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ci/devinfra/README.md
# DevInfra CI Directory > **Warning** This folder is still under construction. It is part of an ongoing > effort to improve the structure of CI and build related files within the > TensorFlow repo. This warning will be removed when the contents of this > directory are stable and appropriate documentation around its usage is in > place. Maintainer: TensorFlow DevInfra Issue Reporting: File an issue against this repo and tag
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CODE_OF_CONDUCT.md
Project Stewards, Thea Lamkin (******@****.***) and Joana Carrasqueira (******@****.***). The Project Steward will determine whether the Code of Conduct was violated, and will issue an appropriate sanction, possibly including a written warning or expulsion from the project, project sponsored spaces, or project forums. We ask that you make a good-faith effort to resolve your conflict via the conflict resolution policy before submitting a report. Violations of the Code of Conduct...
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ci/README.md
# TensorFlow continuous integration > **Warning** This folder is still under construction. It is part of an ongoing > effort to improve the structure of CI and build related files within the > TensorFlow repo. This warning will be removed when the contents of this > directory are stable and appropriate documentation around its usage is in > place. Maintainer: TensorFlow DevInfra
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CONTRIBUTING.md
to the core. * As every PR requires several CPU/GPU hours of CI testing, we discourage submitting PRs to fix one typo, one warning,etc. We recommend fixing the same issue at the file level at least (e.g.: fix all typos in a file, fix all compiler warnings in a file, etc.) * Tests should follow the [testing best practices](https://www.tensorflow.org/community/contribute/tests) guide.
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
} @test "No duplicate files on Windows" { cat <<EOF Please rename files so there are no repeats. For example, README.md and Readme.md would be the same file on Windows. In this test, you would get a warning for "readme.md" because it makes everything lowercase. There are repeats of these filename(s) with different casing: EOF find . | tr '[A-Z]' '[a-z]' | sort | uniq -d | tee $BATS_FILE_TMPDIR/repeats
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ci/official/utilities/code_check_full.bats
} @test "No duplicate files on Windows" { cat <<EOF Please rename files so there are no repeats. For example, README.md and Readme.md would be the same file on Windows. In this test, you would get a warning for "readme.md" because it makes everything lowercase. There are repeats of these filename(s) with different casing: EOF find . | tr '[A-Z]' '[a-z]' | sort | uniq -d | tee $BATS_FILE_TMPDIR/repeats
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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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.bazelrc
build:ios --noenable_platform_specific_config # Suppress all C++ compiler warnings, otherwise build logs become 10s of MBs. build:android --copt=-w build:ios --copt=-w build:linux --host_copt=-w build:macos --copt=-w build:windows --copt=/W0 build:windows --host_copt=/W0 # Suppress most C++ compiler warnings to reduce log size but allow # for specific warnings to still be present. build:linux --copt="-Wno-all"
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tensorflow/c/BUILD
# Tests tf_cuda_library( name = "c_test_util", testonly = 1, srcs = ["c_test_util.cc"], hdrs = ["c_test_util.h"], visibility = [ "//learning/brain:__subpackages__", "//tensorflow:__subpackages__", ], deps = [ ":c_api", ":c_api_experimental", "//tensorflow/core:lib", "//tensorflow/core:protos_all_cc",
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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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