avalanche.benchmarks.datasets.Omniglot

class avalanche.benchmarks.datasets.Omniglot(root: str, train: bool = True, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, download: bool = False)

Custom class used to adapt Omniglot (from Torchvision) and make it compatible with the Avalanche API.

__init__(root: str, train: bool = True, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, download: bool = False) → None

Methods

__init__(root[, train, transform, ...])
download()
extra_repr()
register_datapipe_as_function(function_name, ...)
register_function(function_name, function)

Attributes

data
download_url_prefix
folder
functions
zips_md5