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RELEASE.md
optimizer. * **Learning rate schedule access.** When using a `LearningRateSchedule`, The new optimizer's `learning_rate` property returns the current learning rate value instead of a `LearningRateSchedule` object as before. If you need to access the `LearningRateSchedule` object, please use `optimizer._learning_rate`.
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SECURITY.md
## TensorFlow models are programs TensorFlow [**models**](https://developers.google.com/machine-learning/glossary/#model) (to use a term commonly used by machine learning practitioners) are expressed as programs that TensorFlow executes. TensorFlow programs are encoded as computation [**graphs**](https://developers.google.com/machine-learning/glossary/#graph). Since models are practically programs that TensorFlow executes, using untrusted
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tensorflow/BUILD
# TODO(b/173549186): Move Google-internal TF code out of learning/brain package_group( name = "internal", packages = [ "//devtools/python/indexer/...", "//learning/brain/keras/...", "//learning/brain/mlir/...", "//learning/brain/tfrt/...", "//learning/lib/ami/simple_ml/...", "//learning/pathways/...", "//learning/serving/contrib/tfrt/mlir/canonical_ops/...",
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.bazelrc
# XLA depends on some local Python headers that are configured as Genrule. They # are present on the local host machine but not on the remote execution machine, # leading to build failures. To resolve the issue, the following line is added # to make sure all Genrule targets are excuted locally. build:rbe_cross_compile_base_xla --config=rbe_cross_compile_base
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