GSS#

Arguments#

Options

--batch_numint

Help: Number of batches extracted from the buffer.

  • Default: 1

--gss_minibatch_sizeint

Help: The batch size of the gradient comparison.

  • Default: None

Rehearsal arguments

Arguments shared by all rehearsal-based methods.

--buffer_sizeint

Help: The size of the memory buffer.

  • Default: None

--minibatch_sizeint

Help: The batch size of the memory buffer.

  • Default: None

Classes#

class models.gss.Gss(backbone, loss, args, transform, dataset=None)[source]#

Bases: ContinualModel

Gradient based sample selection for online continual learning.

COMPATIBILITY: List[str] = ['class-il', 'domain-il', 'task-il', 'general-continual']#
NAME: str = 'gss'#
get_grads(inputs, labels)[source]#
static get_parser(parser)[source]#
Return type:

ArgumentParser

observe(inputs, labels, not_aug_inputs, epoch=None)[source]#