tf.compat.v1.data.make_one_shot_iterator

Creates an iterator for elements of dataset.

tf.compat.v1.data.make_one_shot_iterator(
    dataset
)

Migrate to TF2

This is a legacy API for consuming dataset elements and should only be used during transition from TF 1 to TF 2. Note that using this API should be a transient state of your code base as there are in general no guarantees about the interoperability of TF 1 and TF 2 code.

In TF 2 datasets are Python iterables which means you can consume their elements using for elem in dataset: ... or by explicitly creating iterator via iterator = iter(dataset) and fetching its elements via values = next(iterator).

Description

Note: The returned iterator will be initialized automatically. A "one-shot" iterator does not support re-initialization.

Args
dataset	A tf.data.Dataset.

Returns
A tf.data.Iterator for elements of dataset.