Watch talks from the 2019 TensorFlow Dev Summit Watch now

tf.data.experimental.unbatch

tf.data.experimental.unbatch()

Defined in tensorflow/python/data/experimental/ops/batching.py.

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

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.apply(tf.data.experimental.unbatch()) == {
    'a', 'b', 'c', 'a', 'b', 'a', 'b', 'c', 'd'}

Returns:

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