class_docstr: L1 loss.
  
  Args:
      reduction (str, optional): The method to reduce the loss.
          Options are "none", "mean" and "sum".
      loss_weight (float, optional): The weight of loss.
code: def __init__(self, reduction="mean", loss_weight=1.0):
      super(L1Loss, self).__init__()
      self.reduction = reduction
      self.loss_weight = loss_weight
  
file_path: insightface/detection/scrfd/mmdet/models/losses/smooth_l1_loss.py
imports: import torch
  import torch.nn
  from ..builder import LOSSES
  from .utils import weighted_loss
label_desc: Use image node_id 1 to create a new L1Loss object from inherited base classes: nn with example: obj = L1Loss(reduction, loss_weight)