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  1. SECURITY.md

    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
    models or graphs is equivalent to running untrusted code.
    
    If you need to run untrusted models, execute them inside a
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  2. ci/official/README.md

    2. Running the CI scripts locally, as explained below
    3. **Google employees only**: Google employees can use an internal-only tool
    called "MLCI" that makes testing more convenient: it can execute any full CI job
    against a pending change. Search for "MLCI" internally to find it.
    
    You may invoke a CI script of your choice by following these instructions:
    
    ```bash
    cd tensorflow-git-dir
    
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