class_docstr: Computes a weighted penalty for embeddings involved in score computations.
class_docstr_tok: ["Computes","a","weighted","penalty","for","embeddings","involved","in","score","computations","."]
code: def forward(
      self,
      src_pos: FloatTensorType,
      dst_pos: FloatTensorType,
      src_operators: Optional[FloatTensorType],
      dst_operators: Optional[FloatTensorType],
  ) -> FloatTensorType:
      pass
  
file_path: PyTorch-BigGraph/torchbiggraph/regularizers.py
imports: from abc import ABC, abstractmethod
  from typing import Optional
  import torch
  import torchbiggraph.model
  from torchbiggraph.operators import AbstractDynamicOperator, AbstractOperator
  from torchbiggraph.plugin import PluginRegistry
  from torchbiggraph.types import FloatTensorType, LongTensorType
label_desc: Use image node_id 3 for calling the AbstractRegularizer obj's underlying member method code with example usage: obj.forward(src_pos, dst_pos, src_operators, dst_operators) without return types