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adjustautocorrelation's Issues

Transformer mask

If my transformer code have mask operation,should I also have a rho operation for it

adjust

If I want to adjust,Am I going to set out_adj and in_adj to True

some question about 𝐗_π‘‘βˆ’πœŒπ—_(π‘‘βˆ’1) in the code

Hello!
as the paper said,the input and output should be:
image
but the code in forecasting_runner:
if args.inp_adj: x = torch.cat([avg[None].repeat(bs, 1, 1), x], dim=1) x = x[:, 1:] - rho * x[:, :-1] prd_y = self.model(x) if args.out_adj: prd_y += rho * x[:, -1]
the x[:, -1] under has changed which mean that x[:, -1]=x[:, 1:] - rho * x[:, :-1] instead of x_{t-1}.
Do I misunderstand?

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