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There is a package import _'from cortex_DIM.functions.gan_losses import get_positive_expectation, get_negative_expectation'_
Neither '_pip install cortex_DIM_' nor '_conda install cortex_DIM_' could…
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the prior term of deep infomax is a minimax game, like GAN. But I can not find any code about it in train.py. Do I have a wrong understand or your implement has some problem?
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the following code ：
```
term_a = torch.log(self.prior_d(prior)).mean()
term_b = torch.log(1.0 - self.prior_d(y)).mean()
PRIOR = - (term_a + term_b) * self.gamma
```
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"-(term_a + term_b)" …
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The objective function of matching the prior is a min-max function，but in your code I can not see the min-max procedure，I think there is bug in your code.