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Replace dropout2 on Conv2dSubsampling with Dropout3, share time dim
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@ -2013,7 +2013,7 @@ class Conv2dSubsampling(nn.Module):
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# max_log_eps=0.0 is to prevent both eps and the output of self.out from
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# max_log_eps=0.0 is to prevent both eps and the output of self.out from
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# getting large, there is an unnecessary degree of freedom.
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# getting large, there is an unnecessary degree of freedom.
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self.out_norm = BasicNorm(out_channels)
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self.out_norm = BasicNorm(out_channels)
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self.dropout = Dropout2(dropout)
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self.dropout = Dropout3(dropout, shared_dim=1)
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def forward(self, x: torch.Tensor) -> torch.Tensor:
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def forward(self, x: torch.Tensor) -> torch.Tensor:
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