class_docstr: Judge converge by absolute loss value. When loss value smaller than eps, converge flag
  will be provided.
class_docstr_tok: ["Judge","converge","by","absolute","loss","value",".","When","loss","value","smaller","than","eps",",","converge","flag","will","be","provided","."]
code: def is_converge(self, loss):
      if loss <= self.eps:
          converge_flag = True
      else:
          converge_flag = False
      return converge_flag
  
file_path: FATE/python/fate/ml/utils/_convergence.py
imports: import logging
  import torch
label_desc: Use image node_id 1 for calling the _AbsConverge obj's underlying member method code with example usage: obj.is_converge(loss) and returns: converge_flag