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authorAUTOMATIC1111 <16777216c@gmail.com>2023-08-31 04:38:34 +0000
committerAUTOMATIC1111 <16777216c@gmail.com>2023-08-31 04:38:34 +0000
commit5ef669de080814067961f28357256e8fe27544f4 (patch)
tree655f4582e692f0fc3667b3b668ad365ac3ab92ae /extensions-builtin/Lora/network.py
parentc9c8485bc1e8720aba70f029d25cba1c4abf2b5c (diff)
parente7965a5eb804a51e949df07c66c0b7c61ab7fa7b (diff)
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Merge branch 'release_candidate'
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()