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| author | AUTOMATIC1111 <16777216c@gmail.com> | 2023-05-17 06:26:26 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-05-17 06:26:26 +0000 |
| commit | 85232a5b26666854deae59cf950f744740dd5c37 (patch) | |
| tree | 3af76d8c6ba3173ffd925336d902da058df4e02d /extensions-builtin/ScuNET/scunet_model_arch.py | |
| parent | 56a2672831751480f94a018f861f0143a8234ae8 (diff) | |
| parent | 4b07f2f584596604c4499efb0b0295e96985080f (diff) | |
| download | stable-diffusion-webui-gfx803-85232a5b26666854deae59cf950f744740dd5c37.tar.gz stable-diffusion-webui-gfx803-85232a5b26666854deae59cf950f744740dd5c37.tar.bz2 stable-diffusion-webui-gfx803-85232a5b26666854deae59cf950f744740dd5c37.zip | |
Merge branch 'dev' into taesd-a
Diffstat (limited to 'extensions-builtin/ScuNET/scunet_model_arch.py')
| -rw-r--r-- | extensions-builtin/ScuNET/scunet_model_arch.py | 11 |
1 files changed, 7 insertions, 4 deletions
diff --git a/extensions-builtin/ScuNET/scunet_model_arch.py b/extensions-builtin/ScuNET/scunet_model_arch.py index 43ca8d36..b51a8806 100644 --- a/extensions-builtin/ScuNET/scunet_model_arch.py +++ b/extensions-builtin/ScuNET/scunet_model_arch.py @@ -61,7 +61,9 @@ class WMSA(nn.Module): Returns: output: tensor shape [b h w c] """ - if self.type != 'W': x = torch.roll(x, shifts=(-(self.window_size // 2), -(self.window_size // 2)), dims=(1, 2)) + if self.type != 'W': + x = torch.roll(x, shifts=(-(self.window_size // 2), -(self.window_size // 2)), dims=(1, 2)) + x = rearrange(x, 'b (w1 p1) (w2 p2) c -> b w1 w2 p1 p2 c', p1=self.window_size, p2=self.window_size) h_windows = x.size(1) w_windows = x.size(2) @@ -85,8 +87,9 @@ class WMSA(nn.Module): output = self.linear(output) output = rearrange(output, 'b (w1 w2) (p1 p2) c -> b (w1 p1) (w2 p2) c', w1=h_windows, p1=self.window_size) - if self.type != 'W': output = torch.roll(output, shifts=(self.window_size // 2, self.window_size // 2), - dims=(1, 2)) + if self.type != 'W': + output = torch.roll(output, shifts=(self.window_size // 2, self.window_size // 2), dims=(1, 2)) + return output def relative_embedding(self): @@ -262,4 +265,4 @@ class SCUNet(nn.Module): nn.init.constant_(m.bias, 0) elif isinstance(m, nn.LayerNorm): nn.init.constant_(m.bias, 0) - nn.init.constant_(m.weight, 1.0)
\ No newline at end of file + nn.init.constant_(m.weight, 1.0) |