In addition to modeling sequences like word sentences <cite>(Vaswani et al., 2017)</cite> or music signals (Huang et al., 2018b) , the <cite>Transformer</cite> can also be applied to images (Parmar et al., 2018) , sets , and multimodal sequences (Tsai et al., 2019a) .