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ci/official/requirements_updater/BUILD.bazel
compile_pip_requirements_3_9( name = "requirements_3_9", extra_args = ["--allow-unsafe"], requirements_in = REQUIREMENTS_FILE_NAME, requirements_txt = "requirements_lock_3_9.txt", ) compile_pip_requirements_3_10( name = "requirements_3_10", extra_args = ["--allow-unsafe"], requirements_in = REQUIREMENTS_FILE_NAME, requirements_txt = "requirements_lock_3_10.txt", )
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ci/official/utilities/code_check_changed_files.bats
setup_file() { bazel version # Start the bazel server # Fixes "fatal: detected dubious ownership in repository" for Docker. git config --system --add safe.directory '*' git config --system protocol.file.allow always # Note that you could generate a list of all the affected targets with e.g.: # bazel query $(paste -sd "+" $BATS_FILE_TMPDIR/changed_files) --keep_going
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ci/official/requirements_updater/README.md
name = "requirements_3_11", extra_args = ["--allow-unsafe"], requirements_in = "requirements.in", requirements_txt = "requirements_lock_3_11.txt", ) ``` ``` compile_pip_requirements_3_11( name = "requirements_3_11_release", extra_args = [ "--allow-unsafe", "-P keras-nightly", "-P tb-nightly",
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CONTRIBUTING.md
* If you work for a company that wants to allow you to contribute your work, then you'll need to sign a [corporate CLA](https://code.google.com/legal/corporate-cla-v1.0.html).
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SECURITY.md
For example, if an attacker were to upload a malicious video file, they could potentially exploit a vulnerability in the TensorFlow code that handles videos, which could allow them to execute arbitrary code on the system running TensorFlow. 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
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RELEASE.md
[FTRL paper](https://research.google.com/pubs/archive/41159.pdf). * `Optimizer.__init__` now accepts a `gradient_aggregator` to allow for customization of how gradients are aggregated across devices, as well as `gradients_transformers` to allow for custom gradient transformations (such as gradient clipping). * Improvements to Keras preprocessing layers:
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tensorflow/BUILD
# This setting is currently experimental. The 'v2' implementation does _not_ # correspond to a particular, finalized design; rather, it relates to # developing one. # # The current aim of the 'v2' implementation is to allow 'unused' ops and # kernels to be discarded by the linker (to the benefit of binary size). bool_flag( name = "enable_registration_v2", build_setting_default = False, visibility = ["//visibility:public"],
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.bazelrc
# opts in to modular op registration support by default. build --define framework_shared_object=true build --define tsl_protobuf_header_only=true build --define=use_fast_cpp_protos=true build --define=allow_oversize_protos=true build --spawn_strategy=standalone build -c opt # Make Bazel print out all options from rc files. build --announce_rc # TODO(mihaimaruseac): Document this option or remove if no longer needed
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