tf.data.make_initializable_iterator
Creates a tf.compat.v1.data.Iterator
for enumerating the elements of a dataset.
tf.data.make_initializable_iterator( dataset, shared_name=None )
Note:
The returned iterator will be in an uninitialized state, and you must run the iterator.initializer
operation before using it:
dataset = ... iterator = tf.compat.v1.data.make_initializable_iterator(dataset) # ... sess.run(iterator.initializer)
Args | |
---|---|
dataset |
A tf.data.Dataset . |
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.compat.v1.data.Iterator over the elements of dataset . |
Raises | |
---|---|
RuntimeError |
If eager execution is enabled. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/data/make_initializable_iterator