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authorKohaku-Blueleaf <59680068+KohakuBlueleaf@users.noreply.github.com>2024-01-05 16:31:48 +0800
committerKohaku-Blueleaf <59680068+KohakuBlueleaf@users.noreply.github.com>2024-01-05 16:31:48 +0800
commitf8f38c7c28e48f9f79225c969e3e82b1adcfb910 (patch)
tree7f5fe31ac316b44fc6aa00795a0353bad096b11e
parenta06dab8d7aaeca1900acd565df7667087e8f064c (diff)
Fix dtype casting for OFT module
-rw-r--r--extensions-builtin/Lora/network_oft.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/extensions-builtin/Lora/network_oft.py b/extensions-builtin/Lora/network_oft.py
index fa647020..342fcd0d 100644
--- a/extensions-builtin/Lora/network_oft.py
+++ b/extensions-builtin/Lora/network_oft.py
@@ -56,7 +56,7 @@ class NetworkModuleOFT(network.NetworkModule):
self.block_size, self.num_blocks = factorization(self.out_dim, self.dim)
def calc_updown(self, orig_weight):
- oft_blocks = self.oft_blocks.to(orig_weight.device, dtype=orig_weight.dtype)
+ oft_blocks = self.oft_blocks.to(orig_weight.device)
eye = torch.eye(self.block_size, device=self.oft_blocks.device)
if self.is_kohya:
@@ -66,7 +66,7 @@ class NetworkModuleOFT(network.NetworkModule):
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())
- R = oft_blocks.to(orig_weight.device, dtype=orig_weight.dtype)
+ R = oft_blocks.to(orig_weight.device)
# This errors out for MultiheadAttention, might need to be handled up-stream
merged_weight = rearrange(orig_weight, '(k n) ... -> k n ...', k=self.num_blocks, n=self.block_size)
@@ -77,6 +77,6 @@ class NetworkModuleOFT(network.NetworkModule):
)
merged_weight = rearrange(merged_weight, 'k m ... -> (k m) ...')
- updown = merged_weight.to(orig_weight.device, dtype=orig_weight.dtype) - orig_weight
+ updown = merged_weight.to(orig_weight.device) - orig_weight.to(merged_weight.dtype)
output_shape = orig_weight.shape
return self.finalize_updown(updown, orig_weight, output_shape)