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authorJaredTherriault <noirjt@live.com>2023-09-04 17:29:33 -0700
committerGitHub <noreply@github.com>2023-09-04 17:29:33 -0700
commit5e16914a4e157ab3ed96f8b7841e1290a56f4484 (patch)
tree655f4582e692f0fc3667b3b668ad365ac3ab92ae /extensions-builtin/Lora/network.py
parent8f3b02f09535f55d3673aa9ea589396b8614f799 (diff)
parent5ef669de080814067961f28357256e8fe27544f4 (diff)
Merge branch 'AUTOMATIC1111:master' into master
Diffstat (limited to 'extensions-builtin/Lora/network.py')
-rw-r--r--extensions-builtin/Lora/network.py7
1 files changed, 5 insertions, 2 deletions
diff --git a/extensions-builtin/Lora/network.py b/extensions-builtin/Lora/network.py
index 0a18d69e..d8e8dfb7 100644
--- a/extensions-builtin/Lora/network.py
+++ b/extensions-builtin/Lora/network.py
@@ -133,7 +133,7 @@ class NetworkModule:
return 1.0
- def finalize_updown(self, updown, orig_weight, output_shape):
+ def finalize_updown(self, updown, orig_weight, output_shape, ex_bias=None):
if self.bias is not None:
updown = updown.reshape(self.bias.shape)
updown += self.bias.to(orig_weight.device, dtype=orig_weight.dtype)
@@ -145,7 +145,10 @@ class NetworkModule:
if orig_weight.size().numel() == updown.size().numel():
updown = updown.reshape(orig_weight.shape)
- return updown * self.calc_scale() * self.multiplier()
+ if ex_bias is not None:
+ ex_bias = ex_bias * self.multiplier()
+
+ return updown * self.calc_scale() * self.multiplier(), ex_bias
def calc_updown(self, target):
raise NotImplementedError()