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Resolve m-number adjoint bugs introduced by 1855 #2194

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6 changes: 3 additions & 3 deletions python/adjoint/optimization_problem.py
Original file line number Diff line number Diff line change
Expand Up @@ -226,7 +226,7 @@ def adjoint_run(self):

# flip the m number
if utils._check_if_cylindrical(self.sim):
self.sim.m = -self.sim.m
self.sim.change_m_number(-self.sim.m)

# flip the k point
if self.sim.k_point:
Expand Down Expand Up @@ -261,11 +261,11 @@ def adjoint_run(self):

# reset the m number
if utils._check_if_cylindrical(self.sim):
self.sim.m = -self.sim.m
self.sim.change_m_number(-self.sim.m)

# reset the k point
if self.sim.k_point:
self.sim.k_point *= -1
self.sim.change_k_point(-1 * self.sim.k_point)

# update optimizer's state
self.current_state = "ADJ"
Expand Down
19 changes: 19 additions & 0 deletions python/simulation.py
Original file line number Diff line number Diff line change
Expand Up @@ -4278,6 +4278,25 @@ def change_k_point(self, k):
self.fields.use_bloch(
py_v3_to_vec(self.dimensions, self.k_point, self.is_cylindrical)
)

def change_m_number(self, m):
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Maybe just call it change_m?

"""
Change the `m` number (the angular ϕ dependence).
"""
self.m = m

if self.fields:
needs_complex_fields = not (
not self.m or self.m == 0
)

if needs_complex_fields and self.fields.is_real:
self.fields = None
self._is_initialized = False
self.init_sim()
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It would be better to just add a boolean argument to fields::use_real_fields so that we can switch back to real fields without initializing. And then this could be called by fields::change_m_number for m ≠ 1

else:
if self.m is not None:
self.fields.m = self.m

def change_sources(self, new_sources):
"""
Expand Down
40 changes: 23 additions & 17 deletions src/meepgeom.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -2651,35 +2651,43 @@ get_material_gradient(const meep::vec &r, // current point
material_type md;
geps->get_material_pt(md, r);

// get the tensor column index corresponding to the forward component
int dir_idx = 0;
if (forward_c == meep::Dx || forward_c == meep::Dr)
dir_idx = 0;
else if (forward_c == meep::Dy || forward_c == meep::Dp)
dir_idx = 1;
else if (forward_c == meep::Dz)
dir_idx = 2;
else
meep::abort("Invalid adjoint field component");
switch (meep::component_direction(forward_c)) {
case meep::X:
case meep::R:
dir_idx = 0;
break;
case meep::Y:
case meep::P:
dir_idx = 1;
break;
case meep::Z:
dir_idx = 2;
break;
case meep::NO_DIRECTION:
meep::abort("Invalid forward component!\n");
}

// materials are non-dispersive
if (md->trivial) {
const double sd = 1.0; // FIXME: make user-changable?
meep::volume v(r);
LOOP_OVER_DIRECTIONS(dim, d) {
v.set_direction_min(d, r.in_direction(d) - 0.5 * gv.inva * sd);
v.set_direction_max(d, r.in_direction(d) + 0.5 * gv.inva * sd);
}
double row_1[3], row_2[3], dA_du[3];
double row_1[3], row_2[3];
double orig = u[idx];
u[idx] -= du;
geps->eff_chi1inv_row(adjoint_c, row_1, v, geps->tol, geps->maxeval);
u[idx] += 2 * du;
geps->eff_chi1inv_row(adjoint_c, row_2, v, geps->tol, geps->maxeval);
u[idx] = orig;
return fields_f * (row_1[dir_idx] - row_2[dir_idx]) / (2 * du);

for (int i = 0; i < 3; i++)
dA_du[i] = (row_1[i] - row_2[i]) / (2 * du);
return dA_du[dir_idx] * fields_f;
}
// materials have some dispersion
else {
double orig = u[idx];
std::complex<double> row_1[3], row_2[3], dA_du[3];
Expand All @@ -2689,9 +2697,7 @@ get_material_gradient(const meep::vec &r, // current point
eff_chi1inv_row_disp(adjoint_c, row_2, r, freq, geps);
u[idx] = orig;

for (int i = 0; i < 3; i++)
dA_du[i] = (row_1[i] - row_2[i]) / (2 * du);
return dA_du[dir_idx] * fields_f * cond_cmp(forward_c, r, freq, geps);
return fields_f * (row_1[dir_idx] - row_2[dir_idx]) / (2 * du) * cond_cmp(forward_c, r, freq, geps);
}
}

Expand Down Expand Up @@ -2720,8 +2726,8 @@ void add_interpolate_weights(double rx, double ry, double rz, double *data, int
/* define a macro to give us data(x,y,z) on the grid,
in row-major order (the order used by HDF5): */
#define IDX(x, y, z) (((x)*ny + (y)) * nz + (z)) * stride
#define D(x, y, z) (data[(((x)*ny + (y)) * nz + (z)) * stride])
#define U(x, y, z) (udata[(((x)*ny + (y)) * nz + (z)) * stride])
#define D(x, y, z) (data[IDX(x, y, z)])
#define U(x, y, z) (udata[IDX(x, y, z)])

u = (((U(x1, y1, z1) * (1.0 - dx) + U(x2, y1, z1) * dx) * (1.0 - dy) +
(U(x1, y2, z1) * (1.0 - dx) + U(x2, y2, z1) * dx) * dy) *
Expand Down