tf.data.experimental.unbatch

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

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'} 

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