tf.data.experimental.unbatch

View source on GitHub

Splits elements of a dataset into multiple elements on the batch dimension. (deprecated)

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.data.experimental.unbatch

tf.data.experimental.unbatch()

For example, if elements of the dataset are shaped [B, a0, a1, ...], where B may vary for each input element, then for each element in the dataset, the unbatched dataset will contain B consecutive elements of shape [a0, a1, ...].

# NOTE: The following example uses `{ ... }` to represent the contents
# of a dataset.
a = { ['a', 'b', 'c'], ['a', 'b'], ['a', 'b', 'c', 'd'] }

a.unbatch() == {
    'a', 'b', 'c', 'a', 'b', 'a', 'b', 'c', 'd'}

Returns
A Dataset transformation function, which can be passed to tf.data.Dataset.apply.