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License: MIT License
PyTorch implementation of realNVP
License: MIT License
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.
Hi.
Would you please upload your pretrained models or checkpoints?
按照初始化的设置 训练了100个epoch
===> Average train loss: nan
===> Average train log-likelihood: nan
===> Average train bit_per_dim: nan
===> Average validation loss: nan
===> Average validation log-likelihood: nan
===> Average validation bits/dim: nan
是参数设置有问题?
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