insecureSkipVerify:
                                    description: '`insecureSkipVerify` specifies whether
                                      the proxy should skip verifying the CA signature
                                      and SAN for the server certificate corresponding
                                      to the host.'
                                    nullable: true

                                  insecureSkipVerify:
                                    description: '`insecureSkipVerify` specifies whether
                                      the proxy should skip verifying the CA signature
                                      and SAN for the server certificate corresponding
                                      to the host.'
                                    nullable: true

                                  insecureSkipVerify:
                                    description: '`insecureSkipVerify` specifies whether
                                      the proxy should skip verifying the CA signature
                                      and SAN for the server certificate corresponding
                                      to the host.'
                                    nullable: true

		{"(*Decoder).Decode", Method, 0},
		{"(*Decoder).DecodeElement", Method, 0},
		{"(*Decoder).InputOffset", Method, 4},
		{"(*Decoder).InputPos", Method, 19},
		{"(*Decoder).RawToken", Method, 0},
		{"(*Decoder).Skip", Method, 0},
		{"(*Decoder).Token", Method, 0},
		{"(*Encoder).Close", Method, 20},
		{"(*Encoder).Encode", Method, 0},
		{"(*Encoder).EncodeElement", Method, 2},
		{"(*Encoder).EncodeToken", Method, 2},

      advanced use cases can also write their own custom
      `tf.train.experimental.ShardingCallback`s.

* `tf.train.CheckpointOptions`
    * Added `experimental_skip_slot_variables` (a boolean option) to skip
    restoring of optimizer slot variables in a checkpoint.

*   `tf.saved_model.SaveOptions`

    * `SaveOptions` now takes a new argument called