fdtdx.ClosestIndex

class fdtdx.ClosestIndex(*, mapping_from_inverse_permittivities=False)

Bases: ParameterTransformation

Maps continuous latent values to nearest allowed material indices.

For each input value, finds the index of the closest allowed inverse permittivity value. Uses straight-through gradient estimation to maintain differentiability. If mapping_from_inverse_permittivities is set to False (default), then the transform only quantizes the latent parameters to the closest integer value.

Quick Reference

Attributes

• mapping_from_inverse_permittivities

Methods

• aset

• get_class_fields

• get_input_shape

• get_output_type

• get_public_fields

• init_module

• init_type

Attributes

ClosestIndex.mapping_from_inverse_permittivities: bool

a boolean value set for inverse_permittivities

Methods

ClosestIndex.aset(attr_name, val, create_new_ok=False)

Sets an attribute of this class. In contrast to the classical .at[].set(), this method updates the class attribute directly and does not only operate on jax pytree leaf nodes. Instead, replaces the full attribute with the new value.

The attribute can either be the attribute name of this class, or for nested classes it can also be the attribute name of a class, which itself is an attribute of this class. The syntax for this operation could look like this: “a->b->[0]->[‘name’]”. Here, the current class has an attribute a, which has an attribute b, which is a list, which we index at index 0, which is an element of type dictionary, which we index using the dictionary key ‘name’.

Note that dictionary keys cannot contain square brackets or single quotes (even if they are escaped).

Parameters:

• attr_name (str) – Name of attribute to set

• val (Any) – Value to set the attribute to

• create_new_ok (bool, optional) – If false (default), throw an error if the attribute does not exist. If true, creates a new attribute if the attribute name does not exist yet.

Returns:

Updated instance with new attribute value

Return type:

Self

ClosestIndex.get_class_fields()

Return type:

list[TreeClassField]

ClosestIndex.get_input_shape(output_shape)

Return type:

dict[str, tuple[int, ...]]

ClosestIndex.get_output_type(input_type)

Return type:

dict[str, ParameterType]

ClosestIndex.get_public_fields()

Return type:

list[TreeClassField]

ClosestIndex.init_module(config, materials, matrix_voxel_grid_shape, single_voxel_size, output_shape)

Return type:

Self

ClosestIndex.init_type(input_type)

Return type:

Self

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