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fix: wrong devices for eye and constraint

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v0xie 2024-01-22 02:52:34 -08:00
parent cb5b335acd
commit fd383140cf
1 changed files with 2 additions and 2 deletions
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4
extensions-builtin/Lora/network_oft.py
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@ -57,12 +57,12 @@ class NetworkModuleOFT(network.NetworkModule):
def calc_updown(self, orig_weight):
oft_blocks = self.oft_blocks.to(orig_weight.device)
eye = torch.eye(self.block_size, device=self.oft_blocks.device)
eye = torch.eye(self.block_size, device=oft_blocks.device)
if self.is_kohya:
block_Q = oft_blocks - oft_blocks.transpose(1, 2) # ensure skew-symmetric orthogonal matrix
norm_Q = torch.norm(block_Q.flatten())
new_norm_Q = torch.clamp(norm_Q, max=self.constraint)
new_norm_Q = torch.clamp(norm_Q, max=self.constraint.to(oft_blocks.device))
block_Q = block_Q * ((new_norm_Q + 1e-8) / (norm_Q + 1e-8))
oft_blocks = torch.matmul(eye + block_Q, (eye - block_Q).float().inverse())