grain.experimental.ZipIterDataset

class grain.experimental.ZipIterDataset(parents, *, strict=True)

Combines IterDatasets of the same length to return a tuple of items.

Parameters:

• parents (Sequence[dataset.IterDataset[T]])

• strict (bool)

__init__(parents, *, strict=True)

Parameters:

• parents (Sequence[IterDataset[T]])

• strict (bool)

Methods

__init__(parents, *[, strict])
batch(batch_size, *[, drop_remainder, batch_fn])	Returns a dataset of elements batched along a new first dimension.
filter(transform)	Returns a dataset containing only the elements that match the filter.
map(transform)	Returns a dataset containing the elements transformed by transform.
map_with_index(transform)	Returns a dataset of the elements transformed by the transform.
mp_prefetch([options, worker_init_fn])	Returns a dataset prefetching elements in multiple processes.
pipe(func, /, *args, **kwargs)	Syntactic sugar for applying a callable to this dataset.
prefetch(multiprocessing_options)	Deprecated, use mp_prefetch instead.
random_map(transform, *[, seed])	Returns a dataset containing the elements transformed by transform.
seed(seed)	Returns a dataset that uses the seed for default seed generation.

Attributes

parents