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lllyasviel
2024-01-27 05:12:34 -08:00
parent 0b00aaf897
commit 1cc40d24d7
44 changed files with 1885 additions and 167 deletions
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ldm_patched/modules/clip_model.py
+1 -1
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@@ -57,7 +57,7 @@ class CLIPEncoder(torch.nn.Module):
self.layers = torch.nn.ModuleList([CLIPLayer(embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations) for i in range(num_layers)])
def forward(self, x, mask=None, intermediate_output=None):
optimized_attention = optimized_attention_for_device(x.device, mask=mask is not None)
optimized_attention = optimized_attention_for_device(x.device, mask=mask is not None, small_input=True)
if intermediate_output is not None:
if intermediate_output < 0: