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authorpieresimakp <69743585+pieresimakp@users.noreply.github.com>2023-03-27 11:53:15 +0800
committerpieresimakp <69743585+pieresimakp@users.noreply.github.com>2023-03-27 11:53:15 +0800
commit68a5604cac50c27dbacf9775c9466600dc8bf789 (patch)
treee3cd120bb5321d2856ef0b51b244c3aa083e82c1 /extensions-builtin/Lora
parent774c691df8b99f5e24d3f41e451fe65f5b447952 (diff)
parent3b5a3fab91ff797b28239cda5b449aac1f85ad00 (diff)
Merge remote-tracking branch 'upstream/master' into pr-dev
Diffstat (limited to 'extensions-builtin/Lora')
-rw-r--r--extensions-builtin/Lora/lora.py5
1 files changed, 3 insertions, 2 deletions
diff --git a/extensions-builtin/Lora/lora.py b/extensions-builtin/Lora/lora.py
index edd95f78..696be8ea 100644
--- a/extensions-builtin/Lora/lora.py
+++ b/extensions-builtin/Lora/lora.py
@@ -2,6 +2,7 @@ import glob
import os
import re
import torch
+from typing import Union
from modules import shared, devices, sd_models, errors
@@ -235,7 +236,7 @@ def lora_calc_updown(lora, module, target):
return updown
-def lora_apply_weights(self: torch.nn.Conv2d | torch.nn.Linear | torch.nn.MultiheadAttention):
+def lora_apply_weights(self: Union[torch.nn.Conv2d, torch.nn.Linear, torch.nn.MultiheadAttention]):
"""
Applies the currently selected set of Loras to the weights of torch layer self.
If weights already have this particular set of loras applied, does nothing.
@@ -295,7 +296,7 @@ def lora_apply_weights(self: torch.nn.Conv2d | torch.nn.Linear | torch.nn.Multih
setattr(self, "lora_current_names", wanted_names)
-def lora_reset_cached_weight(self: torch.nn.Conv2d | torch.nn.Linear):
+def lora_reset_cached_weight(self: Union[torch.nn.Conv2d, torch.nn.Linear]):
setattr(self, "lora_current_names", ())
setattr(self, "lora_weights_backup", None)