code: 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,
      )
  
imports: import torch
  import networks
  from modules import patches
label_desc: Use image node_id 1 to create a new LoraPatches object  with example: obj = LoraPatches()