*   Add `tf.contrib.framework.CriticalSection` that allows atomic variable
        access.
    *   Output variance over trees predictions for classifications tasks.
    *   For `pt` and `eval` commands, allow writing tensor values to filesystem
        as numpy files.
    *   gRPC: Propagate truncated errors (instead of returning gRPC internal
        error).