def __init__(self, datasets, num_classes, target_transform=None):
Task.__init__(self, num_classes)
ConcatDataset.__init__(self, datasets)
for task in self.datasets:
task.target_transform_append(target_transform)
def __init__(self, datasets):
Dataset.__init__(self)
TorchConcatDataset.__init__(self, datasets)
def __init__(self, datasets: Iterable[Distributed], tag=None):
datasets = list(datasets)
statTitle = unique(sum([i.statTitle for i in datasets], []))
self.tag = tag
ConcatDataset.__init__(self, datasets)
Distributed.__init__(self, statTitle)
def __init__(self, datasets: Sequence[MultifieldDataset]):
ConcatDataset.__init__(self, datasets=datasets)
def __init__(self, datasets, num_classes, target_transform=None):
index = tuple(task.index for task in datasets)
Task.__init__(self, index, num_classes)
ConcatDataset.__init__(self, datasets)
for task in self.datasets:
task.target_transform_append(target_transform)
