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Re-add normalization at the tail of the RRDB

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This commit is contained in:
James Betker 2021-06-05 23:04:05 -06:00
parent 184e887122
commit 65d0376b90
1 changed files with 3 additions and 2 deletions
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5
codes/models/diffusion/rrdb_diffusion.py
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@ -160,6 +160,7 @@ class RRDBNet(nn.Module):
self.conv_last = nn.Conv2d(self.mid_channels, out_channels, 3, 1, 1)
self.lrelu = nn.LeakyReLU(negative_slope=0.2, inplace=True)
self.normalize = nn.GroupNorm(num_groups=8, num_channels=self.mid_channels)
for m in [
self.conv_body, self.conv_up1,
@ -186,10 +187,10 @@ class RRDBNet(nn.Module):
# upsample
out = torch.cat([self.lrelu(
self.conv_up1(F.interpolate(feat, scale_factor=2, mode='nearest'))),
self.normalize(self.conv_up1(F.interpolate(feat, scale_factor=2, mode='nearest')))),
d2], dim=1)
out = torch.cat([self.lrelu(
self.conv_up2(F.interpolate(out, scale_factor=2, mode='nearest'))),
self.normalize(self.conv_up2(F.interpolate(out, scale_factor=2, mode='nearest')))),
d1], dim=1)
out = self.conv_last(self.lrelu(self.conv_hr(out)))