Reproducing Results in Table 1 about neuraloperator HOT 4 CLOSED

I confirm I get test_l2 = 0.00286 too.

from neuraloperator.

Hi Alasdair, in the paper, we used the burgers_R10.mat dataset with modes=16, width=64, and epoch=500. If you get better results probably you are using burgers_v1000.mat dataset, which has smoother initial conditions and therefore easier to model.

from neuraloperator.

No I was using burgers_data_R10.mat from your google drive. I didn't change any code in fourier_1d.py.

Upon closer inspection, I was able to get a test_l2 closer to the number in Table 1 when I reverted back a few commits. I'm guessing that the one-order-of-magnitude improvement is due to the commit where you remove the batch norm. It's interesting that batch norm makes the performance a lot worse here.

from neuraloperator.

That's interesting. We observed the Fourier neural network usually doesn't require the batchnorm. But it's kind of surprising it gets 1 order of magnitude improvement. Thanks for letting me know.

from neuraloperator.