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fix missing resisidual for highest resolution of the unet

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Phil Wang
2022-06-15 18:01:12 -07:00
parent b4c3e5b854
commit 6647050c33
2 changed files with 8 additions and 3 deletions
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7
dalle2_pytorch/dalle2_pytorch.py
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@@ -1489,8 +1489,10 @@ class Unet(nn.Module):
Upsample(dim_in) Upsample(dim_in)
])) ]))
final_dim_in = dim * (1 if memory_efficient else 2)
self.final_conv = nn.Sequential( self.final_conv = nn.Sequential(
ResnetBlock(dim, dim, groups = resnet_groups[0]), ResnetBlock(final_dim_in, dim, groups = resnet_groups[0]),
nn.Conv2d(dim, self.channels_out, 1) nn.Conv2d(dim, self.channels_out, 1)
) )
@@ -1691,6 +1693,9 @@ class Unet(nn.Module):
x = upsample(x) x = upsample(x)
if len(hiddens) > 0:
x = torch.cat((x, hiddens.pop()), dim = 1)
return self.final_conv(x) return self.final_conv(x)
class LowresConditioner(nn.Module): class LowresConditioner(nn.Module):

2
dalle2_pytorch/version.py
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@@ -1 +1 @@
__version__ = '0.8.1' __version__ = '0.9.0'