class_docstr: Base class for defining loss functions. Sub-classes must implement compute_loss function.
  
  Args:
      opts: command line arguments
class_docstr_tok: ["Base","class","for","defining","loss","functions",".","Sub-classes","must","implement","compute_loss","function",".","Args",":","opts",":","command","line","arguments"]
code: def extra_repr(self) -> str:
      return ""
  
file_path: ml-cvnets/loss_fn/base_criteria.py
imports: import abc
  import argparse
  from typing import Any
  from torch import nn
  from utils import logger
label_desc: Use image node_id 4 for calling the BaseCriteria obj's underlying member method code with example usage: obj.extra_repr() and returns: str