gnn_tracking.models.meta#
Wrappers and other “meta” models.
Classes#
Sequentially apply modules for and take care of hyperparameters. |
Module Contents#
- class gnn_tracking.models.meta.Sequential(layers: list[torch.nn.Module])#
Bases:
torch.nn.Module,pytorch_lightning.core.mixins.hparams_mixin.HyperparametersMixinSequentially apply modules for and take care of hyperparameters.
- _layers#
- forward(data: torch_geometric.data.Data) torch_geometric.data.Data#
Forward.