hxtorch.spiking.datasets.yinyang.Dataset

class hxtorch.spiking.datasets.yinyang.Dataset(*args, **kwds)

Bases: Generic[torch.utils.data.dataset.T_co]

An abstract class representing a Dataset.

All datasets that represent a map from keys to data samples should subclass it. All subclasses should overwrite __getitem__(), supporting fetching a data sample for a given key. Subclasses could also optionally overwrite __len__(), which is expected to return the size of the dataset by many Sampler implementations and the default options of DataLoader.

Note

DataLoader by default constructs a index sampler that yields integral indices. To make it work with a map-style dataset with non-integral indices/keys, a custom sampler must be provided.

__init__()

Initialize self. See help(type(self)) for accurate signature.

Methods