tf.data.experimental.get_next_as_optional
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Returns an Optional that contains the next value from the iterator.
tf.data.experimental.get_next_as_optional(
iterator
)
If iterator has reached the end of the sequence, the returned Optional
will have no value.
Returns |
|---|
An Optional object representing the next value from the iterator (if it
has one) or no value.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.data.experimental.get_next_as_optional\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/data/experimental/get_next_as_optional) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/data/ops/iterator_ops.py#L800-L820) |\n\nReturns an `Optional` that contains the next value from the iterator.\n\n#### View aliases\n\n\n**Main aliases**\n\n\\`tf.contrib.data.get_next_as_optional\\`\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.data.experimental.get_next_as_optional`](/api_docs/python/tf/data/experimental/get_next_as_optional), \\`tf.compat.v2.data.experimental.get_next_as_optional\\`\n\n\u003cbr /\u003e\n\n tf.data.experimental.get_next_as_optional(\n iterator\n )\n\nIf `iterator` has reached the end of the sequence, the returned `Optional`\nwill have no value.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------|---------------------------------------------------------------------|\n| `iterator` | A [`tf.compat.v1.data.Iterator`](../../../tf/data/Iterator) object. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| An `Optional` object representing the next value from the iterator (if it has one) or no value. ||\n\n\u003cbr /\u003e"]]
TensorFlow 2 version
View source on GitHub