automatically on GitHub.

If you want to contribute, start working through the TensorFlow codebase,
navigate to the
[GitHub "issues" tab](https://github.com/tensorflow/tensorflow/issues) and start
looking through interesting issues. If you are not sure of where to start, then
start by trying one of the smaller/easier issues here i.e.

    *   Added top-k to precision and recall to keras metrics.
    *   Add a ragged size op and register it to the op dispatcher
    *   Transitive dependencies on :`pooling_ops` were removed. Some users may
        need to add explicit dependencies on :`pooling_ops` if they reference
        the operators from that library.
    *   Add `CompositeTensor` base class.

        "//tensorflow/lite/toco:toco_flags_proto_cc",
        "//tensorflow/lite/toco:toco_graphviz_dump_options",
        "//tensorflow/lite/toco:toco_port",
        "//tensorflow/lite/toco:toco_tooling",
        "//tensorflow/lite/toco:tooling_util",
        "//tensorflow/lite/toco:types_proto_cc",
        "//tensorflow/lite:framework",
        "//tensorflow/lite:shared_library",
        "//tensorflow/lite:stateful_error_reporter",