Spec-Zone.ru › TensorFlow

tf.data.experimental.unbatch

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()
Deprecated: 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'}
Returns
A Dataset transformation function, which can be passed to tf.data.Dataset.apply.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/data/experimental/unbatch

Spec-Zone.ru

Настройки Оффлайн Что нового Помощь О нас
Spec-Zone .ru
спецификации, руководства, описания, API