class_docstr: Configuration class
      
class_docstr_tok: ["Configuration","class"]
code: def step(self, action):
      config = copy.deepcopy(self)
      status = config.params[action[0]].step(action[1])
  
      return status, config
  
imports: import math
  import random
  import logging
  import copy
  import torch
  from torch import optim
  from torch import nn
  import torch.nn.functional
  import numpy
  import nni
  from nni.tuner import Tuner
label_desc: Use image node_id 5 for calling the Configuration obj's underlying member method code with example usage: obj.step(action) and returns: status,  config