code: def __init__(
      self,
      loss_fn: AbstractLossFunction,
      relation_weights: List[float],
      overrides: Optional[Dict[str, Any]] = None,
  ):
      self.loss_fn = loss_fn
      self.relation_weights = relation_weights
      self.overrides = overrides
  
file_path: PyTorch-BigGraph/torchbiggraph/batching.py
imports: import time
  from abc import ABC, abstractmethod
  from typing import Any, Callable, Dict, Iterable, List, Optional
  import torch
  from torchbiggraph.edgelist import EdgeList
  from torchbiggraph.losses import AbstractLossFunction
  from torchbiggraph.model import MultiRelationEmbedder, override_model, Scores
  from torchbiggraph.stats import Stats
  from torchbiggraph.types import LongTensorType
label_desc: Use image node_id 1 to create a new AbstractBatchProcessor object from inherited base classes: ABC with example: obj = AbstractBatchProcessor(loss_fn, relation_weights, overrides)