barlowtwins

BarlowTwins(model, projection_mlp, criterion, classifier=None, optimizer=None, lr_scheduler=None, lr_scheduler_interval='epoch')

Bases: SSLModule

BarlowTwins model.

Parameters:

• model (Module) –

  Network Module used for extract features

• projection_mlp (Module) –

  Module to project extracted features

• criterion (Module) –

  SSL loss to be applied

• classifier (ClassifierMixin | None, default: None ) –

  Standard sklearn classifier. Defaults to None.

• optimizer (Optimizer | None, default: None ) –

  optimizer of the training. If None a default Adam is used. Defaults to None.

• lr_scheduler (object | None, default: None ) –

  lr scheduler. If None a default ReduceLROnPlateau is used. Defaults to None.

• lr_scheduler_interval (str | None, default: 'epoch' ) –

  interval at which the lr scheduler is updated. Defaults to "epoch".

Source code in quadra/modules/ssl/barlowtwins.py

def __init__(
    self,
    model: nn.Module,
    projection_mlp: nn.Module,
    criterion: nn.Module,
    classifier: sklearn.base.ClassifierMixin | None = None,
    optimizer: optim.Optimizer | None = None,
    lr_scheduler: object | None = None,
    lr_scheduler_interval: str | None = "epoch",
):
    super().__init__(model, criterion, classifier, optimizer, lr_scheduler, lr_scheduler_interval)
    # self.save_hyperparameters()
    self.projection_mlp = projection_mlp
    self.criterion = criterion