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edoardo
2026-05-26 10:09:25 +02:00
parent f1a6fd25ab
commit 70a5391762
1 changed files with 15 additions and 6 deletions
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metapeg_v2.py
+15 -6
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@@ -13,13 +13,13 @@ import os
import xarray as xr import xarray as xr
from PIL import Image from PIL import Image
mp.verbosity(2) mp.verbosity(0)
if not os.path.exists("results"): if not os.path.exists("results"):
os.makedirs("results") os.makedirs("results")
###### PHYSICS SETUP ###### ###### PHYSICS SETUP ######
RESOLUTION = 12 #pixels per meep unit length (1um) RESOLUTION = 5 #pixels per meep unit length (1um)
MAX_RUN_TIME = 400 #meep units MAX_RUN_TIME = 400 #meep units
WAVELENGTH_MIN_UM = 1.50 WAVELENGTH_MIN_UM = 1.50
WAVELENGTH_MAX_UM = 1.60 WAVELENGTH_MAX_UM = 1.60
@@ -104,17 +104,24 @@ def filter_and_project(
sigmoid_threshold: erosion/dilation parameter for projection sigmoid_threshold: erosion/dilation parameter for projection
sigmoid_bias: bias parameter for the projection. 0 is no projection sigmoid_bias: bias parameter for the projection. 0 is no projection
Returns: Returns:
The flattened filtered/projected design weights The flattened (1D) filtered/projected design weights
''' '''
print("Inside filter_and_project function...") print("Inside filter_and_project function...")
weights_filtered = mpa.conic_filter( weights_filtered = mpa.conic_filter(
weights, weights.reshape(NX_DESIGN_GRID, NY_DESIGN_GRID),
filter_radius_um, filter_radius_um,
DESIGN_REGION_UM.x, DESIGN_REGION_UM.x,
DESIGN_REGION_UM.y, DESIGN_REGION_UM.y,
DESIGN_REGION_RESOLUTION, DESIGN_REGION_RESOLUTION,
) )
print("========================")
print("weights shape", weights.shape)
print("weights_filtered shape",weights_filtered.flatten().shape)
print("type of weights", type(weights))
print("========================")
if sigmoid_bias == 0: if sigmoid_bias == 0:
print("No projection applied in filter_and_project function, exiting...") print("No projection applied in filter_and_project function, exiting...")
return weights_filtered.flatten() return weights_filtered.flatten()
@@ -173,7 +180,9 @@ def epigraph_constraint(
print("Inside epigraph_constraint function...") print("Inside epigraph_constraint function...")
epigraph = epigraph_and_weights[0] epigraph = epigraph_and_weights[0]
weights = epigraph_and_weights[1:] weights = epigraph_and_weights[1:]
print("===========")
print("Shape of weights in epigraph_constraint:", weights.shape)
print("===========")
obj_val, grad = opt( obj_val, grad = opt(
[ [
filter_and_project( filter_and_project(
@@ -611,7 +620,7 @@ if __name__ == "__main__":
num_weights = NX_DESIGN_GRID * NY_DESIGN_GRID num_weights = NX_DESIGN_GRID * NY_DESIGN_GRID
epigraph_and_weights = np.ones(shape=num_weights) * 0.5 epigraph_and_weights = np.ones((num_weights,)) * 0.5
epigraph_and_weights = np.insert(epigraph_and_weights, 0, 1.2) epigraph_and_weights = np.insert(epigraph_and_weights, 0, 1.2)
weights_lower_bound = np.zeros(num_weights) weights_lower_bound = np.zeros(num_weights)