based server to register tf.function methods and a GRPC client to invoke
        remote registered methods. RPC APIs are intended for multi-client setups
        i.e. server and clients are started in separate binaries independently.

    *   Example usage to create server: ```python server =
        tf.distribute.experimental.rpc.Server.create("grpc", "127.0.0.1:1234")

display: flex;\n    -ms-flex-align: center;\n    align-items: center;\n    -ms-flex-pack: center;\n    justify-content: center;\n    width: auto;\n    padding-left: 0;\n  }\n  .form-inline .form-check-input {\n    position: relative;\n    -ms-flex-negative: 0;\n    flex-shrink: 0;\n    margin-top: 0;\n    margin-right: 0.25rem;\n    margin-left: 0;\n  }\n  .form-inline .custom-control {\n    -ms-flex-align: center;\n    align-items: center;\n    -ms-flex-pack: center;\n    justify-content: center;\n...