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Small refactor of some vae code. (#9787)
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@@ -145,7 +145,7 @@ class Downsample(nn.Module):
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class ResnetBlock(nn.Module):
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def __init__(self, *, in_channels, out_channels=None, conv_shortcut=False,
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dropout, temb_channels=512, conv_op=ops.Conv2d):
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dropout=0.0, temb_channels=512, conv_op=ops.Conv2d):
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super().__init__()
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self.in_channels = in_channels
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out_channels = in_channels if out_channels is None else out_channels
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@@ -183,7 +183,7 @@ class ResnetBlock(nn.Module):
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stride=1,
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padding=0)
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def forward(self, x, temb):
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def forward(self, x, temb=None):
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h = x
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h = self.norm1(h)
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h = self.swish(h)
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