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  1. CODE_OF_CONDUCT.md

        real-time medium.
    2.  If this fails, get a third party (e.g. a mutual friend, and/or someone with
        background on the issue, but not involved in the conflict) to intercede.
    3.  If you are still unable to resolve the conflict, and you believe it rises to
        harassment or another code of conduct violation, report it.
    
    ## Reporting Violations
    
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  2. 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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  3. ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats

    }
    
    @test "TensorFlow is importable" {
        source /tf/venv/bin/activate
        python3 -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
    }
    
    # Is this still useful?
    @test "TensorFlow has Keras" {
        source /tf/venv/bin/activate
        python3 -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'
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  4. 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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  5. CONTRIBUTING.md

    example, you can build the pip package with debugging information by running:
    
    ```bash
    bazel build --config=dbg //tensorflow/tools/pip_package:build_pip_package
    ```
    
    TensorFlow kernels and TensorFlow's dependencies are still not built with
    debugging information with `--config=dbg`, as issues occur on Linux if
    there is too much debug info (see [this GitHub
    issue](https://github.com/tensorflow/tensorflow/issues/48919) for context). If
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  6. .bazelrc

    build:monolithic --define framework_shared_object=false
    build:monolithic --define tsl_protobuf_header_only=false
    build:monolithic --experimental_link_static_libraries_once=false  # b/229868128
    
    # Please note that MKL on MacOS is still not supported.
    # If you would like to use a local MKL instead of downloading, please set the
    # environment variable "TF_MKL_ROOT" every time before build.
    build:mkl --define=build_with_mkl=true --define=enable_mkl=true
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  7. RELEASE.md

    # Release 2.14.0
    
    ## Tensorflow
    
    ### Breaking Changes
    
    *   Support for Python 3.8 has been removed starting with TF 2.14. The TensorFlow 2.13.1 patch release will still have Python 3.8 support.
    
    *  `tf.Tensor`
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