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Fourier Image Transformer (FIT) can solve relevant image analysis tasks in Fourier space.

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When I uncomment the line `trainer.fit(model, datamodule=dm)` in the `Super-Resolution - MNIST Example.ipynb` file, I get this error `TypeError: 'NoneType' object is not callable` on line 53 of `SResTransformer.py` file....

Hello, I am repeating the results of FIT, but when I set the resolution to 315(Tomographic questions), the fc loss is extremely high(like 100000 and above), I sampled 2460 _bin_data,...

``` def training_step(self, batch, batch_idx): fc, (mag_min, mag_max) = batch x_fc = fc[:, self.dst_flatten_order][:, :-1] y_fc = fc[:, self.dst_flatten_order][:, 1:] pred = self.sres.forward(x_fc) fc_loss, amp_loss, phi_loss = self.criterion(pred, y_fc, mag_min,...