forked from jan/fdfd_tools
add possibility to use csr opengl solver
This commit is contained in:
parent
eb4d9be6cf
commit
56df805e24
@ -10,7 +10,7 @@ import gridlock
|
|||||||
|
|
||||||
from matplotlib import pyplot
|
from matplotlib import pyplot
|
||||||
|
|
||||||
from opencl_fdfd import cg_solver
|
from opencl_fdfd import cg_solver, csr
|
||||||
|
|
||||||
__author__ = 'Jan Petykiewicz'
|
__author__ = 'Jan Petykiewicz'
|
||||||
|
|
||||||
@ -180,7 +180,7 @@ def test1():
|
|||||||
H_overlap = waveguide_mode.compute_overlap_e(**wg_args, **wg_results)
|
H_overlap = waveguide_mode.compute_overlap_e(**wg_args, **wg_results)
|
||||||
|
|
||||||
pecg = gridlock.Grid(edge_coords, initial=0.0, num_grids=3)
|
pecg = gridlock.Grid(edge_coords, initial=0.0, num_grids=3)
|
||||||
pecg.draw_cuboid(center=[700, 0, 0], dimensions=[80, 1e8, 1e8], eps=1)
|
# pecg.draw_cuboid(center=[700, 0, 0], dimensions=[80, 1e8, 1e8], eps=1)
|
||||||
# pecg.visualize_isosurface()
|
# pecg.visualize_isosurface()
|
||||||
|
|
||||||
pmcg = gridlock.Grid(edge_coords, initial=0.0, num_grids=3)
|
pmcg = gridlock.Grid(edge_coords, initial=0.0, num_grids=3)
|
||||||
@ -190,15 +190,21 @@ def test1():
|
|||||||
'''
|
'''
|
||||||
Solve!
|
Solve!
|
||||||
'''
|
'''
|
||||||
A = fdfd_tools.operators.e_full(omega, dxes,
|
sim_args = {
|
||||||
epsilon=vec(grid.grids),
|
'omega': omega,
|
||||||
pec=vec(pecg.grids),
|
'dxes': dxes,
|
||||||
pmc=vec(pmcg.grids)).tocsr()
|
'epsilon': vec(grid.grids),
|
||||||
b = -1j * omega * vec(J)
|
'pec': vec(pecg.grids),
|
||||||
# x = solve_A(A, b)
|
'pmc': vec(pmcg.grids),
|
||||||
|
}
|
||||||
|
|
||||||
|
b = -1j * omega * vec(J)
|
||||||
|
A = fdfd_tools.operators.e_full(**sim_args).tocsr()
|
||||||
|
# x = solve_A(A, b)
|
||||||
|
|
||||||
|
# x = csr.cg_solver(J=vec(J), **sim_args)
|
||||||
|
x = cg_solver(J=vec(J), **sim_args)
|
||||||
|
|
||||||
x = cg_solver(omega, dxes, J=vec(J), epsilon=vec(grid.grids),
|
|
||||||
pec=vec(pecg.grids), pmc=vec(pmcg.grids))
|
|
||||||
E = unvec(x, grid.shape)
|
E = unvec(x, grid.shape)
|
||||||
|
|
||||||
print('Norm of the residual is ', numpy.linalg.norm(A @ x - b))
|
print('Norm of the residual is ', numpy.linalg.norm(A @ x - b))
|
||||||
|
Loading…
Reference in New Issue
Block a user