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TensorFlow 1 version
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View source on GitHub
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Splits elements of a dataset into multiple elements on the batch dimension. (deprecated)
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 | |
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A Dataset transformation function, which can be passed to
tf.data.Dataset.apply.
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