ImmutableList<Cell<R, C, V>> cellList,
      ImmutableSet<R> rowSpace,
      ImmutableSet<C> columnSpace) {
    // use a dense table if more than half of the cells have values
    // TODO(gak): tune this condition based on empirical evidence
    return (cellList.size() > (((long) rowSpace.size() * columnSpace.size()) / 2))
        ? new DenseImmutableTable<R, C, V>(cellList, rowSpace, columnSpace)

policy/control/telemetry - so testing/staging of new settings and versions can be performed
by a different role than the prod version.

The intended users of this repo are users running Istio in production who want to select, tune
and understand each binary that gets deployed, and select which combination to use.

Note: each component can be installed in parallel with an existing Istio 1.0 or 1.1 installation in

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    *   Add `tf.contrib.data.prefetch_to_device`, which enables prefetching
        dataset elements to GPU memory.
    *   Add `tf.contrib.data.AUTOTUNE`, which allows the tf.data runtime to
        automatically tune the prefetch buffer sizes based on your system and
        environment.
    *   Add `tf.contrib.data.make_csv_dataset` for building datasets of CSV
        files.
*   Eager Execution: