields), kind="numpy")), #("rhs_e", discr.convert_volume(op.e(rhs_fields), kind="numpy")), #("rhs_rho_u", discr.convert_volume(op.rho_u(rhs_fields), kind="numpy")), ], expressions=[ #("diff_rho", "rho-true_rho"), #("diff_e", "e-true_e"), #("diff_rho_u", "rho_u-true_rho_u", DB_VARTYPE_VECTOR), ("p", "0.4*(e- 0.5*(rho_u*u))"), ], time=t, step=step ) visf.close() fields = stepper(fields, t, dt, rhs) true_fields = vortex.volume_interpolant(t, discr) l2_error = discr.norm(fields-true_fields) l2_error_rho = discr.norm(op.rho(fields)-op.rho(true_fields)) l2_error_e = discr.norm(op.e(fields)-op.e(true_fields)) l2_error_rhou = discr.norm(op.rho_u(fields)-op.rho_u(true_fields)) l2_error_u = discr.norm(op.u(fields)-op.u(true_fields)) eoc_rec.add_data_point(order, l2_error_rho) print print eoc_rec.pretty_print("P.Deg.", "L2 Error") logmgr.set_constant("l2_error", l2_error) logmgr.set_constant("l2_error_rho", l2_error_rho) logmgr.set_constant("l2_error_e", l2_error_e) logmgr.set_constant("l2_error_rhou", l2_error_rhou) logmgr.set_constant("l2_error_u", l2_error_u) logmgr.set_constant("refinement", refine) finally: if write_output: vis.close() logmgr.close() discr.close()
def main(write_output=True): from pytools import add_python_path_relative_to_script add_python_path_relative_to_script("..") from hedge.backends import guess_run_context rcon = guess_run_context() from hedge.tools import EOCRecorder eoc_rec = EOCRecorder() if rcon.is_head_rank: from hedge.mesh.generator import \ make_rect_mesh, \ make_centered_regular_rect_mesh refine = 4 mesh = make_centered_regular_rect_mesh((0,-5), (10,5), n=(9,9), post_refine_factor=refine) mesh_data = rcon.distribute_mesh(mesh) else: mesh_data = rcon.receive_mesh() for order in [3, 4, 5]: from gas_dynamics_initials import Vortex flow = Vortex() from hedge.models.gas_dynamics import ( GasDynamicsOperator, PolytropeEOS, GammaLawEOS) from hedge.mesh import TAG_ALL # works equally well for GammaLawEOS op = GasDynamicsOperator(dimensions=2, mu=flow.mu, prandtl=flow.prandtl, spec_gas_const=flow.spec_gas_const, equation_of_state=PolytropeEOS(flow.gamma), bc_inflow=flow, bc_outflow=flow, bc_noslip=flow, inflow_tag=TAG_ALL, source=None) discr = rcon.make_discretization(mesh_data, order=order, default_scalar_type=numpy.float64, quad_min_degrees={ "gasdyn_vol": 3*order, "gasdyn_face": 3*order, }, tune_for=op.op_template(), debug=["cuda_no_plan"]) from hedge.visualization import SiloVisualizer, VtkVisualizer vis = VtkVisualizer(discr, rcon, "vortex-%d" % order) #vis = SiloVisualizer(discr, rcon) fields = flow.volume_interpolant(0, discr) euler_ex = op.bind(discr) max_eigval = [0] def rhs(t, q): ode_rhs, speed = euler_ex(t, q) max_eigval[0] = speed return ode_rhs rhs(0, fields) if rcon.is_head_rank: print "---------------------------------------------" print "order %d" % order print "---------------------------------------------" print "#elements=", len(mesh.elements) # limiter ------------------------------------------------------------ from hedge.models.gas_dynamics import SlopeLimiter1NEuler limiter = SlopeLimiter1NEuler(discr, flow.gamma, 2, op) from hedge.timestep.runge_kutta import SSP3TimeStepper #stepper = SSP3TimeStepper(limiter=limiter) stepper = SSP3TimeStepper( vector_primitive_factory=discr.get_vector_primitive_factory()) #from hedge.timestep import RK4TimeStepper #stepper = RK4TimeStepper() # diagnostics setup --------------------------------------------------- from pytools.log import LogManager, add_general_quantities, \ add_simulation_quantities, add_run_info if write_output: log_file_name = "euler-%d.dat" % order else: log_file_name = None logmgr = LogManager(log_file_name, "w", rcon.communicator) add_run_info(logmgr) add_general_quantities(logmgr) add_simulation_quantities(logmgr) discr.add_instrumentation(logmgr) stepper.add_instrumentation(logmgr) logmgr.add_watches(["step.max", "t_sim.max", "t_step.max"]) # timestep loop ------------------------------------------------------- try: final_time = flow.final_time from hedge.timestep import times_and_steps step_it = times_and_steps( final_time=final_time, logmgr=logmgr, max_dt_getter=lambda t: op.estimate_timestep(discr, stepper=stepper, t=t, max_eigenvalue=max_eigval[0])) print "run until t=%g" % final_time for step, t, dt in step_it: if step % 10 == 0 and write_output: #if False: visf = vis.make_file("vortex-%d-%04d" % (order, step)) #true_fields = vortex.volume_interpolant(t, discr) from pyvisfile.silo import DB_VARTYPE_VECTOR vis.add_data(visf, [ ("rho", discr.convert_volume(op.rho(fields), kind="numpy")), ("e", discr.convert_volume(op.e(fields), kind="numpy")), ("rho_u", discr.convert_volume(op.rho_u(fields), kind="numpy")), ("u", discr.convert_volume(op.u(fields), kind="numpy")), #("true_rho", discr.convert_volume(op.rho(true_fields), kind="numpy")), #("true_e", discr.convert_volume(op.e(true_fields), kind="numpy")), #("true_rho_u", discr.convert_volume(op.rho_u(true_fields), kind="numpy")), #("true_u", discr.convert_volume(op.u(true_fields), kind="numpy")), #("rhs_rho", discr.convert_volume(op.rho(rhs_fields), kind="numpy")), #("rhs_e", discr.convert_volume(op.e(rhs_fields), kind="numpy")), #("rhs_rho_u", discr.convert_volume(op.rho_u(rhs_fields), kind="numpy")), ], #expressions=[ #("diff_rho", "rho-true_rho"), #("diff_e", "e-true_e"), #("diff_rho_u", "rho_u-true_rho_u", DB_VARTYPE_VECTOR), #("p", "0.4*(e- 0.5*(rho_u*u))"), #], time=t, step=step ) visf.close() fields = stepper(fields, t, dt, rhs) #fields = limiter(fields) assert not numpy.isnan(numpy.sum(fields[0])) true_fields = flow.volume_interpolant(final_time, discr) l2_error = discr.norm(fields-true_fields) l2_error_rho = discr.norm(op.rho(fields)-op.rho(true_fields)) l2_error_e = discr.norm(op.e(fields)-op.e(true_fields)) l2_error_rhou = discr.norm(op.rho_u(fields)-op.rho_u(true_fields)) l2_error_u = discr.norm(op.u(fields)-op.u(true_fields)) eoc_rec.add_data_point(order, l2_error) print print eoc_rec.pretty_print("P.Deg.", "L2 Error") logmgr.set_constant("l2_error", l2_error) logmgr.set_constant("l2_error_rho", l2_error_rho) logmgr.set_constant("l2_error_e", l2_error_e) logmgr.set_constant("l2_error_rhou", l2_error_rhou) logmgr.set_constant("l2_error_u", l2_error_u) logmgr.set_constant("refinement", refine) finally: if write_output: vis.close() logmgr.close() discr.close() # after order loop assert eoc_rec.estimate_order_of_convergence()[0,1] > 6
def main(): from hedge.backends import guess_run_context rcon = guess_run_context( #["cuda"] ) from hedge.tools import EOCRecorder, to_obj_array eoc_rec = EOCRecorder() def boundary_tagger(vertices, el, face_nr, all_v): return ["inflow"] if rcon.is_head_rank: from hedge.mesh import make_rect_mesh, \ make_centered_regular_rect_mesh #mesh = make_rect_mesh((0,0), (10,1), max_area=0.01) refine = 1 mesh = make_centered_regular_rect_mesh( (0, 0), (10, 1), n=(20, 4), #periodicity=(True, False), post_refine_factor=refine, boundary_tagger=boundary_tagger) mesh_data = rcon.distribute_mesh(mesh) else: mesh_data = rcon.receive_mesh() for order in [3]: discr = rcon.make_discretization(mesh_data, order=order, default_scalar_type=numpy.float64) from hedge.visualization import SiloVisualizer, VtkVisualizer #vis = VtkVisualizer(discr, rcon, "shearflow-%d" % order) vis = SiloVisualizer(discr, rcon) shearflow = SteadyShearFlow() fields = shearflow.volume_interpolant(0, discr) gamma, mu, prandtl, spec_gas_const = shearflow.properties() from hedge.models.gas_dynamics import GasDynamicsOperator op = GasDynamicsOperator(dimensions=2, gamma=gamma, mu=mu, prandtl=prandtl, spec_gas_const=spec_gas_const, bc_inflow=shearflow, bc_outflow=shearflow, bc_noslip=shearflow, inflow_tag="inflow", outflow_tag="outflow", noslip_tag="noslip") navierstokes_ex = op.bind(discr) max_eigval = [0] def rhs(t, q): ode_rhs, speed = navierstokes_ex(t, q) max_eigval[0] = speed return ode_rhs # needed to get first estimate of maximum eigenvalue rhs(0, fields) if rcon.is_head_rank: print "---------------------------------------------" print "order %d" % order print "---------------------------------------------" print "#elements=", len(mesh.elements) from hedge.timestep import RK4TimeStepper stepper = RK4TimeStepper() # diagnostics setup --------------------------------------------------- from pytools.log import LogManager, add_general_quantities, \ add_simulation_quantities, add_run_info logmgr = LogManager("navierstokes-cpu-%d-%d.dat" % (order, refine), "w", rcon.communicator) add_run_info(logmgr) add_general_quantities(logmgr) add_simulation_quantities(logmgr) discr.add_instrumentation(logmgr) stepper.add_instrumentation(logmgr) logmgr.add_watches(["step.max", "t_sim.max", "t_step.max"]) # timestep loop ------------------------------------------------------- try: from hedge.timestep import times_and_steps step_it = times_and_steps( final_time=0.3, #max_steps=500, logmgr=logmgr, max_dt_getter=lambda t: op.estimate_timestep( discr, stepper=stepper, t=t, max_eigenvalue=max_eigval[0])) for step, t, dt in step_it: if step % 10 == 0: #if False: visf = vis.make_file("shearflow-%d-%04d" % (order, step)) #true_fields = shearflow.volume_interpolant(t, discr) from pyvisfile.silo import DB_VARTYPE_VECTOR vis.add_data( visf, [ ("rho", discr.convert_volume(op.rho(fields), kind="numpy")), ("e", discr.convert_volume(op.e(fields), kind="numpy")), ("rho_u", discr.convert_volume(op.rho_u(fields), kind="numpy")), ("u", discr.convert_volume(op.u(fields), kind="numpy")), #("true_rho", discr.convert_volume(op.rho(true_fields), kind="numpy")), #("true_e", discr.convert_volume(op.e(true_fields), kind="numpy")), #("true_rho_u", discr.convert_volume(op.rho_u(true_fields), kind="numpy")), #("true_u", discr.convert_volume(op.u(true_fields), kind="numpy")), ], expressions=[ #("diff_rho", "rho-true_rho"), #("diff_e", "e-true_e"), #("diff_rho_u", "rho_u-true_rho_u", DB_VARTYPE_VECTOR), ("p", "0.4*(e- 0.5*(rho_u*u))"), ], time=t, step=step) visf.close() fields = stepper(fields, t, dt, rhs) true_fields = shearflow.volume_interpolant(t, discr) l2_error = discr.norm(op.u(fields) - op.u(true_fields)) eoc_rec.add_data_point(order, l2_error) print print eoc_rec.pretty_print("P.Deg.", "L2 Error") logmgr.set_constant("l2_error", l2_error) finally: vis.close() logmgr.save() discr.close()
def main(write_output=True): from pytools import add_python_path_relative_to_script add_python_path_relative_to_script("..") from hedge.backends import guess_run_context rcon = guess_run_context() from hedge.tools import EOCRecorder eoc_rec = EOCRecorder() if rcon.is_head_rank: from hedge.mesh.generator import \ make_rect_mesh, \ make_centered_regular_rect_mesh refine = 4 mesh = make_centered_regular_rect_mesh((0, -5), (10, 5), n=(9, 9), post_refine_factor=refine) mesh_data = rcon.distribute_mesh(mesh) else: mesh_data = rcon.receive_mesh() for order in [3, 4, 5]: from gas_dynamics_initials import Vortex flow = Vortex() from hedge.models.gas_dynamics import (GasDynamicsOperator, PolytropeEOS, GammaLawEOS) from hedge.mesh import TAG_ALL # works equally well for GammaLawEOS op = GasDynamicsOperator(dimensions=2, mu=flow.mu, prandtl=flow.prandtl, spec_gas_const=flow.spec_gas_const, equation_of_state=PolytropeEOS(flow.gamma), bc_inflow=flow, bc_outflow=flow, bc_noslip=flow, inflow_tag=TAG_ALL, source=None) discr = rcon.make_discretization(mesh_data, order=order, default_scalar_type=numpy.float64, quad_min_degrees={ "gasdyn_vol": 3 * order, "gasdyn_face": 3 * order, }, tune_for=op.op_template(), debug=["cuda_no_plan"]) from hedge.visualization import SiloVisualizer, VtkVisualizer vis = VtkVisualizer(discr, rcon, "vortex-%d" % order) #vis = SiloVisualizer(discr, rcon) fields = flow.volume_interpolant(0, discr) euler_ex = op.bind(discr) max_eigval = [0] def rhs(t, q): ode_rhs, speed = euler_ex(t, q) max_eigval[0] = speed return ode_rhs rhs(0, fields) if rcon.is_head_rank: print "---------------------------------------------" print "order %d" % order print "---------------------------------------------" print "#elements=", len(mesh.elements) # limiter ------------------------------------------------------------ from hedge.models.gas_dynamics import SlopeLimiter1NEuler limiter = SlopeLimiter1NEuler(discr, flow.gamma, 2, op) from hedge.timestep.runge_kutta import SSP3TimeStepper #stepper = SSP3TimeStepper(limiter=limiter) stepper = SSP3TimeStepper( vector_primitive_factory=discr.get_vector_primitive_factory()) #from hedge.timestep import RK4TimeStepper #stepper = RK4TimeStepper() # diagnostics setup --------------------------------------------------- from pytools.log import LogManager, add_general_quantities, \ add_simulation_quantities, add_run_info if write_output: log_file_name = "euler-%d.dat" % order else: log_file_name = None logmgr = LogManager(log_file_name, "w", rcon.communicator) add_run_info(logmgr) add_general_quantities(logmgr) add_simulation_quantities(logmgr) discr.add_instrumentation(logmgr) stepper.add_instrumentation(logmgr) logmgr.add_watches(["step.max", "t_sim.max", "t_step.max"]) # timestep loop ------------------------------------------------------- try: final_time = flow.final_time from hedge.timestep import times_and_steps step_it = times_and_steps( final_time=final_time, logmgr=logmgr, max_dt_getter=lambda t: op.estimate_timestep( discr, stepper=stepper, t=t, max_eigenvalue=max_eigval[0])) print "run until t=%g" % final_time for step, t, dt in step_it: if step % 10 == 0 and write_output: #if False: visf = vis.make_file("vortex-%d-%04d" % (order, step)) #true_fields = vortex.volume_interpolant(t, discr) from pyvisfile.silo import DB_VARTYPE_VECTOR vis.add_data( visf, [ ("rho", discr.convert_volume(op.rho(fields), kind="numpy")), ("e", discr.convert_volume(op.e(fields), kind="numpy")), ("rho_u", discr.convert_volume(op.rho_u(fields), kind="numpy")), ("u", discr.convert_volume(op.u(fields), kind="numpy")), #("true_rho", discr.convert_volume(op.rho(true_fields), kind="numpy")), #("true_e", discr.convert_volume(op.e(true_fields), kind="numpy")), #("true_rho_u", discr.convert_volume(op.rho_u(true_fields), kind="numpy")), #("true_u", discr.convert_volume(op.u(true_fields), kind="numpy")), #("rhs_rho", discr.convert_volume(op.rho(rhs_fields), kind="numpy")), #("rhs_e", discr.convert_volume(op.e(rhs_fields), kind="numpy")), #("rhs_rho_u", discr.convert_volume(op.rho_u(rhs_fields), kind="numpy")), ], #expressions=[ #("diff_rho", "rho-true_rho"), #("diff_e", "e-true_e"), #("diff_rho_u", "rho_u-true_rho_u", DB_VARTYPE_VECTOR), #("p", "0.4*(e- 0.5*(rho_u*u))"), #], time=t, step=step) visf.close() fields = stepper(fields, t, dt, rhs) #fields = limiter(fields) assert not numpy.isnan(numpy.sum(fields[0])) true_fields = flow.volume_interpolant(final_time, discr) l2_error = discr.norm(fields - true_fields) l2_error_rho = discr.norm(op.rho(fields) - op.rho(true_fields)) l2_error_e = discr.norm(op.e(fields) - op.e(true_fields)) l2_error_rhou = discr.norm( op.rho_u(fields) - op.rho_u(true_fields)) l2_error_u = discr.norm(op.u(fields) - op.u(true_fields)) eoc_rec.add_data_point(order, l2_error) print print eoc_rec.pretty_print("P.Deg.", "L2 Error") logmgr.set_constant("l2_error", l2_error) logmgr.set_constant("l2_error_rho", l2_error_rho) logmgr.set_constant("l2_error_e", l2_error_e) logmgr.set_constant("l2_error_rhou", l2_error_rhou) logmgr.set_constant("l2_error_u", l2_error_u) logmgr.set_constant("refinement", refine) finally: if write_output: vis.close() logmgr.close() discr.close() # after order loop assert eoc_rec.estimate_order_of_convergence()[0, 1] > 6
def main(write_output=True): from pytools import add_python_path_relative_to_script add_python_path_relative_to_script("..") from hedge.backends import guess_run_context rcon = guess_run_context() from hedge.tools import EOCRecorder eoc_rec = EOCRecorder() if rcon.is_head_rank: from hedge.mesh.generator import \ make_rect_mesh, \ make_centered_regular_rect_mesh refine = 4 mesh = make_centered_regular_rect_mesh((0,-5), (10,5), n=(9,9), post_refine_factor=refine) mesh_data = rcon.distribute_mesh(mesh) else: mesh_data = rcon.receive_mesh() # a second mesh to regrid to if rcon.is_head_rank: from hedge.mesh.generator import \ make_rect_mesh, \ make_centered_regular_rect_mesh refine = 4 mesh2 = make_centered_regular_rect_mesh((0,-5), (10,5), n=(8,8), post_refine_factor=refine) mesh_data2 = rcon.distribute_mesh(mesh2) else: mesh_data2 = rcon.receive_mesh() for order in [3,4]: discr = rcon.make_discretization(mesh_data, order=order, default_scalar_type=numpy.float64, quad_min_degrees={ "gasdyn_vol": 3*order, "gasdyn_face": 3*order, }) discr2 = rcon.make_discretization(mesh_data2, order=order, default_scalar_type=numpy.float64, quad_min_degrees={ "gasdyn_vol": 3*order, "gasdyn_face": 3*order, }) from hedge.visualization import SiloVisualizer, VtkVisualizer vis = VtkVisualizer(discr, rcon, "vortex-%d" % order) #vis = SiloVisualizer(discr, rcon) from gas_dynamics_initials import Vortex vortex = Vortex() fields = vortex.volume_interpolant(0, discr) from hedge.models.gas_dynamics import GasDynamicsOperator from hedge.mesh import TAG_ALL op = GasDynamicsOperator(dimensions=2, gamma=vortex.gamma, mu=vortex.mu, prandtl=vortex.prandtl, spec_gas_const=vortex.spec_gas_const, bc_inflow=vortex, bc_outflow=vortex, bc_noslip=vortex, inflow_tag=TAG_ALL, source=None) euler_ex = op.bind(discr) max_eigval = [0] def rhs(t, q): ode_rhs, speed = euler_ex(t, q) max_eigval[0] = speed return ode_rhs rhs(0, fields) if rcon.is_head_rank: print "---------------------------------------------" print "order %d" % order print "---------------------------------------------" print "#elements for mesh 1 =", len(mesh.elements) print "#elements for mesh 2 =", len(mesh2.elements) # limiter ------------------------------------------------------------ from hedge.models.gas_dynamics import SlopeLimiter1NEuler limiter = SlopeLimiter1NEuler(discr, vortex.gamma, 2, op) from hedge.timestep import SSPRK3TimeStepper #stepper = SSPRK3TimeStepper(limiter=limiter) stepper = SSPRK3TimeStepper() #from hedge.timestep import RK4TimeStepper #stepper = RK4TimeStepper() # diagnostics setup --------------------------------------------------- from pytools.log import LogManager, add_general_quantities, \ add_simulation_quantities, add_run_info if write_output: log_file_name = "euler-%d.dat" % order else: log_file_name = None logmgr = LogManager(log_file_name, "w", rcon.communicator) add_run_info(logmgr) add_general_quantities(logmgr) add_simulation_quantities(logmgr) discr.add_instrumentation(logmgr) stepper.add_instrumentation(logmgr) logmgr.add_watches(["step.max", "t_sim.max", "t_step.max"]) # timestep loop ------------------------------------------------------- try: final_time = 0.2 from hedge.timestep import times_and_steps step_it = times_and_steps( final_time=final_time, logmgr=logmgr, max_dt_getter=lambda t: op.estimate_timestep(discr, stepper=stepper, t=t, max_eigenvalue=max_eigval[0])) for step, t, dt in step_it: if step % 10 == 0 and write_output: #if False: visf = vis.make_file("vortex-%d-%04d" % (order, step)) #true_fields = vortex.volume_interpolant(t, discr) from pyvisfile.silo import DB_VARTYPE_VECTOR vis.add_data(visf, [ ("rho", discr.convert_volume(op.rho(fields), kind="numpy")), ("e", discr.convert_volume(op.e(fields), kind="numpy")), ("rho_u", discr.convert_volume(op.rho_u(fields), kind="numpy")), ("u", discr.convert_volume(op.u(fields), kind="numpy")), #("true_rho", discr.convert_volume(op.rho(true_fields), kind="numpy")), #("true_e", discr.convert_volume(op.e(true_fields), kind="numpy")), #("true_rho_u", discr.convert_volume(op.rho_u(true_fields), kind="numpy")), #("true_u", discr.convert_volume(op.u(true_fields), kind="numpy")), #("rhs_rho", discr.convert_volume(op.rho(rhs_fields), kind="numpy")), #("rhs_e", discr.convert_volume(op.e(rhs_fields), kind="numpy")), #("rhs_rho_u", discr.convert_volume(op.rho_u(rhs_fields), kind="numpy")), ], #expressions=[ #("diff_rho", "rho-true_rho"), #("diff_e", "e-true_e"), #("diff_rho_u", "rho_u-true_rho_u", DB_VARTYPE_VECTOR), #("p", "0.4*(e- 0.5*(rho_u*u))"), #], time=t, step=step ) visf.close() fields = stepper(fields, t, dt, rhs) #fields = limiter(fields) #regrid to discr2 at some arbitrary time if step == 21: #get interpolated fields fields = discr.get_regrid_values(fields, discr2, dtype=None, use_btree=True, thresh=1e-8) #get new stepper (old one has reference to discr stepper = SSPRK3TimeStepper() #new bind euler_ex = op.bind(discr2) #new rhs max_eigval = [0] def rhs(t, q): ode_rhs, speed = euler_ex(t, q) max_eigval[0] = speed return ode_rhs rhs(t+dt, fields) #add logmanager #discr2.add_instrumentation(logmgr) #new step_it step_it = times_and_steps( final_time=final_time, logmgr=logmgr, max_dt_getter=lambda t: op.estimate_timestep(discr2, stepper=stepper, t=t, max_eigenvalue=max_eigval[0])) #new visualization vis.close() vis = VtkVisualizer(discr2, rcon, "vortexNewGrid-%d" % order) discr=discr2 assert not numpy.isnan(numpy.sum(fields[0])) true_fields = vortex.volume_interpolant(final_time, discr) l2_error = discr.norm(fields-true_fields) l2_error_rho = discr.norm(op.rho(fields)-op.rho(true_fields)) l2_error_e = discr.norm(op.e(fields)-op.e(true_fields)) l2_error_rhou = discr.norm(op.rho_u(fields)-op.rho_u(true_fields)) l2_error_u = discr.norm(op.u(fields)-op.u(true_fields)) eoc_rec.add_data_point(order, l2_error) print print eoc_rec.pretty_print("P.Deg.", "L2 Error") logmgr.set_constant("l2_error", l2_error) logmgr.set_constant("l2_error_rho", l2_error_rho) logmgr.set_constant("l2_error_e", l2_error_e) logmgr.set_constant("l2_error_rhou", l2_error_rhou) logmgr.set_constant("l2_error_u", l2_error_u) logmgr.set_constant("refinement", refine) finally: if write_output: vis.close() logmgr.close() discr.close()
def main(): from hedge.backends import guess_run_context rcon = guess_run_context( #["cuda"] ) from hedge.tools import EOCRecorder, to_obj_array eoc_rec = EOCRecorder() def boundary_tagger(vertices, el, face_nr, all_v): return ["inflow"] if rcon.is_head_rank: from hedge.mesh import make_rect_mesh, \ make_centered_regular_rect_mesh #mesh = make_rect_mesh((0,0), (10,1), max_area=0.01) refine = 1 mesh = make_centered_regular_rect_mesh((0,0), (10,1), n=(20,4), #periodicity=(True, False), post_refine_factor=refine, boundary_tagger=boundary_tagger) mesh_data = rcon.distribute_mesh(mesh) else: mesh_data = rcon.receive_mesh() for order in [3]: discr = rcon.make_discretization(mesh_data, order=order, default_scalar_type=numpy.float64) from hedge.visualization import SiloVisualizer, VtkVisualizer #vis = VtkVisualizer(discr, rcon, "shearflow-%d" % order) vis = SiloVisualizer(discr, rcon) shearflow = SteadyShearFlow() fields = shearflow.volume_interpolant(0, discr) gamma, mu, prandtl, spec_gas_const = shearflow.properties() from hedge.models.gas_dynamics import GasDynamicsOperator op = GasDynamicsOperator(dimensions=2, gamma=gamma, mu=mu, prandtl=prandtl, spec_gas_const=spec_gas_const, bc_inflow=shearflow, bc_outflow=shearflow, bc_noslip=shearflow, inflow_tag="inflow", outflow_tag="outflow", noslip_tag="noslip") navierstokes_ex = op.bind(discr) max_eigval = [0] def rhs(t, q): ode_rhs, speed = navierstokes_ex(t, q) max_eigval[0] = speed return ode_rhs # needed to get first estimate of maximum eigenvalue rhs(0, fields) if rcon.is_head_rank: print "---------------------------------------------" print "order %d" % order print "---------------------------------------------" print "#elements=", len(mesh.elements) from hedge.timestep import RK4TimeStepper stepper = RK4TimeStepper() # diagnostics setup --------------------------------------------------- from pytools.log import LogManager, add_general_quantities, \ add_simulation_quantities, add_run_info logmgr = LogManager("navierstokes-cpu-%d-%d.dat" % (order, refine), "w", rcon.communicator) add_run_info(logmgr) add_general_quantities(logmgr) add_simulation_quantities(logmgr) discr.add_instrumentation(logmgr) stepper.add_instrumentation(logmgr) logmgr.add_watches(["step.max", "t_sim.max", "t_step.max"]) # timestep loop ------------------------------------------------------- try: from hedge.timestep import times_and_steps step_it = times_and_steps( final_time=0.3, #max_steps=500, logmgr=logmgr, max_dt_getter=lambda t: op.estimate_timestep(discr, stepper=stepper, t=t, max_eigenvalue=max_eigval[0])) for step, t, dt in step_it: if step % 10 == 0: #if False: visf = vis.make_file("shearflow-%d-%04d" % (order, step)) #true_fields = shearflow.volume_interpolant(t, discr) from pyvisfile.silo import DB_VARTYPE_VECTOR vis.add_data(visf, [ ("rho", discr.convert_volume(op.rho(fields), kind="numpy")), ("e", discr.convert_volume(op.e(fields), kind="numpy")), ("rho_u", discr.convert_volume(op.rho_u(fields), kind="numpy")), ("u", discr.convert_volume(op.u(fields), kind="numpy")), #("true_rho", discr.convert_volume(op.rho(true_fields), kind="numpy")), #("true_e", discr.convert_volume(op.e(true_fields), kind="numpy")), #("true_rho_u", discr.convert_volume(op.rho_u(true_fields), kind="numpy")), #("true_u", discr.convert_volume(op.u(true_fields), kind="numpy")), ], expressions=[ #("diff_rho", "rho-true_rho"), #("diff_e", "e-true_e"), #("diff_rho_u", "rho_u-true_rho_u", DB_VARTYPE_VECTOR), ("p", "0.4*(e- 0.5*(rho_u*u))"), ], time=t, step=step ) visf.close() fields = stepper(fields, t, dt, rhs) true_fields = shearflow.volume_interpolant(t, discr) l2_error = discr.norm(op.u(fields)-op.u(true_fields)) eoc_rec.add_data_point(order, l2_error) print print eoc_rec.pretty_print("P.Deg.", "L2 Error") logmgr.set_constant("l2_error", l2_error) finally: vis.close() logmgr.save() discr.close()
class PICRunner(object): def __init__(self): from pyrticle.units import SIUnitsWithNaturalConstants self.units = units = SIUnitsWithNaturalConstants() ui = PICCPyUserInterface(units) setup = self.setup = ui.gather() from pytools.log import LogManager import os.path self.logmgr = LogManager(os.path.join( setup.output_path, "pic.dat"), "w") from hedge.backends import guess_run_context self.rcon = guess_run_context([]) if self.rcon.is_head_rank: mesh = self.rcon.distribute_mesh(setup.mesh) else: mesh = self.rcon.receive_mesh() self.discr = discr = \ self.rcon.make_discretization(mesh, order=setup.element_order, debug=setup.dg_debug) self.logmgr.set_constant("elements_total", len(setup.mesh.elements)) self.logmgr.set_constant("elements_local", len(mesh.elements)) self.logmgr.set_constant("element_order", setup.element_order) # em operator --------------------------------------------------------- maxwell_kwargs = { "epsilon": units.EPSILON0, "mu": units.MU0, "flux_type": setup.maxwell_flux_type, "bdry_flux_type": setup.maxwell_bdry_flux_type } if discr.dimensions == 3: from hedge.models.em import MaxwellOperator self.maxwell_op = MaxwellOperator(**maxwell_kwargs) elif discr.dimensions == 2: from hedge.models.em import TEMaxwellOperator self.maxwell_op = TEMaxwellOperator(**maxwell_kwargs) else: raise ValueError, "invalid mesh dimension" if setup.chi is not None: from pyrticle.hyperbolic import ECleaningMaxwellOperator self.maxwell_op = ECleaningMaxwellOperator(self.maxwell_op, chi=setup.chi, phi_decay=setup.phi_decay) if setup.phi_filter is not None: from pyrticle.hyperbolic import PhiFilter from hedge.discretization import Filter, ExponentialFilterResponseFunction em_filters.append( PhiFilter(maxwell_op, Filter(discr, ExponentialFilterResponseFunction(*setup.phi_filter)))) # timestepping setup -------------------------------------------------- goal_dt = self.maxwell_op.estimate_timestep(discr) * setup.dt_scale self.nsteps = int(setup.final_time/goal_dt)+1 self.dt = setup.final_time/self.nsteps self.stepper = setup.timestepper_maker(self.dt) # particle setup ------------------------------------------------------ from pyrticle.cloud import PicMethod, PicState, \ optimize_shape_bandwidth, \ guess_shape_bandwidth method = self.method = PicMethod(discr, units, setup.depositor, setup.pusher, dimensions_pos=setup.dimensions_pos, dimensions_velocity=setup.dimensions_velocity, debug=setup.debug) self.state = method.make_state() method.add_particles( self.state, setup.distribution.generate_particles(), setup.nparticles) self.total_charge = setup.nparticles*setup.distribution.mean()[2][0] if isinstance(setup.shape_bandwidth, str): if setup.shape_bandwidth == "optimize": optimize_shape_bandwidth(method, self.state, setup.distribution.get_rho_interpolant( discr, self.total_charge), setup.shape_exponent) elif setup.shape_bandwidth == "guess": guess_shape_bandwidth(method, self.state, setup.shape_exponent) else: raise ValueError, "invalid shape bandwidth setting '%s'" % ( setup.shape_bandwidth) else: from pyrticle._internal import PolynomialShapeFunction method.depositor.set_shape_function( self.state, PolynomialShapeFunction( float(setup.shape_bandwidth), method.mesh_data.dimensions, setup.shape_exponent, )) # initial condition --------------------------------------------------- if "no_ic" in setup.debug: self.fields = self.maxwell_op.assemble_eh(discr=discr) else: from pyrticle.cloud import compute_initial_condition self.fields = compute_initial_condition(self.rcon, discr, method, self.state, maxwell_op=self.maxwell_op, potential_bc=setup.potential_bc, force_zero=False) # rhs calculators ----------------------------------------------------- from pyrticle.cloud import \ FieldRhsCalculator, \ FieldToParticleRhsCalculator, \ ParticleRhsCalculator, \ ParticleToFieldRhsCalculator self.f_rhs_calculator = FieldRhsCalculator(self.method, self.maxwell_op) self.p_rhs_calculator = ParticleRhsCalculator(self.method, self.maxwell_op) self.f2p_rhs_calculator = FieldToParticleRhsCalculator(self.method, self.maxwell_op) self.p2f_rhs_calculator = ParticleToFieldRhsCalculator(self.method, self.maxwell_op) # instrumentation setup ----------------------------------------------- self.add_instrumentation(self.logmgr) def add_instrumentation(self, logmgr): from pytools.log import \ add_simulation_quantities, \ add_general_quantities, \ add_run_info, ETA from pyrticle.log import add_particle_quantities, add_field_quantities, \ add_beam_quantities, add_currents setup = self.setup from pyrticle.log import StateObserver self.observer = StateObserver(self.method, self.maxwell_op) self.observer.set_fields_and_state(self.fields, self.state) add_run_info(logmgr) add_general_quantities(logmgr) add_simulation_quantities(logmgr) add_particle_quantities(logmgr, self.observer) add_field_quantities(logmgr, self.observer) if setup.beam_axis is not None and setup.beam_diag_axis is not None: add_beam_quantities(logmgr, self.observer, axis=setup.beam_diag_axis, beam_axis=setup.beam_axis) if setup.tube_length is not None: from hedge.tools import unit_vector add_currents(logmgr, self.observer, unit_vector(self.method.dimensions_velocity, setup.beam_axis), setup.tube_length) self.method.add_instrumentation(logmgr, self.observer) self.f_rhs_calculator.add_instrumentation(logmgr) if hasattr(self.stepper, "add_instrumentation"): self.stepper.add_instrumentation(logmgr) mean_beta = self.method.mean_beta(self.state) gamma = self.method.units.gamma_from_beta(mean_beta) logmgr.set_constant("dt", self.dt) logmgr.set_constant("beta", mean_beta) logmgr.set_constant("gamma", gamma) logmgr.set_constant("v", mean_beta*self.units.VACUUM_LIGHT_SPEED()) logmgr.set_constant("Q0", self.total_charge) logmgr.set_constant("n_part_0", setup.nparticles) logmgr.set_constant("pmass", setup.distribution.mean()[3][0]) logmgr.set_constant("chi", setup.chi) logmgr.set_constant("phi_decay", setup.phi_decay) logmgr.set_constant("shape_radius_setup", setup.shape_bandwidth) logmgr.set_constant("shape_radius", self.method.depositor.shape_function.radius) logmgr.set_constant("shape_exponent", self.method.depositor.shape_function.exponent) from pytools.log import IntervalTimer self.vis_timer = IntervalTimer("t_vis", "Time spent visualizing") logmgr.add_quantity(self.vis_timer) logmgr.add_quantity(ETA(self.nsteps)) logmgr.add_watches(setup.watch_vars) def inner_run(self): t = 0 setup = self.setup setup.hook_startup(self) vis_order = setup.vis_order if vis_order is None: vis_order = setup.element_order if vis_order != setup.element_order: vis_discr = self.rcon.make_discretization(self.discr.mesh, order=vis_order, debug=setup.dg_debug) from hedge.discretization import Projector vis_proj = Projector(self.discr, vis_discr) else: vis_discr = self.discr def vis_proj(f): return f from hedge.visualization import SiloVisualizer vis = SiloVisualizer(vis_discr) fields = self.fields self.observer.set_fields_and_state(fields, self.state) from hedge.tools import make_obj_array from pyrticle.cloud import TimesteppablePicState def visualize(observer): sub_timer = self.vis_timer.start_sub_timer() import os.path visf = vis.make_file(os.path.join( setup.output_path, setup.vis_pattern % step)) self.method.add_to_vis(vis, visf, observer.state, time=t, step=step) vis.add_data(visf, [(name, vis_proj(fld)) for name, fld in setup.hook_vis_quantities(observer)], time=t, step=step) setup.hook_visualize(self, vis, visf, observer) visf.close() sub_timer.stop().submit() from hedge.timestep.multirate_ab import TwoRateAdamsBashforthTimeStepper if not isinstance(self.stepper, TwoRateAdamsBashforthTimeStepper): def rhs(t, fields_and_state): fields, ts_state = fields_and_state state_f = lambda: ts_state.state fields_f = lambda: fields fields_rhs = ( self.f_rhs_calculator(t, fields_f, state_f) + self.p2f_rhs_calculator(t, fields_f, state_f)) state_rhs = ( self.p_rhs_calculator(t, fields_f, state_f) + self.f2p_rhs_calculator(t, fields_f, state_f)) return make_obj_array([fields_rhs, state_rhs]) step_args = (self.dt, rhs) else: def add_unwrap(rhs): def unwrapping_rhs(t, fields, ts_state): return rhs(t, fields, lambda: ts_state().state) return unwrapping_rhs step_args = (( add_unwrap(self.f_rhs_calculator), add_unwrap(self.p2f_rhs_calculator), add_unwrap(self.f2p_rhs_calculator), add_unwrap(self.p_rhs_calculator), ),) y = make_obj_array([ fields, TimesteppablePicState(self.method, self.state) ]) del self.state try: from hedge.timestep import times_and_steps step_it = times_and_steps( max_steps=self.nsteps, logmgr=self.logmgr, max_dt_getter=lambda t: self.dt) for step, t, dt in step_it: self.method.upkeep(y[1].state) if step % setup.vis_interval == 0: visualize(self.observer) y = self.stepper(y, t, *step_args) fields, ts_state = y self.observer.set_fields_and_state(fields, ts_state.state) setup.hook_after_step(self, self.observer) finally: vis.close() self.discr.close() self.logmgr.save() setup.hook_when_done(self) def run(self): if self.setup.profile_output_filename is not None: from cProfile import Profile prof = Profile() try: prof.runcall(self.inner_run) finally: from lsprofcalltree import KCacheGrind kg = KCacheGrind(prof) kg.output(open(self.setup.profile_output_filename, "w")) else: self.inner_run()
class PICRunner(object): def __init__(self): from pyrticle.units import SIUnitsWithNaturalConstants self.units = units = SIUnitsWithNaturalConstants() ui = PICCPyUserInterface(units) setup = self.setup = ui.gather() from pytools.log import LogManager import os.path self.logmgr = LogManager(os.path.join(setup.output_path, "pic.dat"), "w") from hedge.backends import guess_run_context self.rcon = guess_run_context([]) if self.rcon.is_head_rank: mesh = self.rcon.distribute_mesh(setup.mesh) else: mesh = self.rcon.receive_mesh() self.discr = discr = \ self.rcon.make_discretization(mesh, order=setup.element_order, debug=setup.dg_debug) self.logmgr.set_constant("elements_total", len(setup.mesh.elements)) self.logmgr.set_constant("elements_local", len(mesh.elements)) self.logmgr.set_constant("element_order", setup.element_order) # em operator --------------------------------------------------------- maxwell_kwargs = { "epsilon": units.EPSILON0, "mu": units.MU0, "flux_type": setup.maxwell_flux_type, "bdry_flux_type": setup.maxwell_bdry_flux_type } if discr.dimensions == 3: from hedge.models.em import MaxwellOperator self.maxwell_op = MaxwellOperator(**maxwell_kwargs) elif discr.dimensions == 2: from hedge.models.em import TEMaxwellOperator self.maxwell_op = TEMaxwellOperator(**maxwell_kwargs) else: raise ValueError, "invalid mesh dimension" if setup.chi is not None: from pyrticle.hyperbolic import ECleaningMaxwellOperator self.maxwell_op = ECleaningMaxwellOperator( self.maxwell_op, chi=setup.chi, phi_decay=setup.phi_decay) if setup.phi_filter is not None: from pyrticle.hyperbolic import PhiFilter from hedge.discretization import Filter, ExponentialFilterResponseFunction em_filters.append( PhiFilter( maxwell_op, Filter( discr, ExponentialFilterResponseFunction( *setup.phi_filter)))) # timestepping setup -------------------------------------------------- goal_dt = self.maxwell_op.estimate_timestep(discr) * setup.dt_scale self.nsteps = int(setup.final_time / goal_dt) + 1 self.dt = setup.final_time / self.nsteps self.stepper = setup.timestepper_maker(self.dt) # particle setup ------------------------------------------------------ from pyrticle.cloud import PicMethod, PicState, \ optimize_shape_bandwidth, \ guess_shape_bandwidth method = self.method = PicMethod( discr, units, setup.depositor, setup.pusher, dimensions_pos=setup.dimensions_pos, dimensions_velocity=setup.dimensions_velocity, debug=setup.debug) self.state = method.make_state() method.add_particles(self.state, setup.distribution.generate_particles(), setup.nparticles) self.total_charge = setup.nparticles * setup.distribution.mean()[2][0] if isinstance(setup.shape_bandwidth, str): if setup.shape_bandwidth == "optimize": optimize_shape_bandwidth( method, self.state, setup.distribution.get_rho_interpolant( discr, self.total_charge), setup.shape_exponent) elif setup.shape_bandwidth == "guess": guess_shape_bandwidth(method, self.state, setup.shape_exponent) else: raise ValueError, "invalid shape bandwidth setting '%s'" % ( setup.shape_bandwidth) else: from pyrticle._internal import PolynomialShapeFunction method.depositor.set_shape_function( self.state, PolynomialShapeFunction( float(setup.shape_bandwidth), method.mesh_data.dimensions, setup.shape_exponent, )) # initial condition --------------------------------------------------- if "no_ic" in setup.debug: self.fields = self.maxwell_op.assemble_eh(discr=discr) else: from pyrticle.cloud import compute_initial_condition self.fields = compute_initial_condition( self.rcon, discr, method, self.state, maxwell_op=self.maxwell_op, potential_bc=setup.potential_bc, force_zero=False) # rhs calculators ----------------------------------------------------- from pyrticle.cloud import \ FieldRhsCalculator, \ FieldToParticleRhsCalculator, \ ParticleRhsCalculator, \ ParticleToFieldRhsCalculator self.f_rhs_calculator = FieldRhsCalculator(self.method, self.maxwell_op) self.p_rhs_calculator = ParticleRhsCalculator(self.method, self.maxwell_op) self.f2p_rhs_calculator = FieldToParticleRhsCalculator( self.method, self.maxwell_op) self.p2f_rhs_calculator = ParticleToFieldRhsCalculator( self.method, self.maxwell_op) # instrumentation setup ----------------------------------------------- self.add_instrumentation(self.logmgr) def add_instrumentation(self, logmgr): from pytools.log import \ add_simulation_quantities, \ add_general_quantities, \ add_run_info, ETA from pyrticle.log import add_particle_quantities, add_field_quantities, \ add_beam_quantities, add_currents setup = self.setup from pyrticle.log import StateObserver self.observer = StateObserver(self.method, self.maxwell_op) self.observer.set_fields_and_state(self.fields, self.state) add_run_info(logmgr) add_general_quantities(logmgr) add_simulation_quantities(logmgr) add_particle_quantities(logmgr, self.observer) add_field_quantities(logmgr, self.observer) if setup.beam_axis is not None and setup.beam_diag_axis is not None: add_beam_quantities(logmgr, self.observer, axis=setup.beam_diag_axis, beam_axis=setup.beam_axis) if setup.tube_length is not None: from hedge.tools import unit_vector add_currents( logmgr, self.observer, unit_vector(self.method.dimensions_velocity, setup.beam_axis), setup.tube_length) self.method.add_instrumentation(logmgr, self.observer) self.f_rhs_calculator.add_instrumentation(logmgr) if hasattr(self.stepper, "add_instrumentation"): self.stepper.add_instrumentation(logmgr) mean_beta = self.method.mean_beta(self.state) gamma = self.method.units.gamma_from_beta(mean_beta) logmgr.set_constant("dt", self.dt) logmgr.set_constant("beta", mean_beta) logmgr.set_constant("gamma", gamma) logmgr.set_constant("v", mean_beta * self.units.VACUUM_LIGHT_SPEED()) logmgr.set_constant("Q0", self.total_charge) logmgr.set_constant("n_part_0", setup.nparticles) logmgr.set_constant("pmass", setup.distribution.mean()[3][0]) logmgr.set_constant("chi", setup.chi) logmgr.set_constant("phi_decay", setup.phi_decay) logmgr.set_constant("shape_radius_setup", setup.shape_bandwidth) logmgr.set_constant("shape_radius", self.method.depositor.shape_function.radius) logmgr.set_constant("shape_exponent", self.method.depositor.shape_function.exponent) from pytools.log import IntervalTimer self.vis_timer = IntervalTimer("t_vis", "Time spent visualizing") logmgr.add_quantity(self.vis_timer) logmgr.add_quantity(ETA(self.nsteps)) logmgr.add_watches(setup.watch_vars) def inner_run(self): t = 0 setup = self.setup setup.hook_startup(self) vis_order = setup.vis_order if vis_order is None: vis_order = setup.element_order if vis_order != setup.element_order: vis_discr = self.rcon.make_discretization(self.discr.mesh, order=vis_order, debug=setup.dg_debug) from hedge.discretization import Projector vis_proj = Projector(self.discr, vis_discr) else: vis_discr = self.discr def vis_proj(f): return f from hedge.visualization import SiloVisualizer vis = SiloVisualizer(vis_discr) fields = self.fields self.observer.set_fields_and_state(fields, self.state) from hedge.tools import make_obj_array from pyrticle.cloud import TimesteppablePicState def visualize(observer): sub_timer = self.vis_timer.start_sub_timer() import os.path visf = vis.make_file( os.path.join(setup.output_path, setup.vis_pattern % step)) self.method.add_to_vis(vis, visf, observer.state, time=t, step=step) vis.add_data( visf, [(name, vis_proj(fld)) for name, fld in setup.hook_vis_quantities(observer)], time=t, step=step) setup.hook_visualize(self, vis, visf, observer) visf.close() sub_timer.stop().submit() from hedge.timestep.multirate_ab import TwoRateAdamsBashforthTimeStepper if not isinstance(self.stepper, TwoRateAdamsBashforthTimeStepper): def rhs(t, fields_and_state): fields, ts_state = fields_and_state state_f = lambda: ts_state.state fields_f = lambda: fields fields_rhs = (self.f_rhs_calculator(t, fields_f, state_f) + self.p2f_rhs_calculator(t, fields_f, state_f)) state_rhs = (self.p_rhs_calculator(t, fields_f, state_f) + self.f2p_rhs_calculator(t, fields_f, state_f)) return make_obj_array([fields_rhs, state_rhs]) step_args = (self.dt, rhs) else: def add_unwrap(rhs): def unwrapping_rhs(t, fields, ts_state): return rhs(t, fields, lambda: ts_state().state) return unwrapping_rhs step_args = (( add_unwrap(self.f_rhs_calculator), add_unwrap(self.p2f_rhs_calculator), add_unwrap(self.f2p_rhs_calculator), add_unwrap(self.p_rhs_calculator), ), ) y = make_obj_array( [fields, TimesteppablePicState(self.method, self.state)]) del self.state try: from hedge.timestep import times_and_steps step_it = times_and_steps(max_steps=self.nsteps, logmgr=self.logmgr, max_dt_getter=lambda t: self.dt) for step, t, dt in step_it: self.method.upkeep(y[1].state) if step % setup.vis_interval == 0: visualize(self.observer) y = self.stepper(y, t, *step_args) fields, ts_state = y self.observer.set_fields_and_state(fields, ts_state.state) setup.hook_after_step(self, self.observer) finally: vis.close() self.discr.close() self.logmgr.save() setup.hook_when_done(self) def run(self): if self.setup.profile_output_filename is not None: from cProfile import Profile prof = Profile() try: prof.runcall(self.inner_run) finally: from lsprofcalltree import KCacheGrind kg = KCacheGrind(prof) kg.output(open(self.setup.profile_output_filename, "w")) else: self.inner_run()