class_docstr: MSELoss.
  
  Args:
      reduction (str, optional): The method that reduces the loss to a
          scalar. Options are "none", "mean" and "sum".
      loss_weight (float, optional): The weight of the loss. Defaults to 1.0
code: def __init__(self, reduction="mean", loss_weight=1.0):
      super().__init__()
      self.reduction = reduction
      self.loss_weight = loss_weight
  
file_path: insightface/detection/scrfd/mmdet/models/losses/mse_loss.py
imports: import torch.nn
  import torch.nn.functional
  from ..builder import LOSSES
  from .utils import weighted_loss
label_desc: Use image node_id 1 to create a new MSELoss object from inherited base classes: nn with example: obj = MSELoss(reduction, loss_weight)