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Creates an iterator for elements of dataset.
tf.compat.v1.data.make_initializable_iterator(
dataset: tf.compat.v1.data.Dataset,
shared_name=None
) -> tf.compat.v1.data.Iterator
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
dataset = ...
iterator = tf.compat.v1.data.make_initializable_iterator(dataset)
# ...
sess.run(iterator.initializer)
Args | |
|---|---|
dataset
|
A tf.data.Dataset.
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shared_name
|
(Optional.) If non-empty, the returned iterator will be shared under the given name across multiple sessions that share the same devices (e.g. when using a remote server). |
Returns | |
|---|---|
A tf.data.Iterator for elements of dataset.
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Raises | |
|---|---|
RuntimeError
|
If eager execution is enabled. |