De-standarization of output data

[luiservela]

Dear all,
I have been looking at the inference.py script and I see how lines 190 and 191 (https://github.com/NVlabs/FourCastNet/blob/93360c1720a9f97aabf970689f21c9fad8737788/inference/inference.py#L190-L191) in the autoregresive_interpolation function help out standardize the input data.

However, I see nowhere the inverse process taking place for output data (seq_real and seq_pred).

Could this be achieved by simply running: seq_real = seq_real * stds + means seq_pred = seq_pred * stds + means

or am I missing something critical here?

Best,

LuisV