mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2024-06-07 21:20:49 +00:00
32 lines
2.5 KiB
Python
32 lines
2.5 KiB
Python
|
import torch
|
||
|
|
|
||
|
|
import networks
|
||
|
|
from modules import patches
|
||
|
|
|
||
|
|
|
||
|
|
class LoraPatches:
|
||
|
|
def __init__(self):
|
||
|
|
self.Linear_forward = patches.patch(__name__, torch.nn.Linear, 'forward', networks.network_Linear_forward)
|
||
|
|
self.Linear_load_state_dict = patches.patch(__name__, torch.nn.Linear, '_load_from_state_dict', networks.network_Linear_load_state_dict)
|
||
|
|
self.Conv2d_forward = patches.patch(__name__, torch.nn.Conv2d, 'forward', networks.network_Conv2d_forward)
|
||
|
|
self.Conv2d_load_state_dict = patches.patch(__name__, torch.nn.Conv2d, '_load_from_state_dict', networks.network_Conv2d_load_state_dict)
|
||
|
|
self.GroupNorm_forward = patches.patch(__name__, torch.nn.GroupNorm, 'forward', networks.network_GroupNorm_forward)
|
||
|
|
self.GroupNorm_load_state_dict = patches.patch(__name__, torch.nn.GroupNorm, '_load_from_state_dict', networks.network_GroupNorm_load_state_dict)
|
||
|
|
self.LayerNorm_forward = patches.patch(__name__, torch.nn.LayerNorm, 'forward', networks.network_LayerNorm_forward)
|
||
|
|
self.LayerNorm_load_state_dict = patches.patch(__name__, torch.nn.LayerNorm, '_load_from_state_dict', networks.network_LayerNorm_load_state_dict)
|
||
|
|
self.MultiheadAttention_forward = patches.patch(__name__, torch.nn.MultiheadAttention, 'forward', networks.network_MultiheadAttention_forward)
|
||
|
|
self.MultiheadAttention_load_state_dict = patches.patch(__name__, torch.nn.MultiheadAttention, '_load_from_state_dict', networks.network_MultiheadAttention_load_state_dict)
|
||
|
|
|
||
|
|
def undo(self):
|
||
|
|
self.Linear_forward = patches.undo(__name__, torch.nn.Linear, 'forward')
|
||
|
|
self.Linear_load_state_dict = patches.undo(__name__, torch.nn.Linear, '_load_from_state_dict')
|
||
|
|
self.Conv2d_forward = patches.undo(__name__, torch.nn.Conv2d, 'forward')
|
||
|
|
self.Conv2d_load_state_dict = patches.undo(__name__, torch.nn.Conv2d, '_load_from_state_dict')
|
||
|
|
self.GroupNorm_forward = patches.undo(__name__, torch.nn.GroupNorm, 'forward')
|
||
|
|
self.GroupNorm_load_state_dict = patches.undo(__name__, torch.nn.GroupNorm, '_load_from_state_dict')
|
||
|
|
self.LayerNorm_forward = patches.undo(__name__, torch.nn.LayerNorm, 'forward')
|
||
|
|
self.LayerNorm_load_state_dict = patches.undo(__name__, torch.nn.LayerNorm, '_load_from_state_dict')
|
||
|
|
self.MultiheadAttention_forward = patches.undo(__name__, torch.nn.MultiheadAttention, 'forward')
|
||
|
|
self.MultiheadAttention_load_state_dict = patches.undo(__name__, torch.nn.MultiheadAttention, '_load_from_state_dict')
|
||
|
|
|