tf.data.experimental.unbatch
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Splits elements of a dataset into multiple elements on the batch dimension. (deprecated)
tf . data . experimental . unbatch ()
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version.
Instructions for updating:
Use tf.data.Dataset.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 '}
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Last updated 2020-10-01 UTC.
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