code: def __init__(self, weight_init_func=None, **kwargs):
      super().__init__(**kwargs)
      self.weight_init_func = weight_init_func
      if self.weight_init_func is None:
          self.weight_init_func = self.get_default_weight_init_func()
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/losses/mixins.py
imports: import torch
  from ..utils import common_functions
label_desc: Use image node_id 1 to create a new WeightMixin object  with example: obj = WeightMixin(weight_init_func)