grain.experimental.WindowShuffleIterDataset

class grain.experimental.WindowShuffleIterDataset(parent, *, window_size, seed)

Shuffles the parent dataset within a given window.

Fetches window_size elements from the parent iterator and returns them in shuffled order. Each window is shuffled with different seed derived from the input seed.

Parameters:

• parent (dataset.IterDataset)

• window_size (int)

• seed (int)

__init__(parent, *, window_size, seed)

Parameters:

• parent (IterDataset)

• window_size (int)

• seed (int)

Methods

__init__(parent, *, window_size, seed)
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