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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 - 793K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.19.md
- github.com/gorilla/mux: [v1.7.0 → v1.7.3](https://github.com/gorilla/mux/compare/v1.7.0...v1.7.3) - github.com/json-iterator/go: [v1.1.8 → v1.1.10](https://github.com/json-iterator/go/compare/v1.1.8...v1.1.10) - github.com/jstemmer/go-junit-report: [af01ea7 → v0.9.1](https://github.com/jstemmer/go-junit-report/compare/af01ea7...v0.9.1)
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed Jan 05 05:42:32 UTC 2022 - 489.7K bytes - Viewed (0) -
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 - 730.3K bytes - Viewed (0)