document also outlines what issues we consider as TensorFlow security
vulnerabilities.

We recognize issues as vulnerabilities only when they occur in scenarios that we
outline as safe; issues that have a security impact only when TensorFlow is used
in a discouraged way (e.g. running untrusted models or checkpoints, data parsing
outside of the safe formats, etc.) are not treated as vulnerabilities..

        of graphs with partitioned variables saved after using
        `import_meta_graph` with a non-empty `import_scope` argument.
    *   Fix bug in offline debugger which prevented viewing events.
    *   Added the `WorkerService.DeleteWorkerSession` method to the gRPC
        interface, to fix a memory leak. Ensure that your master and worker