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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. .github/bot_config.yml

             * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.
             * All you need is a good internet connection and you are all set.
          * Try to build TF from sources by changing CPU optimization flags.
       
       *Please let us know if this helps.*
       
    windows_comment: >
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  3. ci/official/README.md

    #   destroys some temporary bazel data and causes longer builds.
    #
    #   You will need the NVIDIA Container Toolkit for GPU testing:
    #   https://github.com/NVIDIA/nvidia-container-toolkit
    #
    #   Note: if you interrupt a bazel command on docker (ctrl-c), you
    #   will need to run `docker exec tf pkill bazel` to quit bazel.
    #
    #   Note: new files created from the container are owned by "root".
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