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RELEASE.md
* `tf.saved_model.SaveOptions` * `SaveOptions` now takes a new argument called `experimental_debug_stripper`. When enabled, this strips the debug nodes from both the node defs and the function defs of the graph. Note that this currently only strips the `Assert` nodes from the graph and converts them into `NoOp`s instead. * `tf.data` * `tf.data` now has an `autotune_options.initial_parallelism` option to
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SECURITY.md
It is important to keep TensorFlow up to date with the latest security patches and follow the sandboxing guideline above to protect against these types of vulnerabilities. ## Security properties of execution modes TensorFlow has several execution modes, with Eager-mode being the default in v2. Eager mode lets users write imperative-style statements that can be easily inspected and debugged and it is intended to be used during the development phase.
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