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: str = "mean", loss_weight: float = 1.0
  ) -> None:
      super().__init__()
      self.reduction = reduction
      self.loss_weight = loss_weight
  
file_path: mmdetection/mmdet/models/losses/smooth_l1_loss.py
imports: from typing import Optional
  import torch
  import torch.nn
  from torch import Tensor
  from mmdet.registry import MODELS
  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)