DeepSDFStruct.deep_sdf.networks.analytic_round_cross

Analytic Round Cross Decoder Network

This module implements a specialized decoder architecture for round cross lattice structures with analytical parametrization. The network incorporates geometric priors specific to cross-shaped lattice unit cells.

The architecture is similar to the standard DeepSDF decoder but may include specialized layers or constraints to better represent the round cross geometry family, which is common in mechanical metamaterials.

Classes

RoundCrossDecoder(latent_size, dims, ...[, ...])

class DeepSDFStruct.deep_sdf.networks.analytic_round_cross.RoundCrossDecoder(latent_size, dims, geom_dimension, dropout=None, dropout_prob=0.0, norm_layers=(), latent_in=(), weight_norm=False, xyz_in_all=None, use_tanh=False, latent_dropout=False)

Bases: torch.nn.modules.module.Module

forward(input)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.