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tf.compat.v1.data.make_initializable_iterator

Creates an iterator for elements of dataset.

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.data.Iterator for 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/r2.3/api_docs/python/tf/compat/v1/data/make_initializable_iterator