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RELEASE.md
deprecated and will be removed in a future release. * Metrics update and collection logic in default `Model.train_step()` is now customizable via overriding `Model.compute_metrics()`. * Losses computation logic in default `Model.train_step()` is now customizable via overriding `Model.compute_loss()`.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
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: * They do not support parameterization: all logic for creating the underlying
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)