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fisher-information-matrix's Issues

Distribution in FIM calculation

Hi Tudor,

I feel grateful that you release the codes and they are helpful. However, I have a question here.

L48 - L52 in fim.py:

logits = model(data)        
if empirical:           
    outdx = target.unsqueeze(1)        
else:            
    outdx = Categorical(logits=logits).sample().unsqueeze(1).detach()

Here the logits are the output of the model, whose last layer is log_softmax. So the logits might be negative rather than rational probabilities, which makes outdx meaningless. Am I understanding wrong somewhere? Or should we add a line logits = torch.exp(logits)?

Thanks for your attention.

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