gigl.src.training.v1.lib.data_loaders.CombinedIterableDatasets

class gigl.src.training.v1.lib.data_loaders.tf_records_iterable_dataset.CombinedIterableDatasets(iterable_dataset_map: Dict[NodeType, IterableDataset[T]])

Bases: IterableDataset, Generic[T]

Methods

__init__

classmethod __class_getitem__()

Represent a PEP 585 generic type

E.g. for t = list[int], t.__origin__ is list and t.__args__ is (int,).

__init__(iterable_dataset_map: Dict[NodeType, IterableDataset[T]]) → None

classmethod __init_subclass__(*args, **kwargs)

This method is called when a class is subclassed.

The default implementation does nothing. It may be overridden to extend subclasses.

classmethod __subclasshook__(C)

Abstract classes can override this to customize issubclass().

This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).

__weakref__

list of weak references to the object (if defined)