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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
} def TF_MakeIteratorOp : TF_Op<"MakeIterator", []> { let summary = [{ Makes a new iterator from the given `dataset` and stores it in `iterator`. }]; let description = [{ This operation may be executed multiple times. Each execution will reset the iterator in `iterator` to the first element of `dataset`. }]; let arguments = (ins TF_VariantTensor:$dataset,
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
been changed. It now returns a function that can be used as an argument to `Dataset.apply()`. * Remove `tf.contrib.data.Iterator.from_dataset()` method. Use `Dataset.make_initializable_iterator()` instead. * Remove seldom used and unnecessary `tf.contrib.data.Iterator.dispose_op()`. * Reorder some TF-GAN loss functions in a non-backwards compatible way. ## Known Issues
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)