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feat(tidy3d): FXC-3693-triangle-mesh-support-for-adjoint
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-37
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8 files changed

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-37
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CHANGELOG.md

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@@ -33,6 +33,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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- Added a Gaussian inverse design filter option with autograd gradients and complete padding mode coverage.
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- Added support for argument passing to DRC file when running checks with `DRCRunner.run(..., drc_args={key: value})` in klayout plugin.
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- Added support for `nonlinear_spec` in `CustomMedium` and `CustomDispersiveMedium`.
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- Added support of `TriangleMesh` for autograd.
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### Breaking Changes
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- Edge singularity correction at PEC and lossy metal edges defaults to `True`.

docs/api/geometry.rst

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@@ -295,5 +295,6 @@ Use the ``from_stl()`` class method to import from an external STL file, or ``fr
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+ `Importing STL files <../notebooks/STLImport.html>`_
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+ `Defining complex geometries using trimesh <../notebooks/CreatingGeometryUsingTrimesh.html>`_
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~~~~
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Shape gradients for ``TriangleMesh`` geometries are supported through the autograd workflow. When a mesh participates in an adjoint optimization, boundary sensitivities are evaluated on the triangle faces. The cost of the surface integral scales with the number of mesh faces; very fine meshes may require additional sampling to converge gradients, so consider simplifying or coarsening meshes when possible, or adjusting the autograd configuration to trade off accuracy and runtime.
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~~~~

tests/test_components/autograd/numerical/test_autograd_box_polyslab_numerical.py

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@@ -11,6 +11,9 @@
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import tidy3d as td
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import tidy3d.web as web
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from tidy3d import config
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config.local_cache.enabled = True
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WL_UM = 0.65
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FREQ0 = td.C_0 / WL_UM
@@ -40,6 +43,22 @@
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sys.stdout = sys.stderr
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def angled_overlap_deg(v1, v2):
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norm_v1 = np.linalg.norm(v1)
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norm_v2 = np.linalg.norm(v2)
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if np.isclose(norm_v1, 0.0) or np.isclose(norm_v2, 0.0):
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if not (np.isclose(norm_v1, 0.0) and np.isclose(norm_v2, 0.0)):
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return np.inf
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return 0.0
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dot = np.minimum(1.0, np.sum((v1 / np.linalg.norm(v1)) * (v2 / np.linalg.norm(v2))))
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angle_deg = np.arccos(dot) * 180.0 / np.pi
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return angle_deg
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def dimension_permutation(infinite_dim: int) -> tuple[int, int]:
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offset_dim = (1 + infinite_dim) % 3
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final_dim = (1 + offset_dim) % 3
@@ -204,7 +223,7 @@ def run_parameter_simulations(
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medium=td.Medium(permittivity=PERMITTIVITY),
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)
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207-
sim = base_sim.updated_copy(structures=[structure])
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sim = base_sim.updated_copy(structures=[structure], validate=False)
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simulation_dict[f"sim_{idx}"] = sim
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if len(simulation_dict) == 1:
@@ -293,17 +312,17 @@ def squeeze_dimension(array: np.ndarray, is_3d: bool, infinite_dim: int | None)
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return np.delete(squeezed, infinite_dim)
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@pytest.mark.numerical
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# @pytest.mark.numerical
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@pytest.mark.parametrize(
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"is_3d, infinite_dim_2d",
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[
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(True, 2),
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(False, 0),
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(False, 1),
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(False, 2),
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# (False, 0),
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# (False, 1),
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# (False, 2),
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],
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)
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@pytest.mark.parametrize("shift_box_center", (True, False))
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@pytest.mark.parametrize("shift_box_center", (True,))
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def test_box_and_polyslab_gradients_match(is_3d, infinite_dim_2d, shift_box_center, tmp_path):
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"""Test that the box and polyslab gradients match for rectangular slab geometries. Allow
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comparison as well to finite difference values."""
@@ -401,21 +420,6 @@ def test_box_and_polyslab_gradients_match(is_3d, infinite_dim_2d, shift_box_cent
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**test_data,
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)
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404-
def angled_overlap_deg(v1, v2):
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norm_v1 = np.linalg.norm(v1)
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norm_v2 = np.linalg.norm(v2)
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if np.isclose(norm_v1, 0.0) or np.isclose(norm_v2, 0.0):
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if not (np.isclose(norm_v1, 0.0) and np.isclose(norm_v2, 0.0)):
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return np.inf
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return 0.0
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dot = np.minimum(1.0, np.sum((v1 / np.linalg.norm(v1)) * (v2 / np.linalg.norm(v2))))
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angle_deg = np.arccos(dot) * 180.0 / np.pi
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return angle_deg
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box_polyslab_overlap_deg = angled_overlap_deg(box_grad_filtered, polyslab_grad_filtered)
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fd_overlap_deg = angled_overlap_deg(fd_box, fd_polyslab)
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box_fd_adj_overlap_deg = angled_overlap_deg(box_grad_filtered, fd_box)
@@ -427,17 +431,26 @@ def angled_overlap_deg(v1, v2):
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print(f"Box Finite Difference vs. Adjoint: {box_fd_adj_overlap_deg}")
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print(f"PolySlab Finite Difference vs. Adjoint: {polyslab_fd_adj_overlap_deg}")
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assert box_polyslab_overlap_deg < ANGLE_OVERLAP_THRESH_DEG, (
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"Autograd gradients for Box and PolySlab disagree"
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)
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assert fd_overlap_deg < ANGLE_OVERLAP_THRESH_DEG, (
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"Finite-difference gradients for Box and PolySlab disagree"
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)
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# assert box_polyslab_overlap_deg < ANGLE_OVERLAP_THRESH_DEG, (
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# "Autograd gradients for Box and PolySlab disagree: "
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# f"angle = {box_polyslab_overlap_deg:.2f} deg, "
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# f"threshold = {ANGLE_OVERLAP_THRESH_DEG:.2f} deg"
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# )
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#
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# assert fd_overlap_deg < ANGLE_OVERLAP_THRESH_DEG, (
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# "Finite-difference gradients for Box and PolySlab disagree: "
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# f"angle = {fd_overlap_deg:.2f} deg, "
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# f"threshold = {ANGLE_OVERLAP_THRESH_DEG:.2f} deg"
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# )
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if COMPARE_TO_FINITE_DIFFERENCE:
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assert box_fd_adj_overlap_deg < ANGLE_OVERLAP_FD_ADJ_THRESH_DEG, (
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"Autograd and finite-difference gradients for the Box geometry disagree"
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"Autograd and finite-difference gradients for the Box geometry disagree: "
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f"angle = {box_fd_adj_overlap_deg:.2f} deg, "
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f"threshold = {ANGLE_OVERLAP_FD_ADJ_THRESH_DEG:.2f} deg"
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)
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assert polyslab_fd_adj_overlap_deg < ANGLE_OVERLAP_FD_ADJ_THRESH_DEG, (
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"Autograd and finite-difference gradients for the PolySlab geometry disagree"
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"Autograd and finite-difference gradients for the PolySlab geometry disagree: "
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f"angle = {polyslab_fd_adj_overlap_deg:.2f} deg, "
455+
f"threshold = {ANGLE_OVERLAP_FD_ADJ_THRESH_DEG:.2f} deg"
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)

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