def METHOD_NAME(self):
    (
        config,
        input_ids,
        input_mask,
        sequence_labels,
        token_labels,
        choice_labels,
    ) = self.prepare_config_and_inputs()
    encoder_hidden_states = floats_tensor([self.batch_size, self.seq_length, self.hidden_size])
    encoder_attention_mask = paddle.cast(
        ids_tensor([self.batch_size, self.seq_length], vocab_size=2), dtype="float32"
    )
    return (
        config,
        input_ids,
        input_mask,
        sequence_labels,
        token_labels,
        choice_labels,
        encoder_hidden_states,
        encoder_attention_mask,
    )