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])apply(transformations)Returns a dataset with the given transformation(s) applied.
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_prefetchinstead.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