fdtdx.TanhProjection

fdtdx.TanhProjection#

class fdtdx.TanhProjection(*, projection_midpoint=0.5)[source]#

Bases: SameShapeTypeParameterTransform

Tanh projection filter.

This needs the steepness parameter $beta$ as a keyword-argument in apply_params

Ref: F. Wang, B. S. Lazarov, & O. Sigmund, On projection methods, convergence and robust formulations in topology optimization. Structural and Multidisciplinary Optimization, 43(6), pp. 767-784 (2011).

Notes

The call method requires a beta parameter as a keyword argument passed to the parameter transformation

Quick Reference#

Attributes

Methods

Attributes#

TanhProjection.projection_midpoint: float#

Midpoint of the TanhProjection. Defaults to 0.5.

Methods#

TanhProjection.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

TanhProjection.get_class_fields()#
Return type:

list[TreeClassField]

TanhProjection.get_input_shape(output_shape)#
Return type:

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

TanhProjection.get_output_type(input_type)#
Return type:

dict[str, ParameterType]

TanhProjection.get_public_fields()#
Return type:

list[TreeClassField]

TanhProjection.init_module(config, materials, matrix_voxel_grid_shape, single_voxel_size, output_shape)#
Return type:

Self

TanhProjection.init_type(input_type)#
Return type:

Self

If you find any errors in the documentation, please report them in the Github Issues!