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What's the purpose of concating x, -x and mask in CheckerboardAffineCoupling layer ? x_ = self.in_bn(x * mask) x_ = torch.cat((x_, -x_), dim=1) x_ = torch.cat((x_, mask), dim=1)
I havent't managed to find any references for this operation in original paper.
The text was updated successfully, but these errors were encountered:
Hi.
What's the purpose of concating x, -x and mask in CheckerboardAffineCoupling layer ?
x_ = self.in_bn(x * mask) x_ = torch.cat((x_, -x_), dim=1) x_ = torch.cat((x_, mask), dim=1)
I havent't managed to find any references for this operation in original paper.
The text was updated successfully, but these errors were encountered: