avalanche.training.ExemplarsBuffer

class avalanche.training.ExemplarsBuffer(max_size: int)

ABC for rehearsal buffers to store exemplars.

self.buffer is an AvalancheDataset of samples collected from the previous experiences. The buffer can be updated by calling self.update(strategy).

__init__(max_size: int)

Init.

Parameters

max_size – max number of input samples in the replay memory.

Methods

__init__(max_size)	Init.
resize(strategy, new_size)	Update the maximum size of the buffer.
update(strategy, **kwargs)	Update self.buffer using the strategy state.

Attributes

buffer	Buffer of samples.
max_size	Maximum size of the buffer.