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  1. RELEASE.md

            files.
    *   Eager Execution:
        *   With eager execution Datasets can now be used as standard python
            iterators (`for batch in dataset:`). Both `Dataset.__iter__()` and
            `Dataset.make_one_shot_iterator()` can now be used to create iterators
            when eager execution is enabled.
        *   Automatic device placement has been enabled (i.e., use a GPU if
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
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  2. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

      let summary = [{
    Makes a "one-shot" iterator that can be iterated only once.
      }];
    
      let description = [{
    A one-shot iterator bundles the logic for defining the dataset and
    the state of the iterator in a single op, which allows simple input
    pipelines to be defined without an additional initialization
    ("MakeIterator") step.
    
    One-shot iterators have the following limitations:
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
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