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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.

© 2020 The TensorFlow Authors. All rights reserved.
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