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  1. RELEASE.md

            -  It could also be a simple python or TF utility that you could easily copy over to your own codebase. In those case, just make it your own!
            -  If you believe it should definitely be a public Keras API, please open a feature request in keras GitHub repo.
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  2. .bazelrc

    build:rbe_linux_cpu --repo_env=TF_PYTHON_CONFIG_REPO="@sigbuild-r2.17-clang_config_python"
    build:rbe_linux_cpu --python_path="/usr/bin/python3"
    # These you may need to change for your own GCP project.
    common:rbe_linux_cpu --remote_instance_name=projects/tensorflow-testing/instances/default_instance
    
    # TODO(kanglan): Remove it after toolchain update is complete.
    build:rbe_linux_cpu_old --config=rbe_linux
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