credit.postblock.wet_mask_samudra#
Classes#
Post-processing layer that applies wet mask to ocean predictions |
Module Contents#
- class credit.postblock.wet_mask_samudra.WetMaskBlock(conf)#
Bases:
torch.nn.ModulePost-processing layer that applies wet mask to ocean predictions Zero trainable parameters, but mask influences gradients
Masks predictions so land points = 0, ocean points preserve values. This encourages the model to focus learning on ocean regions.
- forward(predictions)#
Apply wet mask to predictions with gradient influence
- Parameters:
predictions – tensor of shape (batch, n_vars, time, lat, lon)
- Returns:
same shape, with land values set to zero
- Return type:
masked_predictions