Abstract: Transformer systems and methods of using such transformer systems including computer programs encoded on a computer storage medium, for performing a deep learning task on an input sequence to generate an encoded output. In one aspect, one of the transformer systems includes an encoder architecture block, comprising: a spectral transform mixing layer that receives input embeddings of input tokens and generates, as output, a spectral transform output along a sequence dimension of the input embeddings; and a feed forward layer that receives an input based on the input embeddings of input tokens and the spectral transform output and generates an output for a subsequent processing block.

Abstract: Transformer systems and methods of using such transformer systems including computer programs encoded on a computer storage medium, for performing a deep learning task on an input sequence to generate an encoded output. In one aspect, one of the transformer systems includes an encoder architecture block, comprising: a spectral transform mixing layer that receives input embeddings of input tokens and generates, as output, a spectral transform output along a sequence dimension of the input embeddings; and a feed forward layer that receives an input based on the input embeddings of input tokens and the spectral transform output and generates an output for a subsequent processing block.