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What does it mean that the decoder can be parallelized during training?

Let's assume a transformer (with both encoder and decoder) is employed for a time-series prediction. I.e. from the input sequence x_0, ..., x_N we want to predict y_0, ..., y_N. Is this the way that parallelization occurs during training?

  • form the batch [], [y_0], ..., [y_0, ..., y_N-1]
  • feed this batch to the transformer, together with the input sequence
  • we will obtain the batch Y_0, Y_1, ..., Y_N
  • compare against y_0, ..., y_N and form the loss (*)

(*) here, some teacher ratio techiques may be employed, so that more passes may be required

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