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ISSUES.md
1. Make sure the Issue Template is filled out. 1. The issue should be related to the repo it is created in. **Here's why we have this policy:** We want to focus on the work that benefits the whole community, e.g., fixing bugs and adding features. Individual support should be sought on Stack Overflow or other non-GitHub channels. It helps us to
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ci/official/requirements_updater/README.md
All the files referenced below are located in the same directory as this README, unless indicated otherwise. 1) Add the new version to the `VERSIONS` variable inside `tensorflow/tools/toolchains/python/python_repo.bzl`. \ While this isn't necessary for running the updater, it is required for actually using the new version with Tensorflow. 2) In the `WORKSPACE` file, add the new version to the `python_versions`
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tensorflow/c/BUILD
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CONTRIBUTING.md
- Rarely, If the tests fail at this stage, we cannot merge the code. - If needed, we may come to you to make some changes. At times, it may not be you, it may be us who may have hit a snag. Please be patient while we work to fix this. - Once the internal tests pass, we go ahead and merge the code internally as well as externally on GitHub. In a graphical form, the entire lifetime of a PR looks like
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LICENSE
form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of,
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SECURITY.md
### Compilation Compiling models via the recommended entry points described in [XLA](https://www.tensorflow.org/xla) and [JAX](https://jax.readthedocs.io/en/latest/jax-101/02-jitting.html) documentation should be safe, while some of the testing and debugging tools that come with the compiler are not designed to be used with untrusted data and should be used with caution when working with untrusted models. ### Saved graphs and checkpoints
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RELEASE.md
* `tf.cond` emits a StatelessIf op if the branch functions are stateless and do not touch any resources. * `tf.cond`, `tf.while` and `if` and `while` in AutoGraph now accept a nonscalar predicate if has a single element. This does not affect non-V2 control flow. * `tf.while_loop` emits a StatelessWhile op if the cond and body functions are stateless and do not touch any resources.
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/tf_sig_build_dockerfiles/devel.usertools/code_check_full.bats Here are the affected tests: EOF while read dep; do echo "For dependency $dep:" # For every missing dependency, find the tests which directly depend on # it, and print that list for debugging. Not really clear if this is
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.bazelrc
# then tackle this issue again. # # TODO: Remove the following two lines once TF doesn't depend on Bazel wrapping # all library archives in -whole_archive -no_whole_archive. build --noincompatible_remove_legacy_whole_archive build --features=-force_no_whole_archive # TODO(mihaimaruseac): Document this option or remove if no longer needed build --enable_platform_specific_config # Enable XLA support by default.
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ci/official/utilities/code_check_full.bats
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/tf_sig_build_dockerfiles/devel.usertools/code_check_full.bats Here are the affected tests: EOF while read dep; do echo "For dependency $dep:" # For every missing dependency, find the tests which directly depend on # it, and print that list for debugging. Not really clear if this is
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