class_docstr: Mean Squared Discriminator Loss 
class_docstr_tok: ["Mean","Squared","Discriminator","Loss"]
code: def __init__(
      self,
  ):
      super(MSEDLoss, self).__init__()
      self.loss_func = nn.MSELoss()
  
imports: import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 1 to create a new MSEDLoss object from inherited base classes: nn with example: obj = MSEDLoss()