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fix: multiplier applied twice in finalize_updown

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v0xie 2023-10-22 09:27:48 -07:00
parent 4a50c9638c
commit 3b8515d2c9
1 changed files with 22 additions and 1 deletions
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23
extensions-builtin/Lora/network_oft.py
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@ -54,7 +54,8 @@ class NetworkModuleOFT(network.NetworkModule):
return R return R
def calc_updown(self, orig_weight): def calc_updown(self, orig_weight):
R = self.get_weight(self.oft_blocks, self.multiplier()) multiplier = self.multiplier() * self.calc_scale()
R = self.get_weight(self.oft_blocks, multiplier)
merged_weight = self.merge_weight(R, orig_weight) merged_weight = self.merge_weight(R, orig_weight)
updown = merged_weight.to(orig_weight.device, dtype=orig_weight.dtype) - orig_weight updown = merged_weight.to(orig_weight.device, dtype=orig_weight.dtype) - orig_weight
@ -62,3 +63,23 @@ class NetworkModuleOFT(network.NetworkModule):
orig_weight = orig_weight orig_weight = orig_weight
return self.finalize_updown(updown, orig_weight, output_shape) return self.finalize_updown(updown, orig_weight, output_shape)
# override to remove the multiplier/scale factor; it's already multiplied in get_weight
def finalize_updown(self, updown, orig_weight, output_shape, ex_bias=None):
#return super().finalize_updown(updown, orig_weight, output_shape, ex_bias)
if self.bias is not None:
updown = updown.reshape(self.bias.shape)
updown += self.bias.to(orig_weight.device, dtype=orig_weight.dtype)
updown = updown.reshape(output_shape)
if len(output_shape) == 4:
updown = updown.reshape(output_shape)
if orig_weight.size().numel() == updown.size().numel():
updown = updown.reshape(orig_weight.shape)
if ex_bias is not None:
ex_bias = ex_bias * self.multiplier()
return updown, ex_bias